Erfan Nozari
- Artificial Intelligence top 10%
- Cognitive Neuroscience top 10%
- Computer Networks and Communications top 10%
- Statistical and Nonlinear Physics top 10%
- Electrical and Electronic Engineering
- Co-authors
- Jorge CortésPavankumar TallapragadaGeorge J. PappasJason Z. KimDanielle S. BassettZhixin LuFabio PasqualettiJennifer Stiso
- Topics
- Neural dynamics and brain function (10 papers)Nonlinear Dynamics and Pattern Formation (6 papers)stochastic dynamics and bifurcation (5 papers)
- Cited by
- Cognitive NeuroscienceStatistical and Nonlinear PhysicsComputer Networks and Communications
- Partner nations
- United StatesNetherlandsGermany
In The Last Decade
Erfan Nozari
20 papers receiving 332 citations
Peers
Comparison fields: 5 of 67
- Artificial Intelligence 134
- Cognitive Neuroscience 131
- Computer Networks and Communications 116
- Statistical and Nonlinear Physics 67
- Electrical and Electronic Engineering 52
Countries citing papers authored by Erfan Nozari
This map shows the geographic impact of Erfan Nozari'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 Erfan Nozari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erfan Nozari more than expected).
Fields of papers citing papers by Erfan Nozari
This network shows the impact of papers produced by Erfan Nozari. 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 Erfan Nozari. The network helps show where Erfan Nozari may publish in the future.
Co-authorship network of co-authors of Erfan Nozari
This figure shows the co-authorship network connecting the top 25 collaborators of Erfan Nozari. A scholar is included among the top collaborators of Erfan Nozari 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 Erfan Nozari. Erfan Nozari 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 | 0 | |
| 3 | 5 | |
| 4 | 48 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 5 | |
| 10 | 9 | |
| 11 | 33 | |
| 12 | 12 | |
| 13 | 8 | |
| 14 | 3 | |
| 15 | 0 | |
| 16 | 13 | |
| 17 | Time-Varying Actuator Scheduling in Complex Networks. | 4 |
| 18 | 30 | |
| 19 | 3 | |
| 20 | 55 |
About Erfan Nozari
Erfan Nozari is a scholar working on Statistical and Nonlinear Physics, Cognitive Neuroscience and Computer Networks and Communications, having authored 22 papers that have together received 336 indexed citations. Recurring topics across this work include Neural dynamics and brain function (10 papers), Nonlinear Dynamics and Pattern Formation (6 papers) and stochastic dynamics and bifurcation (5 papers). The work is most often cited by research in Cognitive Neuroscience (131 citations), Statistical and Nonlinear Physics (67 citations) and Computer Networks and Communications (116 citations). Erfan Nozari has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Jorge Cortés, Pavankumar Tallapragada, George J. Pappas, Jason Z. Kim, Danielle S. Bassett, Zhixin Lu, Fabio Pasqualetti, Jennifer Stiso, Xiaosong He and Dani S. Bassett. Their work appears in journals such as Automatica, Nature Biomedical Engineering and Frontiers in Cellular Neuroscience.
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.