Steven Dolins
- Artificial Intelligence
- Molecular Biology
- Information Systems
- Health Information Management top 10%
- Ecology
- Co-authors
- Michael R. SilverAshutosh SrivastavaBruce E. FlinchbaughMichael BowenTaane G. ClarkRajpal Singh PuniaSuzanne LaoShameema Esufali
- Topics
- Semantic Web and Ontologies (4 papers)Data Mining Algorithms and Applications (3 papers)AI-based Problem Solving and Planning (3 papers)
- Cited by
- Health Information ManagementNature and Landscape ConservationManagement Information Systems
- Journals
- IEEE Transactions on Industry ApplicationsForest Ecology and ManagementIEEE Transactions on Semiconductor Manufacturing
- Partner nations
- United States
In The Last Decade
Steven Dolins
11 papers receiving 171 citations
Peers
Comparison fields: 5 of 83
- Artificial Intelligence 50
- Molecular Biology 43
- Information Systems 32
- Health Information Management 28
- Ecology 26
Countries citing papers authored by Steven Dolins
This map shows the geographic impact of Steven Dolins'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 Dolins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven Dolins more than expected).
Fields of papers citing papers by Steven Dolins
This network shows the impact of papers produced by Steven Dolins. 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 Dolins. The network helps show where Steven Dolins may publish in the future.
Co-authorship network of co-authors of Steven Dolins
This figure shows the co-authorship network connecting the top 25 collaborators of Steven Dolins. A scholar is included among the top collaborators of Steven Dolins 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 Dolins. Steven Dolins is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 32 | |
| 2 | 36 | |
| 3 | 0 | |
| 4 | Can AI Techniques Be Applied to Forest Science Data Integration Problems | 1 |
| 5 | The Role of AI in Building a Culture of Partnership between Patients and Providers. | 2 |
| 6 | 5 | |
| 7 | Case study: how to apply data mining techniques in a healthcare data warehouse. | 63 |
| 8 | 6 | |
| 9 | 0 | |
| 10 | Designing Expert Systems: A Guide to Selecting Implementation Techniques | 8 |
| 11 | 22 | |
| 12 | Problem features that influence the design of expert systems | 3 |
| 13 | Choosing Architectures for Expert Systems. | 9 |
About Steven Dolins
Steven Dolins is a scholar working on Management Information Systems, Artificial Intelligence and Information Systems, having authored 13 papers that have together received 187 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (4 papers), Data Mining Algorithms and Applications (3 papers) and AI-based Problem Solving and Planning (3 papers). The work is most often cited by research in Health Information Management (28 citations), Nature and Landscape Conservation (21 citations) and Management Information Systems (15 citations). Steven Dolins has collaborated with scholars based in United States. Frequent co-authors include Michael R. Silver, Ashutosh Srivastava, Bruce E. Flinchbaugh, Michael Bowen, Taane G. Clark, Rajpal Singh Punia, Suzanne Lao, Shameema Esufali, Richard Condit and Paul Kline. Their work appears in journals such as IEEE Transactions on Industry Applications, Forest Ecology and Management and IEEE Transactions on Semiconductor Manufacturing.
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.