Peter Henderson

13.0k citations
182 papers · 5.2k · 4 hit papers · h-index 27

Impact in

Papers in

Peter Henderson

157 papers receiving 4.8k citations

Peter Henderson's Hit Papers

Deep Reinforcement Learning That Matters 2018 · 842 citations
8420+6+12Years since publication250500750

Peers

Peter Henderson
Comparison fields: 5 of 163
  • Computer Science Applications 1.1k
  • Software 303
  • Artificial Intelligence 1.9k
  • Health Informatics 52
  • Information Systems 837
Replace Gautam Biswas with:
Gautam Biswas United States
Benjamin W. Wah United States
Mehran Sahami United States
Burr Settles United States
Manuel Blum United States
Qinghua Zheng China
Stuart Russell United States
David W. Aha United States
Michael Kearns United States
Lutz Prechelt Germany
Peter Henderson relative to Gautam Biswas United States Gautam Biswas's profile →
Citations per field
00.5×3.3×
Gautam Biswas · 1×
Citations per year

Countries citing papers authored by Peter Henderson

Since Specialization
Citations

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

Fields of papers citing papers by Peter Henderson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 182 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Computational thinking
Hit paper breakdown →
2007999
2
Deep Reinforcement Learning That Matters
Hit paper breakdown →
2018842
3
An Introduction to Deep Reinforcement Learning
Hit paper breakdown →
2018840
4
An Introduction to Deep Reinforcement Learning
Hit paper breakdown →
2018345
5 1976213
6 1999139
7 2017111
8 200779
9 197773
10 201870
11
Computer Science unplugged
200869
12 202162
13 200558
14 198658
15 198257
16 200649
17 197244
18 202342
19 200338
20
Purely Functional Operating Systems
198237

About Peter Henderson

Peter Henderson is a scholar working on Artificial Intelligence, Computer Science Applications, Information Systems, Computational Theory and Mathematics and Computer Networks and Communications, having authored 182 papers that have together received 5.2k indexed citations. Recurring topics across this work include Teaching and Learning Programming (45 papers), Software Engineering Techniques and Practices (22 papers), Advanced Software Engineering Methodologies (20 papers), Software Engineering Research (19 papers), Online Learning and Analytics (15 papers), Logic, programming, and type systems (14 papers), Service-Oriented Architecture and Web Services (11 papers) and Formal Methods in Verification (9 papers). The work is most often cited by research in Computer Science Applications (1.1k citations), Software (303 citations), Artificial Intelligence (1.9k citations), Health Informatics (52 citations) and Information Systems (837 citations). Peter Henderson has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Joëlle Pineau, Riashat Islam, Thomas J. Cortina, Jeannette M. Wing, Marc G. Bellemare, Vincent François-Lavet, David Meger, Doina Precup, Philip Bachman and James H. Morris. Their work appears in journals such as Information and Software Technology, SIAM Journal on Computing, Computer, ACM Inroads and Hispanic American Historical Review.

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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