Douglas Teodoro

7.9k total citations
69 papers, 494 citations indexed

About

Douglas Teodoro is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Douglas Teodoro has authored 69 papers receiving a total of 494 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Artificial Intelligence, 35 papers in Molecular Biology and 12 papers in Information Systems. Recurrent topics in Douglas Teodoro's work include Biomedical Text Mining and Ontologies (33 papers), Topic Modeling (16 papers) and Semantic Web and Ontologies (13 papers). Douglas Teodoro is often cited by papers focused on Biomedical Text Mining and Ontologies (33 papers), Topic Modeling (16 papers) and Semantic Web and Ontologies (13 papers). Douglas Teodoro collaborates with scholars based in Switzerland, United States and France. Douglas Teodoro's co-authors include Patrick Ruch, Emilie Pasche, Julien Gobeill, Christian Lovis, Nikolay Borissov, Nona Naderi, Quentin Haas, Doris Kopp‐Heim, Beatrice Minder and Poorya Amini and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Medical Internet Research.

In The Last Decade

Douglas Teodoro

64 papers receiving 469 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Douglas Teodoro Switzerland 12 211 197 77 48 41 69 494
Frank J. Manion United States 15 174 0.8× 253 1.3× 49 0.6× 49 1.0× 27 0.7× 31 592
Julien Gobeill Switzerland 13 271 1.3× 360 1.8× 51 0.7× 31 0.6× 17 0.4× 67 497
Philipp Daumke Germany 9 377 1.8× 331 1.7× 126 1.6× 54 1.1× 45 1.1× 29 696
Spencer A. Thomas United Kingdom 13 152 0.7× 197 1.0× 22 0.3× 23 0.5× 12 0.3× 52 638
Son Doan United States 13 484 2.3× 476 2.4× 127 1.6× 45 0.9× 47 1.1× 34 1.0k
Mar Marcos Spain 12 169 0.8× 166 0.8× 169 2.2× 22 0.5× 46 1.1× 33 447
Megan Kaiser United States 11 233 1.1× 196 1.0× 112 1.5× 29 0.6× 34 0.8× 14 481
Jingcheng Du United States 19 729 3.5× 414 2.1× 158 2.1× 49 1.0× 26 0.6× 63 1.5k
Louise Deléger France 18 521 2.5× 429 2.2× 113 1.5× 35 0.7× 46 1.1× 46 844
Qiao Jin United States 16 647 3.1× 273 1.4× 63 0.8× 42 0.9× 29 0.7× 51 1.2k

Countries citing papers authored by Douglas Teodoro

Since Specialization
Citations

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

Fields of papers citing papers by Douglas Teodoro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Douglas Teodoro

