Syed Rameez Naqvi

1.4k total citations
57 papers, 979 citations indexed

About

Syed Rameez Naqvi is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Syed Rameez Naqvi has authored 57 papers receiving a total of 979 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Electrical and Electronic Engineering, 14 papers in Computer Vision and Pattern Recognition and 10 papers in Computer Networks and Communications. Recurrent topics in Syed Rameez Naqvi's work include Interconnection Networks and Systems (8 papers), Physics of Superconductivity and Magnetism (7 papers) and Radiation Effects in Electronics (5 papers). Syed Rameez Naqvi is often cited by papers focused on Interconnection Networks and Systems (8 papers), Physics of Superconductivity and Magnetism (7 papers) and Radiation Effects in Electronics (5 papers). Syed Rameez Naqvi collaborates with scholars based in Pakistan, Saudi Arabia and Austria. Syed Rameez Naqvi's co-authors include Tallha Akram, Sajjad Haider, Muhammad Attique Khan, Nazeer Muhammad, Muhammad Abdullah Kamran, Majed Alhaisoni, Robertas Damaševičius, Fawad Ahmed, Wasif Nisar and Kashif Javed and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Image Processing and IEEE Access.

In The Last Decade

Syed Rameez Naqvi

52 papers receiving 921 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Syed Rameez Naqvi Pakistan 16 297 243 201 107 91 57 979
Jinpeng Li China 13 412 1.4× 165 0.7× 54 0.3× 77 0.7× 40 0.4× 43 702
S.S. Dlay United Kingdom 20 432 1.5× 210 0.9× 85 0.4× 93 0.9× 14 0.2× 141 1.4k
Morium Akter Bangladesh 8 583 2.0× 145 0.6× 152 0.8× 221 2.1× 16 0.2× 17 1.2k
Stefan Elfwing Japan 11 505 1.7× 451 1.9× 61 0.3× 80 0.7× 16 0.2× 18 1.3k
Ezzeddine Zagrouba Tunisia 17 989 3.3× 487 2.0× 64 0.3× 343 3.2× 73 0.8× 132 1.5k
Muhammad Jaleed Khan Pakistan 14 419 1.4× 259 1.1× 97 0.5× 417 3.9× 9 0.1× 36 1.2k
Şaban Öztürk Türkiye 23 537 1.8× 570 2.3× 50 0.2× 91 0.9× 185 2.0× 63 1.6k
Raul Victor M. da Nóbrega Brazil 9 184 0.6× 249 1.0× 39 0.2× 50 0.5× 39 0.4× 9 812
André Ricardo Backes Brazil 18 621 2.1× 222 0.9× 211 1.0× 151 1.4× 9 0.1× 98 1.2k
Sudeep D. Thepade India 18 1.4k 4.5× 254 1.0× 50 0.2× 404 3.8× 38 0.4× 258 1.9k

Countries citing papers authored by Syed Rameez Naqvi

Since Specialization
Citations

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

Fields of papers citing papers by Syed Rameez Naqvi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Syed Rameez Naqvi. 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 Syed Rameez Naqvi. The network helps show where Syed Rameez Naqvi may publish in the future.

