Marko A. Rodriguez

1.4k citations
29 papers · 644 · h-index 12

Impact in

Papers in

Marko A. Rodriguez

28 papers receiving 576 citations

Peers

Marko A. Rodriguez
Comparison fields: 5 of 117
  • Statistics, Probability and Uncertainty 160
  • Statistical and Nonlinear Physics 176
  • Information Systems and Management 67
  • Information Systems 204
  • Computer Science Applications 35
Replace Bo-June Hsu with:
Bo-June Hsu United States
Shuo Yu China
Xiaolin Shi United States
Jean Tague‐Sutcliffe Canada
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Elisabeth Lex Austria
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Teshome Megersa Bekele China
Xia Lin United States
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Citations per field
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Citations per year

Countries citing papers authored by Marko A. Rodriguez

Since Specialization
Citations

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

Fields of papers citing papers by Marko A. Rodriguez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marko A. Rodriguez. 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 Marko A. Rodriguez. The network helps show where Marko A. Rodriguez may publish in the future.

Co-authors

The 17 scholars most cited alongside Marko A. Rodriguez, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Marko A. Rodriguez Line = papers co-authored together Marko A. Rodriguez links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009133
2 2010103
3 200856
4 200953
5 200752
6 200735
7 200934
8 200833
9 200631
10 200927
11 200718
12 200812
13 20119
14 20106
15 20206
16
A Methodology for Studying Various Interpretations of the N,N-dimethyltryptamine-Induced Alternate Reality
20065
17 20075
18 20085
19 20094
20 20064

About Marko A. Rodriguez

Marko A. Rodriguez is a scholar working on Artificial Intelligence, Information Systems, Statistical and Nonlinear Physics, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 29 papers that have together received 644 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (9 papers), Semantic Web and Ontologies (8 papers), Opinion Dynamics and Social Influence (6 papers), Web Data Mining and Analysis (5 papers), Data Visualization and Analytics (4 papers), Advanced Database Systems and Queries (4 papers), Advanced Graph Neural Networks (3 papers) and Scientific Computing and Data Management (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (160 citations), Statistical and Nonlinear Physics (176 citations), Information Systems and Management (67 citations), Information Systems (204 citations) and Computer Science Applications (35 citations). Marko A. Rodriguez has collaborated with scholars based in United States, Belgium and Germany. Frequent co-authors include Herbert Van de Sompel, Johan Bollen, Peter Neubauer, Alberto Pepe, Joshua Shinavier, Aric Hagberg, Lyudmila Balakireva, Luís M. A. Bettencourt, Ryan Chute and Robert P. Dellavalle. Their work appears in journals such as Knowledge-Based Systems, First Monday, Journal of Informetrics, Artificial Life and Journal of the American Academy of Dermatology.

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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