Payam Pakzad
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Artificial Intelligence
- Molecular Biology
- Computational Theory and Mathematics
- Co-authors
- V. AnantharamE. YeoBorivoje NikolićDesmond S. LunChristina FragouliMuriel MédardVenkat AnantharamR. Koetter
- Topics
- Error Correcting Code Techniques (10 papers)Advanced Wireless Communication Techniques (5 papers)Bayesian Modeling and Causal Inference (3 papers)
- Cited by
- Computer Networks and CommunicationsElectrical and Electronic EngineeringArtificial Intelligence
- Journals
- IEEE Transactions on Information TheoryIEEE Transactions on CommunicationsNeural Computation
- Partner nations
- SwitzerlandUnited StatesFrance
In The Last Decade
Payam Pakzad
14 papers receiving 356 citations
Peers
Comparison fields: 5 of 29
- Computer Networks and Communications 352
- Electrical and Electronic Engineering 308
- Artificial Intelligence 69
- Molecular Biology 28
- Computational Theory and Mathematics 23
Countries citing papers authored by Payam Pakzad
This map shows the geographic impact of Payam Pakzad'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 Payam Pakzad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Payam Pakzad more than expected).
Fields of papers citing papers by Payam Pakzad
This network shows the impact of papers produced by Payam Pakzad. 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 Payam Pakzad. The network helps show where Payam Pakzad may publish in the future.
Co-authorship network of co-authors of Payam Pakzad
This figure shows the co-authorship network connecting the top 25 collaborators of Payam Pakzad. A scholar is included among the top collaborators of Payam Pakzad 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 Payam Pakzad. Payam Pakzad is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 7 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 65 | |
| 6 | 48 | |
| 7 | 14 | |
| 8 | 0 | |
| 9 | 13 | |
| 10 | 25 | |
| 11 | 2 | |
| 12 | Low complexity, high performance algorithms for estimation and decoding | 1 |
| 13 | 6 | |
| 14 | 108 | |
| 15 | 88 |
About Payam Pakzad
Payam Pakzad is a scholar working on Computer Networks and Communications, Computational Theory and Mathematics and Artificial Intelligence, having authored 15 papers that have together received 392 indexed citations. Recurring topics across this work include Error Correcting Code Techniques (10 papers), Advanced Wireless Communication Techniques (5 papers) and Bayesian Modeling and Causal Inference (3 papers). The work is most often cited by research in Computer Networks and Communications (352 citations), Electrical and Electronic Engineering (308 citations) and Artificial Intelligence (69 citations). Payam Pakzad has collaborated with scholars based in Switzerland, United States and France. Frequent co-authors include V. Anantharam, E. Yeo, Borivoje Nikolić, Desmond S. Lun, Christina Fragouli, Muriel Médard, Venkat Anantharam, R. Koetter, Amin Shokrollahi and Soheil Mohajer. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Transactions on Communications and Neural Computation.
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.