Andrew F. Seila

38 papers and 629 indexed citations i.

About

Andrew F. Seila is a scholar working on Management Science and Operations Research, Statistics and Probability and Management Information Systems. According to data from OpenAlex, Andrew F. Seila has authored 38 papers receiving a total of 629 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Management Science and Operations Research, 10 papers in Statistics and Probability and 6 papers in Management Information Systems. Recurrent topics in Andrew F. Seila’s work include Simulation Techniques and Applications (19 papers), Advanced Queuing Theory Analysis (5 papers) and Statistical Methods and Inference (5 papers). Andrew F. Seila is often cited by papers focused on Simulation Techniques and Applications (19 papers), Advanced Queuing Theory Analysis (5 papers) and Statistical Methods and Inference (5 papers). Andrew F. Seila collaborates with scholars based in United States, Latvia and Taiwan. Andrew F. Seila's co-authors include Reuven Y. Rubinstein, Keebom Kang, David Goldsman, John A. Miller, Christos Alexopoulos, G.M. Pesti, Jerry Banks, Jeffrey D. Tew, Linda M. Anderson and Deborah A. Sadowski and has published in prestigious journals such as Technometrics, Management Science and Operations Research.

In The Last Decade

Co-authorship network of co-authors of Andrew F. Seila i

Fields of papers citing papers by Andrew F. Seila

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew F. Seila. 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 Andrew F. Seila. The network helps show where Andrew F. Seila may publish in the future.

Countries citing papers authored by Andrew F. Seila

Since Specialization
Citations

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