The University of Texas Rio Grande Valley
Impact in
- Marketing top 5%
- Consumer Behavior in Brand Consumption and Identification
- Consumer Retail Behavior Studies
- Environmental Sustainability in Business
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- Technology Adoption and User Behaviour
Papers in
- Accounting 255
- Corporate Finance and Governance 191
- Auditing, Earnings Management, Governance 98
- Marketing 189
- Consumer Behavior in Brand Consumption and Identification 84
- Top scholars
- Reto FelixYuanbing MaoPhilipp A. RauschnabelChris HinschMd Saydur RahmanJun SunPhilip G. GasquoineKaren Lozano
- Journals
- Scientific Reports (37 papers)International Journal of Molecular Sciences (35 papers)PLoS ONE (33 papers)Sustainability (30 papers)Physical review. D (26 papers)
- Partner nations
- United StatesChinaIndia
In The Last Decade
The University of Texas Rio Grande Valley
5.5k papers receiving 81.5k citations
Peers
Comparison fields: 5 of 248
- Marketing 6.0k
- Information Systems and Management 3.5k
- Strategy and Management 4.7k
- Accounting 3.5k
- Organizational Behavior and Human Resource Management 3.2k
Countries citing scholars working at The University of Texas Rio Grande Valley
This map shows the geographic impact of research produced by authors working at The University of Texas Rio Grande Valley. 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 The University of Texas Rio Grande Valley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites The University of Texas Rio Grande Valley more than expected).
Fields of papers published by authors at The University of Texas Rio Grande Valley
This network shows the impact of papers affiliated with The University of Texas Rio Grande Valley 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 The University of Texas Rio Grande Valley at the time of their publication.
About The University of Texas Rio Grande Valley
In recent decades, authors affiliated with The University of Texas Rio Grande Valley have published 6.4k papers, which have received a total of 83.2k indexed citations . Scholars at this organization have produced 255 papers in Accounting, 189 papers in Marketing, 93 papers in Modeling and Simulation, 371 papers in Clinical Psychology and 118 papers in Information Systems and Management on the topics of Corporate Finance and Governance (191 papers), Nonlinear Waves and Solitons (124 papers), Digital Marketing and Social Media (106 papers), Nonlinear Photonic Systems (99 papers), Auditing, Earnings Management, Governance (98 papers), Technology Adoption and User Behaviour (94 papers), Consumer Behavior in Brand Consumption and Identification (84 papers) and Child and Adolescent Psychosocial and Emotional Development (83 papers). Their work is cited by papers focused on Marketing (6.0k citations), Information Systems and Management (3.5k citations), Strategy and Management (4.7k citations), Accounting (3.5k citations) and Organizational Behavior and Human Resource Management (3.2k citations). Authors at The University of Texas Rio Grande Valley collaborate with scholars in United States, China and India and have published in prestigious journals including Scientific Reports, International Journal of Molecular Sciences, PLoS ONE, Sustainability and Physical review. D. Some of The University of Texas Rio Grande Valley's most productive authors include Reto Felix, Yuanbing Mao, Philipp A. Rauschnabel, Chris Hinsch, Md Saydur Rahman, Jun Sun, Philip G. Gasquoine, Karen Lozano, Atieh Poushneh and Santosh K. Gupta.
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.