Anil Neerukonda Institute of Technology & Sciences

6.2k citations
762 papers ·

Impact in

Papers in

Anil Neerukonda Institute of Technology & Sciences

643 papers receiving 6.2k citations

Peers

Anil Neerukonda Institute of Technology & Sciences
Comparison fields: 5 of 162
  • Artificial Intelligence 1.1k
  • Condensed Matter Physics 312
  • Computer Vision and Pattern Recognition 471
  • Materials Chemistry 659
  • Computer Networks and Communications 347
Replace Rajiv Gandhi University of Knowledge Technologies with:
Rajiv Gandhi University of Knowledge Technologies India
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Anil Neerukonda Institute of Technology & Sciences relative to Rajiv Gandhi University of Knowledge Technologies India Rajiv Gandhi University of Knowledge Technologies's profile →
Citations per field
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Citations per year

Countries citing scholars working at Anil Neerukonda Institute of Technology & Sciences

Since Specialization
Citations

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

Fields of papers published by authors at Anil Neerukonda Institute of Technology & Sciences

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Anil Neerukonda Institute of Technology & Sciences 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 Anil Neerukonda Institute of Technology & Sciences at the time of their publication.

About Anil Neerukonda Institute of Technology & Sciences

In recent decades, authors affiliated with Anil Neerukonda Institute of Technology & Sciences have published 762 papers, which have received a total of 6.2k indexed citations . Scholars at this organization have produced 37 papers in Condensed Matter Physics, 104 papers in Artificial Intelligence, 104 papers in Mechanical Engineering, 58 papers in Computer Networks and Communications and 54 papers in Computer Vision and Pattern Recognition on the topics of Antenna Design and Analysis (37 papers), GaN-based semiconductor devices and materials (37 papers), Metaheuristic Optimization Algorithms Research (32 papers), Welding Techniques and Residual Stresses (26 papers), Advanced Welding Techniques Analysis (22 papers), ZnO doping and properties (16 papers), Artificial Intelligence in Healthcare (16 papers) and Advanced DC-DC Converters (16 papers). Their work is cited by papers focused on Artificial Intelligence (1.1k citations), Condensed Matter Physics (312 citations), Computer Vision and Pattern Recognition (471 citations), Materials Chemistry (659 citations) and Computer Networks and Communications (347 citations). Authors at Anil Neerukonda Institute of Technology & Sciences collaborate with scholars in India, United States and Saudi Arabia and have published in prestigious journals including Journal of Electronic Materials, IEEE Access, Multimedia Tools and Applications, Energies and Sustainability. Some of Anil Neerukonda Institute of Technology & Sciences's most productive authors include Suresh Chandra Satapathy, S. Siva Kumar, Gollapalli Nageswara Rao, Putcha Venkateswarlu, Anima Naik, D. R. K. Reddy, P. Murugapandiyan, Jyotsna Kumar Mandal, Rutuparna Panda and Bibekananda Jena.

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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