Mayank Agarwal

2.3k citations

129 papers · 1.4k · 1 hit paper · h-index 20

Impact in

Health Informatics top 5%
Signal Processing top 5%
- Advanced Malware Detection Techniques

Papers in

Computer Networks and Communications 40
- Network Security and Intrusion Detection 25
- Wireless Networks and Protocols 8
Artificial Intelligence 35
- Internet Traffic Analysis and Secure E-voting 13
- Topic Modeling 6

Co-authors: Sukumar Nandi (12 shared papers)Santosh Biswas (10 shared papers)Vishal Deshpande (17 shared papers)Himanshu Agrawal (3 shared papers)John Lygeros (3 shared papers)Eugenio Cinquemani (3 shared papers)Debasish Chatterjee (3 shared papers)Manish Kumar Goyal (2 shared papers)
Journals: Scientific Reports (3 papers)IEEE/CAA Journal of Automatica Sinica (2 papers)Engineering Applications of Artificial Intelligence (2 papers)Results in Engineering (2 papers)Natural Hazards (2 papers)
Partner nations: India United States Ireland

In The Last Decade

Mayank Agarwal

117 papers receiving 1.3k citations

Mayank Agarwal's Hit Papers

align trajectories log scale

Investigating Explainability of Generative AI for Code through Scenario-based Design 2022 · 141 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2022 Investigating Explainability of Generative AI for Code through Scenario-based Design

Peers

Countries citing papers authored by Mayank Agarwal

Since Specialization

Citations

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

Fields of papers citing papers by Mayank Agarwal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mayank Agarwal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mayank Agarwal Line = papers co-authored together Mayank Agarwal links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 129 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Investigating Explainability of Generative AI for Code through Scenario-based Design Jiao Sun, Q. Vera Liao, Michael Müller, Mayank Agarwal, Stephanie Houde, Kartik Talamadupula, Justin D. Weisz Hit paper breakdown →	2022	141
2	Bayesian Nonparametric Federated Learning of Neural Networks arXiv (Cornell University) ·Mikhail Yurochkin, Mayank Agarwal, Soumya Ghosh, Kristjan Greenewald, Trong Nghia Hoang, Yasaman Khazaeni	2019	82
3	Convexity and convex approximations of discrete-time stochastic control problems with constraints Automatica ·Eugenio Cinquemani, Mayank Agarwal, Debasish Chatterjee, John Lygeros	2011	63
4	Face Recognition Using Eigen Faces and Artificial Neural Network International Journal of Computer Theory and Engineering ·Mayank Agarwal, Nikunj Jain, Manish Kumar, Himanshu Agrawal	2010	63
5	Face Recognition Using Principle Component Analysis, Eigenface and Neural Network Swinburne Research Bank (Swinburne University of Technology) ·Mayank Agarwal, Himanshu Agrawal, Nikunj Jain, Manish Kumar	2010	58
6	PM2.5 air pollution prediction through deep learning using meteorological, vehicular, and emission data: A case study of New Delhi, India Journal of Cleaner Production ·Deepti Shakya, Vishal Deshpande, Manish Kumar Goyal, Mayank Agarwal	2023	47
7	Machine learning approach for detection of flooding DoS attacks in 802.11 networks and attacker localization International Journal of Machine Learning and Cybernetics ·Mayank Agarwal, Dileep Pasumarthi, Santosh Biswas, Sukumar Nandi	2014	45
8	On convex problems in chance-constrained stochastic model predictive control arXiv (Cornell University) ·Eugenio Cinquemani, Mayank Agarwal, Debasish Chatterjee, John Lygeros	2009	44
9	CAPNet: Continuous Approximation Projection for 3D Point Cloud Reconstruction Using 2D Supervision Proceedings of the AAAI Conference on Artificial Intelligence ·K L Navaneet, Priyanka Mandikal, Mayank Agarwal, R. Venkatesh Babu	2019	43
10	Estimation of time dependent scour depth around circular bridge piers: Application of ensemble machine learning methods Ocean Engineering ·Sanjit Kumar, Manish Kumar Goyal, Vishal Deshpande, Mayank Agarwal	2023	43
11	An Efficient Scheme to Detect Evil Twin Rogue Access Point Attack in 802.11 Wi-Fi Networks International Journal of Wireless Information Networks ·Mayank Agarwal, Santosh Biswas, Sukumar Nandi	2018	34
12	Detection of De-Authentication DoS Attacks in Wi-Fi Networks: A Machine Learning Approach Mayank Agarwal, Santosh Biswas, Sukumar Nandi	2015	33
13	Long short-term memory-singular spectrum analysis-based model for electric load forecasting Electrical Engineering ·Neeraj Neeraj, Jimson Mathew, Mayank Agarwal, Ranjan Kumar Behera	2020	33
14	Discrete event system framework for fault diagnosis with measurement inconsistency: case study of rogue DHCP attack IEEE/CAA Journal of Automatica Sinica ·Mayank Agarwal, Santosh Biswas, Sukumar Nandi	2017	31
15	Advanced Stealth Man-in-The-Middle Attack in WPA2 Encrypted Wi-Fi Networks IEEE Communications Letters ·Mayank Agarwal, Santosh Biswas, Sukumar Nandi	2015	29
16	Intrusion detection system for PS-Poll DoS attack in 802.11 networks using real time discrete event system IEEE/CAA Journal of Automatica Sinica ·Mayank Agarwal, Sanketh Purwar, Santosh Biswas, Sukumar Nandi	2016	28
17	Detection of De-authentication Denial of Service attack in 802.11 networks Mayank Agarwal, Santosh Biswas, Sukumar Nandi	2013	26
18	Predicting total sediment load transport in rivers using regression techniques, extreme learning and deep learning models Artificial Intelligence Review ·Deepti Shakya, Vishal Deshpande, Bimlesh Kumar, Mayank Agarwal	2023	23
19	A STRONG MOTION MODEL OF THE 2004 GREAT SUMATRA EARTHQUAKE: SIMULATION USING A MODIFIED SEMI EMPIRICAL METHOD Journal of Earthquake and Tsunami ·A. Joshi, Pushpa Kumari, M. L. Sharma, Ashish Ghosh, Mayank Agarwal, A. Ravikiran	2012	22
20	Mitigating denial of service attack using CAPTCHA mechanism M. Mehra, Mayank Agarwal, Renuka Pawar, D. Shah	2011	20

