Elamur Research Paper Stars
Every library has its stars. ⭐ Here they are the scientists whose works in our library are cited the most: the hall of fame of the papers we read, summarise and link, with everyone who has an author page in one long ranking. 🏆 The ranking never sits still — it is worked out again with every build of the site, so a new paper or a new citation can move anyone up.
How the score is made
- The score of an author is the sum, over their works in our library, of each work's citations counted by OpenAlex plus the papers of our own library that cite it.
- Who is ranked: everyone with an author page here — 5 311 authors today.
- Ties go to the author with more works here, then by name.
- Only the works in our library count, so the score is a person's footprint in this library, not their whole career; their profile names their OpenAlex totals.
- Always moving: the ranking is computed anew every time the site is built, as new papers, authors and citations join the library. Last update: .
🏆 The top ten
🥇 #1 Ross Girshick
122 120 points = 116 543 OpenAlex citations + 5 577 in our library · h-index 84 · 10 works here
🏛️ Allen Institute for Artificial Intelligence
Language models & pretraining 2 · Reasoning 1Ross Girshick works in computer vision, above all on object detection, segmentation and learning visual features from images. The papers here trace a line from detectors that classify candidate regions with convolutional networks, through faster and denser detectors, to large-scale pre-training of vision models without labels.
🥈 #2 Kaiming He
80 216 points = 77 996 OpenAlex citations + 2 220 in our library · h-index 78 · 4 works here
🏛️ Google DeepMind (United Kingdom)
Language models & pretraining 2Kaiming He works in computer vision on deep networks for recognising and locating objects and on learning image features without labels. The four papers here cover two themes: object detectors that are faster or easier to train, and self-supervised pre-training that lets a vision model learn from unlabelled images before it is adapted to a task. The most cited of them is Faster R-CNN (2015).
🥉 #3 Karen Simonyan
79 123 points = 77 203 OpenAlex citations + 1 920 in our library · h-index 49 · 3 works here
Speech & spoken language 1 · Interpretability 1Karen Simonyan works on deep neural networks for images and sound. The three papers in this library deal with how the depth of a convolutional network affects image classification, how such a classifier can be inspected after training, and how a deep generative network can produce raw audio one sample at a time.
⭐ #4 Christopher D. Manning
75 625 points = 47 583 OpenAlex citations + 28 042 in our library · h-index 139 · 79 works here
Universal Dependencies 11 · Coreference resolution 6 · Dependency parsing 6 · Question answering 6 · Treebanks 4Christopher D. Manning works across natural language processing, from part-of-speech tagging and syntactic parsing to question answering, word representations and the analysis of neural language models.
⭐ #5 Andrew Zisserman
74 194 points = 72 409 OpenAlex citations + 1 785 in our library · h-index 174 · 3 works here
🏛️ Shanghai Jiao Tong University
Interpretability 1Andrew Zisserman works in computer vision and machine learning. The three papers in this library show recurring questions about deep networks for perception: how network depth shapes image recognition, how to see what a trained classifier has learned, and how one architecture could handle many kinds of input rather than images alone.
⭐ #6 David Cournapeau
61 908 points = 61 132 OpenAlex citations + 776 in our library · 2 works here
David Cournapeau works on open-source software for scientific computing in Python. The two papers here describe libraries that much numerical research in Python is built on: the array layer at the bottom of the stack and the collection of standard numerical algorithms placed on top of it. Both are written as reference descriptions of community projects, covering their history, design and scope.
⭐ #7 Pauli Virtanen
61 908 points = 61 132 OpenAlex citations + 776 in our library · h-index 29 · 2 works here
Pauli Virtanen works on scientific computing in Python as a contributor to its core open-source libraries. The two papers in this library are reference descriptions of SciPy and NumPy, the packages that supply arrays and standard numerical algorithms to a large share of research code written in the language. They cover how each project began, how it is designed and what it now includes.
