Marisa Viveros

11 total papers · 414 total citations
7 papers, 238 citations indexed

About

Marisa Viveros is a scholar working on Information Systems, Social Psychology and Information Systems and Management. According to data from OpenAlex, Marisa Viveros has authored 7 papers receiving a total of 238 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Information Systems, 2 papers in Social Psychology and 2 papers in Information Systems and Management. Recurrent topics in Marisa Viveros's work include Data Mining Algorithms and Applications (2 papers), Personal Information Management and User Behavior (2 papers) and Recommender Systems and Techniques (1 paper). Marisa Viveros is often cited by papers focused on Data Mining Algorithms and Applications (2 papers), Personal Information Management and User Behavior (2 papers) and Recommender Systems and Techniques (1 paper). Marisa Viveros collaborates with scholars based in United States. Marisa Viveros's co-authors include Richard D. Lawrence, Sastry Duri, George Almási, Vladimir Kotlyar, Michael Rothman, Jennifer C. Lai, Paul B. Chou, Anthony Levas, Cláudio Pinhanez and Ouri Wolfson and has published in prestigious journals such as IBM Journal of Research and Development, International Journal of Human-Computer Studies and Data Mining and Knowledge Discovery.

In The Last Decade

Marisa Viveros

7 papers receiving 214 citations

Author Peers

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

Author Last Decade Papers Cites
Marisa Viveros 156 56 53 47 32 7 238
Young Ok Kwon 165 1.1× 117 2.1× 31 0.6× 32 0.7× 29 0.9× 9 305
Tamas Jambor 228 1.5× 87 1.6× 33 0.6× 75 1.6× 40 1.3× 4 295
Clifford Brunk 117 0.8× 82 1.5× 10 0.2× 50 1.1× 40 1.3× 7 213
Yanzan Zhou 186 1.2× 78 1.4× 21 0.4× 35 0.7× 45 1.4× 7 272
Deirdre O'Brien 91 0.6× 91 1.6× 21 0.4× 37 0.8× 40 1.3× 8 310
Inay Ha 230 1.5× 81 1.4× 43 0.8× 90 1.9× 54 1.7× 15 298
Dimitrios Pierrakos 159 1.0× 69 1.2× 21 0.4× 32 0.7× 34 1.1× 4 237
Chad Cumby 165 1.1× 187 3.3× 19 0.4× 17 0.4× 18 0.6× 11 308
Inma Garcia 208 1.3× 78 1.4× 31 0.6× 41 0.9× 105 3.3× 7 306
Lucas Maystre 153 1.0× 114 2.0× 21 0.4× 58 1.2× 56 1.8× 15 328

Countries citing papers authored by Marisa Viveros

Since Specialization
Citations

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

Fields of papers citing papers by Marisa Viveros

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marisa Viveros

This figure shows the co-authorship network connecting the top 25 collaborators of Marisa Viveros. A scholar is included among the top collaborators of Marisa Viveros 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 Marisa Viveros. Marisa Viveros 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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