Stephen Ranshous
Impact in
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- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
Papers in
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- Advanced Graph Neural Networks 2
- Topic Modeling 2
- Anomaly Detection Techniques and Applications 2
- Data Stream Mining Techniques 1
- Advanced Text Analysis Techniques 1
- Natural Language Processing Techniques 1
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- Complex Network Analysis Techniques 3
- Co-authors
- Nagiza F. Samatova (6 shared papers)Steve Harenberg (4 shared papers)Shitian Shen (1 shared paper)Christos Faloutsos (1 shared paper)Danai Koutra (1 shared paper)Kshitij Sharma (1 shared paper)Svitlana Volkova (1 shared paper)Lawrence Phillips (1 shared paper)
- Journals
- Wiley Interdisciplinary Reviews Computational Statistics (2 papers)Physiological Measurement (1 paper)
- Partner nations
- United States
In The Last Decade
Stephen Ranshous
8 papers receiving 416 citations
Peers
Comparison fields: 5 of 76
- Statistical and Nonlinear Physics 247
- Computational Mathematics 5
- Artificial Intelligence 247
- Computer Networks and Communications 171
- Signal Processing 37
Countries citing papers authored by Stephen Ranshous
This map shows the geographic impact of Stephen Ranshous'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 Stephen Ranshous with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Ranshous more than expected).
Fields of papers citing papers by Stephen Ranshous
This network shows the impact of papers produced by Stephen Ranshous. 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 Stephen Ranshous. The network helps show where Stephen Ranshous may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen Ranshous, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 225 | |
| 2 | 2014 | 140 | |
| 3 | 2016 | 37 | |
| 4 | 2016 | 14 | |
| 5 | 2018 | 8 | |
| 6 | 2016 | 2 | |
| 7 | 2014 | 2 | |
| 8 | 2017 | 2 |
About Stephen Ranshous
Stephen Ranshous is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Computer Networks and Communications, Molecular Biology and Epidemiology, having authored 8 papers that have together received 430 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (3 papers), Advanced Graph Neural Networks (2 papers), Topic Modeling (2 papers), Anomaly Detection Techniques and Applications (2 papers), Data Stream Mining Techniques (1 paper), Advanced Text Analysis Techniques (1 paper), Balance, Gait, and Falls Prevention (1 paper) and Natural Language Processing Techniques (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (247 citations), Computational Mathematics (5 citations), Artificial Intelligence (247 citations), Computer Networks and Communications (171 citations) and Signal Processing (37 citations). Stephen Ranshous has collaborated with scholars based in United States. Frequent co-authors include Nagiza F. Samatova, Steve Harenberg, Shitian Shen, Christos Faloutsos, Danai Koutra, Kshitij Sharma, Svitlana Volkova, Lawrence Phillips, Marco Pahor and Todd M. Manini. Their work appears in journals such as Wiley Interdisciplinary Reviews Computational Statistics and Physiological Measurement.
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.