Pratik Narang

3.3k total citations · 3 hit papers
48 papers, 2.0k citations indexed

About

Pratik Narang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Pratik Narang has authored 48 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 13 papers in Information Systems. Recurrent topics in Pratik Narang's work include Spam and Phishing Detection (13 papers), Image Enhancement Techniques (11 papers) and Misinformation and Its Impacts (9 papers). Pratik Narang is often cited by papers focused on Spam and Phishing Detection (13 papers), Image Enhancement Techniques (11 papers) and Misinformation and Its Impacts (9 papers). Pratik Narang collaborates with scholars based in India, United States and Singapore. Pratik Narang's co-authors include Rohit Kumar Kaliyar, Anurag Goswami, Soumendu Sinha, Deepak Garg, Vipul Kumar Mishra, Balmukund Mishra, Vinay Chamola, Murari Mandal, Mukund Lahoti and Kang Hai Tan and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Vehicular Technology and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Pratik Narang

48 papers receiving 1.9k citations

Hit Papers

FakeBERT: Fake news detection in social media with a BERT... 2020 2026 2022 2024 2021 2020 2020 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pratik Narang India 19 866 792 721 442 354 48 2.0k
Yuan Tian China 26 197 0.2× 300 0.4× 700 1.0× 315 0.7× 83 0.2× 123 2.0k
Abdulrahman Alarifi Saudi Arabia 15 129 0.1× 335 0.4× 302 0.4× 122 0.3× 248 0.7× 40 1.5k
Zhenguang Liu China 23 80 0.1× 939 1.2× 853 1.2× 843 1.9× 241 0.7× 102 2.4k
Mansour Alsaleh Saudi Arabia 15 122 0.1× 308 0.4× 228 0.3× 122 0.3× 230 0.6× 33 1.4k
Jeremy Straub United States 20 117 0.1× 213 0.3× 267 0.4× 206 0.5× 73 0.2× 368 2.1k
Feng Wang China 28 68 0.1× 185 0.2× 266 0.4× 456 1.0× 111 0.3× 145 2.3k
Song Yang China 10 359 0.4× 214 0.3× 297 0.4× 125 0.3× 54 0.2× 36 967
Chenglin Miao United States 20 110 0.1× 146 0.2× 659 0.9× 370 0.8× 268 0.8× 49 1.7k
Ickjai Lee Australia 22 160 0.2× 345 0.4× 556 0.8× 269 0.6× 436 1.2× 111 1.7k
Imran Memon China 23 154 0.2× 276 0.3× 508 0.7× 203 0.5× 110 0.3× 62 1.4k

Countries citing papers authored by Pratik Narang

Since Specialization
Citations

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

Fields of papers citing papers by Pratik Narang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pratik Narang

