Shaula Yemini

39 total papers · 2.7k total citations
29 papers, 1.4k citations indexed

About

Shaula Yemini is a scholar working on Computer Networks and Communications, Hardware and Architecture and Artificial Intelligence. According to data from OpenAlex, Shaula Yemini has authored 29 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Networks and Communications, 11 papers in Hardware and Architecture and 8 papers in Artificial Intelligence. Recurrent topics in Shaula Yemini's work include Distributed systems and fault tolerance (17 papers), Distributed and Parallel Computing Systems (13 papers) and Parallel Computing and Optimization Techniques (11 papers). Shaula Yemini is often cited by papers focused on Distributed systems and fault tolerance (17 papers), Distributed and Parallel Computing Systems (13 papers) and Parallel Computing and Optimization Techniques (11 papers). Shaula Yemini collaborates with scholars based in United States, Israel and France. Shaula Yemini's co-authors include Rob Strom, Robert E. Strom, Y. Yemini, D. Ohsie, Daniel M. Berry, David F. Bacon, G. Goldszmidt, Shmuel Katz, Daniel M. Yellin and Arthur P. Goldberg and has published in prestigious journals such as IEEE Communications Magazine, IEEE Transactions on Software Engineering and ACM Transactions on Computer Systems.

In The Last Decade

Shaula Yemini

29 papers receiving 1.3k citations

Author Peers

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

Author Last Decade Papers Cites
Shaula Yemini 1.1k 532 440 408 205 29 1.4k
Doug Lea 967 0.9× 733 1.4× 823 1.9× 514 1.3× 258 1.3× 40 1.7k
Alan Snyder 501 0.5× 865 1.6× 295 0.7× 427 1.0× 189 0.9× 22 1.2k
Umut A. Acar 884 0.8× 678 1.3× 824 1.9× 448 1.1× 150 0.7× 92 1.5k
Todd A. Proebsting 572 0.5× 598 1.1× 813 1.8× 262 0.6× 198 1.0× 50 1.3k
Jonathan T. Moore 704 0.7× 510 1.0× 211 0.5× 294 0.7× 185 0.9× 27 1.1k
A. N. Habermann 488 0.5× 572 1.1× 328 0.7× 368 0.9× 155 0.8× 31 1.1k
Robert E. Strom 1.0k 0.9× 823 1.5× 308 0.7× 605 1.5× 232 1.1× 25 1.7k
David Detlefs 794 0.7× 732 1.4× 765 1.7× 256 0.6× 267 1.3× 34 1.4k
Maurício Serrano 830 0.8× 734 1.4× 1.0k 2.3× 341 0.8× 234 1.1× 52 1.5k
Glenn Ammons 756 0.7× 502 0.9× 393 0.9× 927 2.3× 627 3.1× 22 1.5k

Countries citing papers authored by Shaula Yemini

Since Specialization
Citations

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

Fields of papers citing papers by Shaula Yemini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaula Yemini

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