Adish Kumar Singla

68 papers receiving 1.4k citations

Peers

Adish Kumar Singla
Comparison fields: 5 of 93
  • Computer Science Applications 404
  • Health Informatics 45
  • Transportation 191
  • Management Science and Operations Research 296
  • Artificial Intelligence 581
Replace Yashar Deldjoo with:
Yashar Deldjoo Italy
Yücel Saygın Türkiye
Zhixu Li China
Yingqiang Ge United States
Weizhi Ma China
Kate S. Larson Canada
Cheng-Te Li Taiwan
Lirong Xia United States
Toshihiro Kamishima Japan
Dianshuang Wu Australia
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Citations per field
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Citations per year

Countries citing papers authored by Adish Kumar Singla

Since Specialization
Citations

This map shows the geographic impact of Adish Kumar 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 Kumar 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 Kumar Singla more than expected).

Fields of papers citing papers by Adish Kumar Singla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Adish Kumar 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 Kumar Singla. The network helps show where Adish Kumar Singla may publish in the future.

Co-authors

The 25 scholars most cited alongside Adish Kumar Singla, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Adish Kumar Singla Line = papers co-authored together Adish Kumar Singla links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013213
2 2018180
3 2015179
4 2018149
5 202374
6 201451
7 201445
8 201044
9 201442
10 202434
11 201731
12 201330
13 201626
14 201818
15
Interactive Teaching Algorithms for Inverse Reinforcement Learning
201916
16 202316
17 201414
18 201414
19 201212
20 200910

About Adish Kumar Singla

Adish Kumar Singla is a scholar working on Computer Science Applications, Artificial Intelligence, Management Science and Operations Research, Software and Information Systems, having authored 79 papers that have together received 1.4k indexed citations. Recurring topics across this work include Mobile Crowdsensing and Crowdsourcing (15 papers), Teaching and Learning Programming (13 papers), Reinforcement Learning in Robotics (11 papers), Auction Theory and Applications (11 papers), Advanced Bandit Algorithms Research (9 papers), Machine Learning and Algorithms (7 papers), Online Learning and Analytics (6 papers) and Information Retrieval and Search Behavior (6 papers). The work is most often cited by research in Computer Science Applications (404 citations), Health Informatics (45 citations), Transportation (191 citations), Management Science and Operations Research (296 citations) and Artificial Intelligence (581 citations). Adish Kumar Singla has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Andreas Krause, Sebastian Tschiatschek, Manuel Gomez-Rodriguez, Afshin Nikzad, Gagan Goel, Gábor Bartók, Ryen W. White, Krishna P. Gummadi, Muhammad Bilal Zafar and Nina Grgić-Hlača. Their work appears in journals such as Journal of Imaging Science and Technology, IEEE Transactions on Knowledge and Data Engineering, ACM Transactions on the Web, Management Science and ACM Transactions on Software Engineering and Methodology.

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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