Jennifer Vendetti

16 total papers · 428 total citations
8 papers, 239 citations indexed

About

Jennifer Vendetti is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Jennifer Vendetti has authored 8 papers receiving a total of 239 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 6 papers in Molecular Biology and 2 papers in Information Systems. Recurrent topics in Jennifer Vendetti's work include Semantic Web and Ontologies (8 papers), Biomedical Text Mining and Ontologies (6 papers) and Bioinformatics and Genomic Networks (2 papers). Jennifer Vendetti is often cited by papers focused on Semantic Web and Ontologies (8 papers), Biomedical Text Mining and Ontologies (6 papers) and Bioinformatics and Genomic Networks (2 papers). Jennifer Vendetti collaborates with scholars based in United States, Germany and United Kingdom. Jennifer Vendetti's co-authors include Natalya F. Noy, Mark A. Musen, Ray W. Fergerson, Monica Crubézy, Samson W. Tu, Holger Knublauch, Tania Tudorache, Matthew Horridge, John Graybeal and Marcos Martínez-Romero and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Database.

In The Last Decade

Jennifer Vendetti

8 papers receiving 226 citations

Author Peers

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

Author Last Decade Papers Cites
Jennifer Vendetti 142 128 56 20 18 8 239
Kathrin Dentler 122 0.9× 64 0.5× 55 1.0× 13 0.7× 38 2.1× 11 208
Vincent Emonet 140 1.0× 119 0.9× 44 0.8× 23 1.1× 20 1.1× 15 207
John Goodwin 242 1.7× 96 0.8× 89 1.6× 15 0.8× 12 0.7× 9 297
Tom Christiansen 150 1.1× 113 0.9× 72 1.3× 9 0.5× 11 0.6× 13 330
Samir Tartir 250 1.8× 92 0.7× 148 2.6× 13 0.7× 31 1.7× 8 288
Julian Seidenberg 232 1.6× 106 0.8× 137 2.4× 14 0.7× 15 0.8× 9 269
Antonis Loizou 83 0.6× 65 0.5× 55 1.0× 29 1.4× 25 1.4× 13 166
Muntadher Saadoon 138 1.0× 56 0.4× 66 1.2× 7 0.3× 9 0.5× 8 282
Daya C. Wimalasuriya 250 1.8× 58 0.5× 127 2.3× 7 0.3× 57 3.2× 9 319
Lawrence H. Reeve 271 1.9× 102 0.8× 106 1.9× 5 0.3× 33 1.8× 8 297

Countries citing papers authored by Jennifer Vendetti

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Vendetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Vendetti

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