Javad Hamidzadeh
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications top 10%
- Information Systems top 10%
- Computational Theory and Mathematics top 5%
- Co-authors
- Reza MonsefiHadi Sadoghi YazdiMohammad AliannejadiMajid Vafaei JahanAhad HaratiMona Moradi
- Topics
- Machine Learning and Data Classification (13 papers)Imbalanced Data Classification Techniques (12 papers)Rough Sets and Fuzzy Logic (10 papers)
- Cited by
- Artificial IntelligenceComputer Vision and Pattern RecognitionComputational Theory and Mathematics
- Journals
- SHILAP Revista de lepidopterologíaPattern RecognitionNeurocomputing
- Partner nations
- IranNetherlands
In The Last Decade
Javad Hamidzadeh
41 papers receiving 584 citations
Peers
Comparison fields: 5 of 77
- Artificial Intelligence 418
- Computer Vision and Pattern Recognition 137
- Computer Networks and Communications 103
- Information Systems 102
- Computational Theory and Mathematics 94
Countries citing papers authored by Javad Hamidzadeh
This map shows the geographic impact of Javad Hamidzadeh'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 Javad Hamidzadeh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Javad Hamidzadeh more than expected).
Fields of papers citing papers by Javad Hamidzadeh
This network shows the impact of papers produced by Javad Hamidzadeh. 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 Javad Hamidzadeh. The network helps show where Javad Hamidzadeh may publish in the future.
Co-authorship network of co-authors of Javad Hamidzadeh
This figure shows the co-authorship network connecting the top 25 collaborators of Javad Hamidzadeh. A scholar is included among the top collaborators of Javad Hamidzadeh 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 Javad Hamidzadeh. Javad Hamidzadeh 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 | 2 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 11 | |
| 10 | 51 | |
| 11 | 10 | |
| 12 | 13 | |
| 13 | 8 | |
| 14 | 20 | |
| 15 | 19 | |
| 16 | 15 | |
| 17 | 28 | |
| 18 | 35 | |
| 19 | 9 | |
| 20 | 11 |
About Javad Hamidzadeh
Javad Hamidzadeh is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Information Systems, having authored 43 papers that have together received 607 indexed citations. Recurring topics across this work include Machine Learning and Data Classification (13 papers), Imbalanced Data Classification Techniques (12 papers) and Rough Sets and Fuzzy Logic (10 papers). The work is most often cited by research in Artificial Intelligence (418 citations), Computer Vision and Pattern Recognition (137 citations) and Computational Theory and Mathematics (94 citations). Javad Hamidzadeh has collaborated with scholars based in Iran and Netherlands. Frequent co-authors include Reza Monsefi, Hadi Sadoghi Yazdi, Mohammad Aliannejadi, Majid Vafaei Jahan, Ahad Harati and Mona Moradi. Their work appears in journals such as SHILAP Revista de lepidopterología, Pattern Recognition and Neurocomputing.
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.