Greg Ver Steeg
Impact in
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- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Artificial Intelligence top 5%
- Advanced Graph Neural Networks
- Quantum Information and Cryptography
Papers in
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- Topic Modeling 10
- Neural Networks and Applications 5
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- Complex Network Analysis Techniques 19
- Opinion Dynamics and Social Influence 14
- Co-authors
- Aram Galstyan (44 shared papers)Nicolas C. Menicucci (1 shared paper)Dong Guo (2 shared papers)Junming Yin (2 shared papers)Linhong Zhu (2 shared papers)Kristina Lerman (3 shared papers)Vasanthan Raghavan (2 shared papers)Alexander G. Tartakovsky (2 shared papers)
- Journals
- IEEE Transactions on Computational Social Systems (2 papers)Neurocomputing (1 paper)Europhysics Letters (EPL) (1 paper)PLoS ONE (1 paper)New Journal of Physics (1 paper)
- Partner nations
- United StatesArmeniaSpain
In The Last Decade
Greg Ver Steeg
64 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 123
- Statistical and Nonlinear Physics 433
- Artificial Intelligence 471
- Transportation 73
- Computational Mathematics 6
- Atomic and Molecular Physics, and Optics 194
Countries citing papers authored by Greg Ver Steeg
This map shows the geographic impact of Greg Ver Steeg'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 Greg Ver Steeg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Greg Ver Steeg more than expected).
Fields of papers citing papers by Greg Ver Steeg
This network shows the impact of papers produced by Greg Ver Steeg. 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 Greg Ver Steeg. The network helps show where Greg Ver Steeg may publish in the future.
Co-authors
The 25 scholars most cited alongside Greg Ver Steeg, 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 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 171 | |
| 2 | 2009 | 166 | |
| 3 | 2012 | 131 | |
| 4 | 2024 | 48 | |
| 5 | 2021 | 47 | |
| 6 | 2014 | 44 | |
| 7 | 2013 | 42 | |
| 8 | 2014 | 39 | |
| 9 | 2011 | 37 | |
| 10 | 2014 | 36 | |
| 11 | Invariant Representations without Adversarial Training | 2018 | 22 |
| 12 | 2018 | 21 | |
| 13 | 2013 | 17 | |
| 14 | 2022 | 16 | |
| 15 | 2009 | 16 | |
| 16 | Auto-Encoding Total Correlation Explanation | 2019 | 16 |
| 17 | 2014 | 15 | |
| 18 | 2011 | 15 | |
| 19 | 2017 | 15 | |
| 20 | 2024 | 14 |
About Greg Ver Steeg
Greg Ver Steeg is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Computer Vision and Pattern Recognition, Molecular Biology and Sociology and Political Science, having authored 77 papers that have together received 1.1k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (19 papers), Opinion Dynamics and Social Influence (14 papers), Topic Modeling (10 papers), Misinformation and Its Impacts (7 papers), Advanced Neuroimaging Techniques and Applications (6 papers), Functional Brain Connectivity Studies (6 papers), Human Mobility and Location-Based Analysis (6 papers) and Neural Networks and Applications (5 papers). The work is most often cited by research in Statistical and Nonlinear Physics (433 citations), Artificial Intelligence (471 citations), Transportation (73 citations), Computational Mathematics (6 citations) and Atomic and Molecular Physics, and Optics (194 citations). Greg Ver Steeg has collaborated with scholars based in United States, Armenia and Spain. Frequent co-authors include Aram Galstyan, Nicolas C. Menicucci, Dong Guo, Junming Yin, Linhong Zhu, Kristina Lerman, Vasanthan Raghavan, Alexander G. Tartakovsky, Rumi Ghosh and Xinru Qiu. Their work appears in journals such as IEEE Transactions on Computational Social Systems, Neurocomputing, Europhysics Letters (EPL), PLoS ONE and New Journal of Physics.
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.