Kevin E. Bassler
- Statistical and Nonlinear Physics top 0.5%
- Condensed Matter Physics top 2%
- Computer Networks and Communications top 2%
- Molecular Biology
- Economics and Econometrics top 5%
- Co-authors
- Zoltán ToroczkaiBogdan DanilaMaya PaczuskiJohn A. MarshYong YuGemunu H. GunaratneCharo I. del GenioJoseph L. McCauley
- Topics
- Theoretical and Computational Physics (32 papers)Complex Network Analysis Techniques (22 papers)Complex Systems and Time Series Analysis (17 papers)
- Cited by
- Statistical and Nonlinear PhysicsCondensed Matter PhysicsComputer Networks and Communications
- Partner nations
- United StatesGermanySri Lanka
In The Last Decade
Kevin E. Bassler
80 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 138
- Statistical and Nonlinear Physics 1.1k
- Condensed Matter Physics 473
- Computer Networks and Communications 471
- Molecular Biology 333
- Economics and Econometrics 290
Countries citing papers authored by Kevin E. Bassler
This map shows the geographic impact of Kevin E. Bassler'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 Kevin E. Bassler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin E. Bassler more than expected).
Fields of papers citing papers by Kevin E. Bassler
This network shows the impact of papers produced by Kevin E. Bassler. 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 Kevin E. Bassler. The network helps show where Kevin E. Bassler may publish in the future.
Co-authorship network of co-authors of Kevin E. Bassler
This figure shows the co-authorship network connecting the top 25 collaborators of Kevin E. Bassler. A scholar is included among the top collaborators of Kevin E. Bassler 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 Kevin E. Bassler. Kevin E. Bassler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 10 | |
| 3 | 4 | |
| 4 | Anomalous diffusion and the Moses effect in an aging deterministic model | 11 |
| 5 | A Regulatory Network Analysis of Orphan Genes in Arabidopsis Thaliana | 1 |
| 6 | Sampling networks with prescribed degree correlations | 2 |
| 7 | 13 | |
| 8 | 1 | |
| 9 | 103 | |
| 10 | Nonstationary Increments, Scaling Distributions, and Variable Diffusion Processes in Financial Markets | 5 |
| 11 | Finance Market Dynamics with Option Pricing | 2 |
| 12 | 25 | |
| 13 | 176 | |
| 14 | 5 | |
| 15 | 44 | |
| 16 | Hurst exponents, Markov processes, and nonlinear diffusion equations | 7 |
| 17 | 14 | |
| 18 | 24 | |
| 19 | 10 | |
| 20 | 21 |
About Kevin E. Bassler
Kevin E. Bassler is a scholar working on Condensed Matter Physics, Statistical and Nonlinear Physics and Mathematical Physics, having authored 82 papers that have together received 2.2k indexed citations. Recurring topics across this work include Theoretical and Computational Physics (32 papers), Complex Network Analysis Techniques (22 papers) and Complex Systems and Time Series Analysis (17 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.1k citations), Condensed Matter Physics (473 citations) and Computer Networks and Communications (471 citations). Kevin E. Bassler has collaborated with scholars based in United States, Germany and Sri Lanka. Frequent co-authors include Zoltán Toroczkai, Bogdan Danila, Maya Paczuski, John A. Marsh, Yong Yu, Gemunu H. Gunaratne, Charo I. del Genio, Joseph L. McCauley, D. A. Browne and G. Korniss. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Physical Review 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.