Adish Singla

2.6k total citations
64 papers, 972 citations indexed

About

Adish Singla is a scholar working on Artificial Intelligence, Computer Science Applications and Management Science and Operations Research. According to data from OpenAlex, Adish Singla has authored 64 papers receiving a total of 972 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 24 papers in Computer Science Applications and 15 papers in Management Science and Operations Research. Recurrent topics in Adish Singla's work include Mobile Crowdsensing and Crowdsourcing (17 papers), Reinforcement Learning in Robotics (11 papers) and Machine Learning and Algorithms (8 papers). Adish Singla is often cited by papers focused on Mobile Crowdsensing and Crowdsourcing (17 papers), Reinforcement Learning in Robotics (11 papers) and Machine Learning and Algorithms (8 papers). Adish Singla collaborates with scholars based in Germany, Switzerland and United States. Adish Singla's co-authors include Andreas Krause, Sebastian Tschiatschek, Manuel Gomez-Rodriguez, Gábor Bartók, Ryen W. White, Gagan Goel, Afshin Nikzad, Jeff Huang, Andreas Krause and Amin Karbasi and has published in prestigious journals such as Management Science, ACM Transactions on the Web and Journal of Imaging Science and Technology.

In The Last Decade

Adish Singla

57 papers receiving 938 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Adish Singla Germany 13 400 311 233 226 185 64 972
Jieying She Hong Kong 13 316 0.8× 516 1.7× 180 0.8× 227 1.0× 33 0.2× 15 890
Yudian Zheng China 17 874 2.2× 839 2.7× 285 1.2× 368 1.6× 47 0.3× 29 1.4k
Zhixu Li China 22 1.1k 2.9× 144 0.5× 812 3.5× 189 0.8× 99 0.5× 132 1.9k
Shengling Wang China 18 536 1.3× 151 0.5× 519 2.2× 88 0.4× 129 0.7× 95 1.3k
Eva Onaindía Spain 15 432 1.1× 57 0.2× 310 1.3× 65 0.3× 171 0.9× 91 909
Nadav Golbandi Israel 12 319 0.8× 66 0.2× 479 2.1× 157 0.7× 77 0.4× 14 829
Alper Bilge Türkiye 17 573 1.4× 61 0.2× 885 3.8× 163 0.7× 162 0.9× 44 1.1k
Jiuchuan Jiang China 14 188 0.5× 169 0.5× 109 0.5× 115 0.5× 88 0.5× 54 806
Lucas Drumond Germany 13 534 1.3× 212 0.7× 593 2.5× 149 0.7× 23 0.1× 32 914
Mihajlo Grbovic United States 14 637 1.6× 34 0.1× 394 1.7× 55 0.2× 124 0.7× 38 1.1k

Countries citing papers authored by Adish Singla

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Adish Singla

This figure shows the co-authorship network connecting the top 25 collaborators of Adish Singla. A scholar is included among the top collaborators of Adish Singla based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Adish Singla. Adish Singla is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Denny, Paul, et al.. (2025). BugSpotter: Automated Generation of Code Debugging Exercises. 896–902. 2 indexed citations
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Sahu, P. K., et al.. (2024). Enhancing Industrial IoT Intrusion Detection with Hyperparameter Optimization. 1–6. 2 indexed citations
7.
Cambronero, José, Sumit Gulwani, Tobias Kohn, et al.. (2023). Generative AI for Programming Education: Benchmarking ChatGPT, GPT-4, and Human Tutors. 41–42. 45 indexed citations
8.
Singla, Adish. (2023). Evaluating ChatGPT and GPT-4 for Visual Programming. 14–15. 14 indexed citations
9.
Christakis, Maria, et al.. (2023). Specifying and Testing k-Safety Properties for Machine-Learning Models. 4748–4757. 4 indexed citations
10.
Radanović, Goran, et al.. (2021). Explicable Reward Design for Reinforcement Learning Agents. Neural Information Processing Systems. 34. 10 indexed citations
11.
Kumar, Akash, Hanqi Zhang, Adish Singla, & Yuxin Chen. (2021). The Teaching Dimension of Kernel Perceptron.. arXiv (Cornell University). 2071–2079. 1 indexed citations
12.
Zhang, Xuezhou, Yuzhe Ma, & Adish Singla. (2020). Task-agnostic Exploration in Reinforcement Learning. neural information processing systems. 33. 11734–11743. 1 indexed citations
13.
Singla, Adish, et al.. (2020). Zero-shot Learning of Hint Policy via Reinforcement Learning and Program Synthesis. Educational Data Mining. 388–394. 5 indexed citations
14.
Zhang, Xuezhou, et al.. (2020). The Teaching Dimension of Q-learning. arXiv (Cornell University). 3 indexed citations
15.
Tschiatschek, Sebastian, et al.. (2020). Towards Deployment of Robust Cooperative AI Agents: An Algorithmic Framework for Learning Adaptive Policies. 447–455. 4 indexed citations
16.
Kamalaruban, Parameswaran, et al.. (2019). Interactive Teaching Algorithms for Inverse Reinforcement Learning. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 13 indexed citations
17.
Tschiatschek, Sebastian, et al.. (2019). Learner-aware Teaching: Inverse Reinforcement Learning with Preferences and Constraints. MPG.PuRe (Max Planck Society). 32. 4145–4155. 7 indexed citations
18.
Valera, Isabel, Adish Singla, & Manuel Gomez-Rodriguez. (2018). Enhancing the Accuracy and Fairness of Human Decision Making. arXiv (Cornell University). 31. 1769–1778. 7 indexed citations
19.
Singla, Adish, Ilija Bogunovic, Gábor Bartók, Amin Karbasi, & Andreas Krause. (2013). On Actively Teaching the Crowd to Classify. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 5 indexed citations
20.
Hersch, Roger D. & Adish Singla. (2006). An Ink Spreading Model for Dot-On-Dot Spectral Prediction. Color and Imaging Conference. 14(1). 38–43. 2 indexed citations

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.

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