Derek T. Anderson
- Artificial Intelligence top 1%
- Computer Vision and Pattern Recognition top 1%
- Management Science and Operations Research top 1%
- Biomedical Engineering top 10%
- Statistics and Probability top 2%
- Co-authors
- James M. KellerTimothy C. HavensMarjorie SkubicRobert H. LukeChristian WagnerMarilyn RantzMyra A. AudGrant J. Scott
- Topics
- Multi-Criteria Decision Making (35 papers)Remote-Sensing Image Classification (27 papers)Fuzzy Systems and Optimization (20 papers)
- Cited by
- Computer Vision and Pattern RecognitionManagement Science and Operations ResearchStatistics and Probability
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Derek T. Anderson
158 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 143
- Artificial Intelligence 861
- Computer Vision and Pattern Recognition 747
- Management Science and Operations Research 401
- Biomedical Engineering 318
- Statistics and Probability 252
Countries citing papers authored by Derek T. Anderson
This map shows the geographic impact of Derek T. Anderson'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 Derek T. Anderson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Derek T. Anderson more than expected).
Fields of papers citing papers by Derek T. Anderson
This network shows the impact of papers produced by Derek T. Anderson. 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 Derek T. Anderson. The network helps show where Derek T. Anderson may publish in the future.
Co-authorship network of co-authors of Derek T. Anderson
This figure shows the co-authorship network connecting the top 25 collaborators of Derek T. Anderson. A scholar is included among the top collaborators of Derek T. Anderson 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 Derek T. Anderson. Derek T. Anderson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 9 | |
| 8 | 21 | |
| 9 | 4 | |
| 10 | 51 | |
| 11 | 56 | |
| 12 | 32 | |
| 13 | 1 | |
| 14 | 34 | |
| 15 | 1 | |
| 16 | Fuzzy Voxel Object. | 3 |
| 17 | Fuzzy Logic-Based Image Processing Using Graphics Processor Units | 3 |
| 18 | 138 | |
| 19 | 5 | |
| 20 | Hidden Markov Model Symbol Recognition for Sketch-Based Interfaces. | 30 |
About Derek T. Anderson
Derek T. Anderson is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Management Science and Operations Research, having authored 170 papers that have together received 2.0k indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (35 papers), Remote-Sensing Image Classification (27 papers) and Fuzzy Systems and Optimization (20 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (747 citations), Management Science and Operations Research (401 citations) and Statistics and Probability (252 citations). Derek T. Anderson has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include James M. Keller, Timothy C. Havens, Marjorie Skubic, Robert H. Luke, Christian Wagner, Marilyn Rantz, Myra A. Aud, Grant J. Scott, Anthony J. Pinar and Daniel J. Wescott. Their work appears in journals such as Optics Express, Sensors and Information 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.