B. L. Deekshatulu

128 total papers · 1.7k total citations
76 papers, 933 citations indexed

About

B. L. Deekshatulu is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, B. L. Deekshatulu has authored 76 papers receiving a total of 933 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Control and Systems Engineering, 21 papers in Computer Vision and Pattern Recognition and 16 papers in Artificial Intelligence. Recurrent topics in B. L. Deekshatulu's work include Control Systems and Identification (14 papers), Image Retrieval and Classification Techniques (9 papers) and Neural Networks and Applications (8 papers). B. L. Deekshatulu is often cited by papers focused on Control Systems and Identification (14 papers), Image Retrieval and Classification Techniques (9 papers) and Neural Networks and Applications (8 papers). B. L. Deekshatulu collaborates with scholars based in India and United States. B. L. Deekshatulu's co-authors include Priti Chandra, M. A. Jabbar, N. Gopalsami, Chih-Hung Hsiao, Iyyanki V. Muralikrishna, Arun K. Pujari, Chakravarthy Bhagvati, V. V. S. Sarma, N. Yadaiah and G. Krishna and has published in prestigious journals such as IEEE Transactions on Automatic Control, European Urology and International Journal of Remote Sensing.

In The Last Decade

B. L. Deekshatulu

71 papers receiving 827 citations

Author Peers

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

Author						Papers	Cites
B. L. Deekshatulu	334	287	198	147	122	76	933
Ahmed M. Anter	461 1.4×	38 0.1×	306 1.5×	39 0.3×	63 0.5×	51	1.1k
Ashok Ghatol	329 1.0×	221 0.8×	138 0.7×	61 0.4×	87 0.7×	73	880
Saratha Sathasivam	681 2.0×	33 0.1×	133 0.7×	72 0.5×	81 0.7×	130	966
Sultan Almotairi	256 0.8×	28 0.1×	228 1.2×	37 0.3×	84 0.7×	57	840
Ernesto Tarantino	533 1.6×	33 0.1×	136 0.7×	54 0.4×	124 1.0×	76	961
Aránzazu Jurío	338 1.0×	34 0.1×	116 0.6×	75 0.5×	38 0.3×	38	870
Xia Yu	316 0.9×	61 0.2×	337 1.7×	107 0.7×	34 0.3×	80	1.1k
Amit Chhabra	407 1.2×	93 0.3×	110 0.6×	40 0.3×	298 2.4×	74	979
Yanping Bai	362 1.1×	21 0.1×	160 0.8×	169 1.1×	34 0.3×	90	1.2k
Prajoy Podder	454 1.4×	90 0.3×	139 0.7×	35 0.2×	96 0.8×	53	1.2k

Countries citing papers authored by B. L. Deekshatulu

Since Specialization

Citations

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

Fields of papers citing papers by B. L. Deekshatulu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of B. L. Deekshatulu

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