About Mayank Agarwal

Mayank Agarwal is a scholar working on Computer Networks and Communications, Artificial Intelligence, Information Systems, Electrical and Electronic Engineering and Ecology, having authored 129 papers that have together received 1.4k indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (25 papers), Hydrology and Sediment Transport Processes (13 papers), Internet Traffic Analysis and Secure E-voting (13 papers), Advanced Malware Detection Techniques (11 papers), Wireless Networks and Protocols (8 papers), Hydraulic flow and structures (8 papers), Parallel Computing and Optimization Techniques (7 papers) and Topic Modeling (6 papers). The work is most often cited by research in Health Informatics (33 citations), Signal Processing (163 citations), Computer Networks and Communications (316 citations), Artificial Intelligence (393 citations) and Computer Vision and Pattern Recognition (192 citations). Mayank Agarwal has collaborated with scholars based in India, United States and Ireland. Frequent co-authors include Sukumar Nandi, Santosh Biswas, Vishal Deshpande, Himanshu Agrawal, John Lygeros, Eugenio Cinquemani, Debasish Chatterjee, Manish Kumar Goyal, Kartik Talamadupula and Q. Vera Liao. Their work appears in journals such as Scientific Reports, IEEE/CAA Journal of Automatica Sinica, Engineering Applications of Artificial Intelligence, Results in Engineering and Natural Hazards.

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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Mayank Agarwal

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Mayank Agarwal

Mayank Agarwal's Hit Papers

Peers

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Fields of papers citing papers by Mayank Agarwal

All Works

About Mayank Agarwal

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