Chris Brown

1.2k citations
58 papers · 749 indexed · h-index 14

Impact in

Papers in

Chris Brown

47 papers receiving 679 citations

Peers

Chris Brown
Comparison fields: 5 of 100
  • Human-Computer Interaction 245
  • Computer Vision and Pattern Recognition 294
  • Computer Science Applications 67
  • Health Informatics 13
  • Software 29
Replace Ronald Metoyer with:
Ronald Metoyer United States
William van Melle United States
Joyce Chai United States
Ranjitha Kumar United States
Vincent Tam Hong Kong
Kajal Claypool United States
Krzysztof Walczak Poland
Florian Echtler Germany
Katashi Nagao Japan
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Citations per field
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Citations per year

Countries citing papers authored by Chris Brown

Since Specialization
Citations

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

Fields of papers citing papers by Chris Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20251
4 20251
5 20243
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7 20248
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12 20234
13 20206
14 20190
15 20195
16
Quagents: a game platform for intelligent agents
20050
17
Tracking WWW Users: Experience from the Design of HyperVis.
19967
18 199513
19 198918
20 198710

About Chris Brown

Chris Brown is a scholar working on Software, Computer Science Applications, Information Systems, Health Informatics and Human-Computer Interaction, having authored 58 papers that have together received 749 indexed citations. Recurring topics across this work include Software Engineering Research (14 papers), Software Engineering Techniques and Practices (8 papers), AI in Service Interactions (5 papers), Software Testing and Debugging Techniques (5 papers), Open Source Software Innovations (5 papers), Ethics and Social Impacts of AI (3 papers), Reinforcement Learning in Robotics (3 papers) and Augmented Reality Applications (3 papers). The work is most often cited by research in Human-Computer Interaction (245 citations), Computer Vision and Pattern Recognition (294 citations), Computer Science Applications (67 citations), Health Informatics (13 citations) and Software (29 citations). Chris Brown has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Steve Benford, Chris Greenhalgh, Gail Reynard, Boriana Koleva, Chris Parnin, Dave Snowdon, Rob Ingram, John Aloimonos, Z. Papp and Christine Bartels. Their work appears in journals such as Computer Graphics Forum, ACM Transactions on Software Engineering and Methodology, Journal of Applied Physics, Physical Review Materials and Empirical Software Engineering.

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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