Prateek Agrawal

1.2k total citations · 1 hit paper
67 papers, 621 citations indexed

About

Prateek Agrawal is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Prateek Agrawal has authored 67 papers receiving a total of 621 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 23 papers in Computer Vision and Pattern Recognition and 12 papers in Information Systems. Recurrent topics in Prateek Agrawal's work include Video Surveillance and Tracking Methods (7 papers), Natural Language Processing Techniques (6 papers) and Topic Modeling (5 papers). Prateek Agrawal is often cited by papers focused on Video Surveillance and Tracking Methods (7 papers), Natural Language Processing Techniques (6 papers) and Topic Modeling (5 papers). Prateek Agrawal collaborates with scholars based in India, Austria and Russia. Prateek Agrawal's co-authors include Radu Prodan, Vishu Madaan, Pawan Kumar Verma, Sanjay Kumar Singh, Meenakshi Sharma, Christian Timmerer, Charu Gupta, Cristian Bologa, Anand Sharma and Harjeet Kaur and has published in prestigious journals such as SHILAP Revista de lepidopterología, Information and Software Technology and Multimedia Tools and Applications.

In The Last Decade

Prateek Agrawal

54 papers receiving 576 citations

Hit Papers

WELFake: Word Embedding Over Linguistic Features for Fake... 2021 2026 2022 2024 2021 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. WELFake: Word Embedding Over Linguistic Features for Fake News Detection
    2021 165 citations Pawan Kumar Verma, Prateek Agrawal et al. profile →

Peers

Prateek Agrawal
Jimmy Singla India
Amerah Alabrah Saudi Arabia
Yan Zhu China
Bader Alouffi Saudi Arabia
Y. Ding China
Muhammad Kamran Pakistan
Ja’far Alqatawna Jordan
Waleed Alomoush United Arab Emirates
Pinki Roy India
Fei Yan China
Jimmy Singla India
Prateek Agrawal
Citations per year, relative to Prateek Agrawal Prateek Agrawal (= 1×) peers Jimmy Singla

Countries citing papers authored by Prateek Agrawal

Since Specialization
Citations

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

Fields of papers citing papers by Prateek Agrawal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prateek Agrawal

This figure shows the co-authorship network connecting the top 25 collaborators of Prateek Agrawal. A scholar is included among the top collaborators of Prateek Agrawal 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 Prateek Agrawal. Prateek Agrawal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Agrawal, Prateek, et al.. (2025). LPITutor: an LLM based personalized intelligent tutoring system using RAG and prompt engineering. PeerJ Computer Science. 11. e2991–e2991. 1 indexed citations
2.
Agrawal, Prateek, et al.. (2024). VPE-Net: Simultaneous Measurement of Heart Rate, Respiration Rate, and Blood Pressure from PPG. Computing in cardiology. 51.
3.
Pattanaik, Priyadarshini Adyasha, et al.. (2024). Enhancement of retinal images through modified anisotropic diffusion. 7. 12–12. 1 indexed citations
4.
Agrawal, Prateek, et al.. (2024). A Novel Approach for Surveillance Compression using Neural Network Technique. International Research Journal of Multidisciplinary Technovation. 77–89.
5.
Agrawal, Prateek, et al.. (2023). Framework for identifying network attacks through packet inspection using machine learning. Nonlinear Engineering. 12(1). 1 indexed citations
6.
Bhatnagar, Vishal, et al.. (2023). Integration of Cloud Computing with Emerging Technologies. 6 indexed citations
7.
Verma, Pawan Kumar, Prateek Agrawal, Vishu Madaan, & Radu Prodan. (2022). MCred: multi-modal message credibility for fake news detection using BERT and CNN. Journal of Ambient Intelligence and Humanized Computing. 14(8). 10617–10629. 34 indexed citations
8.
Madaan, Vishu, Charu Gupta, Prateek Agrawal, et al.. (2021). XCOVNet: Chest X-ray Image Classification for COVID-19 Early Detection Using Convolutional Neural Networks. New Generation Computing. 39(3-4). 583–597. 46 indexed citations
9.
Gupta, Charu, et al.. (2021). HuDA_COVID Human Disposition Analysis During COVID-19 Using Machine Learning. International Journal of E-Health and Medical Communications. 13(2). 1–15.
10.
Agrawal, Prateek, et al.. (2020). ComplexCTTP: Complexity Class Based Transcoding Time Prediction for Video Sequences Using Artificial Neural Network. Zenodo (CERN European Organization for Nuclear Research). 316–325. 9 indexed citations
11.
Madaan, Vishu, et al.. (2019). Smart Border Surveillance System using Wireless Sensor Network and Computer Vision. 183–190. 27 indexed citations
12.
Agrawal, Prateek, et al.. (2018). Sheershak: an Automatic Title Generation Tool for Hindi Short Stories. 579–584.
13.
Agrawal, Prateek, et al.. (2018). Moving Object Detection and Recognition Using Optical Flow and Eigen Face Using Low Resolution Video. Recent Advances in Computer Science and Communications. 13(6). 1180–1187. 2 indexed citations
14.
Agrawal, Prateek, et al.. (2017). English to Sanskrit Transliteration: an effective approach to design Natural Language Translation Tool. International Journal of Advanced Research in Computer Science. 8(1). 103–107. 6 indexed citations
15.
Das, Arpita, et al.. (2017). Discovery and Promotion of Subtopic Level High Quality Domains for Programming Queries in Web Search.. 1 indexed citations
16.
Agrawal, Prateek, et al.. (2016). Design of Quantum Dot Cellular Automata Based Parity Generator and Checker with Minimum Clocks and Latency. International Journal of Modern Education and Computer Science. 8(8). 11–20. 10 indexed citations
17.
Agrawal, Prateek, et al.. (2015). Text independent root word identification in Hindi language using natural language processing. International Journal of Advanced Intelligence Paradigms. 7(3/4). 240–240. 6 indexed citations
18.
Agrawal, Prateek, et al.. (2012). Analysis and Synthesis of an Ant Colony Optimization Technique for Image Edge Detection. 127–131. 12 indexed citations
19.
Agrawal, Prateek, et al.. (2012). Crouzon syndrome. BMJ Case Reports. 2012. bcr0520114196–bcr0520114196. 5 indexed citations
20.
Kaur, Harjeet, et al.. (2012). Visualizing Clouds on Different Stages of DWH - An Introduction to Data Warehouse as a Service. 356–359. 3 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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