Stephen Ranshous

16 total papers · 857 total citations
8 papers, 426 citations indexed

About

Stephen Ranshous is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Computer Networks and Communications. According to data from OpenAlex, Stephen Ranshous has authored 8 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Statistical and Nonlinear Physics and 2 papers in Computer Networks and Communications. Recurrent topics in Stephen Ranshous's work include Complex Network Analysis Techniques (3 papers), Advanced Graph Neural Networks (2 papers) and Anomaly Detection Techniques and Applications (2 papers). Stephen Ranshous is often cited by papers focused on Complex Network Analysis Techniques (3 papers), Advanced Graph Neural Networks (2 papers) and Anomaly Detection Techniques and Applications (2 papers). Stephen Ranshous collaborates with scholars based in United States. Stephen Ranshous's co-authors include Nagiza F. Samatova, Steve Harenberg, Danai Koutra, Christos Faloutsos, Shitian Shen, Kshitij Sharma, Svitlana Volkova, Lawrence Phillips, Jack M. Guralnik and Nancy W. Glynn and has published in prestigious journals such as Physiological Measurement and Wiley Interdisciplinary Reviews Computational Statistics.

In The Last Decade

Stephen Ranshous

8 papers receiving 412 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Stephen Ranshous	247	244	171	43	37	8	426
Steve Harenberg	247 1.0×	249 1.0×	183 1.1×	38 0.9×	41 1.1×	12	431
Dónal Doyle	274 1.1×	169 0.7×	94 0.5×	54 1.3×	46 1.2×	9	420
Thomas Schank	203 0.8×	142 0.6×	138 0.8×	99 2.3×	61 1.6×	9	486
Zhizhi Yu	246 1.0×	322 1.3×	76 0.4×	56 1.3×	76 2.1×	20	448
Huiming Qu	138 0.6×	175 0.7×	194 1.1×	55 1.3×	141 3.8×	14	387
Hassan Sayyadi	221 0.9×	258 1.1×	44 0.3×	27 0.6×	182 4.9×	14	393
Karl Jiang	163 0.7×	222 0.9×	127 0.7×	158 3.7×	66 1.8×	10	486
Benedek Rózemberczki	157 0.6×	223 0.9×	32 0.2×	53 1.2×	43 1.2×	9	417
Giang Nguyen	201 0.8×	326 1.3×	51 0.3×	49 1.1×	78 2.1×	7	404
Abhishek Mallik	147 0.6×	214 0.9×	59 0.3×	46 1.1×	96 2.6×	19	450

Countries citing papers authored by Stephen Ranshous

Since Specialization

Citations

This map shows the geographic impact of Stephen Ranshous'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 Stephen Ranshous with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Ranshous more than expected).

Fields of papers citing papers by Stephen Ranshous

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen Ranshous. 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 Stephen Ranshous. The network helps show where Stephen Ranshous may publish in the future.

Co-authorship network of co-authors of Stephen Ranshous

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen Ranshous. A scholar is included among the top collaborators of Stephen Ranshous 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 Stephen Ranshous. Stephen Ranshous is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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