Jennifer D’Souza

1.0k total citations
37 papers, 374 citations indexed

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 37 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 19 papers in Molecular Biology and 7 papers in Management Science and Operations Research. Recurrent topics in Jennifer D’Souza's work include Topic Modeling (27 papers), Natural Language Processing Techniques (20 papers) and Biomedical Text Mining and Ontologies (19 papers). Jennifer D’Souza is often cited by papers focused on Topic Modeling (27 papers), Natural Language Processing Techniques (20 papers) and Biomedical Text Mining and Ontologies (19 papers). Jennifer D’Souza collaborates with scholars based in Germany, United States and Czechia. Jennifer D’Souza's co-authors include Vincent Ng, Sören Auer, Markus Stocker, Vincent Ng, Kheir Eddine Farfar, Manuel Prinz, Allard Oelen, Mohamad Yaser Jaradeh, Gábor Kismihók and Lars Vogt and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Biomedical Informatics.

In The Last Decade

Jennifer D’Souza

32 papers receiving 348 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jennifer D’Souza Germany 11 322 157 63 50 38 37 374
Kai Eckert Germany 10 199 0.6× 43 0.3× 84 1.3× 33 0.7× 24 0.6× 39 248
Mohamad Yaser Jaradeh Germany 6 146 0.5× 44 0.3× 54 0.9× 39 0.8× 36 0.9× 10 182
Alex Ratner United States 9 278 0.9× 49 0.3× 64 1.0× 59 1.2× 21 0.6× 11 372
Jennifer Vendetti United States 5 143 0.4× 130 0.8× 56 0.9× 18 0.4× 20 0.5× 8 243
Brigitte Mathiak Germany 9 109 0.3× 40 0.3× 71 1.1× 26 0.5× 21 0.6× 39 199
Michelle Cheatham United States 8 120 0.4× 42 0.3× 63 1.0× 32 0.6× 16 0.4× 36 176
Kheir Eddine Farfar Germany 5 119 0.4× 39 0.2× 46 0.7× 42 0.8× 33 0.9× 7 171
Samir Tartir United States 5 250 0.8× 92 0.6× 148 2.3× 31 0.6× 13 0.3× 8 288
Pucktada Treeratpituk United States 8 229 0.7× 80 0.5× 106 1.7× 140 2.8× 15 0.4× 13 309
Marco Ocana United States 3 165 0.5× 136 0.9× 56 0.9× 9 0.2× 56 1.5× 6 216

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).

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.

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

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer D’Souza. A scholar is included among the top collaborators of Jennifer D’Souza 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 D’Souza. Jennifer D’Souza is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
D’Souza, Jennifer, et al.. (2025). Toward purpose-oriented topic model evaluation enabled by large language models. International Journal on Digital Libraries. 26(4).
2.
D’Souza, Jennifer, et al.. (2024). Quality Assessment of Research Comparisons in the Open Research Knowledge Graph. SHILAP Revista de lepidopterología. 15(1). 126–143. 1 indexed citations
3.
D’Souza, Jennifer. (2024). Agriculture Named Entity Recognition—Towards FAIR, Reusable Scholarly Contributions in Agriculture. SHILAP Revista de lepidopterología. 4(1). 1–26.
4.
D’Souza, Jennifer, et al.. (2024). Evaluating Large Language Models for Structured Science Summarization in the Open Research Knowledge Graph. Information. 15(6). 328–328. 2 indexed citations
5.
6.
D’Souza, Jennifer, et al.. (2023). ORKG-Leaderboards: a systematic workflow for mining leaderboards as a knowledge graph. International Journal on Digital Libraries. 25(1). 41–54. 3 indexed citations
7.
Stocker, Markus, Allard Oelen, Mohamad Yaser Jaradeh, et al.. (2023). FAIR scientific information with the Open Research Knowledge Graph. 1(1). 19–21. 16 indexed citations
8.
9.
Rula, Anisa & Jennifer D’Souza. (2023). Procedural Text Mining with Large Language Models. Institutional Research Information System (Università degli Studi di Brescia). 9–16. 4 indexed citations
10.
D’Souza, Jennifer, et al.. (2023). Zero-Shot Entailment of Leaderboards for Empirical AI Research. 1. 237–241. 1 indexed citations
11.
D’Souza, Jennifer, et al.. (2023). Impact of COVID-19 research: a study on predicting influential scholarly documents using machine learning and a domain-independent knowledge graph. Journal of Biomedical Semantics. 14(1). 18–18. 1 indexed citations
12.
D’Souza, Jennifer, et al.. (2021). Evaluating BERT-based scientific relation classifiers for scholarly knowledge graph construction on digital library collections. International Journal on Digital Libraries. 23(2). 197–215. 4 indexed citations
13.
D’Souza, Jennifer & Sören Auer. (2020). Graphing Contributions in Natural Language Processing Research: Intra-Annotator Agreement on a Trial Dataset.. arXiv (Cornell University). 1 indexed citations
14.
D’Souza, Jennifer, et al.. (2020). Fine-tuning BERT with Focus Words for Explanation Regeneration.. Joint Conference on Lexical and Computational Semantics. 125–130. 1 indexed citations
15.
Auer, Sören, Allard Oelen, Muhammad Haris, et al.. (2020). Improving Access to Scientific Literature with Knowledge Graphs. BIBLIOTHEK Forschung und Praxis. 44(3). 516–529. 33 indexed citations
16.
D’Souza, Jennifer, et al.. (2020). Targeting precision: A hybrid scientific relation extraction pipeline for improved scholarly knowledge organization. Proceedings of the Association for Information Science and Technology. 57(1). 1 indexed citations
17.
D’Souza, Jennifer & Vincent Ng. (2015). Sieve-Based Entity Linking for the Biomedical Domain. 297–302. 68 indexed citations
18.
D’Souza, Jennifer. (2015). A Sequence Labeling Approach to Deriving Word Variants. Proceedings of the AAAI Conference on Artificial Intelligence. 29(1). 1 indexed citations
19.
D’Souza, Jennifer & Neil R. Smalheiser. (2014). Three Journal Similarity Metrics and Their Application to Biomedical Journals. PLoS ONE. 9(12). e115681–e115681. 10 indexed citations
20.
D’Souza, Jennifer, et al.. (2012). Effectiveness of Lady’s Finger Juice in the Control of Blood Sugar Among Type 2 Diabetes Mellitus Clients Aged 45-60 Years in Selected Areas of Mangalore. International Journal of Scientific Research. 3(6). 374–375. 2 indexed citations

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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