Nadia Kanwal

2.0k total citations · 1 hit paper
56 papers, 1.3k citations indexed

About

Nadia Kanwal is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, Nadia Kanwal has authored 56 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Computer Vision and Pattern Recognition, 21 papers in Aerospace Engineering and 7 papers in Artificial Intelligence. Recurrent topics in Nadia Kanwal's work include Robotics and Sensor-Based Localization (20 papers), Advanced Image and Video Retrieval Techniques (16 papers) and Advanced Steganography and Watermarking Techniques (12 papers). Nadia Kanwal is often cited by papers focused on Robotics and Sensor-Based Localization (20 papers), Advanced Image and Video Retrieval Techniques (16 papers) and Advanced Steganography and Watermarking Techniques (12 papers). Nadia Kanwal collaborates with scholars based in United Kingdom, Ireland and Pakistan. Nadia Kanwal's co-authors include Mamoona Naveed Asghar, Brian Lee, Mohd. Samar Ansari, Asra Aslam, Erkan Bostancı, Adrian F. Clark, Shoaib Ehsan, Martin Fleury, Klaus D. McDonald-Maier and Naveed ur Rehman and has published in prestigious journals such as IEEE Transactions on Image Processing, Journal of Experimental Botany and IEEE Access.

In The Last Decade

Nadia Kanwal

52 papers receiving 1.2k citations

Hit Papers

A survey of modern deep learning based object detection m... 2022 2026 2023 2024 2022 200 400 600
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. A survey of modern deep learning based object detection models
    2022 600 citations Mohd. Samar Ansari, Nadia Kanwal et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nadia Kanwal United Kingdom 14 693 183 165 139 107 56 1.3k
Stefano Ghidoni Italy 19 808 1.2× 343 1.9× 160 1.0× 120 0.9× 70 0.7× 76 1.6k
Jing Pan China 20 914 1.3× 360 2.0× 201 1.2× 146 1.1× 119 1.1× 93 1.7k
Yongbin Gao China 20 631 0.9× 171 0.9× 94 0.6× 67 0.5× 50 0.5× 88 1.3k
P. V. V. Kishore India 22 798 1.2× 176 1.0× 60 0.4× 106 0.8× 82 0.8× 113 1.6k
Giovanni Maria Farinella Italy 24 1.5k 2.1× 452 2.5× 135 0.8× 95 0.7× 85 0.8× 185 2.3k
Bilel Benjdira Saudi Arabia 16 476 0.7× 190 1.0× 213 1.3× 106 0.8× 26 0.2× 30 1.1k

Countries citing papers authored by Nadia Kanwal

Since Specialization
Citations

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

Fields of papers citing papers by Nadia Kanwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nadia Kanwal

This figure shows the co-authorship network connecting the top 25 collaborators of Nadia Kanwal. A scholar is included among the top collaborators of Nadia Kanwal 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 Nadia Kanwal. Nadia Kanwal 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.
Lee, Brian, et al.. (2024). Unlocking Trust: Advancing Activity Recognition in Video Imagery. IEEE Access. 12. 176799–176817.
2.
Qiao, Yuansong, et al.. (2023). Privacy Preserved Video Summarization of Road Traffic Events for IoT Smart Cities. Cryptography. 7(1). 7–7. 9 indexed citations
3.
Asghar, Mamoona Naveed, et al.. (2022). VQProtect: Lightweight Visual Quality Protection for Error-Prone Selectively Encrypted Video Streaming. Entropy. 24(6). 755–755. 2 indexed citations
4.
Asghar, Mamoona Naveed, et al.. (2022). SecureCam: Selective Detection and Encryption Enabled Application for Dynamic Camera Surveillance Videos. IEEE Transactions on Consumer Electronics. 69(2). 156–169. 29 indexed citations
5.
Kanwal, Nadia, et al.. (2022). Deep Learning based Human Detection in Privacy-Preserved Surveillance Videos. Electronic workshops in computing. 2 indexed citations
6.
Kanwal, Nadia, et al.. (2022). End-to-End Emotion Recognition using Peripheral Physiological Signals. Electronic workshops in computing.
7.
Tariq, Faisal, et al.. (2021). Towards a privacy preserving surveillance approach for smart cities. IET conference proceedings.. 2020(6). 450–455. 4 indexed citations
8.
Ansari, Mohd. Samar, et al.. (2021). Improved Privacy-Ensuring Data-Fusion and Service Recommendation for Users in Smart Cities. 1–7. 1 indexed citations
9.
Kanwal, Nadia, Mamoona Naveed Asghar, Mohd. Samar Ansari, et al.. (2020). Preserving Chain-of-Evidence in Surveillance Videos for Authentication and Trust-Enabled Sharing. IEEE Access. 8. 153413–153424. 11 indexed citations
10.
Asghar, Mamoona Naveed, et al.. (2020). SLEPX: An Efficient Lightweight Cipher for Visual Protection of Scalable HEVC Extension. IEEE Access. 8. 187784–187807. 9 indexed citations
11.
Kanwal, Nadia, et al.. (2020). Towards Estimation of Emotions From Eye Pupillometry With Low-Cost Devices. IEEE Access. 9. 5354–5370. 5 indexed citations
12.
Asghar, Mamoona Naveed, Martin Fleury, Nadia Kanwal, et al.. (2020). MuLViS: Multi-Level Encryption Based Security System for Surveillance Videos. IEEE Access. 8. 177131–177155. 27 indexed citations
13.
Kanwal, Nadia, et al.. (2020). Real-Time, Content-Based Communication Load Reduction in the Internet of Multimedia Things. Applied Sciences. 10(3). 1152–1152. 5 indexed citations
14.
Kanwal, Nadia, et al.. (2019). Data Driven Approach for Eye Disease Classification with Machine Learning. Applied Sciences. 9(14). 2789–2789. 52 indexed citations
15.
16.
Bostancı, Erkan, et al.. (2018). Geo-location Based Augmented Reality Application For Cultural Heritage Using Drones. 1–4. 11 indexed citations
17.
Kanwal, Nadia, et al.. (2017). Seizure detection from EEG signals using Multivariate Empirical Mode Decomposition. Computers in Biology and Medicine. 88. 132–141. 105 indexed citations
18.
McAusland, Lorna, Phillip Davey, Nadia Kanwal, Neil R. Baker, & Tracy Lawson. (2013). A novel system for spatial and temporal imaging of intrinsic plant water use efficiency. Journal of Experimental Botany. 64(16). 4993–5007. 47 indexed citations
19.
Bostancı, Erkan, Nadia Kanwal, & Adrian F. Clark. (2012). Feature coverage for better homography estimation: An application to image stitching. Open Access at Essex (University of Essex). 7 indexed citations
20.
Ehsan, Shoaib, et al.. (2010). Improved repeatability measures for evaluating performance of feature detectors. Electronics Letters. 46(14). 998–1000. 13 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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