Rivka Ladin

18 total papers · 1.5k total citations
14 papers, 881 citations indexed

About

Rivka Ladin is a scholar working on Computer Networks and Communications, Information Systems and Management Information Systems. According to data from OpenAlex, Rivka Ladin has authored 14 papers receiving a total of 881 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Networks and Communications, 6 papers in Information Systems and 4 papers in Management Information Systems. Recurrent topics in Rivka Ladin's work include Distributed systems and fault tolerance (10 papers), Service-Oriented Architecture and Web Services (6 papers) and Business Process Modeling and Analysis (4 papers). Rivka Ladin is often cited by papers focused on Distributed systems and fault tolerance (10 papers), Service-Oriented Architecture and Web Services (6 papers) and Business Process Modeling and Analysis (4 papers). Rivka Ladin collaborates with scholars based in United States. Rivka Ladin's co-authors include Barbara Liskov, Umeshwar Dayal, Meichun Hsu, Liuba Shrira, Sanjay Ghemawat and Alec Wolman and has published in prestigious journals such as ACM SIGMOD Record, ACM Transactions on Computer Systems and Algorithmica.

In The Last Decade

Rivka Ladin

13 papers receiving 747 citations

Author Peers

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

Author Last Decade Papers Cites
Rivka Ladin 710 356 223 146 113 14 881
Robert Orfali 454 0.6× 434 1.2× 138 0.6× 331 2.3× 79 0.7× 14 924
Dan Harkey 451 0.6× 426 1.2× 135 0.6× 332 2.3× 78 0.7× 13 918
Sunil K. Sarin 503 0.7× 316 0.9× 257 1.2× 263 1.8× 69 0.6× 24 843
Donald F. Box 494 0.7× 451 1.3× 104 0.5× 245 1.7× 72 0.6× 8 744
LF Marshall 217 0.3× 628 1.8× 133 0.6× 515 3.5× 63 0.6× 12 1.0k
Pengcheng Xiong 571 0.8× 728 2.0× 230 1.0× 172 1.2× 27 0.2× 32 900
Vijay Mann 850 1.2× 368 1.0× 86 0.4× 252 1.7× 83 0.7× 30 967
A. Dan 842 1.2× 295 0.8× 149 0.7× 137 0.9× 62 0.5× 32 1.0k
Keith A. Lantz 731 1.0× 341 1.0× 74 0.3× 124 0.8× 312 2.8× 28 1.0k
Maria Butrico 597 0.8× 610 1.7× 70 0.3× 251 1.7× 259 2.3× 13 944

Countries citing papers authored by Rivka Ladin

Since Specialization
Citations

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

Fields of papers citing papers by Rivka Ladin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rivka Ladin

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