James Llinas

50 papers and 3.0k indexed citations i.

About

James Llinas is a scholar working on Artificial Intelligence, Computer Networks and Communications and Management Science and Operations Research. According to data from OpenAlex, James Llinas has authored 50 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 12 papers in Computer Networks and Communications and 11 papers in Management Science and Operations Research. Recurrent topics in James Llinas’s work include Target Tracking and Data Fusion in Sensor Networks (18 papers), Data Quality and Management (9 papers) and Bayesian Modeling and Causal Inference (8 papers). James Llinas is often cited by papers focused on Target Tracking and Data Fusion in Sensor Networks (18 papers), Data Quality and Management (9 papers) and Bayesian Modeling and Causal Inference (8 papers). James Llinas collaborates with scholars based in United States, Spain and Italy. James Llinas's co-authors include David L. Hall, Martin E. Liggins, Lauro Snidaro, Erik Blasch, Jesús Garcı́a, Chee Chong, Subrata Das, Chee-Yee Chong, Jesús García and Rakesh Nagi and has published in prestigious journals such as Proceedings of the IEEE, International Journal of Production Research and Information Fusion.

In The Last Decade

Co-authorship network of co-authors of James Llinas i

Fields of papers citing papers by James Llinas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by James Llinas

Since Specialization
Citations

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