Payam Pakzad

20 total papers · 556 total citations
15 papers, 392 citations indexed

About

Payam Pakzad is a scholar working on Computer Networks and Communications, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Payam Pakzad has authored 15 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Networks and Communications, 8 papers in Artificial Intelligence and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Payam Pakzad's work include Error Correcting Code Techniques (10 papers), Advanced Wireless Communication Techniques (5 papers) and Cooperative Communication and Network Coding (3 papers). Payam Pakzad is often cited by papers focused on Error Correcting Code Techniques (10 papers), Advanced Wireless Communication Techniques (5 papers) and Cooperative Communication and Network Coding (3 papers). Payam Pakzad collaborates with scholars based in United States, Switzerland and France. Payam Pakzad's co-authors include V. Anantharam, E. Yeo, Borivoje Nikolić, Desmond S. Lun, Christina Fragouli, Muriel Médard, Venkat Anantharam, R. Koetter, Amin Shokrollahi and Kaushal Kumar and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Transactions on Communications and Neural Computation.

In The Last Decade

Payam Pakzad

14 papers receiving 356 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Payam Pakzad	351	307	69	28	23	15	392
J. Zhang	337 1.0×	307 1.0×	103 1.5×	48 1.7×	34 1.5×	12	410
M. Horstein	302 0.9×	312 1.0×	130 1.9×	43 1.5×	77 3.3×	16	436
Hao Jin	358 1.0×	332 1.1×	85 1.2×	18 0.6×	39 1.7×	13	413
Thomas R. Halford	294 0.8×	255 0.8×	95 1.4×	19 0.7×	14 0.6×	31	366
Anand Bedekar	281 0.8×	309 1.0×	19 0.3×	12 0.4×	11 0.5×	22	363
Ting Tian	272 0.8×	253 0.8×	24 0.3×	21 0.8×	12 0.5×	15	342
Matthias Alles	361 1.0×	388 1.3×	43 0.6×	17 0.6×	7 0.3×	23	412
Marjan Karkooti	273 0.8×	287 0.9×	50 0.7×	6 0.2×	35 1.5×	10	359
A. Sutivong	317 0.9×	364 1.2×	48 0.7×	40 1.4×	55 2.4×	15	432
Zhizhen Wu	202 0.6×	343 1.1×	81 1.2×	43 1.5×	9 0.4×	18	415

Countries citing papers authored by Payam Pakzad

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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.

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