Jennifer D’Souza

21 papers and 83 indexed citations i.

About

Jennifer D’Souza is a scholar working on Artificial Intelligence, Molecular Biology and Management Science and Operations Research. According to data from OpenAlex, Jennifer D’Souza has authored 21 papers receiving a total of 83 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 9 papers in Molecular Biology and 5 papers in Management Science and Operations Research. Recurrent topics in Jennifer D’Souza’s work include Topic Modeling (18 papers), Natural Language Processing Techniques (10 papers) and Biomedical Text Mining and Ontologies (9 papers). Jennifer D’Souza is often cited by papers focused on Topic Modeling (18 papers), Natural Language Processing Techniques (10 papers) and Biomedical Text Mining and Ontologies (9 papers). Jennifer D’Souza collaborates with scholars based in Germany, United States and Italy. Jennifer D’Souza's co-authors include Sören Auer, Vincent Ng, Ted Pedersen, Neil R. Smalheiser, Vincent Ng, Lars Vogt, Allard Oelen, Mohamad Yaser Jaradeh, Markus Stocker and Manuel Prinz and has published in prestigious journals such as PLoS ONE, Journal of Biomedical Informatics and Language Resources and Evaluation.

In The Last Decade

Co-authorship network of co-authors of Jennifer D’Souza i

Fields of papers citing papers by Jennifer D’Souza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jennifer D’Souza

Since Specialization
Citations

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

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2025