⭐ #8 Ralf Gommers
61 908 points = 61 132 OpenAlex citations + 776 in our library · h-index 15 · 2 works here
Ralf Gommers works on open-source scientific software in Python. The two papers in this library describe NumPy and SciPy, the libraries that provide arrays and core numerical routines to much of the research code written in Python, and they document how these community projects started, how they are organised and what they cover. SciPy 1.0 (2019) marks the first major SciPy release.
⭐ #9 Stéfan J. van der Walt
61 908 points = 61 132 OpenAlex citations + 776 in our library · 2 works here
Stéfan J. van der Walt works on open-source tools for scientific computing in Python. The two papers in this library are reference accounts of NumPy and SciPy, the array library and the algorithm collection that much numerical research in Python depends on. Both describe a community project as a whole: its origins, its design and the scope of what it offers. Array Programming with NumPy (2020) argues that a small set of array ideas gives researchers a compact way to store, explore and analyse data.
⭐ #10 Yoshua Bengio
60 613 points = 47 487 OpenAlex citations + 13 126 in our library · h-index 187 · 23 works here
Machine translation 6 · Dialogue systems 3 · Language models & pretraining 1 · Question answering 1 · Speech & spoken language 1Yoshua Bengio works on deep learning and the representations that neural networks learn, with many of the papers here applied to language.
How the stars are spread
1 995 of the 5 311 authors have 1 000 points or more, the median author has 622 points, and the top ten alone hold 7 % of all points — the citations gather around a few very famous works.
The ranking
- #11 Quoc V. Le 58 551 points 31 works in our libraryLanguage models & pretraining 9 · Reasoning 4 · Machine translation 3 · Dialogue systems 2 · Question answering 1
- #12 Kyunghyun Cho 49 450 points 33 works in our libraryMachine translation 14 · Information retrieval & search 3 · Language models & pretraining 2 · Information extraction 2 · Dialogue systems 2
- #13 Luke Zettlemoyer 46 992 points 69 works in our libraryLanguage models & pretraining 15 · Question answering 10 · Semantic parsing & meaning representation 8 · Coreference resolution 7 · Semantic role labeling 7
- #14 Olaf Ronneberger 44 283 points 2 works in our library
- #15 Anna Potapenko 43 790 points 2 works in our library
- #16 Richard Evans 43 664 points 3 works in our librarySentiment & emotion 1
- #17 Andrew Y. Ng 40 350 points 10 works in our librarySentiment & emotion 2 · Speech & spoken language 1 · Evaluation & benchmarks 1 · Reasoning 1 · Knowledge graphs & ontologies 1
- #18 Trevor Darrell 39 970 points 8 works in our libraryVision & language 3 · Question answering 2
- #19 Oriol Vinyals 39 772 points 13 works in our libraryVision & language 2 · Machine translation 1 · Language models & pretraining 1 · Dialogue systems 1 · Speech & spoken language 1
- #20 Kristina Toutanova 39 185 points 19 works in our libraryPart-of-speech tagging 3 · Treebanks 2 · Semantic role labeling 2 · Language models & pretraining 2 · Question answering 2
- #21 Jeff Donahue 38 029 points 4 works in our libraryLanguage models & pretraining 1 · Vision & language 1
- #22 Sandhini Agarwal 37 795 points 5 works in our libraryLanguage models & pretraining 3
- #23 Zheng Zhang 37 460 points 9 works in our libraryCoreference resolution 2 · Named entity recognition 1 · Language models & pretraining 1 · Sentiment & emotion 1
