Pooja Agarwal

586 total citations
42 papers, 405 citations indexed

About

Pooja Agarwal is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Pooja Agarwal has authored 42 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 8 papers in Computer Networks and Communications. Recurrent topics in Pooja Agarwal's work include Image and Video Quality Assessment (8 papers), Multimedia Communication and Technology (7 papers) and Peer-to-Peer Network Technologies (4 papers). Pooja Agarwal is often cited by papers focused on Image and Video Quality Assessment (8 papers), Multimedia Communication and Technology (7 papers) and Peer-to-Peer Network Technologies (4 papers). Pooja Agarwal collaborates with scholars based in India, United States and Canada. Pooja Agarwal's co-authors include Ahsan Arefin, Klara Nahrstedt, Himanshu Khurana, Wanmin Wu, Zixia Huang, R.P. Klump, Joseph Euzebe Tate, Tim Yardley, Rakesh B. Bobba and Sunil Puri and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Medicinal Chemistry and Multimedia Tools and Applications.

In The Last Decade

Pooja Agarwal

30 papers receiving 385 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pooja Agarwal India 11 130 81 73 67 65 42 405
Hong‐Yi Chang Taiwan 12 75 0.6× 195 2.4× 85 1.2× 13 0.2× 19 0.3× 53 449
Pratyush Kumar Switzerland 12 41 0.3× 186 2.3× 111 1.5× 40 0.6× 17 0.3× 39 535
Mirko Polato Italy 12 67 0.5× 55 0.7× 207 2.8× 23 0.3× 32 0.5× 38 502
Kai Zhou United States 12 88 0.7× 97 1.2× 204 2.8× 46 0.7× 29 0.4× 53 412
Ratan K. Guha United States 12 76 0.6× 229 2.8× 171 2.3× 46 0.7× 74 1.1× 71 459
Anil Ahlawat India 12 98 0.8× 103 1.3× 136 1.9× 23 0.3× 18 0.3× 66 451
S. Venkatesan India 11 52 0.4× 180 2.2× 194 2.7× 4 0.1× 27 0.4× 50 402
Shakoor Muhammad Pakistan 9 47 0.4× 82 1.0× 129 1.8× 54 0.8× 16 0.2× 16 413
Petri Vuorimaa Finland 11 166 1.3× 135 1.7× 120 1.6× 28 0.4× 223 3.4× 72 480

Countries citing papers authored by Pooja Agarwal

Since Specialization
Citations

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

Fields of papers citing papers by Pooja Agarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pooja Agarwal

This figure shows the co-authorship network connecting the top 25 collaborators of Pooja Agarwal. A scholar is included among the top collaborators of Pooja Agarwal 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 Pooja Agarwal. Pooja Agarwal 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.
2.
Agarwal, Pooja, et al.. (2024). DepXGBoot: Depression detection using a robust tuned extreme gradient boosting model generator. IAES International Journal of Artificial Intelligence. 13(4). 4352–4352.
3.
Agarwal, Pooja, et al.. (2024). Advanced Reinforcement Learning Based Penetration Testing. 1–6.
4.
5.
Agarwal, Pooja, et al.. (2024). Aloe Vera Disease Prediction using Machine Learning Techniques. 1117–1122.
6.
Agarwal, Pooja, et al.. (2023). Swarm Learning In Autonomous Driving: A Privacy Preserving Approach. 271–277. 2 indexed citations
7.
Agarwal, Pooja, et al.. (2023). Detail-Preserving Video-based Virtual Try-On (DPV-VTON). 57–66. 1 indexed citations
8.
Agarwal, Pooja, et al.. (2023). A Systematic Review and Future Perspective of Mental Illness Detection Using Artificial Intelligence on Multimodal Digital Media. Lecture notes in networks and systems. 35–46. 5 indexed citations
9.
10.
Agarwal, Pooja, et al.. (2021). COVID-19 and CAPM: a tale of reference dependence with the pharma stocks’ returns. SHILAP Revista de lepidopterología.
11.
Agarwal, Pooja, et al.. (2020). Vehicle Trajectory Prediction using GAN. 2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC). 502–507. 7 indexed citations
12.
Agarwal, Prashant, et al.. (2020). IoT based Framework for Smart Campus: COVID-19 Readiness. 539–542. 12 indexed citations
13.
Agarwal, Pooja, et al.. (2019). Aviation Delay Estimation using Deep Learning. 689–693. 5 indexed citations
14.
Pandey, Shashi, Pooja Agarwal, Kumkum Srivastava, et al.. (2013). Synthesis and bioevaluation of novel 4-aminoquinoline-tetrazole derivatives as potent antimalarial agents. European Journal of Medicinal Chemistry. 66. 69–81. 69 indexed citations
15.
Agarwal, Pooja, et al.. (2013). Research Paper on Artificial Intelligence. Zenodo (CERN European Organization for Nuclear Research).
16.
Wu, Wanmin, Ahsan Arefin, Gregorij Kurillo, et al.. (2012). CZLoD. ACM Transactions on Multimedia Computing Communications and Applications. 8(3s). 1–21. 5 indexed citations
17.
Huang, Zixia, Ahsan Arefin, Pooja Agarwal, Klara Nahrstedt, & Wanmin Wu. (2011). Understanding the Human Perceptions in Tele-Immersive Shared Activity. Illinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign). 1 indexed citations
18.
Arya, Arti, et al.. (2010). Automatic Fuzzy Classification Tool for Customer Loyalty using Gaussian Membership Function. 2(7). 168–173.
19.
Agarwal, Pooja, et al.. (2010). Bundle of Streams: Concept and Evaluation in Distributed Interactive Multimedia Environments. 13. 25–32. 11 indexed citations
20.
Khurana, Himanshu, et al.. (2010). Design Principles for Power Grid Cyber-Infrastructure Authentication Protocols. 1–10. 51 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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