B. H. Shekar

192 total papers · 1.3k total citations
73 papers, 768 citations indexed

About

B. H. Shekar is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, B. H. Shekar has authored 73 papers receiving a total of 768 indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Computer Vision and Pattern Recognition, 18 papers in Artificial Intelligence and 15 papers in Signal Processing. Recurrent topics in B. H. Shekar's work include Image Retrieval and Classification Techniques (22 papers), Advanced Image and Video Retrieval Techniques (17 papers) and Handwritten Text Recognition Techniques (14 papers). B. H. Shekar is often cited by papers focused on Image Retrieval and Classification Techniques (22 papers), Advanced Image and Video Retrieval Techniques (17 papers) and Handwritten Text Recognition Techniques (14 papers). B. H. Shekar collaborates with scholars based in India, Russia and United Kingdom. B. H. Shekar's co-authors include Guesh Dagnew, D. S. Guru, P. Nagabhushan, Manjunath Shenoy, Josef Kittler, Pedro Tome, Santosh Tirunagari, Diego Gragnaniello, Carlo Sansone and Luisa Verdoliva and has published in prestigious journals such as SHILAP Revista de lepidopterología, Pattern Recognition and Fuzzy Sets and Systems.

In The Last Decade

B. H. Shekar

68 papers receiving 704 citations

Author Peers

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

Author Last Decade Papers Cites
B. H. Shekar 362 199 141 97 91 73 768
Jianghong Ma 316 0.9× 376 1.9× 68 0.5× 106 1.1× 73 0.8× 75 769
A. Mecocci 388 1.1× 273 1.4× 108 0.8× 34 0.4× 97 1.1× 69 899
Shixiong Xia 424 1.2× 275 1.4× 126 0.9× 65 0.7× 61 0.7× 74 896
Zhihua Wei 309 0.9× 382 1.9× 125 0.9× 154 1.6× 33 0.4× 87 855
Qiuming Zhu 257 0.7× 291 1.5× 77 0.5× 149 1.5× 32 0.4× 56 827
Gang Xiao 202 0.6× 210 1.1× 76 0.5× 68 0.7× 32 0.4× 103 892
Yimu Ji 397 1.1× 210 1.1× 55 0.4× 107 1.1× 60 0.7× 114 732
Weida Zhou 412 1.1× 340 1.7× 95 0.7× 40 0.4× 98 1.1× 41 813
Sultan Almotairi 228 0.6× 256 1.3× 52 0.4× 84 0.9× 56 0.6× 57 840
Liang Zhao 297 0.8× 398 2.0× 58 0.4× 80 0.8× 90 1.0× 62 842

Countries citing papers authored by B. H. Shekar

Since Specialization
Citations

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

Fields of papers citing papers by B. H. Shekar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by B. H. Shekar. 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 B. H. Shekar. The network helps show where B. H. Shekar may publish in the future.

Co-authorship network of co-authors of B. H. Shekar

This figure shows the co-authorship network connecting the top 25 collaborators of B. H. Shekar. A scholar is included among the top collaborators of B. H. Shekar 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 B. H. Shekar. B. H. Shekar 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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