Erik M. Bollt
- Statistical and Nonlinear Physics top 0.2%
- Computer Networks and Communications top 1%
- Artificial Intelligence top 2%
- Molecular Biology
- Cognitive Neuroscience top 5%
- Co-authors
- Jie SunDaniel J. StilwellJames P. BagrowJoseph D. SkufcaMaurizio PorfiriD.G. RobersonDaniel ben‐AvrahamQianxiao Li
- Topics
- Chaos control and synchronization (46 papers)Nonlinear Dynamics and Pattern Formation (36 papers)Quantum chaos and dynamical systems (30 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Erik M. Bollt
153 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Statistical and Nonlinear Physics 2.0k
- Computer Networks and Communications 1.2k
- Artificial Intelligence 515
- Molecular Biology 437
- Cognitive Neuroscience 327
Countries citing papers authored by Erik M. Bollt
This map shows the geographic impact of Erik M. Bollt'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 Erik M. Bollt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erik M. Bollt more than expected).
Fields of papers citing papers by Erik M. Bollt
This network shows the impact of papers produced by Erik M. Bollt. 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 Erik M. Bollt. The network helps show where Erik M. Bollt may publish in the future.
Co-authorship network of co-authors of Erik M. Bollt
This figure shows the co-authorship network connecting the top 25 collaborators of Erik M. Bollt. A scholar is included among the top collaborators of Erik M. Bollt 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 Erik M. Bollt. Erik M. Bollt 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 | 5 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 7 | |
| 9 | 0 | |
| 10 | 1 | |
| 11 | 12 | |
| 12 | 27 | |
| 13 | 7 | |
| 14 | An Equal Space for Complex Data with Unknown Internal Order: Observability, Gauge Invariance and Manifold Learning | 1 |
| 15 | A 532 nm chaotic lidar transmitter for high resolution underwater ranging and imaging | 16 |
| 16 | 10 | |
| 17 | 24 | |
| 18 | 16 | |
| 19 | 76 | |
| 20 | 2 |
About Erik M. Bollt
Erik M. Bollt is a scholar working on Statistical and Nonlinear Physics, Mathematical Physics and Computer Networks and Communications, having authored 165 papers that have together received 3.8k indexed citations. Recurring topics across this work include Chaos control and synchronization (46 papers), Nonlinear Dynamics and Pattern Formation (36 papers) and Quantum chaos and dynamical systems (30 papers). The work is most often cited by research in Statistical and Nonlinear Physics (2.0k citations), Computer Networks and Communications (1.2k citations) and Mathematical Physics (271 citations). Erik M. Bollt has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Jie Sun, Daniel J. Stilwell, James P. Bagrow, Joseph D. Skufca, Maurizio Porfiri, D.G. Roberson, Daniel ben‐Avraham, Qianxiao Li, Felix Dietrich and Ioannis G. Kevrekidis. Their work appears in journals such as Physical Review Letters, PLoS ONE and Scientific Reports.
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.