Mark Meiss
Impact in
- Communication top 5%
- Social Media and Politics
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- Complex Network Analysis Techniques
Papers in
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- Complex Network Analysis Techniques 3
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- Information Retrieval and Search Behavior 4
- Web Data Mining and Analysis 3
- Co-authors
- Filippo Menczer (9 shared papers)Bruno Gonçalves (5 shared papers)Alessandro Flammini (4 shared papers)Michael Conover (2 shared papers)Weimao Ke (2 shared papers)Katy Börner (2 shared papers)Alessandro Vespignani (3 shared papers)José J. Ramasco (3 shared papers)
- Journals
- First Monday (1 paper)ACM Transactions on Internet Technology (1 paper)Journal of Physics A Mathematical and Theoretical (1 paper)PeerJ Computer Science (1 paper)Scientometrics (1 paper)
- Partner nations
- United StatesItaly
In The Last Decade
Mark Meiss
12 papers receiving 643 citations
Mark Meiss's Hit Papers
Peers
Comparison fields: 5 of 53
- Communication 107
- Statistical and Nonlinear Physics 92
- Statistics, Probability and Uncertainty 63
- Sociology and Political Science 299
- Information Systems 143
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 8 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 | Truthy Hit paper breakdown → | 2011 | 399 |
| 2 | 2021 | 112 | |
| 3 | 2006 | 64 | |
| 4 | 2016 | 38 | |
| 5 | 2009 | 20 | |
| 6 | 2005 | 18 | |
| 7 | 2008 | 17 | |
| 8 | 2011 | 8 | |
| 9 | Mapping the Diffusion of Information Among Major U.S. Research Institutions | 2005 | 7 |
| 10 | 2010 | 7 | |
| 11 | 2010 | 5 | |
| 12 | 2008 | 1 |
About Mark Meiss
Mark Meiss is a scholar working on Statistical and Nonlinear Physics, Information Systems, Statistics, Probability and Uncertainty, Artificial Intelligence and General Social Sciences, having authored 12 papers that have together received 696 indexed citations. Recurring topics across this work include Information Retrieval and Search Behavior (4 papers), Internet Traffic Analysis and Secure E-voting (3 papers), Complex Network Analysis Techniques (3 papers), Web Data Mining and Analysis (3 papers), Misinformation and Its Impacts (2 papers), scientometrics and bibliometrics research (2 papers), Computational and Text Analysis Methods (1 paper) and Network Traffic and Congestion Control (1 paper). The work is most often cited by research in Communication (107 citations), Statistical and Nonlinear Physics (92 citations), Statistics, Probability and Uncertainty (63 citations), Sociology and Political Science (299 citations) and Information Systems (143 citations). Mark Meiss has collaborated with scholars based in United States and Italy. Frequent co-authors include Filippo Menczer, Bruno Gonçalves, Alessandro Flammini, Michael Conover, Weimao Ke, Katy Börner, Alessandro Vespignani and José J. Ramasco. Their work appears in journals such as First Monday, ACM Transactions on Internet Technology, Journal of Physics A Mathematical and Theoretical, PeerJ Computer Science and Scientometrics.
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.