Robert Gove
Impact in
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- Data Visualization and Analytics
Papers in
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- Data Visualization and Analytics 10
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- Complex Network Analysis Techniques 10
- Co-authors
- Ben Shneiderman (3 shared papers)Cody Dunne (3 shared papers)Bonnie J. Dorr (2 shared papers)Judith L. Klavans (2 shared papers)Olav Rueppell (2 shared papers)Joshua Saxe (2 shared papers)Nicholas Leiby (1 shared paper)Chris Basoglu (2 shared papers)
- Journals
- International Journal of Imaging Systems and Technology (2 papers)Ethology (1 paper)Advances in computers (1 paper)Journal of Systems Architecture (1 paper)IEEE Transactions on Visualization and Computer Graphics (1 paper)
- Partner nations
- United StatesSwitzerlandIsrael
In The Last Decade
Robert Gove
24 papers receiving 357 citations
Peers
Comparison fields: 5 of 85
- Computer Vision and Pattern Recognition 148
- Software 24
- Signal Processing 53
- Statistical and Nonlinear Physics 46
- Artificial Intelligence 112
Countries citing papers authored by Robert Gove
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
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.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 75 | |
| 2 | 2009 | 33 | |
| 3 | 2012 | 33 | |
| 4 | 2022 | 31 | |
| 5 | 2011 | 29 | |
| 6 | 2009 | 20 | |
| 7 | 1994 | 19 | |
| 8 | 2011 | 18 | |
| 9 | 2014 | 17 | |
| 10 | 2019 | 13 | |
| 11 | 2018 | 12 | |
| 12 | 2014 | 12 | |
| 13 | 2011 | 11 | |
| 14 | 1999 | 11 | |
| 15 | 2021 | 10 | |
| 16 | 2019 | 9 | |
| 17 | 2016 | 9 | |
| 18 | 2011 | 6 | |
| 19 | 1999 | 6 | |
| 20 | 2019 | 5 |
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 24 papers that have together received 386 indexed citations. Recurring topics across this work include Data Visualization and Analytics (10 papers), Complex Network Analysis Techniques (10 papers), Advanced Text Analysis Techniques (5 papers), Software Engineering Research (3 papers), Network Security and Intrusion Detection (3 papers), Plant and animal studies (3 papers), Software Testing and Debugging Techniques (3 papers) and Advanced Malware Detection Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (148 citations), Software (24 citations), Signal Processing (53 citations), Statistical and Nonlinear Physics (46 citations) and Artificial Intelligence (112 citations). Robert Gove has collaborated with scholars based in United States, Switzerland and Israel. Frequent co-authors include Ben Shneiderman, Cody Dunne, Bonnie J. Dorr, Judith L. Klavans, Olav Rueppell, Joshua Saxe, Nicholas Leiby, Chris Basoglu, Emre Sefer and Keiji Kojima. Their work appears in journals such as International Journal of Imaging Systems and Technology, Ethology, Advances in computers, Journal of Systems Architecture and IEEE Transactions on Visualization and Computer Graphics.
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.