Arik Yochelis
- Computer Networks and Communications top 5%
- Statistical and Nonlinear Physics top 5%
- Molecular Biology
- Biomedical Engineering
- Atomic and Molecular Physics, and Optics
- Co-authors
- Nir GavishEdgar KnoblochAlan GarfinkelJohn BurkeE. MeroniNir S. GovAric HagbergMoshe Sheintuch
- Topics
- Nonlinear Dynamics and Pattern Formation (26 papers)stochastic dynamics and bifurcation (11 papers)Ionic liquids properties and applications (7 papers)
- Partner nations
- IsraelUnited StatesGermany
In The Last Decade
Arik Yochelis
47 papers receiving 855 citations
Peers
Comparison fields: 5 of 94
- Computer Networks and Communications 308
- Statistical and Nonlinear Physics 201
- Molecular Biology 163
- Biomedical Engineering 127
- Atomic and Molecular Physics, and Optics 105
Countries citing papers authored by Arik Yochelis
This map shows the geographic impact of Arik Yochelis'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 Arik Yochelis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arik Yochelis more than expected).
Fields of papers citing papers by Arik Yochelis
This network shows the impact of papers produced by Arik Yochelis. 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 Arik Yochelis. The network helps show where Arik Yochelis may publish in the future.
Co-authorship network of co-authors of Arik Yochelis
This figure shows the co-authorship network connecting the top 25 collaborators of Arik Yochelis. A scholar is included among the top collaborators of Arik Yochelis 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 Arik Yochelis. Arik Yochelis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 25 | |
| 2 | 10 | |
| 3 | The nonlinear initiation of side-branching by activator-inhibitor (Turing) morphogenesis | 1 |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 27 | |
| 7 | 1 | |
| 8 | From solvent free to dilute electrolytes: A unified continuum approach | 2 |
| 9 | 36 | |
| 10 | 16 | |
| 11 | 28 | |
| 12 | 4 | |
| 13 | 7 | |
| 14 | 113 | |
| 15 | 22 | |
| 16 | 43 | |
| 17 | 36 | |
| 18 | 11 | |
| 19 | 7 | |
| 20 | 2 |
About Arik Yochelis
Arik Yochelis is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Catalysis, having authored 48 papers that have together received 883 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (26 papers), stochastic dynamics and bifurcation (11 papers) and Ionic liquids properties and applications (7 papers). The work is most often cited by research in Electrochemistry (102 citations), Statistical and Nonlinear Physics (201 citations) and Computer Networks and Communications (308 citations). Arik Yochelis has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Nir Gavish, Edgar Knobloch, Alan Garfinkel, John Burke, E. Meroni, Nir S. Gov, Aric Hagberg, Moshe Sheintuch, Daisuke Sato and James N. Weiss. Their work appears in journals such as Physical Review Letters, Journal of Biological Chemistry and Nature 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.