Global Academy of Technology

472 papers and 2.5k indexed citations

About

In recent decades, authors affiliated with Global Academy of Technology have published 472 papers, which have received a total of 2.5k indexed citations. Scholars at this organization have produced 98 papers in Artificial Intelligence, 81 papers in Computer Vision and Pattern Recognition and 64 papers in Computer Networks and Communications on the topics of Aluminum Alloys Composites Properties (28 papers), Artificial Intelligence in Healthcare (23 papers) and Energy Efficient Wireless Sensor Networks (22 papers). Their work is cited by papers focused on Artificial Intelligence (429 citations), Materials Chemistry (372 citations) and Electrical and Electronic Engineering (340 citations). Authors at Global Academy of Technology collaborate with scholars in India, Cyprus and United States and have published in prestigious journals including SHILAP Revista de lepidopterología, Langmuir and Scientific Reports. Some of Global Academy of Technology's most productive authors include Ashwini Kodipalli, T. N. Ravishankar, T. Ramakrishnappa, Roshan Joy Martis, Sérgio R. Teixeira, Jobish Johns, Trupthi Rao, Jaı̈rton Dupont, Steven Lawrence Fernandes and S Kumaraswamy.

In The Last Decade

Global Academy of Technology

357 papers receiving 2.3k citations

Countries citing scholars working at Global Academy of Technology

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Global Academy of Technology. 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 Global Academy of Technology with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Global Academy of Technology more than expected).

Fields of papers published by authors at Global Academy of Technology

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Global Academy of Technology 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 Global Academy of Technology at the time of their publication.

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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2026