This figure shows the co-authorship network connecting the top 25 collaborators of Pratik Narang. A scholar is included among the top collaborators of Pratik Narang 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 Pratik Narang. Pratik Narang 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.
Narang, Pratik, et al.. (2024). InFER++: Real-World Indian Facial Expression Dataset. SHILAP Revista de lepidopterología. 5. 406–417. 1 indexed citations
2.
Narang, Pratik, et al.. (2024). FAIR-FER: A Latent Alignment Approach for Mitigating Bias in Facial Expression Recognition (Student Abstract). Proceedings of the AAAI Conference on Artificial Intelligence. 38(21). 23633–23634. 1 indexed citations
3.
Chamola, Vinay, et al.. (2023). AGD-Net: Attention-Guided Dense Inception U-Net for Single-Image Dehazing. Cognitive Computation. 16(2). 788–801. 5 indexed citations
4.
Narang, Pratik, et al.. (2023). LVRNet: Lightweight Image Restoration for Aerial Images under Low Visibility (Student Abstract). Proceedings of the AAAI Conference on Artificial Intelligence. 37(13). 16294–16295. 2 indexed citations
5.
Kaliyar, Rohit Kumar, Anurag Goswami, Pratik Narang, & Vinay Chamola. (2022). Understanding the Use and Abuse of Social Media: Generalized Fake News Detection With a Multichannel Deep Neural Network. IEEE Transactions on Computational Social Systems. 11(4). 4878–4887. 15 indexed citations
6.
Narang, Pratik, et al.. (2022). Deep Learning Enhanced UAV Imagery for Critical Infrastructure Protection. IEEE Internet of Things Magazine. 5(2). 30–34. 7 indexed citations
7.
Mandal, Murari, et al.. (2022). Correction to “ReViewNet: A Fast and Resource Optimized Network for Enabling Safe Autonomous Driving in Hazy Weather Conditions” [Jul 21 4256-4266]. IEEE Transactions on Intelligent Transportation Systems. 23(3). 2888–2888. 2 indexed citations
8.
Kaliyar, Rohit Kumar, Anurag Goswami, & Pratik Narang. (2021). EchoFakeD: improving fake news detection in social media with an efficient deep neural network. Neural Computing and Applications. 33(14). 8597–8613. 72 indexed citations
9.
Mandal, Murari, et al.. (2021). Learning to Enhance Visual Quality via Hyperspectral Domain Mapping (Student Abstract). Proceedings of the AAAI Conference on Artificial Intelligence. 35(18). 15895–15896. 1 indexed citations
10.
Narang, Pratik, et al.. (2021). TheiaNet: Towards fast and inexpensive CNN design choices for image dehazing. Journal of Visual Communication and Image Representation. 77. 103137–103137. 20 indexed citations
11.
Mandal, Murari, et al.. (2021). Improving Aerial Instance Segmentation in the Dark with Self-Supervised Low Light Enhancement (Student Abstract). Proceedings of the AAAI Conference on Artificial Intelligence. 35(18). 15781–15782. 2 indexed citations
12.
Jain, Vidit, Rohit Kumar Kaliyar, Anurag Goswami, Pratik Narang, & Yashvardhan Sharma. (2021). AENeT: an attention-enabled neural architecture for fake news detection using contextual features. Neural Computing and Applications. 34(1). 771–782. 39 indexed citations
13.
Bansal, Gaurang, et al.. (2020). Deep3DSCan: Deep residual network and morphological descriptor based framework forlung cancer classification and 3D segmentation. IET Image Processing. 14(7). 1240–1247. 51 indexed citations
14.
Mishra, Balmukund, Deepak Garg, Pratik Narang, & Vipul Kumar Mishra. (2020). Drone-surveillance for search and rescue in natural disaster. Computer Communications. 156. 1–10. 253 indexed citations breakdown →
15.
Mishra, Balmukund, Deepak Garg, Pratik Narang, & Vipul Kumar Mishra. (2020). A hybrid approach for search and rescue using 3DCNN and PSO. Neural Computing and Applications. 33(17). 10813–10827. 8 indexed citations
16.
Kaliyar, Rohit Kumar, Anurag Goswami, Pratik Narang, & Soumendu Sinha. (2020). FNDNet – A deep convolutional neural network for fake news detection. Cognitive Systems Research. 61. 32–44. 300 indexed citations breakdown →
17.
Bhardwaj, Rishabh, et al.. (2017). Temperature compensation of ISFET based pH sensor using artificial neural networks. 155–158. 14 indexed citations
18.
Chamola, Vinay, Pratik Narang, & Biplab Sikdar. (2016). Downlink power control for latency aware grid energy savings in green cellular networks. 1–6. 1 indexed citations
19.
Narang, Pratik, Abhishek Thakur, & Chittaranjan Hota. (2014). Hades: a Hadoop-based framework for detection of peer-to-peer botnets. International Conference on Management of Data. 121–124. 2 indexed citations
20.
Narang, Pratik, et al.. (2013). Feature selection for detection of peer-to-peer botnet traffic. 1–9. 20 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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