- #24 Kenton Lee 37 211 points 13 works in our libraryLanguage models & pretraining 3 · Question answering 3 · Coreference resolution 2 · Semantic role labeling 2 · Information retrieval & search 2
- #25 Francisco Massa 36 983 points 4 works in our library
- #26 Yue Cao 35 110 points 3 works in our libraryLanguage models & pretraining 1 · Vision & language 1
- #27 Han Hu 33 989 points 2 works in our libraryCode & programming languages 1
- #28 David M. Blei 33 756 points 4 works in our library
- #29 Jeff Dean 33 563 points 6 works in our libraryMachine translation 1
- #30 Nitesh V. Chawla 33 319 points 4 works in our libraryLanguage models & pretraining 1 · Question answering 1 · Information retrieval & search 1
- #31 Salim Roukos 32 673 points 4 works in our libraryCoreference resolution 2 · Machine translation 1 · Evaluation & benchmarks 1 · Semantic parsing & meaning representation 1
- #32 Jacob Devlin 32 431 points 10 works in our libraryMachine translation 4 · Language models & pretraining 3 · Question answering 2 · Semitic languages 2 · Multilingual & cross-lingual NLP 1
- #33 Percy Liang 29 794 points 32 works in our libraryLanguage models & pretraining 7 · Semantic parsing & meaning representation 3 · Question answering 2 · Text generation 2 · Evaluation & benchmarks 2
- #34 Dzmitry Bahdanau 29 108 points 6 works in our libraryMachine translation 2 · Language models & pretraining 1 · Speech & spoken language 1 · Reasoning 1
- #35 Lawrence Page 28 918 points 2 works in our libraryInformation retrieval & search 1
- #36 Sergey Brin 28 918 points 2 works in our libraryInformation retrieval & search 1
- #37 Omer Levy 28 878 points 18 works in our libraryLanguage models & pretraining 4 · Coreference resolution 3 · Evaluation & benchmarks 3 · Semantic role labeling 1 · Question answering 1
- #38 Michael I. Jordan 28 752 points 2 works in our library
- #39 Ming-Wei Chang 28 358 points 11 works in our libraryQuestion answering 4 · Information retrieval & search 3 · Language models & pretraining 2 · Knowledge graphs & ontologies 2 · Text generation 1
- #40 Ilya Sutskever 28 183 points 13 works in our libraryReasoning 3 · Machine translation 1 · Language models & pretraining 1 · Sentiment & emotion 1 · Speech & spoken language 1
- #41 Ruslan Salakhutdinov 26 638 points 13 works in our libraryLanguage models & pretraining 3 · Vision & language 3 · Bias, fairness & safety 2 · Coreference resolution 1 · Question answering 1
- #42 Noam Shazeer 26 376 points 7 works in our libraryMachine translation 3 · Language models & pretraining 1 · Summarization 1 · Dialogue systems 1
- #43 Richard Socher 26 049 points 27 works in our libraryLanguage models & pretraining 5 · Question answering 3 · Reasoning 3 · Machine translation 2 · Summarization 2
- #44 Jason Wei 26 019 points 16 works in our libraryLanguage models & pretraining 10 · Reasoning 4 · Multilingual & cross-lingual NLP 1 · Information retrieval & search 1
- #45 Ian Goodfellow 25 589 points 5 works in our library
- #46 Geoffrey Hinton 25 530 points 5 works in our library
- #47 Alec Radford 25 510 points 10 works in our libraryLanguage models & pretraining 4 · Sentiment & emotion 1 · Speech & spoken language 1 · Vision & language 1
- #48 Danqi Chen 24 992 points 21 works in our libraryLanguage models & pretraining 6 · Question answering 6 · Knowledge graphs & ontologies 3 · Information retrieval & search 2 · Coreference resolution 1
- #49 Tomas Mikolov 24 402 points 12 works in our libraryLanguage models & pretraining 3 · Question answering 1 · Evaluation & benchmarks 1 · Reasoning 1 · Information retrieval & search 1
