Michael Peleg

65 total papers · 731 total citations
40 papers, 540 citations indexed

About

Michael Peleg is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Computational Theory and Mathematics. According to data from OpenAlex, Michael Peleg has authored 40 papers receiving a total of 540 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Electrical and Electronic Engineering, 31 papers in Computer Networks and Communications and 5 papers in Computational Theory and Mathematics. Recurrent topics in Michael Peleg's work include Advanced Wireless Communication Techniques (22 papers), Error Correcting Code Techniques (15 papers) and Wireless Communication Networks Research (14 papers). Michael Peleg is often cited by papers focused on Advanced Wireless Communication Techniques (22 papers), Error Correcting Code Techniques (15 papers) and Wireless Communication Networks Research (14 papers). Michael Peleg collaborates with scholars based in Israel, Germany and United States. Michael Peleg's co-authors include Shlomo Shamai, Amichai Sanderovich, Ran Ginosar, Rostislav Dobkin, Igal Sason, Avi Steiner, Elihu D. Richter, Yossef Steinberg, Elliot M. Berry and Tomer Michaeli and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Transactions on Signal Processing and IEEE Transactions on Communications.

In The Last Decade

Michael Peleg

40 papers receiving 517 citations

Author Peers

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

Author						Papers	Cites
Michael Peleg	491	446	107	27	25	40	540
Glenn Gulak	384 0.8×	235 0.5×	185 1.7×	42 1.6×	34 1.4×	30	587
Kimmo Valkealahti	278 0.6×	239 0.5×	54 0.5×	6 0.2×	5 0.2×	35	593
Sai Rahul Chalamalasetti	362 0.7×	177 0.4×	114 1.1×	16 0.6×	3 0.1×	32	577
Peng Du	167 0.3×	322 0.7×	39 0.4×	38 1.4×	3 0.1×	34	497
Christoph Hellings	252 0.5×	123 0.3×	176 1.6×	20 0.7×	3 0.1×	56	448
Yan Yang	120 0.2×	201 0.5×	135 1.3×	35 1.3×	4 0.2×	42	511
Or Ordentlich	423 0.9×	337 0.8×	54 0.5×	29 1.1×	2 0.1×	42	517
Enrique Vallejo	173 0.4×	409 0.9×	16 0.1×	18 0.7×	7 0.3×	48	480
Gang Bao	321 0.7×	377 0.8×	143 1.3×	20 0.7×	3 0.1×	37	608
S. Ravi	219 0.4×	183 0.4×	117 1.1×	24 0.9×	3 0.1×	42	492

Countries citing papers authored by Michael Peleg

Since Specialization

Citations

This map shows the geographic impact of Michael Peleg'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 Michael Peleg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Peleg more than expected).

Fields of papers citing papers by Michael Peleg

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Peleg. 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 Michael Peleg. The network helps show where Michael Peleg may publish in the future.

Co-authorship network of co-authors of Michael Peleg

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Peleg. A scholar is included among the top collaborators of Michael Peleg 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 Michael Peleg. Michael Peleg 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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