Saeid Iranmanesh
- Aerospace Engineering top 5%
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Artificial Intelligence
- Information Systems
- Co-authors
- Raad RaadFaisel TubbalPanagiotis Ioannis TheoharisAbbas JamalipourForough Shirin AbkenarKwan‐Wu ChinTony JanParisa Ramezani
- Topics
- Opportunistic and Delay-Tolerant Networks (15 papers)Mobile Ad Hoc Networks (11 papers)Caching and Content Delivery (9 papers)
In The Last Decade
Saeid Iranmanesh
30 papers receiving 507 citations
Peers
Comparison fields: 5 of 64
- Aerospace Engineering 250
- Computer Networks and Communications 226
- Electrical and Electronic Engineering 162
- Artificial Intelligence 37
- Information Systems 35
Countries citing papers authored by Saeid Iranmanesh
This map shows the geographic impact of Saeid Iranmanesh'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 Saeid Iranmanesh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saeid Iranmanesh more than expected).
Fields of papers citing papers by Saeid Iranmanesh
This network shows the impact of papers produced by Saeid Iranmanesh. 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 Saeid Iranmanesh. The network helps show where Saeid Iranmanesh may publish in the future.
Co-authorship network of co-authors of Saeid Iranmanesh
This figure shows the co-authorship network connecting the top 25 collaborators of Saeid Iranmanesh. A scholar is included among the top collaborators of Saeid Iranmanesh 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 Saeid Iranmanesh. Saeid Iranmanesh 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 | 4 | |
| 3 | 14 | |
| 4 | 3 | |
| 5 | 5 | |
| 6 | 2 | |
| 7 | 62 | |
| 8 | 12 | |
| 9 | 0 | |
| 10 | 28 | |
| 11 | 37 | |
| 12 | 6 | |
| 13 | 1 | |
| 14 | 23 | |
| 15 | 11 | |
| 16 | 6 | |
| 17 | 14 | |
| 18 | 2 | |
| 19 | Data management in delay tolerant networks | 2 |
| 20 | A differential adaptive learning rate method for back-propagation neural networks | 26 |
About Saeid Iranmanesh
Saeid Iranmanesh is a scholar working on Computer Networks and Communications, Aerospace Engineering and Transportation, having authored 32 papers that have together received 525 indexed citations. Recurring topics across this work include Opportunistic and Delay-Tolerant Networks (15 papers), Mobile Ad Hoc Networks (11 papers) and Caching and Content Delivery (9 papers). The work is most often cited by research in Aerospace Engineering (250 citations), Computer Networks and Communications (226 citations) and Transportation (19 citations). Saeid Iranmanesh has collaborated with scholars based in Australia, Iran and Libya. Frequent co-authors include Raad Raad, Faisel Tubbal, Panagiotis Ioannis Theoharis, Abbas Jamalipour, Forough Shirin Abkenar, Kwan‐Wu Chin, Tony Jan, Parisa Ramezani, Muhammad Usman Ali Khan and Ladislau Matekovits. Their work appears in journals such as Scientific Reports, IEEE Communications Surveys & Tutorials and IEEE Access.
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.