Mohit Sewak

62 total papers · 1.3k total citations
24 papers, 478 citations indexed

About

Mohit Sewak is a scholar working on Artificial Intelligence, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, Mohit Sewak has authored 24 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 14 papers in Signal Processing and 13 papers in Computer Networks and Communications. Recurrent topics in Mohit Sewak's work include Advanced Malware Detection Techniques (14 papers), Network Security and Intrusion Detection (11 papers) and Adversarial Robustness in Machine Learning (11 papers). Mohit Sewak is often cited by papers focused on Advanced Malware Detection Techniques (14 papers), Network Security and Intrusion Detection (11 papers) and Adversarial Robustness in Machine Learning (11 papers). Mohit Sewak collaborates with scholars based in India, United States and United Kingdom. Mohit Sewak's co-authors include Hemant Rathore, Sanjay K. Sahay, Sachchidanand Singh, P.K. Pujari, Md. Rezaul Karim, Dong‐Ho Lee, Jay Pujara, Ryen W. White and Sunil Kumar Jauhar and has published in prestigious journals such as Pattern Recognition Letters, Information Systems Frontiers and Journal of Computational and Theoretical Nanoscience.

In The Last Decade

Mohit Sewak

23 papers receiving 449 citations

Author Peers

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

Author						Papers	Cites
Mohit Sewak	201	176	148	98	59	24	478
José Luis Flores	129 0.6×	174 1.0×	77 0.5×	86 0.9×	62 1.1×	28	498
Seok-Jun Bu	226 1.1×	259 1.5×	232 1.6×	124 1.3×	39 0.7×	22	459
Hongjun Choi	281 1.4×	215 1.2×	118 0.8×	92 0.9×	78 1.3×	50	538
Mohssen Mohammed	146 0.7×	165 0.9×	105 0.7×	90 0.9×	17 0.3×	20	493
Vasiliy Krundyshev	242 1.2×	140 0.8×	87 0.6×	108 1.1×	96 1.6×	32	417
Lei Zhang	156 0.8×	118 0.7×	128 0.9×	94 1.0×	18 0.3×	43	432
Ankit Shah	220 1.1×	134 0.8×	94 0.6×	143 1.5×	77 1.3×	36	445
Qiben Yan	106 0.5×	177 1.0×	106 0.7×	106 1.1×	26 0.4×	22	409
Zahoor Ur Rehman	202 1.0×	138 0.8×	89 0.6×	82 0.8×	20 0.3×	24	508
Pekka Kilpeläinen	157 0.8×	229 1.3×	89 0.6×	91 0.9×	15 0.3×	32	523

Countries citing papers authored by Mohit Sewak

Since Specialization

Citations

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

Fields of papers citing papers by Mohit Sewak

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohit Sewak

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