- #50 Jakob Uszkoreit 24 061 points 7 works in our libraryMachine translation 3 · Multilingual & cross-lingual NLP 1 · Evaluation & benchmarks 1 · Reasoning 1
- #51 Yoon Kim 23 928 points 11 works in our libraryLanguage models & pretraining 4 · Machine translation 2 · Efficient models & compression 2 · Syntax & grammar formalisms 1
- #52 Max Welling 23 800 points 2 works in our library
- #53 Naman Goyal 23 520 points 12 works in our libraryLanguage models & pretraining 7 · Multilingual & cross-lingual NLP 5 · Machine translation 2 · Question answering 1 · Text generation 1
- #54 Jianfeng Gao 23 503 points 31 works in our libraryLanguage models & pretraining 11 · Dialogue systems 6 · Question answering 4 · Reasoning 4 · Knowledge graphs & ontologies 2
- #55 Denny Zhou 22 605 points 16 works in our libraryLanguage models & pretraining 13 · Reasoning 5 · Multilingual & cross-lingual NLP 1 · Evaluation & benchmarks 1 · Information retrieval & search 1
- #56 Lukasz Kaiser 22 476 points 8 works in our libraryMachine translation 2 · Summarization 1 · Reasoning 1 · Efficient models & compression 1
- #57 Sam Gross 22 333 points 2 works in our library
- #58 James Bradbury 22 082 points 5 works in our libraryMachine translation 1
- #59 Amanda Askell 21 811 points 8 works in our libraryLanguage models & pretraining 6 · Bias, fairness & safety 2
- #60 Adam Lerer 21 678 points 3 works in our libraryLanguage models & pretraining 1 · Reasoning 1 · Bias, fairness & safety 1
- #61 Ashish Vaswani 21 578 points 8 works in our libraryMachine translation 3 · Efficient models & compression 1
- #62 Dmitry Kalenichenko 21 572 points 2 works in our library
- #63 Eduard Hovy 21 293 points 35 works in our libraryCoreference resolution 7 · Machine translation 3 · Semantic role labeling 2 · Question answering 2 · Evaluation & benchmarks 2
- #64 Llion Jones 21 170 points 4 works in our libraryMachine translation 3 · Question answering 1 · Evaluation & benchmarks 1
- #65 Yejin Choi 21 123 points 48 works in our libraryReasoning 14 · Language models & pretraining 7 · Bias, fairness & safety 7 · Question answering 4 · Text generation 4
- #66 Mike Lewis 20 994 points 21 works in our libraryLanguage models & pretraining 5 · Text generation 3 · Dialogue systems 3 · Information retrieval & search 3 · Semantic role labeling 2
- #67 Armand Joulin 20 884 points 14 works in our libraryLanguage models & pretraining 2 · Information retrieval & search 2 · Question answering 1 · Reasoning 1 · Tokenization & segmentation 1
- #68 Niki Parmar 20 754 points 5 works in our libraryMachine translation 3 · Speech & spoken language 1
- #69 Barret Zoph 20 538 points 8 works in our libraryLanguage models & pretraining 4 · Machine translation 1 · Speech & spoken language 1
- #70 Illia Polosukhin 20 444 points 2 works in our libraryMachine translation 1 · Question answering 1 · Evaluation & benchmarks 1
- #71 Noah A. Smith 19 970 points 61 works in our libraryLanguage models & pretraining 7 · Semantic parsing & meaning representation 7 · Bias, fairness & safety 6 · Semantic role labeling 5 · Dependency parsing 4
- #72 Graham Neubig 19 509 points 45 works in our libraryMachine translation 14 · Language models & pretraining 5 · Multilingual & cross-lingual NLP 5 · Evaluation & benchmarks 4 · Named entity recognition 3
- #73 Andreas Kopf 19 204 points 3 works in our libraryLanguage models & pretraining 1
- #74 Xuezhi Wang 19 122 points 10 works in our libraryLanguage models & pretraining 8 · Reasoning 4 · Text generation 1 · Multilingual & cross-lingual NLP 1 · Information retrieval & search 1
- #75 Girish Sastry 19 077 points 2 works in our libraryLanguage models & pretraining 1
