Surbhi Bhatia

5.2k total citations · 2 hit papers
192 papers, 2.7k citations indexed

About

Surbhi Bhatia is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Surbhi Bhatia has authored 192 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Artificial Intelligence, 40 papers in Computer Networks and Communications and 36 papers in Computer Vision and Pattern Recognition. Recurrent topics in Surbhi Bhatia's work include IoT and Edge/Fog Computing (22 papers), AI in cancer detection (19 papers) and Brain Tumor Detection and Classification (16 papers). Surbhi Bhatia is often cited by papers focused on IoT and Edge/Fog Computing (22 papers), AI in cancer detection (19 papers) and Brain Tumor Detection and Classification (16 papers). Surbhi Bhatia collaborates with scholars based in Saudi Arabia, India and United Kingdom. Surbhi Bhatia's co-authors include Arwa Mashat, Mohammed Alojail, Rajib Bag, Jan Platoš, Aboul Ella Hassanien, Koyel Chakraborty, Siddhartha Bhattacharyya, Shakila Basheer, Mohammed Shuaib and Mohammad Khalid Imam Rahmani and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Surbhi Bhatia

172 papers receiving 2.5k citations

Hit Papers

align trajectories sort by overperformance

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.

Sentiment Analysis of COVID-19 tweets by Deep Learning Classifiers—A study to show how popularity is affecting accuracy in social media

2020 255 citations Surbhi Bhatia et al. profile →
Recognition of Leaf Disease Using Hybrid Convolutional Neural Network by Applying Feature Reduction

2022 136 citations Rajeev Tiwari, Surbhi Bhatia et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Surbhi Bhatia Saudi Arabia	29	846	529	450	338	267	192	2.7k
Kamran Shaukat Pakistan	33	1.3k 1.6×	644 1.2×	773 1.7×	411 1.2×	167 0.6×	74	3.2k
Mamta Mittal India	28	1.0k 1.2×	442 0.8×	269 0.6×	709 2.1×	199 0.7×	109	3.2k
Muhammad Umer Pakistan	30	1.1k 1.3×	436 0.8×	275 0.6×	324 1.0×	192 0.7×	115	2.5k
Gustavo Ramírez-González Colombia	23	594 0.7×	514 1.0×	477 1.1×	533 1.6×	201 0.8×	94	2.5k
Mabrook Al‐Rakhami Saudi Arabia	28	628 0.7×	555 1.0×	549 1.2×	247 0.7×	228 0.9×	75	2.2k
Tarek Gaber United Kingdom	30	765 0.9×	360 0.7×	460 1.0×	348 1.0×	262 1.0×	118	3.1k
Sharnil Pandya India	28	1.0k 1.2×	411 0.8×	590 1.3×	427 1.3×	262 1.0×	61	2.8k
Mohammad Shabaz India	28	698 0.8×	511 1.0×	583 1.3×	343 1.0×	273 1.0×	162	2.7k
Muhammad Fazal Ijaz South Korea	34	1.2k 1.4×	451 0.9×	645 1.4×	783 2.3×	308 1.2×	95	4.0k
Asadullah Shaikh Saudi Arabia	22	537 0.6×	449 0.8×	336 0.7×	210 0.6×	148 0.6×	169	1.9k

Countries citing papers authored by Surbhi Bhatia

Since Specialization

Citations

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

Fields of papers citing papers by Surbhi Bhatia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Surbhi Bhatia

This figure shows the co-authorship network connecting the top 25 collaborators of Surbhi Bhatia. A scholar is included among the top collaborators of Surbhi Bhatia 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 Surbhi Bhatia. Surbhi Bhatia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Bhatia, Surbhi, et al.. (2025). A Novel Ensemble Empirical Decomposition and Time–Frequency Analysis Approach for Vibroarthrographic Signal Processing. Circuits Systems and Signal Processing. 45(1). 512–534. 1 indexed citations

Consul, Prakhar, et al.. (2025). A Web 3.0 Approach for Forensic-Driven Secure Resource Allocation and Trajectory Optimization in UAV-Assisted MEC Network. IEEE Transactions on Consumer Electronics. 71(3). 8226–8233.

Ahmed, Syed Thouheed, R. Sivakami, Surbhi Bhatia, et al.. (2024). Federated Learning Framework for Consumer IoMT-Edge Resource Recommendation Under Telemedicine Services. IEEE Transactions on Consumer Electronics. 71(1). 252–259.

