Mohammad Hosseini
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 5%
- Computer Networks and Communications top 10%
- Sociology and Political Science
- Electrical and Electronic Engineering
- Co-authors
- Viswanathan SwaminathanStefano PetrangeliFilip De TurckLui ShaShervin ShirmohammadiYu JiangJoseph G. PetersJiaguang Sun
- Topics
- Image and Video Quality Assessment (8 papers)Video Coding and Compression Technologies (5 papers)Healthcare Technology and Patient Monitoring (5 papers)
- Cited by
- Signal ProcessingComputer Vision and Pattern RecognitionComputer Networks and Communications
- Journals
- International Journal of Environmental Research and Public HealthSustainable Cities and SocietyIEEE Transactions on Multimedia
- Partner nations
- United StatesIranChina
In The Last Decade
Mohammad Hosseini
27 papers receiving 393 citations
Peers
Comparison fields: 5 of 79
- Computer Vision and Pattern Recognition 271
- Signal Processing 194
- Computer Networks and Communications 84
- Sociology and Political Science 72
- Electrical and Electronic Engineering 32
Countries citing papers authored by Mohammad Hosseini
This map shows the geographic impact of Mohammad Hosseini'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 Mohammad Hosseini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Hosseini more than expected).
Fields of papers citing papers by Mohammad Hosseini
This network shows the impact of papers produced by Mohammad Hosseini. 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 Mohammad Hosseini. The network helps show where Mohammad Hosseini may publish in the future.
Co-authorship network of co-authors of Mohammad Hosseini
This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Hosseini. A scholar is included among the top collaborators of Mohammad Hosseini 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 Mohammad Hosseini. Mohammad Hosseini 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 | 12 | |
| 3 | 19 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 118 | |
| 9 | 5 | |
| 10 | 64 | |
| 11 | 32 | |
| 12 | 9 | |
| 13 | 4 | |
| 14 | 23 | |
| 15 | 38 | |
| 16 | 4 | |
| 17 | 3 | |
| 18 | 1 | |
| 19 | 3 | |
| 20 | 8 |
About Mohammad Hosseini
Mohammad Hosseini is a scholar working on Health Information Management, Computer Vision and Pattern Recognition and Signal Processing, having authored 28 papers that have together received 396 indexed citations. Recurring topics across this work include Image and Video Quality Assessment (8 papers), Video Coding and Compression Technologies (5 papers) and Healthcare Technology and Patient Monitoring (5 papers). The work is most often cited by research in Signal Processing (194 citations), Computer Vision and Pattern Recognition (271 citations) and Computer Networks and Communications (84 citations). Mohammad Hosseini has collaborated with scholars based in United States, Iran and China. Frequent co-authors include Viswanathan Swaminathan, Stefano Petrangeli, Filip De Turck, Lui Sha, Shervin Shirmohammadi, Yu Jiang, Joseph G. Peters, Jiaguang Sun, Gregorij Kurillo and Richard B. Berlin. Their work appears in journals such as International Journal of Environmental Research and Public Health, Sustainable Cities and Society and IEEE Transactions on Multimedia.
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.