David Ostrowski
Impact in
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- Hemoglobinopathies and Related Disorders
- General Social Sciences top 5%
Papers in
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- Semantic Web and Ontologies 8
- Advanced Text Analysis Techniques 7
- Evolutionary Algorithms and Applications 5
- Sentiment Analysis and Opinion Mining 4
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- Service-Oriented Architecture and Web Services 6
- Co-authors
- Robert G. Reynolds (7 shared papers)Mira Kim (3 shared papers)M. P. Everson (3 shared papers)Troy Tassier (2 shared papers)Eric R. Henry (2 shared papers)William A. Eaton (2 shared papers)Swee Lay Thein (2 shared papers)Emily B. Dunkelberger (1 shared paper)
- Journals
- The Journal of Urology (2 papers)Neurourology and Urodynamics (1 paper)Proceedings of the National Academy of Sciences (1 paper)Redox Biology (1 paper)Journal of Pediatric Urology (1 paper)
- Partner nations
- United StatesFranceJapan
In The Last Decade
David Ostrowski
40 papers receiving 334 citations
Peers
Comparison fields: 5 of 89
- Genetics 51
- General Social Sciences 16
- Artificial Intelligence 150
- Hematology 31
- Management Information Systems 28
Countries citing papers authored by David Ostrowski
This map shows the geographic impact of David Ostrowski'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 David Ostrowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Ostrowski more than expected).
Fields of papers citing papers by David Ostrowski
This network shows the impact of papers produced by David Ostrowski. 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 David Ostrowski. The network helps show where David Ostrowski may publish in the future.
Co-authors
The 25 scholars most cited alongside David Ostrowski, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 45 | |
| 2 | 2020 | 35 | |
| 3 | 2017 | 30 | |
| 4 | 2018 | 28 | |
| 5 | 2016 | 23 | |
| 6 | 2004 | 19 | |
| 7 | 2010 | 18 | |
| 8 | 2023 | 16 | |
| 9 | 2003 | 15 | |
| 10 | 2019 | 14 | |
| 11 | 2003 | 12 | |
| 12 | 2014 | 12 | |
| 13 | 2013 | 9 | |
| 14 | 2005 | 8 | |
| 15 | 2012 | 7 | |
| 16 | 2015 | 6 | |
| 17 | 2014 | 6 | |
| 18 | 1998 | 5 | |
| 19 | 2008 | 5 | |
| 20 | Enterprise Ontology Merging for the Semantic Web. | 2008 | 4 |
About David Ostrowski
David Ostrowski is a scholar working on Artificial Intelligence, Information Systems, Statistical and Nonlinear Physics, Management Science and Operations Research and Computer Networks and Communications, having authored 43 papers that have together received 358 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (8 papers), Complex Network Analysis Techniques (8 papers), Advanced Text Analysis Techniques (7 papers), Service-Oriented Architecture and Web Services (6 papers), Evolutionary Algorithms and Applications (5 papers), Erythrocyte Function and Pathophysiology (4 papers), Sentiment Analysis and Opinion Mining (4 papers) and Opinion Dynamics and Social Influence (4 papers). The work is most often cited by research in Genetics (51 citations), General Social Sciences (16 citations), Artificial Intelligence (150 citations), Hematology (31 citations) and Management Information Systems (28 citations). David Ostrowski has collaborated with scholars based in United States, France and Japan. Frequent co-authors include Robert G. Reynolds, Mira Kim, M. P. Everson, Troy Tassier, Eric R. Henry, William A. Eaton, Swee Lay Thein, Emily B. Dunkelberger, Troy Cellmer and Belhu Metaferia. Their work appears in journals such as The Journal of Urology, Neurourology and Urodynamics, Proceedings of the National Academy of Sciences, Redox Biology and Journal of Pediatric Urology.
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.