Babar Shah

3.8k total citations · 2 hit papers
117 papers, 2.2k citations indexed

About

Babar Shah is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Babar Shah has authored 117 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Computer Networks and Communications, 27 papers in Artificial Intelligence and 21 papers in Information Systems. Recurrent topics in Babar Shah's work include IoT and Edge/Fog Computing (11 papers), Wireless Body Area Networks (9 papers) and Energy Efficient Wireless Sensor Networks (9 papers). Babar Shah is often cited by papers focused on IoT and Edge/Fog Computing (11 papers), Wireless Body Area Networks (9 papers) and Energy Efficient Wireless Sensor Networks (9 papers). Babar Shah collaborates with scholars based in United Arab Emirates, Pakistan and South Korea. Babar Shah's co-authors include Farman Ali, Farkhund Iqbal, Feras Al‐Obeidat, Sajid Anwar, Tariq Hussain, Benjamin C. M. Fung, Trevor Michael Braun, Muhammad Shoaib, Adnan Amin and Ki‐Il Kim and has published in prestigious journals such as Scientific Reports, Journal of Business Research and IEEE Access.

In The Last Decade

Babar Shah

105 papers receiving 2.1k citations

Hit Papers

An advanced deep learning models-based plant disease dete... 2022 2026 2023 2024 2023 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Babar Shah United Arab Emirates 24 624 479 416 383 252 117 2.2k
Jyoti Prakash Singh India 28 831 1.3× 1.3k 2.6× 655 1.6× 231 0.6× 132 0.5× 199 3.2k
Darko Stefanović Serbia 18 1.1k 1.7× 1.1k 2.4× 889 2.1× 1.4k 3.7× 43 0.2× 74 4.1k
Salimah Mokhtar Malaysia 6 729 1.2× 391 0.8× 761 1.8× 49 0.1× 57 0.2× 13 2.1k
Punam Bedi India 22 656 1.1× 827 1.7× 881 2.1× 235 0.6× 30 0.1× 196 2.4k
Wattana Viriyasitavat Thailand 27 884 1.4× 594 1.2× 1.4k 3.5× 62 0.2× 79 0.3× 104 2.8k
Irina V. Pustokhina Russia 19 330 0.5× 367 0.8× 227 0.5× 49 0.1× 62 0.2× 63 1.3k
Vinu Sundararaj India 10 554 0.9× 316 0.7× 373 0.9× 79 0.2× 37 0.1× 11 1.6k
B. Prabadevi India 14 432 0.7× 455 0.9× 529 1.3× 37 0.1× 83 0.3× 37 2.1k
Suliman Mohamed Fati Saudi Arabia 22 216 0.3× 571 1.2× 205 0.5× 151 0.4× 30 0.1× 74 1.6k
Abdelaziz Bouras Qatar 21 269 0.4× 724 1.5× 444 1.1× 33 0.1× 77 0.3× 111 2.2k

Countries citing papers authored by Babar Shah

Since Specialization
Citations

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

Fields of papers citing papers by Babar Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Babar Shah

This figure shows the co-authorship network connecting the top 25 collaborators of Babar Shah. A scholar is included among the top collaborators of Babar Shah 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 Babar Shah. Babar Shah 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.
Tubaishat, Abdallah, et al.. (2025). Deepvoc: a linked open vocabulary for reproducible and reliable deep learning experiments. International Journal of Machine Learning and Cybernetics. 16(11). 8755–8767.
2.
Shah, Babar, et al.. (2025). Dual-model approach for accurate chest disease detection using GViT and swin transformer V2. Scientific Reports. 15(1). 31717–31717.
3.
Ali, Farman, et al.. (2024). Blood cell image segmentation and classification: a systematic review. PeerJ Computer Science. 10. e1813–e1813. 8 indexed citations
4.
Zaman, Khalid, et al.. (2024). Correction to: A novel driver emotion recognition system based on deep ensemble classification. Complex & Intelligent Systems. 10(3). 4657–4657. 2 indexed citations
5.
Merla, Arcangelo, et al.. (2023). A deep transfer learning approach for COVID-19 detection and exploring a sense of belonging with Diabetes. Frontiers in Public Health. 11. 1308404–1308404. 7 indexed citations
6.
7.
Shah, Babar, et al.. (2023). LSTDA: Link Stability and Transmission Delay Aware Routing Mechanism for Flying Ad-Hoc Network (FANET). Computers, materials & continua/Computers, materials & continua (Print). 77(1). 963–981.
8.
Al‐Obeidat, Feras, et al.. (2023). Cyber security and beyond: Detecting malware and concept drift in AI-based sensor data streams using statistical techniques. Computers & Electrical Engineering. 108. 108702–108702. 16 indexed citations
9.
Ali, Farman, et al.. (2023). A deep learning based dual encoder–decoder framework for anatomical structure segmentation in chest X-ray images. Scientific Reports. 13(1). 791–791. 34 indexed citations
10.
Singh, Jaiteg, et al.. (2023). 3D indoor modeling and game theory based navigation for pre and post COVID-19 situation. Frontiers in Public Health. 11. 1301607–1301607. 3 indexed citations
12.
Razzaq, Saad, et al.. (2022). DeepClassRooms: a deep learning based digital twin framework for on-campus class rooms. Neural Computing and Applications. 35(11). 8017–8026. 29 indexed citations
13.
Shoaib, Muhammad, Tariq Hussain, Babar Shah, et al.. (2022). Deep learning-based segmentation and classification of leaf images for detection of tomato plant disease. Frontiers in Plant Science. 13. 1031748–1031748. 143 indexed citations breakdown →
14.
Shah, Babar, et al.. (2021). Optimal Clustering in Wireless Sensor Networks for the Internet of Things Based on Memetic Algorithm: memeWSN. Wireless Communications and Mobile Computing. 2021(1). 14 indexed citations
15.
Jan, Salman, Shahrulniza Musa, Toqeer Ali Syed, et al.. (2020). Integrity verification and behavioral classification of a large dataset applications pertaining smart OS via blockchain and generative models. Expert Systems. 38(4). 27 indexed citations
16.
Kim, Beom-Su, Ki‐Il Kim, Babar Shah, & Sana Ullah. (2019). A Forwarder Based Temperature Aware Routing Protocol in Wireless Body Area Networks. 網際網路技術學刊. 20(4). 1157–1166. 7 indexed citations
17.
Hasan, Raza, Sellappan Palaniappan, Salman Mahmood, et al.. (2019). Enhancing the Teaching and Learning Process Using Video Streaming Servers and Forecasting Techniques. Sustainability. 11(7). 2049–2049. 22 indexed citations
18.
Shah, Babar, et al.. (2019). FRAMING OF URDU DRAMA SERIALS: FROM SOCIAL RELIGIOUS VALUES TO FAMILY CATASTROPHE. Al Qalam Jurnal Ilmiah Keagamaan dan Kemasyarakatan. 24. 44–67. 1 indexed citations
19.
Shah, Babar. (2018). Exploring the Preference and Interest for Information Communication Technology (ICT) Usage among Students of Allama Iqbal Open University.. 4(2). 157–176.
20.
Shah, Babar, et al.. (2016). Security analysis of IoT protocols: A focus in CoAP. 1–7. 89 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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