Rivka Ladin

7 papers and 267 indexed citations i.

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 7 papers receiving a total of 267 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Networks and Communications, 4 papers in Information Systems and 3 papers in Management Information Systems. Recurrent topics in Rivka Ladin’s work include Distributed systems and fault tolerance (4 papers), QoS-Aware Web Services Composition and Semantic Matching (4 papers) and Distributed and Parallel Computing Systems (3 papers). Rivka Ladin is often cited by papers focused on Distributed systems and fault tolerance (4 papers), QoS-Aware Web Services Composition and Semantic Matching (4 papers) and Distributed and Parallel Computing Systems (3 papers). Rivka Ladin collaborates with scholars based in United States. Rivka Ladin's co-authors include Meichun Hsu, Umeshwar Dayal, Liuba Shrira, Barbara Liskov and Sanjay Ghemawat and has published in prestigious journals such as ACM SIGMOD Record, ACM Transactions on Computer Systems and Algorithmica.

In The Last Decade

Co-authorship network of co-authors of Rivka Ladin i

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.

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).

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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2025