Mohit Sewak

1.3k total citations
24 papers, 490 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 490 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), Adversarial Robustness in Machine Learning (11 papers) and Network Security and Intrusion Detection (11 papers). Mohit Sewak is often cited by papers focused on Advanced Malware Detection Techniques (14 papers), Adversarial Robustness in Machine Learning (11 papers) and Network Security and Intrusion Detection (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, Md. Rezaul Karim, P.K. Pujari, Dong‐Ho Lee, Jay Pujara, Sunil Kumar Jauhar and Ryen W. White 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 462 citations

Peers

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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20 of 20 papers shown

#	Work	Indexed citations
1	Making Large Language Models Better Data Creators 2023 ·Dong‐Ho Lee, Jay Pujara, Mohit Sewak, Ryen W. White, Sunil Kumar Jauhar	5
2	Adversarial superiority in android malware detection: Lessons from reinforcement learning based evasion attacks and defenses 2023 ·Forensic Science International Digital Investigation ·Hemant Rathore, (unknown), Sanjay K. Sahay, Mohit Sewak	13
3	Are Malware Detection Classifiers Adversarially Vulnerable to Actor-Critic based Evasion Attacks? 2022 ·ICST Transactions on Scalable Information Systems ·Hemant Rathore, (unknown), Sanjay K. Sahay, Mohit Sewak	4
4	Deep Reinforcement Learning for Cybersecurity Threat Detection and Protection: A Review 2022 ·Communications in computer and information science ·Mohit Sewak, Sanjay K. Sahay, Hemant Rathore	21
5	Deep Reinforcement Learning in the Advanced Cybersecurity Threat Detection and Protection 2022 ·Information Systems Frontiers ·Mohit Sewak, Sanjay K. Sahay, Hemant Rathore	50
6	Defending malware detection models against evasion based adversarial attacks 2022 ·Pattern Recognition Letters ·Hemant Rathore, (unknown), Sanjay K. Sahay, Mohit Sewak	3
7	Towards Adversarially Superior Malware Detection Models: An Adversary Aware Proactive Approach using Adversarial Attacks and Defenses 2022 ·Information Systems Frontiers ·Hemant Rathore, (unknown), Sanjay K. Sahay, Mohit Sewak	5
8	Neural AutoForensics: Comparing Neural Sample Search and Neural Architecture Search for malware detection and forensics 2022 ·Forensic Science International Digital Investigation ·Mohit Sewak, Sanjay K. Sahay, Hemant Rathore	0
9	DRLDO A Novel DRL based De obfuscation System for Defence Against Metamorphic Malware 2021 ·Defence Science Journal ·Mohit Sewak, Sanjay K. Sahay, Hemant Rathore	7
10	Identification of Adversarial Android Intents using Reinforcement Learning 2021 ·Hemant Rathore, (unknown), Sanjay K. Sahay, Mohit Sewak	3
11	Robust Malware Detection Models: Learning from Adversarial Attacks and Defenses 2021 ·Forensic Science International Digital Investigation ·Hemant Rathore, (unknown), Sanjay K. Sahay, Mohit Sewak	12
12	Are Android Malware Detection Models Adversarially Robust? 2021 ·Hemant Rathore, Sanjay K. Sahay, Mohit Sewak	1
13	Robust Android Malware Detection System Against Adversarial Attacks Using Q-Learning 2020 ·Information Systems Frontiers ·Hemant Rathore, Sanjay K. Sahay, (unknown), Mohit Sewak	47
14	An Overview of Deep Learning Architecture of Deep Neural Networks and Autoencoders 2020 ·Journal of Computational and Theoretical Nanoscience ·Mohit Sewak, Sanjay K. Sahay, Hemant Rathore	75
15	Deep Reinforcement Learning: Frontiers of Artificial Intelligence 2019 ·CERN Document Server (European Organization for Nuclear Research) ·Mohit Sewak	22
16	Winning in the Era of Serverless Computing and Function as a Service 2018 ·Mohit Sewak, Sachchidanand Singh	31
17	Practical Convolutional Neural Networks: Implement advanced deep learning models using Python 2018 ·Md. Rezaul Karim, P.K. Pujari, Mohit Sewak	42
18	IoT and distributed machine learning powered optimal state recommender solution 2016 ·Mohit Sewak, Sachchidanand Singh	14
19	A Reference Architecture and Road map for Enabling E-commerce on Apache Spark 2015 ·Communications on Applied Electronics ·Mohit Sewak, Sachchidanand Singh	3
20	In pursuit of the best Artificial Neural Network for predicting the most complex data 2015 ·Mohit Sewak, Sachchidanand Singh	2

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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