William B. Gevarter
- Control and Systems Engineering top 5%
- Civil and Structural Engineering
- Artificial Intelligence
- Mechanical Engineering
- Aerospace Engineering
- Topics
- Big Data and Business Intelligence (2 papers)Complex Systems and Decision Making (2 papers)Dynamics and Control of Mechanical Systems (2 papers)
- Partner nations
- United StatesBrazil
In The Last Decade
William B. Gevarter
15 papers receiving 262 citations
Peers
Comparison fields: 5 of 65
- Control and Systems Engineering 172
- Civil and Structural Engineering 62
- Artificial Intelligence 58
- Mechanical Engineering 45
- Aerospace Engineering 43
Countries citing papers authored by William B. Gevarter
This map shows the geographic impact of William B. Gevarter'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 William B. Gevarter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William B. Gevarter more than expected).
Fields of papers citing papers by William B. Gevarter
This network shows the impact of papers produced by William B. Gevarter. 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 William B. Gevarter. The network helps show where William B. Gevarter may publish in the future.
Co-authorship network of co-authors of William B. Gevarter
This figure shows the co-authorship network connecting the top 25 collaborators of William B. Gevarter. A scholar is included among the top collaborators of William B. Gevarter 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 William B. Gevarter. William B. Gevarter is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | The basic principles of expert systems | 2 |
| 3 | The nature and evaluation of commercial expert system building tools | 1 |
| 4 | 4 | |
| 5 | 6 | |
| 6 | The nature and evaluation of commercial expert system building tools, revision 1 | 1 |
| 7 | 10 | |
| 8 | Robotics: An Overview | 3 |
| 9 | Artificial Intelligence, an Overview: The Core Ingredients | 1 |
| 10 | 2 | |
| 11 | 58 | |
| 12 | An overview of artificial intelligence and robotics. Volume 1: Artificial intelligence. Part C: Basic AI topics | 1 |
| 13 | An Overview of Artificial Intelligence and Robotics. Volume I - Artificial Intelligence, Part B - Applications | 3 |
| 14 | Artificial Intelligence, Expert Systems, Computer Vision, and Natural Language Processing | 23 |
| 15 | Federal programs in artificial intelligence | 1 |
| 16 | 173 | |
| 17 | 4 | |
| 18 | 3 |
About William B. Gevarter
William B. Gevarter is a scholar working on Management Science and Operations Research, Management Information Systems and Artificial Intelligence, having authored 18 papers that have together received 296 indexed citations. Recurring topics across this work include Big Data and Business Intelligence (2 papers), Complex Systems and Decision Making (2 papers) and Dynamics and Control of Mechanical Systems (2 papers). The work is most often cited by research in Control and Systems Engineering (172 citations), Civil and Structural Engineering (62 citations) and Artificial Intelligence (58 citations). William B. Gevarter has collaborated with scholars based in United States and Brazil. Frequent co-authors include Peter Cheeseman, Bernard Su Min Chern, James S. Albus and James R. Slagle. Their work appears in journals such as Expert Systems with Applications, AIAA Journal and Telematics and Informatics.
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.