Been Kim
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
- Artificial Intelligence top 1%
- Explainable Artificial Intelligence (XAI)
- Topic Modeling
Papers in
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- Explainable Artificial Intelligence (XAI) 17
- Topic Modeling 3
- AI-based Problem Solving and Planning 3
- Artificial Intelligence in Games 2
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- Visual perception and processing mechanisms 2
- Co-authors
- Oluwasanmi Koyejo (1 shared paper)Rajiv Khanna (1 shared paper)Finale Doshi‐Velez (4 shared papers)Julie Shah (8 shared papers)MARTIN P. WATTENBERG (6 shared papers)Emily Reif (4 shared papers)Fernanda Viégas (3 shared papers)Julius Adebayo (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)AI Magazine (1 paper)Computational Brain & Behavior (1 paper)Journal of Artificial Intelligence Research (1 paper)Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Been Kim
35 papers receiving 2.1k citations
Been Kim's Hit Papers
Peers
Comparison fields: 5 of 126
- Health Informatics 107
- Artificial Intelligence 1.4k
- Computer Vision and Pattern Recognition 202
- Human-Computer Interaction 53
- Safety Research 75
Countries citing papers authored by Been Kim
This map shows the geographic impact of Been Kim's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Been Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Been Kim more than expected).
Fields of papers citing papers by Been Kim
This network shows the impact of papers produced by Been Kim. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Been Kim. The network helps show where Been Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Been Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The (Un)reliability of Saliency Methods Hit paper breakdown → | 2019 | 362 |
| 2 | Examples are not enough, learn to criticize! Criticism for Interpretability Hit paper breakdown → | 2016 | 345 |
| 3 | 2019 | 307 | |
| 4 | Explainable deep learning for efficient and robust pattern recognition: A survey of recent developments Hit paper breakdown → | 2021 | 233 |
| 5 | 2010 | 144 | |
| 6 | 2018 | 120 | |
| 7 | Visualizing and Measuring the Geometry of BERT | 2019 | 105 |
| 8 | The Bayesian Case Model: A Generative Approach for Case-Based Reasoning and Prototype Classification | 2014 | 90 |
| 9 | 2019 | 82 | |
| 10 | 2022 | 63 | |
| 11 | Mind the Gap: a generative approach to interpretable feature selection and extraction | 2015 | 59 |
| 12 | 2024 | 55 | |
| 13 | 2021 | 29 | |
| 14 | iBCM: Interactive Bayesian Case Model Empowering Humans via Intuitive Interaction | 2015 | 20 |
| 15 | 2023 | 20 | |
| 16 | Do Neural Networks Show Gestalt Phenomena? An Exploration of the Law of Closure. | 2019 | 18 |
| 17 | TCAV: Relative concept importance testing with Linear Concept Activation Vectors | 2017 | 16 |
| 18 | 2021 | 15 | |
| 19 | 2023 | 13 | |
| 20 | 2013 | 12 |
About Been Kim
Been Kim is a scholar working on Artificial Intelligence, Cognitive Neuroscience, Computer Vision and Pattern Recognition, Language and Linguistics and Health Informatics, having authored 35 papers that have together received 2.2k indexed citations. Recurring topics across this work include Explainable Artificial Intelligence (XAI) (17 papers), Topic Modeling (3 papers), Data Visualization and Analytics (3 papers), AI-based Problem Solving and Planning (3 papers), Language, Discourse, Communication Strategies (2 papers), Social Robot Interaction and HRI (2 papers), Visual perception and processing mechanisms (2 papers) and Artificial Intelligence in Games (2 papers). The work is most often cited by research in Health Informatics (107 citations), Artificial Intelligence (1.4k citations), Computer Vision and Pattern Recognition (202 citations), Human-Computer Interaction (53 citations) and Safety Research (75 citations). Been Kim has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Oluwasanmi Koyejo, Rajiv Khanna, Finale Doshi‐Velez, Julie Shah, MARTIN P. WATTENBERG, Emily Reif, Fernanda Viégas, Julius Adebayo, Sven Dähne and Kristof T. Schütt. Their work appears in journals such as Proceedings of the National Academy of Sciences, AI Magazine, Computational Brain & Behavior, Journal of Artificial Intelligence Research and Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.