Mehrdad Khani
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Signal Processing top 10%
- Co-authors
- Vibhaalakshmi SivaramanMohammad AlizadehPrateesh GoyalKeren BergmanManya GhobadiEiman EbrahimiAmin VahdatMadeleine Glick
- Topics
- Advanced Wireless Communication Techniques (2 papers)Wireless Signal Modulation Classification (2 papers)Image and Signal Denoising Methods (1 paper)
- Cited by
- Signal ProcessingComputer Vision and Pattern RecognitionComputer Networks and Communications
- Journals
- 2021 IEEE/CVF International Conference on Computer Vision (ICCV)DSpace@MIT (Massachusetts Institute of Technology)
- Partner nations
- FinlandUnited States
In The Last Decade
Mehrdad Khani
6 papers receiving 332 citations
Peers
Comparison fields: 5 of 33
- Electrical and Electronic Engineering 194
- Artificial Intelligence 129
- Computer Networks and Communications 102
- Computer Vision and Pattern Recognition 92
- Signal Processing 49
Countries citing papers authored by Mehrdad Khani
This map shows the geographic impact of Mehrdad Khani'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 Mehrdad Khani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mehrdad Khani more than expected).
Fields of papers citing papers by Mehrdad Khani
This network shows the impact of papers produced by Mehrdad Khani. 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 Mehrdad Khani. The network helps show where Mehrdad Khani may publish in the future.
Co-authorship network of co-authors of Mehrdad Khani
This figure shows the co-authorship network connecting the top 25 collaborators of Mehrdad Khani. A scholar is included among the top collaborators of Mehrdad Khani 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 Mehrdad Khani. Mehrdad Khani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 29 | |
| 2 | 55 | |
| 3 | 29 | |
| 4 | 1 | |
| 5 | Adaptive Neural Signal Detection for Massive MIMO | 175 |
| 6 | 51 |
About Mehrdad Khani
Mehrdad Khani is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 6 papers that have together received 340 indexed citations. Recurring topics across this work include Advanced Wireless Communication Techniques (2 papers), Wireless Signal Modulation Classification (2 papers) and Image and Signal Denoising Methods (1 paper). The work is most often cited by research in Signal Processing (49 citations), Computer Vision and Pattern Recognition (92 citations) and Computer Networks and Communications (102 citations). Mehrdad Khani has collaborated with scholars based in Finland and United States. Frequent co-authors include Vibhaalakshmi Sivaraman, Mohammad Alizadeh, Mohammad Alizadeh, Prateesh Goyal, Keren Bergman, Manya Ghobadi, Eiman Ebrahimi, Amin Vahdat, Madeleine Glick and Mohammad Reza Alizadeh. Their work appears in journals such as 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and DSpace@MIT (Massachusetts Institute of Technology).
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.