M. Parisa Beham

48 total papers · 464 total citations
29 papers, 284 citations indexed

About

M. Parisa Beham is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Orthopedics and Sports Medicine. According to data from OpenAlex, M. Parisa Beham has authored 29 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 8 papers in Biomedical Engineering and 6 papers in Orthopedics and Sports Medicine. Recurrent topics in M. Parisa Beham's work include Face recognition and analysis (11 papers), Face and Expression Recognition (10 papers) and Bone health and osteoporosis research (6 papers). M. Parisa Beham is often cited by papers focused on Face recognition and analysis (11 papers), Face and Expression Recognition (10 papers) and Bone health and osteoporosis research (6 papers). M. Parisa Beham collaborates with scholars based in Nepal and India. M. Parisa Beham's co-authors include S. Mohamed Mansoor Roomi, R. Tamilselvi, Ashwin Nagaraj, C. V. Jawahar, Radhesyam Vaddi, Sabari Nathan, Muthu Subash Kavitha, R. Vijay Anand and R Bharath and has published in prestigious journals such as Textile Research Journal, Journal of Ambient Intelligence and Humanized Computing and Materials Today Proceedings.

In The Last Decade

M. Parisa Beham

26 papers receiving 249 citations

Author Peers

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

Author Last Decade Papers Cites
M. Parisa Beham 176 51 50 46 44 29 284
Vijayarajan Rajangam 146 0.8× 61 1.2× 24 0.5× 63 1.4× 18 0.4× 30 331
Anastassia Angelopoulou 108 0.6× 70 1.4× 34 0.7× 16 0.3× 17 0.4× 32 299
Xu Han 141 0.8× 64 1.3× 20 0.4× 15 0.3× 16 0.4× 26 262
Sukrit Gupta 127 0.7× 84 1.6× 55 1.1× 16 0.3× 26 0.6× 18 317
Seok Bong Yoo 183 1.0× 38 0.7× 24 0.5× 14 0.3× 11 0.3× 43 320
Walid Hariri 192 1.1× 45 0.9× 12 0.2× 64 1.4× 22 0.5× 21 260
Mahbubul Alam 78 0.4× 89 1.7× 23 0.5× 58 1.3× 63 1.4× 28 308
Md Shafiqul Islam 95 0.5× 36 0.7× 35 0.7× 27 0.6× 13 0.3× 30 253
Ryan Cunningham 58 0.3× 72 1.4× 40 0.8× 47 1.0× 7 0.2× 27 258
Jacob Newman 68 0.4× 27 0.5× 12 0.2× 87 1.9× 71 1.6× 23 293

Countries citing papers authored by M. Parisa Beham

Since Specialization
Citations

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

Fields of papers citing papers by M. Parisa Beham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Parisa Beham. 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 M. Parisa Beham. The network helps show where M. Parisa Beham may publish in the future.

Co-authorship network of co-authors of M. Parisa Beham

This figure shows the co-authorship network connecting the top 25 collaborators of M. Parisa Beham. A scholar is included among the top collaborators of M. Parisa Beham 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 M. Parisa Beham. M. Parisa Beham 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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