Paul K. Harmer
- Biomedical Engineering
- Computer Networks and Communications top 10%
- Artificial Intelligence top 10%
- Signal Processing top 10%
- Molecular Biology
- Co-authors
- Gary B. LamontGregg H. GunschPaul WilliamsMichael A. TempleDonald R. ReisingMark A. BucknerEthan FarquharRyan W. Thomas
- Topics
- Wireless Signal Modulation Classification (6 papers)Speech and Audio Processing (4 papers)Artificial Immune Systems Applications (3 papers)
- Journals
- IEEE Transactions on Evolutionary ComputationJournal of CommunicationsOSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)
- Partner nations
- United States
In The Last Decade
Paul K. Harmer
10 papers receiving 237 citations
Peers
Comparison fields: 5 of 39
- Biomedical Engineering 170
- Computer Networks and Communications 112
- Artificial Intelligence 107
- Signal Processing 59
- Molecular Biology 36
Countries citing papers authored by Paul K. Harmer
This map shows the geographic impact of Paul K. Harmer'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 Paul K. Harmer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul K. Harmer more than expected).
Fields of papers citing papers by Paul K. Harmer
This network shows the impact of papers produced by Paul K. Harmer. 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 Paul K. Harmer. The network helps show where Paul K. Harmer may publish in the future.
Co-authorship network of co-authors of Paul K. Harmer
This figure shows the co-authorship network connecting the top 25 collaborators of Paul K. Harmer. A scholar is included among the top collaborators of Paul K. Harmer 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 Paul K. Harmer. Paul K. Harmer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 24 | |
| 2 | 5 | |
| 3 | 2 | |
| 4 | 7 | |
| 5 | 5 | |
| 6 | 7 | |
| 7 | ENHANCING NETWORK SECURITY USING 'LEARNING-FROM-SIGNALS' AND FRACTIONAL FOURIER TRANSFORM BASED RF-DNA FINGERPRINTS | 3 |
| 8 | 205 | |
| 9 | Protein Structure Prediction with EA immunological computation | 2 |
| 10 | A Distributed Agent Architecture for a Computer Virus Immune System | 9 |
About Paul K. Harmer
Paul K. Harmer is a scholar working on Signal Processing, Artificial Intelligence and Computer Networks and Communications, having authored 10 papers that have together received 269 indexed citations. Recurring topics across this work include Wireless Signal Modulation Classification (6 papers), Speech and Audio Processing (4 papers) and Artificial Immune Systems Applications (3 papers). The work is most often cited by research in Signal Processing (59 citations), Computer Networks and Communications (112 citations) and Biomedical Engineering (170 citations). Paul K. Harmer has collaborated with scholars based in United States. Frequent co-authors include Gary B. Lamont, Gregg H. Gunsch, Paul Williams, Michael A. Temple, Donald R. Reising, Mark A. Buckner, Ethan Farquhar, Ryan W. Thomas, Richard K. Martin and M. Bobrek. Their work appears in journals such as IEEE Transactions on Evolutionary Computation, Journal of Communications and OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).
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.