- #76 Michael Collins 18 922 points 21 works in our libraryQuestion answering 3 · Machine translation 2 · Evaluation & benchmarks 2 · Semantic parsing & meaning representation 2 · Named entity recognition 1
- #77 Philipp Koehn 18 798 points 42 works in our libraryMachine translation 31 · Evaluation & benchmarks 19 · Multilingual & cross-lingual NLP 3 · Low-resource languages 3 · Coreference resolution 1
- #78 Adam Paszke 18 772 points 2 works in our library
- #79 Dan Klein 18 586 points 33 works in our libraryCoreference resolution 8 · Syntax & grammar formalisms 4 · Machine translation 2 · Language models & pretraining 2 · Text generation 2
- #80 Wen-tau Yih 18 577 points 23 works in our libraryQuestion answering 9 · Information retrieval & search 4 · Knowledge graphs & ontologies 3 · Language models & pretraining 2 · Semantic parsing & meaning representation 2
- #81 Jason Weston 18 513 points 23 works in our libraryDialogue systems 10 · Question answering 3 · Reasoning 3 · Bias, fairness & safety 2 · Coreference resolution 1
- #82 Samuel R. Bowman 18 502 points 21 works in our libraryLanguage models & pretraining 8 · Evaluation & benchmarks 5 · Bias, fairness & safety 5 · Question answering 2 · Interpretability 2
- #83 Diogo Almeida 18 464 points 2 works in our libraryLanguage models & pretraining 2
- #84 Gabriel Synnaeve 17 840 points 5 works in our librarySpeech & spoken language 2 · Language models & pretraining 1 · Multilingual & cross-lingual NLP 1 · Evaluation & benchmarks 1 · Reasoning 1
- #85 Lillian Lee 17 803 points 13 works in our librarySentiment & emotion 3 · Summarization 2 · Dependency parsing 1 · Dialogue systems 1 · Syntax & grammar formalisms 1
- #86 Abdelrahman Mohamed 17 713 points 4 works in our libraryLanguage models & pretraining 1 · Text generation 1 · Speech & spoken language 1
- #87 Victor Sanh 17 710 points 5 works in our libraryVision & language 2 · Language models & pretraining 1
- #88 Iryna Gurevych 17 662 points 45 works in our libraryReasoning 6 · Multilingual & cross-lingual NLP 5 · Coreference resolution 4 · Language models & pretraining 3 · Dialogue systems 3
- #89 Alexander Kirillov 17 626 points 2 works in our library
- #90 Greg S. Corrado 17 532 points 3 works in our library
- #91 Maarten Bosma 17 232 points 4 works in our libraryLanguage models & pretraining 3 · Reasoning 1 · Code & programming languages 1
- #92 Yinhan Liu 17 209 points 4 works in our libraryLanguage models & pretraining 2 · Coreference resolution 1 · Text generation 1 · Dialogue systems 1
- #93 Michael Auli 16 922 points 17 works in our libraryMachine translation 4 · Summarization 2 · Language models & pretraining 1 · Question answering 1 · Text generation 1
- #94 Thomas Wolf 16 906 points 4 works in our libraryEvaluation & benchmarks 1
- #95 Saining Xie 16 649 points 5 works in our libraryLanguage models & pretraining 4 · Vision & language 1
- #96 Colin Raffel 16 618 points 15 works in our libraryLanguage models & pretraining 5 · Machine translation 1 · Multilingual & cross-lingual NLP 1 · Tokenization & segmentation 1
- #97 Diederik P Kingma 16 519 points 2 works in our library
- #98 Veselin Stoyanov 16 310 points 11 works in our libraryCoreference resolution 4 · Sentiment & emotion 4 · Language models & pretraining 1 · Summarization 1 · Text generation 1
- #99 Sam Shleifer 16 264 points 3 works in our libraryLanguage models & pretraining 1 · Multilingual & cross-lingual NLP 1
- #100 Ed Chi 16 184 points 5 works in our libraryLanguage models & pretraining 3 · Reasoning 3
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