Thomas Long
Impact in
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- Aquaculture Nutrition and Growth
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- Surface Modification and Superhydrophobicity
Papers in
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- Hermeneutics and Narrative Identity 2
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- Health, Medicine and Society 2
- Aging, Elder Care, and Social Issues 2
- Co-authors
- Chelsea S. Davis (1 shared paper)Alfred J. Crosby (1 shared paper)Santanu Kundu (1 shared paper)Ravi Sharma (1 shared paper)Xiaoyong Xie (1 shared paper)Zhonghong Cao (1 shared paper)Alan L. Selman (1 shared paper)Murali Sitaraman (2 shared papers)
- Journals
- Journal of Polymer Science Part B Polymer Physics (1 paper)Journal of Fish Biology (1 paper)State University of New York Press eBooks (1 paper)
- Partner nations
- United StatesSpainGermany
In The Last Decade
Thomas Long
4 papers receiving 45 citations
Peers
Comparison fields: 5 of 38
- Aquatic Science 11
- Surfaces, Coatings and Films 7
- Physiology 4
- Nature and Landscape Conservation 7
- Mechanical Engineering 17
Countries citing papers authored by Thomas Long
This map shows the geographic impact of Thomas Long'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 Thomas Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Long more than expected).
Fields of papers citing papers by Thomas Long
This network shows the impact of papers produced by Thomas Long. 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 Thomas Long. The network helps show where Thomas Long may publish in the future.
Co-authors
The 11 scholars most cited alongside Thomas Long, 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 | 2010 | 23 | |
| 2 | 1998 | 16 | |
| 3 | 2004 | 6 | |
| 4 | 2005 | 2 | |
| 5 | Teaching the Essential Role of Mathematical Modeling in Understanding and Reasoning About Objects | 1997 | 1 |
| 6 | A Data Abstraction Alternative to Data Structure/Algorithm Modularization | 2008 | 0 |
| 7 | 1992 | 0 |
About Thomas Long
Thomas Long is a scholar working on Philosophy, General Health Professions, Communication, Nature and Landscape Conservation and Aquatic Science, having authored 7 papers that have together received 48 indexed citations. Recurring topics across this work include Hermeneutics and Narrative Identity (2 papers), Health, Medicine and Society (2 papers), Aging, Elder Care, and Social Issues (2 papers), Advanced Materials and Mechanics (1 paper), Logic, programming, and type systems (1 paper), Cross-Cultural and Social Analysis (1 paper), Reproductive biology and impacts on aquatic species (1 paper) and Complexity and Algorithms in Graphs (1 paper). The work is most often cited by research in Aquatic Science (11 citations), Surfaces, Coatings and Films (7 citations), Physiology (4 citations), Nature and Landscape Conservation (7 citations) and Mechanical Engineering (17 citations). Thomas Long has collaborated with scholars based in United States, Spain and Germany. Frequent co-authors include Chelsea S. Davis, Alfred J. Crosby, Santanu Kundu, Ravi Sharma, Xiaoyong Xie, Zhonghong Cao, Alan L. Selman, Murali Sitaraman, Bruce W. Weide and José L. Balcázar. Their work appears in journals such as Journal of Polymer Science Part B Polymer Physics, Journal of Fish Biology and State University of New York Press eBooks.
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.