Mark Meiss

6 papers and 361 indexed citations i.

About

Mark Meiss is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Mark Meiss has authored 6 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Statistical and Nonlinear Physics, 4 papers in Computer Networks and Communications and 4 papers in Information Systems. Recurrent topics in Mark Meiss’s work include Complex Network Analysis Techniques (4 papers), Web Data Mining and Analysis (2 papers) and Peer-to-Peer Network Technologies (2 papers). Mark Meiss is often cited by papers focused on Complex Network Analysis Techniques (4 papers), Web Data Mining and Analysis (2 papers) and Peer-to-Peer Network Technologies (2 papers). Mark Meiss collaborates with scholars based in United States and Italy. Mark Meiss's co-authors include Filippo Menczer, Bruno Gonçalves, Alessandro Flammini, A. Ratkiewicz, Michael Conover, Weimao Ke, Katy Börner, Alessandro Vespignani and José J. Ramasco and has published in prestigious journals such as Scientometrics, Journal of Physics A Mathematical and Theoretical and ACM Transactions on Internet Technology.

In The Last Decade

Co-authorship network of co-authors of Mark Meiss i

Fields of papers citing papers by Mark Meiss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Mark Meiss

Since Specialization
Citations

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).

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.

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