Texas A&M University – Texarkana

268 papers and 8.4k indexed citations i.

About

In recent decades, authors affiliated with Texas A&M University – Texarkana have published 268 papers, which have received a total of 8.4k indexed citations. Scholars at this organization have produced 29 papers in Artificial Intelligence, 26 papers in Electrical and Electronic Engineering and 22 papers in Sociology and Political Science on the topics of Neural Networks and Applications (14 papers), Digital Filter Design and Implementation (13 papers) and Image and Signal Denoising Methods (10 papers). Their work is cited by papers focused on Infectious Diseases (3.6k citations), Molecular Biology (826 citations) and Neurology (771 citations). Authors at Texas A&M University – Texarkana collaborate with scholars in United States, China and Italy and have published in prestigious journals including The Journal of Immunology, Renewable and Sustainable Energy Reviews and Journal of Virology. Some of Texas A&M University – Texarkana's most productive authors include Benjamin W. Neuman, Igor Aizenberg, John Ziebuhr, Anastasia Gulyaeva, Igor A. Sidorov, Stanley Perlman, Alexander E. Gorbalenya, Isabel Sola, Bart L. Haagmans and Chris Lauber.

In The Last Decade

Fields of papers published by authors at Texas A&M University – Texarkana

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Texas A&M University – Texarkana at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Texas A&M University – Texarkana at the time of their publication.

Countries citing scholars working at Texas A&M University – Texarkana

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Texas A&M University – Texarkana. 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 papers produced at Texas A&M University – Texarkana with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Texas A&M University – Texarkana 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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