Robert Gove

22 papers receiving 286 citations

Peers

Robert Gove
Comparison fields: 5 of 72
  • Computer Vision and Pattern Recognition 132
  • Signal Processing 47
  • Software 15
  • Statistical and Nonlinear Physics 43
  • Artificial Intelligence 88
Replace William H. Hsu with:
William H. Hsu United States
Ananth Kalyanaraman United States
Ioannis Karydis Greece
Nathaniel Dean United States
Solon P. Pissis United Kingdom
Kaixiong Zhou United States
Ronald I. Greenberg United States
Kevin McDonald United Kingdom
Bruno Pinaud France
M. Punithavalli India
Robert Gove relative to William H. Hsu United States William H. Hsu's profile →
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Citations per year

Countries citing papers authored by Robert Gove

Since Specialization
Citations

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

Fields of papers citing papers by Robert Gove

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Robert Gove, 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 Robert Gove Line = papers co-authored together Robert Gove links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201263
2 202231
3 200925
4 201125
5 200920
6 199418
7 201417
8 201115
9 201912
10 199911
11 201810
12 201110
13 201410
14 20219
15 20197
16 20167
17 19996
18 20195
19 20115
20 20214

About Robert Gove

Robert Gove is a scholar working on Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics, Artificial Intelligence, Computer Networks and Communications and Signal Processing, having authored 22 papers that have together received 312 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (10 papers), Data Visualization and Analytics (9 papers), Advanced Text Analysis Techniques (5 papers), Network Security and Intrusion Detection (3 papers), Plant and animal studies (3 papers), Advanced Malware Detection Techniques (3 papers), Video Coding and Compression Technologies (2 papers) and Embedded Systems Design Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (132 citations), Signal Processing (47 citations), Software (15 citations), Statistical and Nonlinear Physics (43 citations) and Artificial Intelligence (88 citations). Robert Gove has collaborated with scholars based in United States, Switzerland and Israel. Frequent co-authors include Cody Dunne, Ben Shneiderman, Judith L. Klavans, Bonnie J. Dorr, Olav Rueppell, Joshua Saxe, Nicholas Leiby, Keiji Kojima, Chris Basoglu and Alex Long. Their work appears in journals such as International Journal of Imaging Systems and Technology, Ethology, IEEE Transactions on Visualization and Computer Graphics, Journal of Systems Architecture and IEEE Transactions on Consumer Electronics.

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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