Ghanapriya Singh

48 total papers · 575 total citations
28 papers, 301 citations indexed

About

Ghanapriya Singh is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Experimental and Cognitive Psychology. According to data from OpenAlex, Ghanapriya Singh has authored 28 papers receiving a total of 301 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 8 papers in Biomedical Engineering and 5 papers in Experimental and Cognitive Psychology. Recurrent topics in Ghanapriya Singh's work include Emotion and Mood Recognition (5 papers), Non-Invasive Vital Sign Monitoring (4 papers) and Image Enhancement Techniques (3 papers). Ghanapriya Singh is often cited by papers focused on Emotion and Mood Recognition (5 papers), Non-Invasive Vital Sign Monitoring (4 papers) and Image Enhancement Techniques (3 papers). Ghanapriya Singh collaborates with scholars based in India, United States and Mexico. Ghanapriya Singh's co-authors include Vijay Bhaskar Semwal, Vishwanath Bijalwan, T. K. Mandal, Sanju Tiwari, Rubén González Crespo, Pankaj Kumar Pal, David Hicks, Nidhi Agarwal, Ayush Goyal and Ravinder Kumar and has published in prestigious journals such as IEEE Sensors Journal, Engineering Applications of Artificial Intelligence and Journal of Building Engineering.

In The Last Decade

Ghanapriya Singh

27 papers receiving 290 citations

Author Peers

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

Author Last Decade Papers Cites
Ghanapriya Singh 102 75 45 40 36 28 301
Eric Becker 111 1.1× 69 0.9× 7 0.2× 26 0.7× 13 0.4× 26 307
Esther Parra-Mora 54 0.5× 54 0.7× 16 0.4× 37 0.9× 32 0.9× 21 356
Hadi Banaee 94 0.9× 102 1.4× 18 0.4× 81 2.0× 3 0.1× 13 351
Ifeyinwa E. Achumba 121 1.2× 106 1.4× 9 0.2× 29 0.7× 10 0.3× 18 350
SeongKi Kim 65 0.6× 35 0.5× 17 0.4× 57 1.4× 7 0.2× 32 260
José Varela–Aldás 72 0.7× 20 0.3× 12 0.3× 14 0.3× 36 1.0× 54 314
Daniel Cesarini 123 1.2× 47 0.6× 5 0.1× 37 0.9× 16 0.4× 26 327
Xin Shi 86 0.8× 140 1.9× 9 0.2× 51 1.3× 20 0.6× 29 345
Ashwin Ramesh Babu 75 0.7× 50 0.7× 18 0.4× 68 1.7× 12 0.3× 21 308
Kai Tang 118 1.2× 120 1.6× 10 0.2× 75 1.9× 9 0.3× 35 352

Countries citing papers authored by Ghanapriya Singh

Since Specialization
Citations

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

Fields of papers citing papers by Ghanapriya Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ghanapriya Singh. 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 Ghanapriya Singh. The network helps show where Ghanapriya Singh may publish in the future.

Co-authorship network of co-authors of Ghanapriya Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Ghanapriya Singh. A scholar is included among the top collaborators of Ghanapriya Singh 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 Ghanapriya Singh. Ghanapriya Singh 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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