R. C. Mullin
- Artificial Intelligence top 2%
- Electrical and Electronic Engineering top 10%
- Information Systems top 1%
- Computational Theory and Mathematics top 2%
- Discrete Mathematics and Combinatorics top 2%
- Co-authors
- Scott A. VanstoneGordon B. AgnewI. OnyszchukW. D. WallisR. WilsonP. J. SchellenbergR. G. StantonW. H. Mills
- Topics
- graph theory and CDMA systems (30 papers)Optimal Experimental Design Methods (12 papers)Finite Group Theory Research (10 papers)
- Journals
- BiometricsAnnals of the New York Academy of SciencesIEEE Journal on Selected Areas in Communications
- Partner nations
- CanadaUnited StatesGermany
In The Last Decade
R. C. Mullin
58 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 66
- Artificial Intelligence 734
- Electrical and Electronic Engineering 535
- Information Systems 459
- Computational Theory and Mathematics 293
- Discrete Mathematics and Combinatorics 267
Countries citing papers authored by R. C. Mullin
This map shows the geographic impact of R. C. Mullin'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 R. C. Mullin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. C. Mullin more than expected).
Fields of papers citing papers by R. C. Mullin
This network shows the impact of papers produced by R. C. Mullin. 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 R. C. Mullin. The network helps show where R. C. Mullin may publish in the future.
Co-authorship network of co-authors of R. C. Mullin
This figure shows the co-authorship network connecting the top 25 collaborators of R. C. Mullin. A scholar is included among the top collaborators of R. C. Mullin 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 R. C. Mullin. R. C. Mullin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 2 | |
| 3 | 15 | |
| 4 | 7 | |
| 5 | 197 | |
| 6 | 14 | |
| 7 | 34 | |
| 8 | 14 | |
| 9 | 18 | |
| 10 | 31 | |
| 11 | 19 | |
| 12 | 3 | |
| 13 | 80 | |
| 14 | 2 | |
| 15 | 25 | |
| 16 | 6 | |
| 17 | 10 | |
| 18 | 63 | |
| 19 | 2 | |
| 20 | 3 |
About R. C. Mullin
R. C. Mullin is a scholar working on Discrete Mathematics and Combinatorics, Management Science and Operations Research and Geometry and Topology, having authored 59 papers that have together received 1.3k indexed citations. Recurring topics across this work include graph theory and CDMA systems (30 papers), Optimal Experimental Design Methods (12 papers) and Finite Group Theory Research (10 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (267 citations), Artificial Intelligence (734 citations) and Information Systems (459 citations). R. C. Mullin has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Scott A. Vanstone, Gordon B. Agnew, I. Onyszchuk, W. D. Wallis, R. Wilson, P. J. Schellenberg, R. G. Stanton, W. H. Mills, Jane F. Gentleman and Douglas R. Stinson. Their work appears in journals such as Biometrics, Annals of the New York Academy of Sciences and IEEE Journal on Selected Areas in Communications.
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.