Mark Meiss

1.6k total citations
10 papers, 275 citations indexed

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 10 papers receiving a total of 275 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Statistical and Nonlinear Physics, 7 papers in Computer Networks and Communications and 5 papers in Information Systems. Recurrent topics in Mark Meiss's work include Complex Network Analysis Techniques (8 papers), Peer-to-Peer Network Technologies (4 papers) and Web Data Mining and Analysis (3 papers). Mark Meiss is often cited by papers focused on Complex Network Analysis Techniques (8 papers), Peer-to-Peer Network Technologies (4 papers) and Web Data Mining and Analysis (3 papers). Mark Meiss collaborates with scholars based in United States and Italy. Mark Meiss's co-authors include Filippo Menczer, Alessandro Flammini, Alessandro Vespignani, Bruno Gonçalves, Katy Börner, Weimao Ke, Michael Conover, A. Ratkiewicz, Santo Fortunato 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

Mark Meiss

10 papers receiving 253 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Mark Meiss United States	8	105	102	77	74	64	10	275
Xuning Tang United States	11	103 1.0×	117 1.1×	41 0.5×	114 1.5×	123 1.9×	31	327
Rachel Cummings United States	9	68 0.6×	222 2.2×	62 0.8×	79 1.1×	175 2.7×	30	442
Hassan Sayyadi United States	5	182 1.7×	222 2.2×	44 0.6×	18 0.2×	258 4.0×	14	394
Mario Cataldi Italy	9	201 1.9×	249 2.4×	53 0.7×	75 1.0×	245 3.8×	19	473
Anmol Bhasin United States	6	112 1.1×	33 0.3×	33 0.4×	20 0.3×	89 1.4×	17	270
René Pfitzner Switzerland	6	32 0.3×	274 2.7×	58 0.8×	50 0.7×	44 0.7×	6	395
Mansoureh Takaffoli Canada	10	53 0.5×	213 2.1×	80 1.0×	51 0.7×	86 1.3×	15	339
Ida Mele Italy	10	85 0.8×	34 0.3×	31 0.4×	48 0.6×	132 2.1×	30	252
Peng Bao China	7	43 0.4×	152 1.5×	26 0.3×	50 0.7×	75 1.2×	10	220
Raquel Martínez Spain	8	96 0.9×	72 0.7×	18 0.2×	51 0.7×	145 2.3×	16	250

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).

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.

Co-authorship network of co-authors of Mark Meiss

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Meiss. A scholar is included among the top collaborators of Mark Meiss based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mark Meiss. Mark Meiss is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

1.

Ratkiewicz, A., Michael Conover, Mark Meiss, et al.. (2021). Detecting and Tracking Political Abuse in Social Media. Proceedings of the International AAAI Conference on Web and Social Media. 5(1). 297–304. 88 indexed citations

2.

Meiss, Mark, Filippo Menczer, & Alessandro Vespignani. (2011). Properties and Evolution of Internet Traffic Networks from Anonymized Flow Data. ACM Transactions on Internet Technology. 10(4). 1–23. 6 indexed citations

3.

Meiss, Mark, Bruno Gonçalves, José J. Ramasco, Alessandro Flammini, & Filippo Menczer. (2010). Agents, bookmarks and clicks: a topical model of web navigation. 229–234. 8 indexed citations

4.

Meiss, Mark, et al.. (2010). What's in a Session: Tracking Individual Behavior on the Web. arXiv (Cornell University). 19 indexed citations

5.

Gonçalves, Bruno, Mark Meiss, José J. Ramasco, Alessandro Flammini, & Filippo Menczer. (2009). Remembering what we like: Toward an agent-based model of Web traffic.. arXiv (Cornell University). 4 indexed citations

6.

Meiss, Mark, Filippo Menczer, & Alessandro Vespignani. (2008). Structural analysis of behavioral networks from the Internet. Journal of Physics A Mathematical and Theoretical. 41(22). 224022–224022. 17 indexed citations

7.

Meiss, Mark, Filippo Menczer, Santo Fortunato, Alessandro Flammini, & Alessandro Vespignani. (2008). Ranking web sites with real user traffic. 65–65. 49 indexed citations

8.

Börner, Katy, et al.. (2006). Mapping the diffusion of scholarly knowledge among major U.S. research institutions. Scientometrics. 68(3). 415–426. 58 indexed citations

9.

Meiss, Mark, Filippo Menczer, & Alessandro Vespignani. (2005). On the lack of typical behavior in the global Web traffic network. 510–510. 19 indexed citations

10.

Börner, Katy, et al.. (2005). Mapping the Diffusion of Information Among Major U.S. Research Institutions. 7 indexed citations

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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