Dafna Sheinwald

38 total papers · 807 total citations
21 papers, 326 citations indexed

About

Dafna Sheinwald is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computational Theory and Mathematics. According to data from OpenAlex, Dafna Sheinwald has authored 21 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 7 papers in Computer Networks and Communications and 7 papers in Computational Theory and Mathematics. Recurrent topics in Dafna Sheinwald's work include Algorithms and Data Compression (10 papers), Cellular Automata and Applications (4 papers) and Parallel Computing and Optimization Techniques (4 papers). Dafna Sheinwald is often cited by papers focused on Algorithms and Data Compression (10 papers), Cellular Automata and Applications (4 papers) and Parallel Computing and Optimization Techniques (4 papers). Dafna Sheinwald collaborates with scholars based in Israel, United States and United Kingdom. Dafna Sheinwald's co-authors include Erez Petrank, Elliot K. Kolodner, E. Christopher Lewis, Benjamin Sznajder, Shila Ofek-Koifman, Ronny Lempel, Sivan Yogev, Nadav Har’El, Andreas Neumann and Nadav Golbandi and has published in prestigious journals such as Proceedings of the IEEE, IEEE Transactions on Information Theory and IEEE Transactions on Communications.

In The Last Decade

Dafna Sheinwald

19 papers receiving 290 citations

Author Peers

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

Author						Papers	Cites
Dafna Sheinwald	201	123	99	75	47	21	326
Matthew A. Hammer	191 1.0×	112 0.9×	88 0.9×	118 1.6×	16 0.3×	23	316
M. J. R. Shave	127 0.6×	116 0.9×	42 0.4×	37 0.5×	46 1.0×	22	314
Glenn S. Fowler	130 0.6×	144 1.2×	108 1.1×	55 0.7×	35 0.7×	28	249
Cécile Germain‐Renaud	118 0.6×	139 1.1×	98 1.0×	36 0.5×	27 0.6×	21	297
Guy Jacobson	164 0.8×	136 1.1×	55 0.6×	39 0.5×	39 0.8×	15	328
Mohsen Lesani	162 0.8×	150 1.2×	126 1.3×	52 0.7×	20 0.4×	28	288
Kee Siong Ng	192 1.0×	123 1.0×	103 1.0×	27 0.4×	86 1.8×	16	321
Juncheng Yang	110 0.5×	199 1.6×	114 1.2×	49 0.7×	70 1.5×	28	318
Kedar Dhamdhere	129 0.6×	206 1.7×	58 0.6×	19 0.3×	95 2.0×	15	353
Satya Gautam Vadlamudi	158 0.8×	149 1.2×	116 1.2×	97 1.3×	32 0.7×	20	328

Countries citing papers authored by Dafna Sheinwald

Since Specialization

Citations

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

Fields of papers citing papers by Dafna Sheinwald

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dafna Sheinwald

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