Mark Meiss
Impact in
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- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
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- Social Media and Politics
Papers in
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- Complex Network Analysis Techniques 8
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- Peer-to-Peer Network Technologies 4
- Caching and Content Delivery 3
- Network Traffic and Congestion Control 2
- Co-authors
- Filippo Menczer (8 shared papers)Alessandro Flammini (4 shared papers)Alessandro Vespignani (4 shared papers)Bruno Gonçalves (4 shared papers)Katy Börner (2 shared papers)Weimao Ke (2 shared papers)A. Ratkiewicz (1 shared paper)Michael Conover (1 shared paper)
- Journals
- Journal of Physics A Mathematical and Theoretical (1 paper)Scientometrics (1 paper)ACM Transactions on Internet Technology (1 paper)Proceedings of the International AAAI Conference on Web and Social Media (1 paper)arXiv (Cornell University) (2 papers)
- Partner nations
- United StatesItaly
In The Last Decade
Mark Meiss
10 papers receiving 257 citations
Peers
Comparison fields: 5 of 54
- Statistical and Nonlinear Physics 103
- Communication 35
- Information Systems 108
- Statistics, Probability and Uncertainty 32
- Computer Networks and Communications 76
Countries citing papers authored by Mark Meiss
This map shows the geographic impact of Mark Meiss'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 Mark Meiss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Meiss more than expected).
Fields of papers citing papers by Mark Meiss
This network shows the impact of papers produced by Mark Meiss. 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 Mark Meiss. The network helps show where Mark Meiss may publish in the future.
Co-authors
The 10 scholars most cited alongside Mark Meiss, 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 | 2021 | 90 | |
| 2 | 2006 | 59 | |
| 3 | 2008 | 48 | |
| 4 | 2005 | 19 | |
| 5 | 2010 | 19 | |
| 6 | 2008 | 17 | |
| 7 | Agents, bookmarks and clicks: a topical model of web navigation | 2010 | 8 |
| 8 | Mapping the Diffusion of Information Among Major U.S. Research Institutions | 2005 | 8 |
| 9 | 2011 | 6 | |
| 10 | Remembering what we like: Toward an agent-based model of Web traffic. | 2009 | 4 |
About Mark Meiss
Mark Meiss is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Information Systems, Statistics, Probability and Uncertainty and Sociology and Political Science, having authored 10 papers that have together received 278 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (8 papers), Peer-to-Peer Network Technologies (4 papers), Web Data Mining and Analysis (3 papers), Caching and Content Delivery (3 papers), scientometrics and bibliometrics research (2 papers), Network Traffic and Congestion Control (2 papers), Web visibility and informetrics (2 papers) and Misinformation and Its Impacts (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (103 citations), Communication (35 citations), Information Systems (108 citations), Statistics, Probability and Uncertainty (32 citations) and Computer Networks and Communications (76 citations). Mark Meiss has collaborated with scholars based in United States and Italy. Frequent co-authors include Filippo Menczer, Alessandro Flammini, Alessandro Vespignani, Bruno Gonçalves, Katy Börner, Weimao Ke, A. Ratkiewicz, Michael Conover, Santo Fortunato and José J. Ramasco. Their work appears in journals such as Journal of Physics A Mathematical and Theoretical, Scientometrics, ACM Transactions on Internet Technology, Proceedings of the International AAAI Conference on Web and Social Media and arXiv (Cornell University).
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.