David Ostrowski
Impact in
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- Hemoglobinopathies and Related Disorders
- Artificial Intelligence top 10%
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Evolutionary Algorithms and Applications
- Metaheuristic Optimization Algorithms Research
Papers in
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- Advanced Text Analysis Techniques 7
- Semantic Web and Ontologies 6
- Sentiment Analysis and Opinion Mining 4
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- Complex Network Analysis Techniques 8
- Opinion Dynamics and Social Influence 4
- Co-authors
- Robert G. Reynolds (4 shared papers)M. P. Everson (3 shared papers)Swee Lay Thein (2 shared papers)Eric R. Henry (2 shared papers)Troy Tassier (2 shared papers)Mira Kim (3 shared papers)William A. Eaton (2 shared papers)Quan Li (1 shared paper)
- Journals
- The Journal of Urology (2 papers)Cancers (1 paper)Neurourology and Urodynamics (1 paper)Experimental Biology and Medicine (1 paper)Bioconjugate Chemistry (1 paper)
- Partner nations
- United StatesFranceJapan
In The Last Decade
David Ostrowski
35 papers receiving 264 citations
Peers
Comparison fields: 5 of 90
- Genetics 47
- Artificial Intelligence 108
- General Social Sciences 10
- Health Informatics 4
- Hematology 32
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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 35 | |
| 2 | 2020 | 31 | |
| 3 | 2017 | 29 | |
| 4 | 2018 | 23 | |
| 5 | 2010 | 18 | |
| 6 | 2023 | 15 | |
| 7 | 2004 | 15 | |
| 8 | 2016 | 14 | |
| 9 | 2019 | 14 | |
| 10 | 2003 | 12 | |
| 11 | 2013 | 9 | |
| 12 | 2014 | 9 | |
| 13 | 2003 | 9 | |
| 14 | 2005 | 7 | |
| 15 | 2012 | 6 | |
| 16 | 2015 | 5 | |
| 17 | 2003 | 4 | |
| 18 | Enterprise Ontology Merging for the Semantic Web. | 2008 | 3 |
| 19 | 2013 | 3 | |
| 20 | 2017 | 3 |
About David Ostrowski
David Ostrowski is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Information Systems, Computer Networks and Communications and Management Science and Operations Research, having authored 38 papers that have together received 285 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (8 papers), Advanced Text Analysis Techniques (7 papers), Semantic Web and Ontologies (6 papers), Sentiment Analysis and Opinion Mining (4 papers), Erythrocyte Function and Pathophysiology (4 papers), Service-Oriented Architecture and Web Services (4 papers), Opinion Dynamics and Social Influence (4 papers) and Advanced Database Systems and Queries (3 papers). The work is most often cited by research in Genetics (47 citations), Artificial Intelligence (108 citations), General Social Sciences (10 citations), Health Informatics (4 citations) and Hematology (32 citations). David Ostrowski has collaborated with scholars based in United States, France and Japan. Frequent co-authors include Robert G. Reynolds, M. P. Everson, Swee Lay Thein, Eric R. Henry, Troy Tassier, Mira Kim, William A. Eaton, Quan Li, Hiroshi Yamaguchi and Mark T. Gladwin. Their work appears in journals such as The Journal of Urology, Cancers, Neurourology and Urodynamics, Experimental Biology and Medicine and Bioconjugate Chemistry.
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.