Richard Spillman
- Artificial Intelligence top 5%
- Management Science and Operations Research top 2%
- Computational Theory and Mathematics top 5%
- Computer Vision and Pattern Recognition top 10%
- Signal Processing top 10%
- Topics
- Multi-Criteria Decision Making (5 papers)Data Management and Algorithms (3 papers)Cognitive Science and Mapping (3 papers)
- Cited by
- Management Science and Operations ResearchArtificial IntelligenceComputational Theory and Mathematics
- Partner nations
- United StatesAustralia
In The Last Decade
Richard Spillman
21 papers receiving 483 citations
Peers
Comparison fields: 5 of 68
- Artificial Intelligence 300
- Management Science and Operations Research 254
- Computational Theory and Mathematics 116
- Computer Vision and Pattern Recognition 83
- Signal Processing 47
Countries citing papers authored by Richard Spillman
This map shows the geographic impact of Richard Spillman'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 Richard Spillman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard Spillman more than expected).
Fields of papers citing papers by Richard Spillman
This network shows the impact of papers produced by Richard Spillman. 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 Richard Spillman. The network helps show where Richard Spillman may publish in the future.
Co-authorship network of co-authors of Richard Spillman
This figure shows the co-authorship network connecting the top 25 collaborators of Richard Spillman. A scholar is included among the top collaborators of Richard Spillman 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 Richard Spillman. Richard Spillman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | A software tool for teaching classical & contemporary cryptology | 1 |
| 2 | Classical and Contemporary Cryptology | 22 |
| 3 | 16 | |
| 4 | 46 | |
| 5 | 87 | |
| 6 | A computer security course in the undergraduate computer science curriculum | 5 |
| 7 | Managing uncertainty with belief functions | 2 |
| 8 | Computer Architecture and Vax Assembly Language Programming | 4 |
| 9 | An advanced application of the PCB testability design and rating system | 1 |
| 10 | Computer Aided Testability Design Analysis. | 1 |
| 11 | 3 | |
| 12 | 8 | |
| 13 | 2 | |
| 14 | 42 | |
| 15 | 58 | |
| 16 | 28 | |
| 17 | 8 | |
| 18 | 1 | |
| 19 | 13 | |
| 20 | 3 |
About Richard Spillman
Richard Spillman is a scholar working on Management Science and Operations Research, Hardware and Architecture and Signal Processing, having authored 21 papers that have together received 532 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (5 papers), Data Management and Algorithms (3 papers) and Cognitive Science and Mapping (3 papers). The work is most often cited by research in Management Science and Operations Research (254 citations), Artificial Intelligence (300 citations) and Computational Theory and Mathematics (116 citations). Richard Spillman has collaborated with scholars based in United States and Australia. Frequent co-authors include Bonnie Spillman, James C. Bezdek, Marcus L.F. Janssen, Bob Nelson and Stephen Y. H. Su. Their work appears in journals such as Fuzzy Sets and Systems, Communication Monographs and Computers & Electrical Engineering.
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.