James A. Davis
- Electrical and Electronic Engineering top 10%
- Artificial Intelligence top 5%
- Discrete Mathematics and Combinatorics top 2%
- Computer Networks and Communications top 10%
- Aerospace Engineering
- Co-authors
- Jonathan JedwabQing XiangK. T. ArasuK. SmithE.M. GelbardJ.M. PearsonSurinder K. SehgalMiranda Mowbray
- Topics
- graph theory and CDMA systems (39 papers)Coding theory and cryptography (37 papers)Finite Group Theory Research (23 papers)
- Cited by
- Discrete Mathematics and CombinatoricsArtificial IntelligenceElectrical and Electronic Engineering
- Journals
- IEEE Transactions on Information TheoryIEEE Transactions on CommunicationsElectronics Letters
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
James A. Davis
45 papers receiving 472 citations
Peers
Comparison fields: 5 of 46
- Electrical and Electronic Engineering 431
- Artificial Intelligence 280
- Discrete Mathematics and Combinatorics 183
- Computer Networks and Communications 90
- Aerospace Engineering 44
Countries citing papers authored by James A. Davis
This map shows the geographic impact of James A. Davis'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 James A. Davis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James A. Davis more than expected).
Fields of papers citing papers by James A. Davis
This network shows the impact of papers produced by James A. Davis. 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 James A. Davis. The network helps show where James A. Davis may publish in the future.
Co-authorship network of co-authors of James A. Davis
This figure shows the co-authorship network connecting the top 25 collaborators of James A. Davis. A scholar is included among the top collaborators of James A. Davis 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 James A. Davis. James A. Davis 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 | 0 | |
| 4 | 4 | |
| 5 | 10 | |
| 6 | 11 | |
| 7 | 6 | |
| 8 | 9 | |
| 9 | 1 | |
| 10 | 12 | |
| 11 | 57 | |
| 12 | 20 | |
| 13 | 3 | |
| 14 | 13 | |
| 15 | An Exponent Bound for Relative Difference Sets in p-Groups | 4 |
| 16 | 14 | |
| 17 | 4 | |
| 18 | A Note on Nonabelian (64, 28, 12) Difference Sets | 3 |
| 19 | 7 | |
| 20 | 21 |
About James A. Davis
James A. Davis is a scholar working on Discrete Mathematics and Combinatorics, Artificial Intelligence and Electrical and Electronic Engineering, having authored 49 papers that have together received 511 indexed citations. Recurring topics across this work include graph theory and CDMA systems (39 papers), Coding theory and cryptography (37 papers) and Finite Group Theory Research (23 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (183 citations), Artificial Intelligence (280 citations) and Electrical and Electronic Engineering (431 citations). James A. Davis has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Jonathan Jedwab, Qing Xiang, K. T. Arasu, K. Smith, E.M. Gelbard, J.M. Pearson, Surinder K. Sehgal, Miranda Mowbray, L. A. Hageman and Sophie Huczynska. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Transactions on Communications and Electronics Letters.
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.