This figure shows the co-authorship network connecting the top 25 collaborators of Douglas Teodoro. A scholar is included among the top collaborators of Douglas Teodoro 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 Douglas Teodoro. Douglas Teodoro 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.
Teodoro, Douglas, et al.. (2026). HealthContradict: Evaluating biomedical knowledge conflicts in language models. npj Digital Medicine. 9(1). 152–152.
2.
Teodoro, Douglas, et al.. (2025). An Evaluation Benchmark for Adverse Drug Event Prediction from Clinical Trial Results. Scientific Data. 12(1). 424–424. 2 indexed citations
3.
4.
Teodoro, Douglas, et al.. (2025). A scoping review of artificial intelligence applications in clinical trial risk assessment. npj Digital Medicine. 8(1). 486–486. 2 indexed citations
5.
Shiri, Isaac, Behrooz Razeghi, Yazdan Salimi, et al.. (2024). PRIMIS: Privacy-preserving medical image sharing via deep sparsifying transform learning with obfuscation. Journal of Biomedical Informatics. 150. 104583–104583. 5 indexed citations
6.
Kamalakannan, Sureshkumar, Jill Hanass‐Hancock, Mónica Pinilla‐Roncancio, et al.. (2024). Data resource profile: the disability statistics questionnaire review database (DS-QR Database): a database of population censuses and household surveys with internationally comparable disability questions. International Journal for Population Data Science. 8(6). 2477–2477. 1 indexed citations
7.
Borissov, Nikolay, et al.. (2023). Deep learning-based risk prediction for interventional clinical trials based on protocol design: A retrospective study. Patterns. 4(3). 100689–100689. 10 indexed citations
8.
Naderi, Nona, et al.. (2023). Transformer Performance for Chemical Reactions: Analysis of Different Predictive and Evaluation Scenarios. Journal of Chemical Information and Modeling. 63(7). 1914–1924. 21 indexed citations
9.
Haas, Quentin, et al.. (2021). Vaccine Development in the Time of COVID-19: The Relevance of the Risklick AI to Assist in Risk Assessment and Optimize Performance. Frontiers in Digital Health. 3. 745674–745674. 3 indexed citations
10.
Teodoro, Douglas, Nona Naderi, Emilie Pasche, et al.. (2020). UPCLASS: a deep learning-based classifier for UniProtKB entry publications. Database. 2020. 7 indexed citations
11.
Naderi, Nona, et al.. (2020). BiTeM at WNUT 2020 Shared Task-1: Named Entity Recognition over Wet Lab Protocols using an Ensemble of Contextual Language Models. ArODES (HES-SO (https://www.hes-so.ch/)). 305–313. 8 indexed citations
12.
Naderi, Nona, Julien Gobeill, Douglas Teodoro, Emilie Pasche, & Patrick Ruch. (2019). A Baseline Approach for Early Detection of Signs of Anorexia and Self-harm in Reddit Posts.. Archive ouverte UNIGE (University of Geneva). 5 indexed citations
13.
Teodoro, Douglas, et al.. (2019). Data-driven approach for measuring the severity of the signs of depression using reddit posts :. Archive ouverte UNIGE (University of Geneva). 2 indexed citations
14.
Pasche, Emilie, et al.. (2017). Customizing a Variant Annotation-Support Tool: an Inquiry into Probability Ranking Principles for TREC Precision Medicine. ArODES (HES-SO (https://www.hes-so.ch/)). 6 indexed citations
15.
Schober, Daniel, Rémy Choquet, Frank Enders, et al.. (2014). DebugIT: Ontology-mediated Layered Data Integration for Real-time Antibiotics Resistance Surveillance.. Archive ouverte UNIGE (University of Geneva). 3 indexed citations
16.
Gobeill, Julien, et al.. (2011). Bitem group report for TREC medical records track 2011. ArODES (HES-SO (https://www.hes-so.ch/)). 4 indexed citations
17.
Gobeill, Julien, et al.. (2011). BiTeM group report for TREC Chemical IR Track 2011. ArODES (HES-SO (https://www.hes-so.ch/)). 2 indexed citations
18.
Teodoro, Douglas, et al.. (2010). Automatic IPC Encoding and Novelty Tracking for Effective Patent Mining.. NTCIR. 309–317. 11 indexed citations
19.
Gobeill, Julien, et al.. (2010). BiTeM site Report for TREC Chemistry 2010: Impact of Citations Feeback for Patent Prior Art Search and Chemical Compounds Expansion for Ad Hoc Retrieval.. Text REtrieval Conference. 5 indexed citations
20.
Gobeill, Julien, Douglas Teodoro, Emilie Pasche, & Patrick Ruch. (2009). Report on the TREC 2009 Experiments: Chemical IR Track. Text REtrieval Conference. 15 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Frank J. Manion Breakdown of academic impact, for papers by Julien Gobeill Breakdown of academic impact, for papers by Philipp Daumke Breakdown of academic impact, for papers by Spencer A. Thomas Breakdown of academic impact, for papers by Son Doan Breakdown of academic impact, for papers by Mar Marcos Breakdown of academic impact, for papers by Megan Kaiser Breakdown of academic impact, for papers by Jingcheng Du Breakdown of academic impact, for papers by Louise Deléger Breakdown of academic impact, for papers by Qiao Jin
Rankless by CCL
2026