B. H. Shekar

1.3k total citations
73 papers, 772 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 772 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, P. Nagabhushan, Diego Gragnaniello, Luisa Verdoliva and Sébastien Marcel 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 710 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
B. H. Shekar India 14 362 200 142 98 91 73 772
En Fan China 11 236 0.7× 271 1.4× 70 0.5× 62 0.6× 87 1.0× 44 974
Lijuan Sun China 21 440 1.2× 402 2.0× 233 1.6× 133 1.4× 65 0.7× 110 1.4k
Malay K. Pakhira India 7 264 0.7× 569 2.8× 151 1.1× 120 1.2× 77 0.8× 22 915
Yun Song China 18 477 1.3× 134 0.7× 126 0.9× 40 0.4× 53 0.6× 46 1.0k
Lei Huang China 19 763 2.1× 437 2.2× 77 0.5× 106 1.1× 82 0.9× 152 1.3k
A. Mecocci Italy 15 385 1.1× 273 1.4× 108 0.8× 34 0.3× 96 1.1× 69 898
Xuezhi Wen China 11 417 1.2× 239 1.2× 43 0.3× 68 0.7× 121 1.3× 24 839
Bin Gu China 8 330 0.9× 414 2.1× 61 0.4× 89 0.9× 70 0.8× 10 1000
Sultan Almotairi Saudi Arabia 14 238 0.7× 266 1.3× 55 0.4× 86 0.9× 56 0.6× 58 873
Yimu Ji China 16 406 1.1× 218 1.1× 56 0.4× 110 1.1× 61 0.7× 116 751

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

20 of 20 papers shown
1.
Shekar, B. H., et al.. (2024). Edge Detection in Gray-Scale Images Using Partial Sum of Second-Order Taylor Series Expansion. SN Computer Science. 5(1). 2 indexed citations
2.
3.
Shekar, B. H., et al.. (2022). Deep Learning with DCT for Liveliness Detection. 1–6. 1 indexed citations
4.
Shekar, B. H., et al.. (2022). Contour feature learning for locating text in natural scene images. International Journal of Information Technology. 14(4). 1719–1724. 3 indexed citations
5.
Shekar, B. H. & Guesh Dagnew. (2019). Grid Search-Based Hyperparameter Tuning and Classification of Microarray Cancer Data. 1–8. 175 indexed citations
6.
Shekar, B. H., et al.. (2018). Issues in Negative Association Rule Mining with Business Analytics Perspectives. International Journal of Business. 11(2). 13–20. 2 indexed citations
7.
Shekar, B. H., et al.. (2017). Noise removal in dermoscopic images using a novel software. Indian Dermatology Online Journal. 8(6). 513–513. 1 indexed citations
8.
Shekar, B. H., et al.. (2016). Shot boundary detection using correlation based spectral residual saliency map. 2242–2247. 3 indexed citations
9.
Shekar, B. H., et al.. (2016). Iris recognition using partial sum of second order Taylor series expansion. 1–8. 5 indexed citations
10.
Shekar, B. H., et al.. (2015). Gabor Moments Based Shot Boundary Detection. 359–364. 2 indexed citations
11.
Shekar, B. H., et al.. (2015). Kirsch Directional Derivatives Based Shot Boundary Detection: An Efficient and Accurate Method. Procedia Computer Science. 58. 565–571. 14 indexed citations
12.
Shekar, B. H., et al.. (2014). Morphological gradient based approach for text localization in video/scene images. 2426–2431. 2 indexed citations
13.
Shekar, B. H., et al.. (2014). Discriminative DCT: An Efficient and Accurate Approach for Off-Line Signature Verification. 179–184. 4 indexed citations
14.
Shekar, B. H., et al.. (2014). Discriminative DCT-MLP based approach for off-line signature verification. 2309–2315. 2 indexed citations
15.
Shekar, B. H., et al.. (2011). On the use of phase of the discrete cosine transform for text detection in document images and video frames under variations in illumination.. Indian International Conference on Artificial Intelligence. 58–70. 1 indexed citations
16.
Shekar, B. H., et al.. (2010). Face recognition using kernel entropy component analysis. Neurocomputing. 74(6). 1053–1057. 39 indexed citations
17.
18.
Shekar, B. H., et al.. (2005). Interestingness of association rules in data mining: Issues relevant to e-commerce. Sadhana. 30(2-3). 291–309. 13 indexed citations
19.
Shekar, B. H., M. Narasimha Murty, & G. Krishna. (1987). Pattern clustering: an artificial intelligence approach. International Joint Conference on Artificial Intelligence. 214–216.
20.
Shekar, B. H., M. Narasimha Murty, & G. Krishna. (1987). A FRAMEWORK FOR THE SYNTHESIS OF KNOWLEDGE-DIRECTED PATTERN CLASSES. 81–85.

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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