Romil Rawat

2.1k total citations
28 papers, 199 citations indexed

About

Romil Rawat is a scholar working on Information Systems, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Romil Rawat has authored 28 papers receiving a total of 199 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Information Systems, 13 papers in Artificial Intelligence and 11 papers in Signal Processing. Recurrent topics in Romil Rawat's work include Advanced Malware Detection Techniques (11 papers), Network Security and Intrusion Detection (10 papers) and Cybercrime and Law Enforcement Studies (9 papers). Romil Rawat is often cited by papers focused on Advanced Malware Detection Techniques (11 papers), Network Security and Intrusion Detection (10 papers) and Cybercrime and Law Enforcement Studies (9 papers). Romil Rawat collaborates with scholars based in India, Spain and Nigeria. Romil Rawat's co-authors include Rishika Yadav, K. Sakthidasan Sankaran, Vinod Mahor, Ramakant Bhardwaj, José L. Gonzáles, Piyush Vyas, Anand Rajavat, Debajyoti Mukhopadhyay, Robin Cohen and Ankush Ghosh and has published in prestigious journals such as Journal of Intelligent & Fuzzy Systems, International Journal of Information Technology and International Journal of Information Security and Privacy.

In The Last Decade

Romil Rawat

22 papers receiving 191 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Romil Rawat India	9	104	64	57	42	19	28	199
Morakot Choetkiertikul Thailand	12	266 2.6×	86 1.3×	62 1.1×	26 0.6×	8 0.4×	39	324
Cyril Onwubiko United Kingdom	11	169 1.6×	50 0.8×	142 2.5×	53 1.3×	7 0.4×	28	260
Sonali Patil India	10	96 0.9×	64 1.0×	51 0.9×	52 1.2×	65 3.4×	50	240
P. Sreenivasa Kumar India	8	80 0.8×	125 2.0×	94 1.6×	66 1.6×	16 0.8×	35	209
Li-Shiang Tsay United States	8	113 1.1×	77 1.2×	32 0.6×	24 0.6×	8 0.4×	13	172
Allen D. Householder United States	6	114 1.1×	43 0.7×	100 1.8×	65 1.5×	9 0.5×	9	183
Manfred Vielberth Germany	7	133 1.3×	36 0.6×	106 1.9×	55 1.3×	7 0.4×	14	233
Oluwasefunmi Arogundade Nigeria	8	98 0.9×	35 0.5×	40 0.7×	19 0.5×	6 0.3×	39	178
Theo P. van der Weide Netherlands	9	83 0.8×	119 1.9×	76 1.3×	51 1.2×	14 0.7×	24	189

Countries citing papers authored by Romil Rawat

Since Specialization

Citations

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

Fields of papers citing papers by Romil Rawat

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Romil Rawat

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

Rawat, Romil. (2025). Optimizing ML models for cybercrime detection: balancing performance, energy consumption, and carbon footprint through multi-objective optimization. Discover Artificial Intelligence. 5(1).

Rawat, Romil, et al.. (2024). Online social network automation attack detection methods for energy analysis and consumption modelling. International Journal of Information Technology.

Rawat, Romil, et al.. (2024). Enhanced Cybercrime Detection on Twitter Using Aho-Corasick Algorithm and Machine Learning Techniques. Informatica. 48(18).

Rawat, Romil & Anand Rajavat. (2024). Illicit Events Evaluation Using NSGA-2 Algorithms Based on Energy Consumption. Informatica. 48(18).

Rawat, Romil & Anand Rajavat. (2024). Perceptual Operating Systems for the Trade Associations of Cyber Criminals to Scrutinize Hazardous Content. 14(1). 1–19. 1 indexed citations

Rawat, Romil, et al.. (2023). Association rule learning for threat analysis using traffic analysis and packet filtering approach. International Journal of Information Technology. 15(6). 3245–3255. 10 indexed citations

Rawat, Romil, Olukayode Oki, K. Sakthidasan Sankaran, Héctor Flórez, & Sunday Adeola Ajagbe. (2023). Techniques for predicting dark web events focused on the delivery of illicit products and ordered crime. International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering. 13(5). 5354–5354. 2 indexed citations

Rawat, Romil, et al.. (2023). Intelligent Fog Computing Surveillance System for Crime and Vulnerability Identification and Tracing. International Journal of Information Security and Privacy. 17(1). 1–25. 7 indexed citations

Rawat, Romil, et al.. (2023). Autonomous Artificial Intelligence Systems for Fraud Detection and Forensics in Dark Web Environments. Informatica. 47(9). 6 indexed citations

10.

Rawat, Romil, et al.. (2022). SCNTA. International Journal of Information Technology and Web Engineering. 17(1). 1–19. 5 indexed citations

11.

Rawat, Romil, et al.. (2022). Malware Threat Affecting Financial Organization Analysis Using Machine Learning Approach. International Journal of Information Technology and Web Engineering. 17(1). 1–20. 36 indexed citations

12.

Rawat, Romil, et al.. (2022). Malevolent Information Crawling Mechanism for Forming Structured Illegal Organisations in Hidden Networks. 12(1). 1–14. 2 indexed citations

13.

Mahor, Vinod, et al.. (2021). Machine Learning based Detection of Cyber Crime Hub Analysis using Twitter Data. 2021 IEEE 4th International Conference on Computing, Power and Communication Technologies (GUCON). 1–5. 8 indexed citations

14.

Rawat, Romil, et al.. (2021). Analyzing Newspaper Articles for Text-Related Data for Finding Vulnerable Posts Over the Internet That Are Linked to Terrorist Activities. International Journal of Information Security and Privacy. 16(1). 1–14. 3 indexed citations

15.

Rawat, Romil, et al.. (2021). Malware Inputs Detection Approach (Tool) based on Machine Learning [MIDT-SVM]. SSRN Electronic Journal.

16.

Rawat, Romil & Rishika Yadav. (2021). Big Data: Big Data Analysis, Issues and Challenges and Technologies. IOP Conference Series Materials Science and Engineering. 1022(1). 12014–12014. 29 indexed citations

17.

Mahor, Vinod, et al.. (2021). Cyber Warfare Threat Categorization on CPS by Dark Web Terrorist. 2021 IEEE 4th International Conference on Computing, Power and Communication Technologies (GUCON). 1–6. 5 indexed citations

18.

Rawat, Romil, et al.. (2019). Cadastral Boundary Extraction and Image Classification Using OBIA and Machine Learning for National Land Records Modernization Programme in India. 8(2). 1–7. 2 indexed citations

19.

Kumar, Anil, et al.. (2016). Evaluation of Radon Concentration in Indoor Air and Groundwater in Shahjahanpur, Uttar Pradesh, India. International Journal of Science and Research (IJSR). 5(1). 2045–2048. 1 indexed citations

20.

Rawat, Romil, et al.. (2012). SQL injection attack Detection using SVM. International Journal of Computer Applications. 42(13). 1–4. 30 indexed citations

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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