Rahul Katarya

132 papers receiving 2.2k citations

Rahul Katarya's Hit Papers

Securing Industry 5.0: An explainable deep learning model for intrusion detection in cyber-physical systems 2025 · 16 citations
160+1+3Years since publication4080120

Peers

Rahul Katarya
Comparison fields: 5 of 154
  • Health Information Management 253
  • Health Informatics 62
  • Information Systems 715
  • Artificial Intelligence 1.0k
  • Computer Vision and Pattern Recognition 372
Replace Saleem Ullah with:
Saleem Ullah Pakistan
Aditya Khamparia India
Piyush Kumar Shukla India
Xujuan Zhou Australia
Usman Qamar Pakistan
M. Irfan Uddin Pakistan
Mabrook Al‐Rakhami Saudi Arabia
Aytuğ Onan Türkiye
Sonali Agarwal India
Senthilkumar Mohan India
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Citations per year

Countries citing papers authored by Rahul Katarya

Since Specialization
Citations

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

Fields of papers citing papers by Rahul Katarya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Rahul Katarya, 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 Rahul Katarya Line = papers co-authored together Rahul Katarya links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 142 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020188
2
hyOPTXg: OPTUNA hyper-parameter optimization framework for predicting cardiovascular disease using XGBoost
Hit paper breakdown →
2021146
3 2020124
4 2020111
5 201699
6
Deep learning enabled intrusion detection system for Industrial IOT environment
Hit paper breakdown →
202492
7 202089
8 201680
9 201678
10 201970
11 201869
12 202158
13 201756
14 202254
15 201852
16 202049
17 201647
18 202046
19 201640
20 202333

About Rahul Katarya

Rahul Katarya is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Computer Vision and Pattern Recognition and Signal Processing, having authored 142 papers that have together received 2.3k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (28 papers), Spam and Phishing Detection (18 papers), Sentiment Analysis and Opinion Mining (17 papers), Advanced Malware Detection Techniques (14 papers), Complex Network Analysis Techniques (13 papers), Data Stream Mining Techniques (12 papers), Artificial Intelligence in Healthcare (12 papers) and Network Security and Intrusion Detection (12 papers). The work is most often cited by research in Health Information Management (253 citations), Health Informatics (62 citations), Information Systems (715 citations), Artificial Intelligence (1.0k citations) and Computer Vision and Pattern Recognition (372 citations). Rahul Katarya has collaborated with scholars based in India, Thailand and South Africa. Frequent co-authors include Om Prakash Verma, P. V. S. Srinivas, Lokesh Jain, Anjum Ansari, Himanshu Nandanwar, Anunay Gupta, Shelly Sachdeva, Garima Gupta, Rahul Kumar and Ghanshyam Singh. Their work appears in journals such as Multimedia Tools and Applications, Expert Systems with Applications, Engineering Analysis with Boundary Elements, Applied Soft Computing and Neural Computing and Applications.

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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