David S. Cameron

79 papers receiving 2.2k citations

Peers

David S. Cameron
Comparison fields: 5 of 167
  • Water Science and Technology 487
  • Hardware and Architecture 208
  • Applied Psychology 120
  • Global and Planetary Change 544
  • Social Psychology 339
Replace Eemil Lagerspetz with:
Eemil Lagerspetz Finland
Hassan A. Karimi United States
Graham S. Clarke United Kingdom
Kapil Sharma India
Ang Leo Li China
Niels Landwehr Germany
Anastasios Karakostas Greece
András Vargha Hungary
Malka N. Halgamuge Australia
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Citations per field
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Eemil Lagerspetz · 1×
Citations per year

Countries citing papers authored by David S. Cameron

Since Specialization
Citations

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

Fields of papers citing papers by David S. Cameron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David S. Cameron. 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 David S. Cameron. The network helps show where David S. Cameron may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998230
2 1999167
3 2003149
4 2000111
5 2017105
6 2006101
7 202078
8 200677
9 200271
10 202161
11 200358
12 200056
13 200056
14 201553
15 199050
16 200747
17 200046
18 200445
19 200544
20 201741

About David S. Cameron

David S. Cameron is a scholar working on Social Psychology, Water Science and Technology, Hardware and Architecture, Computer Networks and Communications and Safety Research, having authored 83 papers that have together received 2.4k indexed citations. Recurring topics across this work include Social Robot Interaction and HRI (18 papers), Hydrology and Drought Analysis (10 papers), Hydrology and Watershed Management Studies (10 papers), AI in Service Interactions (10 papers), Distributed and Parallel Computing Systems (9 papers), Flood Risk Assessment and Management (8 papers), Parallel Computing and Optimization Techniques (7 papers) and Ethics and Social Impacts of AI (7 papers). The work is most often cited by research in Water Science and Technology (487 citations), Hardware and Architecture (208 citations), Applied Psychology (120 citations), Global and Planetary Change (544 citations) and Social Psychology (339 citations). David S. Cameron has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Keith John Beven, Pam S. Naden, Jonathan A. Tawn, Paschal Sheeran, Sarka D. Blazkova, James Law, Abigail Millings, Emily C. Collins, Steve S. Helle and Sheldon J.B. Duff. Their work appears in journals such as Journal of Hydrology, Hydrological Processes, Alimentary Pharmacology & Therapeutics, Hydrology and earth system sciences and Experimental Brain Research.

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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