Bebortta, Sujit, et al.. (2024). TinyDeepUAV: A Tiny Deep Reinforcement Learning Framework for UAV Task Offloading in Edge-Based Consumer Electronics. IEEE Transactions on Consumer Electronics. 70(4). 7357–7364. 7 indexed citations

Pai, H., et al.. (2024). Redefining retinal vessel segmentation: empowering advanced fundus image analysis with the potential of GANs. Frontiers in Medicine. 11. 1470941–1470941. 6 indexed citations

Ramakrishna, Mahesh Thyluru, et al.. (2024). Leveraging EfficientNetB3 in a Deep Learning Framework for High-Accuracy MRI Tumor Classification. Computers, materials & continua/Computers, materials & continua (Print). 81(1). 867–883. 1 indexed citations

Mahesh, T R, Surbhi Bhatia, Palaiahnakote Shivakumara, et al.. (2024). An Adaptive Xception Model for Classification of Brain Tumors. International Journal of Pattern Recognition and Artificial Intelligence. 38(8). 2 indexed citations

Ahmed, Syed Thouheed, et al.. (2024). 6GTelMED: Resources Recommendation Framework on 6G-Enabled Distributed Telemedicine Using Edge-AI. IEEE Transactions on Consumer Electronics. 70(3). 5524–5532. 3 indexed citations

Bhatia, Surbhi, Rutvij H. Jhaveri, Piyush Kumar Shukla, et al.. (2023). Enhancing Software-Defined Networks with Intelligent Controllers to Improve First Packet Processing Period. Electronics. 12(3). 600–600. 5 indexed citations

10.

Bhatia, Surbhi, et al.. (2023). Advancing Disability Management in Information Systems: A Novel Approach through Bidirectional Federated Learning-Based Gradient Optimization. Mathematics. 12(1). 119–119. 1 indexed citations

11.

Salehi, Ahmad Waleed, Preety Baglat, Gaurav Gupta, et al.. (2023). An Approach to Binary Classification of Alzheimer’s Disease Using LSTM. Bioengineering. 10(8). 950–950. 13 indexed citations

12.

Alghazzawi, Daniyal, Syed Hamid Hasan, Fayez Alfayez, et al.. (2023). An Efficient and Secure Model Using Adaptive Optimal Deep Learning for Task Scheduling in Cloud Computing. Electronics. 12(6). 1441–1441. 30 indexed citations

13.

Kumar, Ankit, Surbhi Bhatia, Saroj Kumar Pandey, et al.. (2023). Development of a cloud-assisted classification technique for the preservation of secure data storage in smart cities. Journal of Cloud Computing Advances Systems and Applications. 12(1). 13 indexed citations

14.

Bhatia, Surbhi, et al.. (2023). ECONOMIC GROWTH FORECAST MODEL URBAN SUPPLY CHAIN LOGISTICS DISTRIBUTION PATH DECISION USING AN IMPROVED GENETIC ALGORITHM. Malaysian Journal of Computer Science. sp2023(1). 76–89. 2 indexed citations

15.

Bhatia, Surbhi, et al.. (2023). A Blockchain-Driven Food Supply Chain Management Using QR Code and XAI-Faster RCNN Architecture. Sustainability. 15(3). 2579–2579. 32 indexed citations

16.

G, Hanumat Sastry, et al.. (2023). Intruder Detection in VANET Data Streams Using Federated Learning for Smart City Environments. Electronics. 12(4). 894–894. 31 indexed citations

17.

Ramakrishna, Mahesh Thyluru, et al.. (2023). Cancer Diagnosis through Contour Visualization of Gene Expression Leveraging Deep Learning Techniques. Diagnostics. 13(22). 3452–3452. 4 indexed citations

18.

Bharany, Salil, Sandeep Sharma, Surbhi Bhatia, et al.. (2022). Energy Efficient Clustering Protocol for FANETS Using Moth Flame Optimization. Sustainability. 14(10). 6159–6159. 57 indexed citations

19.

Bhatia, Surbhi, et al.. (2022). A Novel Framework for Arabic Dialect Chatbot Using Machine Learning. Computational Intelligence and Neuroscience. 2022. 1–11. 14 indexed citations

20.

Bhatia, Surbhi, et al.. (2019). An Algorithmic Approach based on Principal Component Analysis for Aspect-based Opinion Summarization. International Conference on Computing for Sustainable Global Development. 1 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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