Ali Zarezade
Impact in
-
- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
Papers in
-
- Machine Learning and Algorithms 3
- Machine Learning and Data Classification 2
- Machine Learning and ELM 2
-
- Complex Network Analysis Techniques 3
- Opinion Dynamics and Social Influence 2
- Co-authors
- Manuel Gomez-Rodriguez (4 shared papers)Utkarsh Upadhyay (3 shared papers)Abir De (4 shared papers)Hamid R. Rabiee (5 shared papers)Bernhard Schölkopf (1 shared paper)Behzad Tabibian (1 shared paper)Hongyuan Zha (1 shared paper)Mehrdad Farajtabar (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Machine Learning Research (1 paper)IEEE Geoscience and Remote Sensing Letters (1 paper)PLoS ONE (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (2 papers)
In The Last Decade
Ali Zarezade
8 papers receiving 169 citations
Peers
Comparison fields: 5 of 74
- Statistical and Nonlinear Physics 39
- Health Informatics 4
- Computer Science Applications 15
- Transportation 14
- Computational Mathematics 1
Countries citing papers authored by Ali Zarezade
This map shows the geographic impact of Ali Zarezade'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 Ali Zarezade with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ali Zarezade more than expected).
Fields of papers citing papers by Ali Zarezade
This network shows the impact of papers produced by Ali Zarezade. 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 Ali Zarezade. The network helps show where Ali Zarezade may publish in the future.
Co-authors
The 9 scholars most cited alongside Ali Zarezade, 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 | 2019 | 92 | |
| 2 | 2017 | 27 | |
| 3 | 2017 | 18 | |
| 4 | 2021 | 13 | |
| 5 | 2017 | 12 | |
| 6 | Steering Social Activity: A Stochastic Optimal Control Point Of View | 2018 | 11 |
| 7 | 2018 | 5 | |
| 8 | 2021 | 2 |
About Ali Zarezade
Ali Zarezade is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Computer Networks and Communications, Molecular Biology and Signal Processing, having authored 8 papers that have together received 180 indexed citations. Recurring topics across this work include Machine Learning and Algorithms (3 papers), Complex Network Analysis Techniques (3 papers), Machine Learning and Data Classification (2 papers), Machine Learning and ELM (2 papers), Opinion Dynamics and Social Influence (2 papers), Advanced Image Fusion Techniques (1 paper), Point processes and geometric inequalities (1 paper) and Remote-Sensing Image Classification (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (39 citations), Health Informatics (4 citations), Computer Science Applications (15 citations), Transportation (14 citations) and Computational Mathematics (1 citation). Ali Zarezade has collaborated with scholars based in Germany, Iran and India. Frequent co-authors include Manuel Gomez-Rodriguez, Utkarsh Upadhyay, Abir De, Hamid R. Rabiee, Bernhard Schölkopf, Behzad Tabibian, Hongyuan Zha, Mehrdad Farajtabar and Ali Soltani-Farani. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Machine Learning Research, IEEE Geoscience and Remote Sensing Letters, PLoS ONE and Proceedings of the AAAI Conference on Artificial Intelligence.
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.