Mahdi Cheraghchi
- Artificial Intelligence top 10%
- Molecular Biology
- Infectious Diseases
- Computer Networks and Communications top 10%
- Electrical and Electronic Engineering
- Co-authors
- Venkatesan GuruswamiAmin KarbasiSoheil MohajerVenkatesh SaligramaAmeya VelingkerAmin ShokrollahiPiotr IndykIsao Echizen
- Topics
- Advanced biosensing and bioanalysis techniques (15 papers)Cryptography and Data Security (14 papers)SARS-CoV-2 detection and testing (13 papers)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Mahdi Cheraghchi
43 papers receiving 344 citations
Peers
Comparison fields: 5 of 56
- Artificial Intelligence 144
- Molecular Biology 115
- Infectious Diseases 94
- Computer Networks and Communications 93
- Electrical and Electronic Engineering 73
Countries citing papers authored by Mahdi Cheraghchi
This map shows the geographic impact of Mahdi Cheraghchi'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 Mahdi Cheraghchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mahdi Cheraghchi more than expected).
Fields of papers citing papers by Mahdi Cheraghchi
This network shows the impact of papers produced by Mahdi Cheraghchi. 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 Mahdi Cheraghchi. The network helps show where Mahdi Cheraghchi may publish in the future.
Co-authorship network of co-authors of Mahdi Cheraghchi
This figure shows the co-authorship network connecting the top 25 collaborators of Mahdi Cheraghchi. A scholar is included among the top collaborators of Mahdi Cheraghchi 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 Mahdi Cheraghchi. Mahdi Cheraghchi 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 | One-way Functions and Partial MCSP. | 2 |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 11 | |
| 8 | 3 | |
| 9 | 12 | |
| 10 | 5 | |
| 11 | 8 | |
| 12 | 9 | |
| 13 | 12 | |
| 14 | Restricted Isometry of Fourier Matrices and List Decodability of Random Linear Codes | 26 |
| 15 | 17 | |
| 16 | 4 | |
| 17 | 5 | |
| 18 | 7 | |
| 19 | On Matrix Rigidity and the Complexity of Linear Forms | 2 |
| 20 | Locally Testable Codes | 0 |
About Mahdi Cheraghchi
Mahdi Cheraghchi is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Infectious Diseases, having authored 47 papers that have together received 355 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (15 papers), Cryptography and Data Security (14 papers) and SARS-CoV-2 detection and testing (13 papers). The work is most often cited by research in Infectious Diseases (94 citations), Artificial Intelligence (144 citations) and Computer Networks and Communications (93 citations). Mahdi Cheraghchi has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Venkatesan Guruswami, Amin Karbasi, Soheil Mohajer, Venkatesh Saligrama, Ameya Velingker, Amin Shokrollahi, Piotr Indyk, Isao Echizen, Ali Hormati and Martin Vetterli. Their work appears in journals such as IEEE Transactions on Information Theory, Journal of the ACM and SIAM Journal on 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.