John Asplund
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
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- Coding theory and cryptography 6
-
- graph theory and CDMA systems 7
- Co-authors
- Nicoleta Serban (4 shared papers)Buse Eylul Oruc (3 shared papers)Arden Baxter (3 shared papers)Pınar Keskinocak (3 shared papers)C. A. Rodger (2 shared papers)William J. Curran (1 shared paper)Łászló A. Székely (2 shared papers)G. J. Clark (1 shared paper)
- Journals
- Discrete Mathematics (5 papers)Journal of Combinatorial Designs (3 papers)BMC Public Health (2 papers)Journal of the American Academy of Child & Adolescent Psychiatry (1 paper)Discrete Applied Mathematics (1 paper)
- Partner nations
- United StatesSouth AfricaFrance
In The Last Decade
John Asplund
12 papers receiving 85 citations
Peers
Comparison fields: 5 of 38
- Modeling and Simulation 57
- Discrete Mathematics and Combinatorics 10
- Health 15
- Infectious Diseases 16
- Economics and Econometrics 16
Countries citing papers authored by John Asplund
This map shows the geographic impact of John Asplund'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 John Asplund with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Asplund more than expected).
Fields of papers citing papers by John Asplund
This network shows the impact of papers produced by John Asplund. 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 John Asplund. The network helps show where John Asplund may publish in the future.
Co-authors
The 12 scholars most cited alongside John Asplund, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 44 | |
| 2 | 2022 | 15 | |
| 3 | 2021 | 13 | |
| 4 | 2013 | 5 | |
| 5 | 2016 | 4 | |
| 6 | 2021 | 2 | |
| 7 | 2022 | 1 | |
| 8 | 2015 | 1 | |
| 9 | 2015 | 1 | |
| 10 | 2011 | 1 | |
| 11 | 2022 | 1 | |
| 12 | 2018 | 1 | |
| 13 | 2018 | 0 | |
| 14 | 2019 | 0 | |
| 15 | 2019 | 0 | |
| 16 | 2022 | 0 | |
| 17 | 2019 | 0 |
About John Asplund
John Asplund is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Computational Theory and Mathematics, Discrete Mathematics and Combinatorics and Clinical Psychology, having authored 17 papers that have together received 89 indexed citations. Recurring topics across this work include graph theory and CDMA systems (7 papers), Coding theory and cryptography (6 papers), Graph Labeling and Dimension Problems (4 papers), COVID-19 epidemiological studies (3 papers), COVID-19 Pandemic Impacts (3 papers), Advanced Graph Theory Research (3 papers), Finite Group Theory Research (2 papers) and Limits and Structures in Graph Theory (2 papers). The work is most often cited by research in Modeling and Simulation (57 citations), Discrete Mathematics and Combinatorics (10 citations), Health (15 citations), Infectious Diseases (16 citations) and Economics and Econometrics (16 citations). John Asplund has collaborated with scholars based in United States, South Africa and France. Frequent co-authors include Nicoleta Serban, Buse Eylul Oruc, Arden Baxter, Pınar Keskinocak, C. A. Rodger, William J. Curran, Łászló A. Székely, G. J. Clark, Pierre Charbit and Janet R. Cummings. Their work appears in journals such as Discrete Mathematics, Journal of Combinatorial Designs, BMC Public Health, Journal of the American Academy of Child & Adolescent Psychiatry and Discrete Applied Mathematics.
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.