Linda Ness

18 papers and 359 indexed citations i.

About

Linda Ness is a scholar working on Computer Networks and Communications, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Linda Ness has authored 18 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Networks and Communications, 4 papers in Computational Theory and Mathematics and 3 papers in Artificial Intelligence. Recurrent topics in Linda Ness’s work include Formal Methods in Verification (3 papers), Distributed systems and fault tolerance (3 papers) and Advanced Database Systems and Queries (2 papers). Linda Ness is often cited by papers focused on Formal Methods in Verification (3 papers), Distributed systems and fault tolerance (3 papers) and Advanced Database Systems and Queries (2 papers). Linda Ness collaborates with scholars based in United States, Israel and Japan. Linda Ness's co-authors include David Mumford, Shihshieh Huang, R. Eric Cerny, Youlin Qi, Deepti Bhat, Amit Sheth, Marek Rusinkiewicz, Somesh Jha, Edmund M. Clarke and Orna Grümberg and has published in prestigious journals such as PLANT PHYSIOLOGY, IEEE Transactions on Software Engineering and IEEE Transactions on Computers.

In The Last Decade

Co-authorship network of co-authors of Linda Ness i

Fields of papers citing papers by Linda Ness

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Linda Ness

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025