Steven P. Crain
- Sociology and Political Science top 10%
- Health top 5%
- General Health Professions top 10%
- Clinical Psychology
- Artificial Intelligence
- Co-authors
- Luis Fernández-LuqueShabbir Syed-AbdulPhụng Anh NguyễnMin‐Huei HsuYu‐Chuan LiYao‐Chin WangDer-Ming LiouEnkhzaya Chuluunbaatar
- Topics
- Topic Modeling (2 papers)Natural Language Processing Techniques (2 papers)Eating Disorders and Behaviors (1 paper)
- Journals
- Journal of Medical Internet ResearchJournal of Applied Polymer ScienceChemical Vapor Deposition
- Partner nations
- United StatesNorwaySlovakia
In The Last Decade
Steven P. Crain
8 papers receiving 373 citations
Hit Papers
Peers
Comparison fields: 5 of 82
- Sociology and Political Science 172
- Health 126
- General Health Professions 117
- Clinical Psychology 61
- Artificial Intelligence 49
Countries citing papers authored by Steven P. Crain
This map shows the geographic impact of Steven P. Crain'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 Steven P. Crain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven P. Crain more than expected).
Fields of papers citing papers by Steven P. Crain
This network shows the impact of papers produced by Steven P. Crain. 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 Steven P. Crain. The network helps show where Steven P. Crain may publish in the future.
Co-authorship network of co-authors of Steven P. Crain
This figure shows the co-authorship network connecting the top 25 collaborators of Steven P. Crain. A scholar is included among the top collaborators of Steven P. Crain 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 Steven P. Crain. Steven P. Crain is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | Misleading Health-Related Information Promoted Through Video-Based Social Media: Anorexia on YouTubebreakdown → | 252 |
| 3 | 1 | |
| 4 | 58 | |
| 5 | Bridging the Language Gap: Topic Adaptation for Documents with Different Technicality | 12 |
| 6 | Dialect topic modeling for improved consumer medical search. | 10 |
| 7 | 41 | |
| 8 | 9 |
About Steven P. Crain
Steven P. Crain is a scholar working on Pharmacy, Computer Science Applications and Human-Computer Interaction, having authored 8 papers that have together received 386 indexed citations. Recurring topics across this work include Topic Modeling (2 papers), Natural Language Processing Techniques (2 papers) and Eating Disorders and Behaviors (1 paper). The work is most often cited by research in Health (126 citations), Communication (40 citations) and General Health Professions (117 citations). Steven P. Crain has collaborated with scholars based in United States, Norway and Slovakia. Frequent co-authors include Luis Fernández-Luque, Shabbir Syed-Abdul, Phụng Anh Nguyễn, Min‐Huei Hsu, Yu‐Chuan Li, Yao‐Chin Wang, Der-Ming Liou, Enkhzaya Chuluunbaatar, Wen‐Shan Jian and Ingmar Weber. Their work appears in journals such as Journal of Medical Internet Research, Journal of Applied Polymer Science and Chemical Vapor Deposition.
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.