Linn I. Sennott

27 papers and 1000 indexed citations i.

About

Linn I. Sennott is a scholar working on Management Information Systems, Management Science and Operations Research and Artificial Intelligence. According to data from OpenAlex, Linn I. Sennott has authored 27 papers receiving a total of 1000 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Management Information Systems, 9 papers in Management Science and Operations Research and 7 papers in Artificial Intelligence. Recurrent topics in Linn I. Sennott’s work include Advanced Queuing Theory Analysis (13 papers), Reinforcement Learning in Robotics (7 papers) and Markov Chains and Monte Carlo Methods (6 papers). Linn I. Sennott is often cited by papers focused on Advanced Queuing Theory Analysis (13 papers), Reinforcement Learning in Robotics (7 papers) and Markov Chains and Monte Carlo Methods (6 papers). Linn I. Sennott collaborates with scholars based in United States and Mexico. Linn I. Sennott's co-authors include Michael Taksar, P.A. Humblet, Richard L. Tweedie, Rolando Cavazos–Cadena, Mark P. Van Oyen, Seyed M. R. Iravani, Michael D. Wallace and Louis W. Shapiro and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and IEEE Transactions on Information Theory.

In The Last Decade

Co-authorship network of co-authors of Linn I. Sennott i

Fields of papers citing papers by Linn I. Sennott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Linn I. Sennott. 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 Linn I. Sennott. The network helps show where Linn I. Sennott may publish in the future.

Countries citing papers authored by Linn I. Sennott

Since Specialization
Citations

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