John A. Marsh
Impact in
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- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Statistical Mechanics and Entropy
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- Network Traffic and Congestion Control
- Peer-to-Peer Network Technologies
- Interconnection Networks and Systems
Papers in
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- Statistical Mechanics and Entropy 4
- Complex Network Analysis Techniques 3
- Opinion Dynamics and Social Influence 2
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- Complex Systems and Time Series Analysis 4
- Co-authors
- Kevin E. Bassler (4 shared papers)Bogdan Danila (4 shared papers)Yong Yu (3 shared papers)Constantino Tsallis (3 shared papers)Zoltán Toroczkai (1 shared paper)Yong Yu (1 shared paper)Miguel Fuentes (1 shared paper)Luis G. Moyano (1 shared paper)
- Journals
- Chaos An Interdisciplinary Journal of Nonlinear Science (1 paper)Physics Letters A (1 paper)Physica A Statistical Mechanics and its Applications (1 paper)IEEE Transactions on Information Theory (1 paper)Europhysics Letters (EPL) (1 paper)
- Partner nations
- United StatesBrazilArgentina
In The Last Decade
John A. Marsh
12 papers receiving 401 citations
Peers
Comparison fields: 5 of 63
- Statistical and Nonlinear Physics 321
- Computer Networks and Communications 212
- Geometry and Topology 49
- Transportation 20
- Modeling and Simulation 11
Countries citing papers authored by John A. Marsh
This map shows the geographic impact of John A. Marsh'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 John A. Marsh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John A. Marsh more than expected).
Fields of papers citing papers by John A. Marsh
This network shows the impact of papers produced by John A. Marsh. 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 John A. Marsh. The network helps show where John A. Marsh may publish in the future.
Co-authors
The 8 scholars most cited alongside John A. Marsh, 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 | 2006 | 176 | |
| 2 | 2007 | 83 | |
| 3 | 2007 | 63 | |
| 4 | 2006 | 44 | |
| 5 | 2007 | 18 | |
| 6 | 2006 | 15 | |
| 7 | 2009 | 10 | |
| 8 | 2005 | 8 | |
| 9 | 2006 | 3 | |
| 10 | 1998 | 2 | |
| 11 | 2012 | 1 | |
| 12 | 2006 | 1 |
About John A. Marsh
John A. Marsh is a scholar working on Statistical and Nonlinear Physics, Economics and Econometrics, Computer Networks and Communications, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 12 papers that have together received 424 indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (4 papers), Statistical Mechanics and Entropy (4 papers), Complex Network Analysis Techniques (3 papers), Advanced Steganography and Watermarking Techniques (3 papers), Digital Media Forensic Detection (3 papers), Opinion Dynamics and Social Influence (2 papers), Chaos-based Image/Signal Encryption (2 papers) and Opportunistic and Delay-Tolerant Networks (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (321 citations), Computer Networks and Communications (212 citations), Geometry and Topology (49 citations), Transportation (20 citations) and Modeling and Simulation (11 citations). John A. Marsh has collaborated with scholars based in United States, Brazil and Argentina. Frequent co-authors include Kevin E. Bassler, Bogdan Danila, Yong Yu, Constantino Tsallis, Zoltán Toroczkai, Yong Yu, Miguel Fuentes and Luis G. Moyano. Their work appears in journals such as Chaos An Interdisciplinary Journal of Nonlinear Science, Physics Letters A, Physica A Statistical Mechanics and its Applications, IEEE Transactions on Information Theory and Europhysics Letters (EPL).
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.