Jennifer D’Souza
- Artificial Intelligence top 5%
- Topic Modeling 27
- Natural Language Processing Techniques 20
- Semantic Web and Ontologies 12
- Speech and dialogue systems 2
- Explainable Artificial Intelligence (XAI) 2
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- Scientific Computing and Data Management 3
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- Data Quality and Management 7
- Information Systems top 10%
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- Biomedical Text Mining and Ontologies 19
- Co-authors
- Vincent NgSören AuerMarkus StockerAllard OelenManuel PrinzKheir Eddine FarfarMohamad Yaser JaradehGábor Kismihók
- Cited by
- Artificial IntelligenceInformation Systems and ManagementManagement Science and Operations Research
- Journals
- SHILAP Revista de lepidopterología (2 papers)PLoS ONE (1 paper)Journal of Biomedical Informatics (1 paper)
- Partner nations
- GermanyUnited StatesCzechia
In The Last Decade
Jennifer D’Souza
32 papers receiving 348 citations
Peers
Comparison fields: 5 of 54
- Artificial Intelligence 322
- Information Systems and Management 38
- Management Science and Operations Research 50
- Information Systems 63
- Molecular Biology 157
Countries citing papers authored by Jennifer D’Souza
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).
Fields of papers citing papers by Jennifer D’Souza
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.
Co-authorship network
The 18 scholars most cited alongside Jennifer D’Souza, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 10 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 3 | |
| 9 | 2023 | 0 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 1 | |
| 12 | 2023 | 16 | |
| 13 | 2021 | 4 | |
| 14 | Graphing Contributions in Natural Language Processing Research: Intra-Annotator Agreement on a Trial Dataset. | 2020 | 1 |
| 15 | Fine-tuning BERT with Focus Words for Explanation Regeneration. | 2020 | 1 |
| 16 | 2020 | 33 | |
| 17 | 2015 | 68 | |
| 18 | 2014 | 10 | |
| 19 | 2013 | 10 | |
| 20 | 2012 | 2 |
About Jennifer D’Souza
Jennifer D’Souza is a scholar working on Artificial Intelligence, Management Science and Operations Research and Information Systems and Management, having authored 37 papers that have together received 374 indexed citations. Recurring topics across this work include Topic Modeling (27 papers), Natural Language Processing Techniques (20 papers), Biomedical Text Mining and Ontologies (19 papers), Semantic Web and Ontologies (12 papers), Data Quality and Management (7 papers), Scientific Computing and Data Management (3 papers), Speech and dialogue systems (2 papers) and Explainable Artificial Intelligence (XAI) (2 papers). The work is most often cited by research in Artificial Intelligence (322 citations), Information Systems and Management (38 citations) and Management Science and Operations Research (50 citations). Jennifer D’Souza has collaborated with scholars based in Germany, United States and Czechia. Frequent co-authors include Vincent Ng, Sören Auer, Markus Stocker, Vincent Ng, Allard Oelen, Manuel Prinz, Kheir Eddine Farfar, Mohamad Yaser Jaradeh, Gábor Kismihók and Lars Vogt. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Biomedical Informatics.
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.