VIT-AP University

26.9k citations
3.1k papers ·

Impact in

Papers in

VIT-AP University

2.4k papers receiving 24.8k citations

Peers

VIT-AP University
Comparison fields: 5 of 226
  • Health Information Management 642
  • Computer Networks and Communications 3.1k
  • Polymers and Plastics 1.8k
  • Signal Processing 1.4k
  • Health Informatics 173
Replace Vignan's Foundation for Science, Technology & Research with:
Vignan's Foundation for Science, Technology & Research India
Siddhartha Medical College India
PES University India
M S Ramaiah University of Applied Sciences India
Hindustan Institute of Technology and Science India
B.S. Abdur Rahman Crescent Institute of Science & Technology India
Ramaiah Institute of Technology India
Jawaharlal Nehru Technological University, Kakinada India
Dr. M.G.R. Educational and Research Institute India
International Institute of Information Technology Bangalore India
VIT-AP University relative to Vignan's Foundation for Science, Technology & Research India Vignan's Foundation for Science, Technology & Research's profile →
Citations per field
00.5×1.7×
Vignan's Foundation for Science, Technology & Research · 1×
Citations per year

Countries citing scholars working at VIT-AP University

Since Specialization
Citations

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

Fields of papers published by authors at VIT-AP University

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with VIT-AP University 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 VIT-AP University at the time of their publication.

About VIT-AP University

In recent decades, authors affiliated with VIT-AP University have published 3.1k papers, which have received a total of 26.9k indexed citations . Scholars at this organization have produced 96 papers in Health Information Management, 196 papers in Signal Processing, 413 papers in Computer Networks and Communications, 358 papers in Computer Vision and Pattern Recognition and 533 papers in Artificial Intelligence on the topics of IoT and Edge/Fog Computing (162 papers), Antenna Design and Analysis (128 papers), Network Security and Intrusion Detection (126 papers), Advancements in Semiconductor Devices and Circuit Design (120 papers), Smart Agriculture and AI (104 papers), Semiconductor materials and devices (99 papers), Brain Tumor Detection and Classification (99 papers) and Artificial Intelligence in Healthcare (93 papers). Their work is cited by papers focused on Health Information Management (642 citations), Computer Networks and Communications (3.1k citations), Polymers and Plastics (1.8k citations), Signal Processing (1.4k citations) and Health Informatics (173 citations). Authors at VIT-AP University collaborate with scholars in India, United States and Saudi Arabia and have published in prestigious journals including IEEE Access, Scientific Reports, Multimedia Tools and Applications, Sensors and Applied Sciences. Some of VIT-AP University's most productive authors include S. K. Khadheer Pasha, Kalim Deshmukh, Lakhan Dev Sharma, M. Basheer Ahamed, Deepak Kumar Panda, Sowmya Sankaran, Chandan Kumar Pandey, Hari Kishan Kondaveeti, P.S. Rama Sreekanth and Umakanta Nanda.

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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