Mojtaba Seyedhosseini
- Computer Vision and Pattern Recognition top 5%
- Biophysics top 2%
- Structural Biology top 2%
- Artificial Intelligence
- Molecular Biology
- Co-authors
- Tolga TaşdizenTing LiuMark H. EllismanMehdi S. M. SajjadiElizabeth JurrusÁlex PérezSatchidananda PandaThomas J. Deerinck
- Topics
- Cell Image Analysis Techniques (7 papers)Advanced Image and Video Retrieval Techniques (5 papers)Advanced Electron Microscopy Techniques and Applications (5 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceJournal of NeurophysiologyIEEE Transactions on Image Processing
- Partner nations
- United StatesCzechiaChina
In The Last Decade
Mojtaba Seyedhosseini
15 papers receiving 332 citations
Peers
Comparison fields: 5 of 79
- Computer Vision and Pattern Recognition 146
- Biophysics 140
- Structural Biology 80
- Artificial Intelligence 68
- Molecular Biology 58
Countries citing papers authored by Mojtaba Seyedhosseini
This map shows the geographic impact of Mojtaba Seyedhosseini'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 Mojtaba Seyedhosseini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mojtaba Seyedhosseini more than expected).
Fields of papers citing papers by Mojtaba Seyedhosseini
This network shows the impact of papers produced by Mojtaba Seyedhosseini. 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 Mojtaba Seyedhosseini. The network helps show where Mojtaba Seyedhosseini may publish in the future.
Co-authorship network of co-authors of Mojtaba Seyedhosseini
This figure shows the co-authorship network connecting the top 25 collaborators of Mojtaba Seyedhosseini. A scholar is included among the top collaborators of Mojtaba Seyedhosseini 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 Mojtaba Seyedhosseini. Mojtaba Seyedhosseini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 22 | |
| 3 | 37 | |
| 4 | 43 | |
| 5 | 50 | |
| 6 | 3 | |
| 7 | 17 | |
| 8 | 18 | |
| 9 | 49 | |
| 10 | 24 | |
| 11 | 8 | |
| 12 | Watershed Merge Tree Classification for Electron Microscopy Image Segmentation. | 31 |
| 13 | 24 | |
| 14 | 12 | |
| 15 | 2 |
About Mojtaba Seyedhosseini
Mojtaba Seyedhosseini is a scholar working on Structural Biology, Biophysics and Surfaces, Coatings and Films, having authored 15 papers that have together received 344 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (7 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Advanced Electron Microscopy Techniques and Applications (5 papers). The work is most often cited by research in Structural Biology (80 citations), Biophysics (140 citations) and Computer Vision and Pattern Recognition (146 citations). Mojtaba Seyedhosseini has collaborated with scholars based in United States, Czechia and China. Frequent co-authors include Tolga Taşdizen, Ting Liu, Mark H. Ellisman, Mehdi S. M. Sajjadi, Elizabeth Jurrus, Álex Pérez, Satchidananda Panda, Thomas J. Deerinck, Eric A. Bushong and Ting Liu. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Neurophysiology and IEEE Transactions on Image Processing.
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.