Hadi Zare
- Artificial Intelligence top 10%
- Statistical and Nonlinear Physics top 5%
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Computer Networks and Communications
- Co-authors
- Soheila MolaeiHadi VeisiMehdi GhateeMahdi JaliliParham MoradiHossein BobarshadMehdi TeimouriShirui Pan
- Topics
- Complex Network Analysis Techniques (10 papers)Advanced Graph Neural Networks (10 papers)Opinion Dynamics and Social Influence (6 papers)
- Cited by
- Statistical and Nonlinear PhysicsArtificial IntelligenceComputer Vision and Pattern Recognition
- Journals
- Expert Systems with ApplicationsIEEE AccessIEEE Transactions on Neural Networks and Learning Systems
- Partner nations
- IranAustraliaUnited Kingdom
In The Last Decade
Hadi Zare
27 papers receiving 302 citations
Peers
Comparison fields: 5 of 65
- Artificial Intelligence 190
- Statistical and Nonlinear Physics 109
- Computer Vision and Pattern Recognition 68
- Information Systems 57
- Computer Networks and Communications 36
Countries citing papers authored by Hadi Zare
This map shows the geographic impact of Hadi Zare'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 Hadi Zare with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hadi Zare more than expected).
Fields of papers citing papers by Hadi Zare
This network shows the impact of papers produced by Hadi Zare. 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 Hadi Zare. The network helps show where Hadi Zare may publish in the future.
Co-authorship network of co-authors of Hadi Zare
This figure shows the co-authorship network connecting the top 25 collaborators of Hadi Zare. A scholar is included among the top collaborators of Hadi Zare 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 Hadi Zare. Hadi Zare is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 20 | |
| 6 | 9 | |
| 7 | 13 | |
| 8 | 2 | |
| 9 | 14 | |
| 10 | 11 | |
| 11 | 6 | |
| 12 | 2 | |
| 13 | 15 | |
| 14 | 17 | |
| 15 | 40 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | 18 | |
| 19 | 15 | |
| 20 | 2 |
About Hadi Zare
Hadi Zare is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Transportation, having authored 28 papers that have together received 309 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (10 papers), Advanced Graph Neural Networks (10 papers) and Opinion Dynamics and Social Influence (6 papers). The work is most often cited by research in Statistical and Nonlinear Physics (109 citations), Artificial Intelligence (190 citations) and Computer Vision and Pattern Recognition (68 citations). Hadi Zare has collaborated with scholars based in Iran, Australia and United Kingdom. Frequent co-authors include Soheila Molaei, Hadi Veisi, Mehdi Ghatee, Mahdi Jalili, Parham Moradi, Hossein Bobarshad, Mehdi Teimouri, Shirui Pan, David A. Clifton and Sasan H. Alizadeh. Their work appears in journals such as Expert Systems with Applications, IEEE Access and IEEE Transactions on Neural Networks and Learning Systems.
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.