Steven A. Vere
- Artificial Intelligence top 2%
- Computer Networks and Communications top 5%
- Computational Theory and Mathematics top 5%
- Computer Vision and Pattern Recognition
- Industrial and Manufacturing Engineering top 10%
- Co-authors
- Timothy BickmoreDavid F. Martin
- Topics
- AI-based Problem Solving and Planning (10 papers)Semantic Web and Ontologies (4 papers)Natural Language Processing Techniques (4 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceCommunications of the ACMBehavioral and Brain Sciences
- Partner nations
- United StatesCanada
In The Last Decade
Steven A. Vere
14 papers receiving 533 citations
Peers
Comparison fields: 5 of 52
- Artificial Intelligence 513
- Computer Networks and Communications 177
- Computational Theory and Mathematics 93
- Computer Vision and Pattern Recognition 50
- Industrial and Manufacturing Engineering 46
Countries citing papers authored by Steven A. Vere
This map shows the geographic impact of Steven A. Vere'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 A. Vere with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven A. Vere more than expected).
Fields of papers citing papers by Steven A. Vere
This network shows the impact of papers produced by Steven A. Vere. 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 A. Vere. The network helps show where Steven A. Vere may publish in the future.
Co-authorship network of co-authors of Steven A. Vere
This figure shows the co-authorship network connecting the top 25 collaborators of Steven A. Vere. A scholar is included among the top collaborators of Steven A. Vere 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 A. Vere. Steven A. Vere is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 7 | |
| 3 | 105 | |
| 4 | Splicing plans to achieve misordered goals | 8 |
| 5 | Temporal scope of assertions and window cutoff | 15 |
| 6 | Deviser - An AI planner for spacecraft operations | 1 |
| 7 | 266 | |
| 8 | 44 | |
| 9 | 41 | |
| 10 | 15 | |
| 11 | 16 | |
| 12 | Induction of concepts in the predicate calculus | 75 |
| 13 | Syntax Directed Translation of Context Free Languages. | 1 |
| 14 | 9 | |
| 15 | 2 |
About Steven A. Vere
Steven A. Vere is a scholar working on Software, Artificial Intelligence and Computational Theory and Mathematics, having authored 15 papers that have together received 614 indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (10 papers), Semantic Web and Ontologies (4 papers) and Natural Language Processing Techniques (4 papers). The work is most often cited by research in Artificial Intelligence (513 citations), Software (33 citations) and Computer Networks and Communications (177 citations). Steven A. Vere has collaborated with scholars based in United States and Canada. Frequent co-authors include Timothy Bickmore and David F. Martin. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Communications of the ACM and Behavioral and Brain Sciences.
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.