Maroti Deshmukh

85 total papers · 516 total citations
47 papers, 307 citations indexed

About

Maroti Deshmukh is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Maroti Deshmukh has authored 47 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Computer Vision and Pattern Recognition, 21 papers in Artificial Intelligence and 7 papers in Signal Processing. Recurrent topics in Maroti Deshmukh's work include Chaos-based Image/Signal Encryption (25 papers), Advanced Steganography and Watermarking Techniques (24 papers) and Cryptography and Data Security (15 papers). Maroti Deshmukh is often cited by papers focused on Chaos-based Image/Signal Encryption (25 papers), Advanced Steganography and Watermarking Techniques (24 papers) and Cryptography and Data Security (15 papers). Maroti Deshmukh collaborates with scholars based in India, Japan and United States. Maroti Deshmukh's co-authors include Neeta Nain, Mushtaq Ahmed, Lalit Kumar Awasthi, Abhishek Dhiman, Akshay Singh, Nitin Kumar, Piyush Kumar and Puneet Gupta and has published in prestigious journals such as Scientific Reports, Multimedia Tools and Applications and Journal of Visual Communication and Image Representation.

In The Last Decade

Maroti Deshmukh

36 papers receiving 292 citations

Author Peers

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

Author						Papers	Cites
Maroti Deshmukh	261	161	37	34	33	47	307
N. Sasikaladevi	129 0.5×	99 0.6×	78 2.1×	41 1.2×	46 1.4×	44	269
Roshidi Din	235 0.9×	91 0.6×	56 1.5×	24 0.7×	24 0.7×	69	344
F. Cesarini	234 0.9×	88 0.5×	40 1.1×	31 0.9×	31 0.9×	23	293
Jon Sneyers	162 0.6×	128 0.8×	14 0.4×	69 2.0×	55 1.7×	28	298
Davide Cavagnino	177 0.7×	54 0.3×	26 0.7×	45 1.3×	20 0.6×	35	249
Nicolas T. Courtois	171 0.7×	232 1.4×	97 2.6×	44 1.3×	35 1.1×	47	320
Marcela Xavier Ribeiro	184 0.7×	133 0.8×	51 1.4×	16 0.5×	25 0.8×	38	300
Baoxing Huai	85 0.3×	258 1.6×	59 1.6×	14 0.4×	30 0.9×	31	340
Seog Chung Seo	108 0.4×	213 1.3×	76 2.1×	68 2.0×	42 1.3×	61	293
Pradip K. Das	194 0.7×	94 0.6×	22 0.6×	10 0.3×	84 2.5×	61	323

Countries citing papers authored by Maroti Deshmukh

Since Specialization

Citations

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

Fields of papers citing papers by Maroti Deshmukh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maroti Deshmukh

This figure shows the co-authorship network connecting the top 25 collaborators of Maroti Deshmukh. A scholar is included among the top collaborators of Maroti Deshmukh 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 Maroti Deshmukh. Maroti Deshmukh 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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