Satinder Singh

1.3k citations
36 papers · 682 · h-index 13

Impact in

Papers in

Satinder Singh

35 papers receiving 639 citations

Peers

Satinder Singh
Comparison fields: 5 of 100
  • Artificial Intelligence 260
  • Applied Psychology 28
  • Emergency Medicine 41
  • Experimental and Cognitive Psychology 61
  • Management Science and Operations Research 55
Replace Anthony Mark Harrison with:
Anthony Mark Harrison United States
Sandy H. Huang United States
Marzia Hoque Tania United Kingdom
Antonis S. Billis Greece
Scott L. Fleming United States
Patrick G. Kenny United States
Mahmoud Elbattah France
Peter Leijdekkers Australia
Tuka Alhanai United States
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Citations per field
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Citations per year

Countries citing papers authored by Satinder Singh

Since Specialization
Citations

This map shows the geographic impact of Satinder Singh'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 Satinder Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Satinder Singh more than expected).

Fields of papers citing papers by Satinder Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Satinder Singh. 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 Satinder Singh. The network helps show where Satinder Singh may publish in the future.

Co-authors

The 25 scholars most cited alongside Satinder Singh, 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 Satinder Singh Line = papers co-authored together Satinder Singh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014112
2 202293
3
Learning predictive state representations
200367
4 198854
5 201350
6 201535
7 201431
8 200927
9 200526
10 201224
11 200720
12 201620
13 201319
14 201312
15
Learning Graphical Game Models
200912
16 201512
17 201010
18 20129
19
Planning with Closed-Loop Macro Actions
19977
20
Enabling domain-awareness for a generic natural language interface
20076

About Satinder Singh

Satinder Singh is a scholar working on Artificial Intelligence, Management Science and Operations Research, Applied Psychology, Computer Networks and Communications and Computational Theory and Mathematics, having authored 36 papers that have together received 682 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (10 papers), Artificial Intelligence in Games (4 papers), Machine Learning and Algorithms (4 papers), Bayesian Modeling and Causal Inference (4 papers), Natural Language Processing Techniques (3 papers), Formal Methods in Verification (2 papers), Fault Detection and Control Systems (2 papers) and Topic Modeling (2 papers). The work is most often cited by research in Artificial Intelligence (260 citations), Applied Psychology (28 citations), Emergency Medicine (41 citations), Experimental and Cognitive Psychology (61 citations) and Management Science and Operations Research (55 citations). Satinder Singh has collaborated with scholars based in United States, United Kingdom and Qatar. Frequent co-authors include Zahi N. Karam, Michael L. Littman, Jonathan Sorg, Melvin G. McInnis, Emily Mower Provost, Gloria J. Harrington, David Pardoe, Peter Stone, Nicholas K. Jong and Tüomas Sandholm. Their work appears in journals such as British Journal of General Practice, International Journal of Stroke, Emergency Medicine Journal, BMJ Open and Machine Learning.

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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