Co-authorship network of co-authors of Syed Rameez Naqvi

This figure shows the co-authorship network connecting the top 25 collaborators of Syed Rameez Naqvi. A scholar is included among the top collaborators of Syed Rameez Naqvi 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 Syed Rameez Naqvi. Syed Rameez Naqvi 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.
Rahman, Md. Mostafizer, et al.. (2025). Integrating Feature Selection and Deep Learning: A Hybrid Approach for Smart Agriculture Applications. Algorithms. 18(4). 222–222.
2.
Naqvi, Syed Rameez, et al.. (2024). Remote Sensing Insights: Leveraging Advanced Machine Learning Models and Optimization for Enhanced Accuracy in Precision Agriculture. IEEE Access. 12. 132290–132302. 1 indexed citations
3.
Akram, Tallha, et al.. (2024). A Novel Deep Learning Framework With Meta-Heuristic Feature Selection for Enhanced Remote Sensing Image Classification. IEEE Access. 12. 91974–91998. 10 indexed citations
4.
Naqvi, Syed Rameez, et al.. (2024). Smart Agriculture: Current State, Opportunities, and Challenges. IEEE Access. 12. 144456–144478. 10 indexed citations
5.
Akram, Tallha, et al.. (2024). XcelNet14: A Novel Deep Learning Framework for Aerial Scene Classification. IEEE Access. 12. 196266–196281. 1 indexed citations
6.
Rehman, Atiq Ur, et al.. (2024). A Nonparametric Split and Kernel-Merge Clustering Algorithm. IEEE Transactions on Artificial Intelligence. 5(9). 4443–4457.
7.
Haider, Sajjad, et al.. (2023). IoT-assisted energy cooperation in adjacent buildings with interrupted utility. Journal of Building Engineering. 79. 107877–107877. 1 indexed citations
8.
Alqahtani, Abdullah, Shtwai Alsubai, Mohemmed Sha, et al.. (2023). Automated White Blood Cell Disease Recognition Using Lightweight Deep Learning. Computer Systems Science and Engineering. 46(1). 107–123. 6 indexed citations
9.
Haider, Sajjad, et al.. (2022). A Deep Learning Model for Remaining Useful Life Prediction of Aircraft Turbofan Engine on C-MAPSS Dataset. IEEE Access. 10. 95425–95440. 46 indexed citations
10.
Islam, S. M. Riazul, et al.. (2022). A novel hybrid meta-heuristic contrast stretching technique for improved skin lesion segmentation. Computers in Biology and Medicine. 151(Pt A). 106222–106222. 12 indexed citations
11.
Haider, Sajjad, et al.. (2022). Environment Friendly Energy Cooperation in Neighboring Buildings: A Transformed Linearization Approach. Energies. 15(3). 1160–1160. 3 indexed citations
12.
Khan, Muhammad Attique, Seifedine Kadry, Pritee Parwekar, et al.. (2021). Human gait analysis for osteoarthritis prediction: a framework of deep learning and kernel extreme learning machine. Complex & Intelligent Systems. 9(3). 2665–2683. 39 indexed citations
13.
Akram, Tallha, S. M. Riazul Islam, Syed Rameez Naqvi, et al.. (2021). A novel framework for approximating resistance–temperature characteristics of a superconducting film based on artificial neural networks. Results in Physics. 24. 104088–104088. 2 indexed citations
14.
Kamran, Muhammad, et al.. (2020). Formal Verification of Hardware Components in Critical Systems. Wireless Communications and Mobile Computing. 2020. 1–15. 4 indexed citations
15.
Naqvi, Syed Rameez, et al.. (2019). Towards Designing Asynchronous Microprocessors: From Specification to Tape-Out. IEEE Access. 7. 33978–34003. 9 indexed citations
16.
Haider, Sajjad, Syed Rameez Naqvi, Tallha Akram, et al.. (2019). LSTM Neural Network Based Forecasting Model for Wheat Production in Pakistan. Agronomy. 9(2). 72–72. 88 indexed citations
17.
Akram, Tallha, et al.. (2018). A deep heterogeneous feature fusion approach for automatic land-use classification. Information Sciences. 467. 199–218. 47 indexed citations
18.
Haider, Sajjad, Syed Rameez Naqvi, Tallha Akram, Muhammad Abdullah Kamran, & Nadia N. Qadri. (2017). Modeling electrical properties for various geometries of antidots on a superconducting film. Applied Nanoscience. 7(8). 933–945. 9 indexed citations
19.
Akram, Tallha, Syed Rameez Naqvi, Sajjad Haider, & Muhammad Kamran. (2017). Towards real-time crops surveillance for disease classification: exploiting parallelism in computer vision. Computers & Electrical Engineering. 59. 15–26. 35 indexed citations
20.
Naqvi, Syed Rameez & Andreas Steininger. (2014). A tree arbiter cell for high speed resource sharing in asynchronous environments. Design, Automation, and Test in Europe. 1–6. 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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