Adish Singla
Impact in
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- Mobile Crowdsensing and Crowdsourcing
- Transportation top 5%
- Urban Transport and Accessibility
Papers in
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- Reinforcement Learning in Robotics 11
- Machine Learning and Algorithms 9
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- Mobile Crowdsensing and Crowdsourcing 18
- Teaching and Learning Programming 7
- Co-authors
- Andreas Krause (13 shared papers)Sebastian Tschiatschek (8 shared papers)Manuel Gomez-Rodriguez (5 shared papers)Gábor Bartók (3 shared papers)Ryen W. White (9 shared papers)Afshin Nikzad (2 shared papers)Gagan Goel (2 shared papers)Jeff Huang (1 shared paper)
- Journals
- Management Science (1 paper)Journal of Imaging Science and Technology (1 paper)ACM Transactions on the Web (1 paper)neural information processing systems (1 paper)Infoscience (Ecole Polytechnique Fédérale de Lausanne) (2 papers)
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Adish Singla
59 papers receiving 995 citations
Peers
Comparison fields: 5 of 80
- Computer Science Applications 323
- Transportation 158
- Management Science and Operations Research 247
- Health Informatics 18
- Artificial Intelligence 421
Countries citing papers authored by Adish Singla
This map shows the geographic impact of Adish Singla'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 Adish Singla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adish Singla more than expected).
Fields of papers citing papers by Adish Singla
This network shows the impact of papers produced by Adish Singla. 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 Adish Singla. The network helps show where Adish Singla may publish in the future.
Co-authors
The 25 scholars most cited alongside Adish Singla, 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 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 197 | |
| 2 | 2018 | 152 | |
| 3 | 2015 | 149 | |
| 4 | 2023 | 50 | |
| 5 | 2014 | 41 | |
| 6 | 2014 | 40 | |
| 7 | 2014 | 37 | |
| 8 | 2010 | 37 | |
| 9 | 2014 | 32 | |
| 10 | 2017 | 25 | |
| 11 | 2024 | 22 | |
| 12 | 2016 | 21 | |
| 13 | 2023 | 15 | |
| 14 | Interactive Teaching Algorithms for Inverse Reinforcement Learning | 2019 | 14 |
| 15 | 2018 | 12 | |
| 16 | 2014 | 12 | |
| 17 | 2012 | 11 | |
| 18 | Explicable Reward Design for Reinforcement Learning Agents | 2021 | 10 |
| 19 | Learner-aware Teaching: Inverse Reinforcement Learning with Preferences and Constraints | 2019 | 8 |
| 20 | 2016 | 8 |
About Adish Singla
Adish Singla is a scholar working on Artificial Intelligence, Computer Science Applications, Management Science and Operations Research, Information Systems and Sociology and Political Science, having authored 66 papers that have together received 1.0k indexed citations. Recurring topics across this work include Mobile Crowdsensing and Crowdsourcing (18 papers), Reinforcement Learning in Robotics (11 papers), Auction Theory and Applications (9 papers), Machine Learning and Algorithms (9 papers), Teaching and Learning Programming (7 papers), Advanced Bandit Algorithms Research (7 papers), Information Retrieval and Search Behavior (6 papers) and Web Data Mining and Analysis (5 papers). The work is most often cited by research in Computer Science Applications (323 citations), Transportation (158 citations), Management Science and Operations Research (247 citations), Health Informatics (18 citations) and Artificial Intelligence (421 citations). Adish Singla has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Andreas Krause, Sebastian Tschiatschek, Manuel Gomez-Rodriguez, Gábor Bartók, Ryen W. White, Afshin Nikzad, Gagan Goel, Jeff Huang, Andreas Krause and Gustavo Soares. Their work appears in journals such as Management Science, Journal of Imaging Science and Technology, ACM Transactions on the Web, neural information processing systems and Infoscience (Ecole Polytechnique Fédérale de Lausanne).
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.