Amir Soleimani
- Computer Vision and Pattern Recognition top 5%
- Media Technology top 5%
- Artificial Intelligence
- Information Systems
- Signal Processing
- Co-authors
- Babak Nadjar AraabiNasser M. NasrabadiChristof MonzMarcel WorringSimon MaskellJe Young KimMaciej MikulskiMartin Axelsson
- Topics
- Natural Language Processing Techniques (4 papers)Advanced Combustion Engine Technologies (4 papers)Handwritten Text Recognition Techniques (3 papers)
- Journals
- Applied EnergyInternational Journal of Hydrogen EnergySAE technical papers on CD-ROM/SAE technical paper series
- Partner nations
- FinlandNetherlandsIran
In The Last Decade
Amir Soleimani
10 papers receiving 216 citations
Peers
Comparison fields: 5 of 25
- Computer Vision and Pattern Recognition 207
- Media Technology 101
- Artificial Intelligence 84
- Information Systems 12
- Signal Processing 11
Countries citing papers authored by Amir Soleimani
This map shows the geographic impact of Amir Soleimani'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 Amir Soleimani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amir Soleimani more than expected).
Fields of papers citing papers by Amir Soleimani
This network shows the impact of papers produced by Amir Soleimani. 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 Amir Soleimani. The network helps show where Amir Soleimani may publish in the future.
Co-authorship network of co-authors of Amir Soleimani
This figure shows the co-authorship network connecting the top 25 collaborators of Amir Soleimani. A scholar is included among the top collaborators of Amir Soleimani 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 Amir Soleimani. Amir Soleimani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 4 | |
| 6 | 7 | |
| 7 | Longformer for MS MARCO Document Re-ranking Task | 1 |
| 8 | 7 | |
| 9 | 15 | |
| 10 | 17 | |
| 11 | 110 | |
| 12 | 63 |
About Amir Soleimani
Amir Soleimani is a scholar working on Fluid Flow and Transfer Processes, Automotive Engineering and Computer Vision and Pattern Recognition, having authored 12 papers that have together received 228 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (4 papers), Advanced Combustion Engine Technologies (4 papers) and Handwritten Text Recognition Techniques (3 papers). The work is most often cited by research in Media Technology (101 citations), Computer Vision and Pattern Recognition (207 citations) and Artificial Intelligence (84 citations). Amir Soleimani has collaborated with scholars based in Finland, Netherlands and Iran. Frequent co-authors include Babak Nadjar Araabi, Nasser M. Nasrabadi, Christof Monz, Marcel Worring, Simon Maskell, Je Young Kim, Maciej Mikulski, Martin Axelsson, Jason F. Ralph and Mohammad Aliannejadi. Their work appears in journals such as Applied Energy, International Journal of Hydrogen Energy and SAE technical papers on CD-ROM/SAE technical paper series.
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.