David Brown

762 citations
18 papers · 311 indexed · h-index 8

Impact in

Papers in

David Brown

18 papers receiving 288 citations

Peers

David Brown
Comparison fields: 5 of 63
  • Information Systems and Management 86
  • Astronomy and Astrophysics 124
  • Computer Networks and Communications 114
  • Hardware and Architecture 15
  • Information Systems 47
Replace L. P. Guy with:
L. P. Guy Switzerland
Ricky Egeland United States
R. C. Thomas United States
Tommy Minyard United States
E. Seidel United States
Alessandro Costantini Italy
S. Riggi Italy
Ed Seidel United States
Gerd Lanfermann Germany
James Annis United States
David Brown relative to L. P. Guy Switzerland L. P. Guy's profile →
Citations per field
00.5×1.5×
L. P. Guy · 1×
Citations per year

Countries citing papers authored by David Brown

Since Specialization
Citations

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

Fields of papers citing papers by David Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

18 of 18 papers shown
#Work
1 20241
2 20223
3 20158
4 20134
5 20127
6 20065
7 20067
8 2005111
9 20031
10
The Earth System Grid Discovery and Semantic Web Technologies
200313
11 200318
12 199874
13 19981
14
Imaging of [OII] in the Jovian Plasma Torus
19913
15 199151
16
Io's Sodium Jets
19901
17
New techniques for inducing plasma current in large tokamak devices
19782
18
The PDX island study
19771

About David Brown

David Brown is a scholar working on Information Systems and Management, Astronomy and Astrophysics, Computer Networks and Communications, Computer Science Applications and Geochemistry and Petrology, having authored 18 papers that have together received 311 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (7 papers), Scientific Computing and Data Management (6 papers), Astro and Planetary Science (5 papers), Ionosphere and magnetosphere dynamics (2 papers), Astrophysics and Star Formation Studies (2 papers), Planetary Science and Exploration (2 papers), Computational Physics and Python Applications (2 papers) and Advanced Data Storage Technologies (2 papers). The work is most often cited by research in Information Systems and Management (86 citations), Astronomy and Astrophysics (124 citations), Computer Networks and Communications (114 citations), Hardware and Architecture (15 citations) and Information Systems (47 citations). David Brown has collaborated with scholars based in United States, United Kingdom and Nigeria. Frequent co-authors include Scott J. Kenyon, Christopher A. Tout, P. Berlind, N. M. Schneider, John T. Trauger, Robin W. Evans, J. K. Wilson, D. E. Shemansky, Veronika Nefedova and Arie Shoshani. Their work appears in journals such as Computing in Science & Engineering, Science, Icarus, Proceedings of the IEEE and The Astronomical Journal.

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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