Nima Mahmoudi
- Computer Networks and Communications top 10%
- Information Systems top 5%
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Safety, Risk, Reliability and Quality top 10%
- Co-authors
- Hamzeh KhazaeiMohammad RahmatiSeyed Mohammad AhadiCaixiang FanMarin LitoiuOmid ArdakanianAlireza GoliReza Javanmard Alitappeh
- Topics
- Cloud Computing and Resource Management (7 papers)Software System Performance and Reliability (4 papers)IoT and Edge/Fog Computing (3 papers)
- Cited by
- Computer Networks and CommunicationsComputer Vision and Pattern RecognitionInformation Systems
In The Last Decade
Nima Mahmoudi
9 papers receiving 243 citations
Peers
Comparison fields: 5 of 43
- Computer Networks and Communications 119
- Information Systems 114
- Computer Vision and Pattern Recognition 105
- Artificial Intelligence 36
- Safety, Risk, Reliability and Quality 27
Countries citing papers authored by Nima Mahmoudi
This map shows the geographic impact of Nima Mahmoudi'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 Nima Mahmoudi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nima Mahmoudi more than expected).
Fields of papers citing papers by Nima Mahmoudi
This network shows the impact of papers produced by Nima Mahmoudi. 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 Nima Mahmoudi. The network helps show where Nima Mahmoudi may publish in the future.
Co-authorship network of co-authors of Nima Mahmoudi
This figure shows the co-authorship network connecting the top 25 collaborators of Nima Mahmoudi. A scholar is included among the top collaborators of Nima Mahmoudi 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 Nima Mahmoudi. Nima Mahmoudi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 18 | |
| 3 | 14 | |
| 4 | 11 | |
| 5 | 3 | |
| 6 | 12 | |
| 7 | 57 | |
| 8 | Optimizing serverless computing: introducing an adaptive function placement algorithm. | 15 |
| 9 | 117 |
About Nima Mahmoudi
Nima Mahmoudi is a scholar working on Information Systems, Computer Networks and Communications and Hardware and Architecture, having authored 9 papers that have together received 248 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (7 papers), Software System Performance and Reliability (4 papers) and IoT and Edge/Fog Computing (3 papers). The work is most often cited by research in Computer Networks and Communications (119 citations), Computer Vision and Pattern Recognition (105 citations) and Information Systems (114 citations). Nima Mahmoudi has collaborated with scholars based in Canada and Iran. Frequent co-authors include Hamzeh Khazaei, Mohammad Rahmati, Seyed Mohammad Ahadi, Caixiang Fan, Marin Litoiu, Omid Ardakanian, Alireza Goli, Reza Javanmard Alitappeh and Mohammad Reza Jafari. Their work appears in journals such as IEEE Transactions on Parallel and Distributed Systems, Multimedia Tools and Applications and IEEE Transactions on Cloud Computing.
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.