Saeed Masoudnia
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Management Science and Operations Research top 10%
- Electrical and Electronic Engineering
- Signal Processing
- Co-authors
- Reza EbrahimpourMohammad Sajjad GhaemiMohammad Reza YousefiAbdol‐Hossein VahabieMajid Nili AhmadabadiBabak Nadjar AraabiMohammad Amin SadeghiAlireza Mirbagheri
- Topics
- Face and Expression Recognition (6 papers)Brain Tumor Detection and Classification (4 papers)Neural Networks and Applications (4 papers)
- Cited by
- Artificial IntelligenceComputer Vision and Pattern RecognitionManagement Science and Operations Research
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsBioMed Research International
- Partner nations
- IranNetherlandsAustralia
In The Last Decade
Saeed Masoudnia
17 papers receiving 431 citations
Peers
Comparison fields: 5 of 91
- Artificial Intelligence 216
- Computer Vision and Pattern Recognition 129
- Management Science and Operations Research 58
- Electrical and Electronic Engineering 37
- Signal Processing 36
Countries citing papers authored by Saeed Masoudnia
This map shows the geographic impact of Saeed Masoudnia'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 Saeed Masoudnia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saeed Masoudnia more than expected).
Fields of papers citing papers by Saeed Masoudnia
This network shows the impact of papers produced by Saeed Masoudnia. 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 Saeed Masoudnia. The network helps show where Saeed Masoudnia may publish in the future.
Co-authorship network of co-authors of Saeed Masoudnia
This figure shows the co-authorship network connecting the top 25 collaborators of Saeed Masoudnia. A scholar is included among the top collaborators of Saeed Masoudnia 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 Saeed Masoudnia. Saeed Masoudnia 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 | 6 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 4 | |
| 7 | 5 | |
| 8 | 40 | |
| 9 | 2 | |
| 10 | 12 | |
| 11 | 280 | |
| 12 | 1 | |
| 13 | 17 | |
| 14 | 10 | |
| 15 | 3 | |
| 16 | 6 | |
| 17 | 1 | |
| 18 | 1 | |
| 19 | 53 |
About Saeed Masoudnia
Saeed Masoudnia is a scholar working on Computer Vision and Pattern Recognition, Neurology and Artificial Intelligence, having authored 19 papers that have together received 444 indexed citations. Recurring topics across this work include Face and Expression Recognition (6 papers), Brain Tumor Detection and Classification (4 papers) and Neural Networks and Applications (4 papers). The work is most often cited by research in Artificial Intelligence (216 citations), Computer Vision and Pattern Recognition (129 citations) and Management Science and Operations Research (58 citations). Saeed Masoudnia has collaborated with scholars based in Iran, Netherlands and Australia. Frequent co-authors include Reza Ebrahimpour, Mohammad Sajjad Ghaemi, Mohammad Reza Yousefi, Abdol‐Hossein Vahabie, Majid Nili Ahmadabadi, Babak Nadjar Araabi, Mohammad Amin Sadeghi, Alireza Mirbagheri, Seyed Naser Hashemi and Alireza Ahmadian. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and BioMed Research International.
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.