Telagarapu Prabhakar

60 total papers · 410 total citations
30 papers, 184 citations indexed

About

Telagarapu Prabhakar is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Neurology. According to data from OpenAlex, Telagarapu Prabhakar has authored 30 papers receiving a total of 184 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 7 papers in Media Technology and 5 papers in Neurology. Recurrent topics in Telagarapu Prabhakar's work include Chaos-based Image/Signal Encryption (5 papers), Brain Tumor Detection and Classification (5 papers) and Advanced Image Fusion Techniques (5 papers). Telagarapu Prabhakar is often cited by papers focused on Chaos-based Image/Signal Encryption (5 papers), Brain Tumor Detection and Classification (5 papers) and Advanced Image Fusion Techniques (5 papers). Telagarapu Prabhakar collaborates with scholars based in India, Italy and Netherlands. Telagarapu Prabhakar's co-authors include P. Geetha, S. Poonguzhali, K. P. Soman, Tianrong Rao, Balajee Maram, Karri Chiranjeevi, Vijay S. Rao, Luca Mottola, Birendra Biswal and Ramjee Prasad and has published in prestigious journals such as ISPRS Journal of Photogrammetry and Remote Sensing, NMR in Biomedicine and Biomedical Signal Processing and Control.

In The Last Decade

Telagarapu Prabhakar

27 papers receiving 168 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Telagarapu Prabhakar 72 46 44 26 25 30 184
S. Prabu 73 1.0× 33 0.7× 36 0.8× 13 0.5× 20 0.8× 46 215
Hussain Mobarak Albarakati 34 0.5× 31 0.7× 50 1.1× 18 0.7× 50 2.0× 30 235
G. Charlyn Pushpa Latha 62 0.9× 25 0.5× 46 1.0× 64 2.5× 31 1.2× 20 239
Wenhao Sun 110 1.5× 46 1.0× 61 1.4× 55 2.1× 35 1.4× 25 289
Yating Hu 72 1.0× 17 0.4× 60 1.4× 27 1.0× 8 0.3× 37 256
Philomina Simon 136 1.9× 52 1.1× 71 1.6× 31 1.2× 12 0.5× 30 280
Fangyuan Lei 90 1.3× 37 0.8× 97 2.2× 11 0.4× 31 1.2× 38 258
Ling Tan 87 1.2× 59 1.3× 50 1.1× 19 0.7× 87 3.5× 26 281
Daniel Madroñal 44 0.6× 71 1.5× 24 0.5× 54 2.1× 17 0.7× 21 196
Junjie Yang 74 1.0× 32 0.7× 52 1.2× 10 0.4× 11 0.4× 40 193

Countries citing papers authored by Telagarapu Prabhakar

Since Specialization
Citations

This map shows the geographic impact of Telagarapu Prabhakar's research. 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 Telagarapu Prabhakar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Telagarapu Prabhakar more than expected).

Fields of papers citing papers by Telagarapu Prabhakar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Telagarapu Prabhakar. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Telagarapu Prabhakar. The network helps show where Telagarapu Prabhakar may publish in the future.

Co-authorship network of co-authors of Telagarapu Prabhakar

This figure shows the co-authorship network connecting the top 25 collaborators of Telagarapu Prabhakar. A scholar is included among the top collaborators of Telagarapu Prabhakar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Telagarapu Prabhakar. Telagarapu Prabhakar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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