M. Venkatesulu

755 total citations
41 papers, 480 citations indexed

About

M. Venkatesulu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Mathematical Physics. According to data from OpenAlex, M. Venkatesulu has authored 41 papers receiving a total of 480 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 9 papers in Mathematical Physics. Recurrent topics in M. Venkatesulu's work include Chaos-based Image/Signal Encryption (9 papers), Cryptographic Implementations and Security (6 papers) and Spectral Theory in Mathematical Physics (5 papers). M. Venkatesulu is often cited by papers focused on Chaos-based Image/Signal Encryption (9 papers), Cryptographic Implementations and Security (6 papers) and Spectral Theory in Mathematical Physics (5 papers). M. Venkatesulu collaborates with scholars based in India, United States and Lebanon. M. Venkatesulu's co-authors include P. D. N. Srinivasu, B. S. Rajendra Prasad, D. Devaraj, T. Gnana Bhaskar, Sridhar P. Arjunan, Pallav Kumar Baruah, S. Balamurali, U. B. Angadi, Sangsoon Lim and Lakshmana Kumar Ramasamy and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Mathematical Analysis and Applications and Applied Mathematics and Computation.

In The Last Decade

M. Venkatesulu

39 papers receiving 437 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Venkatesulu India 9 142 122 117 116 78 41 480
Danièle Fournier-Prunaret France 16 143 1.0× 60 0.5× 72 0.6× 30 0.3× 173 2.2× 79 763
Changcheng Xiang China 10 142 1.0× 77 0.6× 28 0.2× 22 0.2× 76 1.0× 49 382
José C. Valverde Spain 14 119 0.8× 57 0.5× 47 0.4× 184 1.6× 8 0.1× 53 489
Tengda Wei China 13 63 0.4× 30 0.2× 106 0.9× 17 0.1× 38 0.5× 38 485
Xiao Luo China 15 114 0.8× 55 0.5× 93 0.8× 18 0.2× 22 0.3× 35 710
Zizhen Zhang China 18 561 4.0× 163 1.3× 29 0.2× 120 1.0× 6 0.1× 97 954
Jianfei Huang China 17 112 0.8× 79 0.6× 19 0.2× 66 0.6× 15 0.2× 57 1.1k
Qintao Gan China 21 205 1.4× 125 1.0× 265 2.3× 26 0.2× 16 0.2× 63 1.2k
Ting‐Hui Yang Taiwan 11 228 1.6× 154 1.3× 57 0.5× 9 0.1× 7 0.1× 28 480
Dejun Fan China 11 246 1.7× 135 1.1× 55 0.5× 23 0.2× 6 0.1× 30 448

Countries citing papers authored by M. Venkatesulu

Since Specialization
Citations

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

Fields of papers citing papers by M. Venkatesulu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Venkatesulu

This figure shows the co-authorship network connecting the top 25 collaborators of M. Venkatesulu. A scholar is included among the top collaborators of M. Venkatesulu 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. Venkatesulu. M. Venkatesulu 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.
Venkatesulu, M., et al.. (2021). Segmenting and Classifying MRI Multimodal Images Using Cuckoo Search Optimization and KNN Classifier. IETE Journal of Research. 69(7). 3946–3953. 7 indexed citations
2.
Venkatesulu, M., et al.. (2020). A novel security mechanism using AES cryptography approach in cloud computing. International Journal of Communication Systems. 34(6). 2 indexed citations
3.
Hemalatha, J., et al.. (2020). Retraction Notice: Secure Multicast Group Communications for IoT Applications using WSN. 1–1. 1 indexed citations
4.
Venkatesulu, M., et al.. (2019). A Novel Encryption Algorithm Based on Pseudo Random Sub Blocks of Data Blocks. International Journal of Engineering and Advanced Technology. 9(1s4). 56–57. 1 indexed citations
5.
Venkatesulu, M., et al.. (2019). Segmenting Images like MR Brain, Breast and Scintigraphy Thyroid Gland using Fuzzy C Means Based Morphological Reconstruction Filters. International Journal of Innovative Technology and Exploring Engineering. 9(2S2). 1011–1016. 1 indexed citations
6.
7.
Balamurali, S., P. Jeyadurga, M. Usha, & M. Venkatesulu. (2018). Optimal Designing of Chain Sampling Plan for Weibull Distributed Percentile Life Assurance. 29(1). 94–105. 2 indexed citations
8.
Balamurali, S., et al.. (2018). Wormhole Attack Detection and Prevention Using EIGRP Protocol Based on Round Trip Time. Journal of Cyber Security and Mobility. 6 indexed citations
9.
Venkatesulu, M., et al.. (2014). A block cipher based on Boolean matrices using bit level operations. 59–63. 1 indexed citations
10.
Venkatesulu, M., et al.. (2014). Investigation of ANFIS and FFBNN Recognition Methods Performance in Tamil Speech Word Recognition. International Journal of Software Innovation. 2(2). 43–53. 1 indexed citations
11.
Venkatesulu, M., et al.. (2013). A complete binary tree structure block cipher for real-time multimedia. 346–352. 4 indexed citations
12.
Venkatesulu, M., et al.. (2012). Encryption Quality and Performance Analysis of GKSBC Algorithm. Journal of information engineering and applications. 2(10). 26–34. 8 indexed citations
13.
Angadi, U. B. & M. Venkatesulu. (2011). Structural SCOP Superfamily Level Classification Using Unsupervised Machine Learning. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 9(2). 601–608. 11 indexed citations
14.
Srinivasu, P. D. N., B. S. Rajendra Prasad, & M. Venkatesulu. (2007). Biological control through provision of additional food to predators: A theoretical study. Theoretical Population Biology. 72(1). 111–120. 150 indexed citations
15.
Baruah, Pallav Kumar & M. Venkatesulu. (2005). Deficiency indices of a differential operator satisfying certain matching interface conditions. SHILAP Revista de lepidopterología. 7 indexed citations
16.
Venkatesulu, M. & Pallav Kumar Baruah. (2000). A classical approach to eigenvalue problems associated with apair of mixed regular Sturm‐Liouville equations II. International Journal of Stochastic Analysis. 15(2). 181–187. 1 indexed citations
17.
Srinivasu, P. D. N. & M. Venkatesulu. (1992). Quadratically convergent numerical schemes for nonstandard initial value problems. Applied Mathematics and Computation. 47(2-3). 145–154. 1 indexed citations
18.
Venkatesulu, M. & P. D. N. Srinivasu. (1991). Numerical solutions of nonstandard first order initial value problems. International Journal of Stochastic Analysis. 5(1). 69–82. 1 indexed citations
19.
Venkatesulu, M. & T. Gnana Bhaskar. (1990). Solutions of initial value problems associated with a pair of mixed linear ordinary differential equations. Journal of Mathematical Analysis and Applications. 148(1). 63–78. 8 indexed citations
20.
Venkatesulu, M. & T. Gnana Bhaskar. (1989). Selfadjoint boundary value problems associated with a pair of mixed linear ordinary differential equations. Journal of Mathematical Analysis and Applications. 144(2). 322–341. 11 indexed citations

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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