Gourav Bathla

912 total citations
34 papers, 482 citations indexed

About

Gourav Bathla is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Gourav Bathla has authored 34 papers receiving a total of 482 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Information Systems, 16 papers in Artificial Intelligence and 10 papers in Computer Networks and Communications. Recurrent topics in Gourav Bathla's work include Caching and Content Delivery (8 papers), Recommender Systems and Techniques (8 papers) and Sentiment Analysis and Opinion Mining (5 papers). Gourav Bathla is often cited by papers focused on Caching and Content Delivery (8 papers), Recommender Systems and Techniques (8 papers) and Sentiment Analysis and Opinion Mining (5 papers). Gourav Bathla collaborates with scholars based in India, Saudi Arabia and Malaysia. Gourav Bathla's co-authors include Rinkle Rani, Himanshu Aggarwal, Rahul Kumar Singh, Adarsh Kumar, Rajalakshmi Krishnamurthi, Shakila Basheer, Kishor V. Bhadane, Rajanikanth Aluvalu, Jasleen Kaur and Rajeev Tiwari and has published in prestigious journals such as Scientific Reports, Neural Computing and Applications and Artificial Intelligence Review.

In The Last Decade

Gourav Bathla

29 papers receiving 449 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gourav Bathla India 12 180 150 102 95 88 34 482
Yurong Cheng China 11 121 0.7× 127 0.8× 115 1.1× 53 0.6× 39 0.4× 31 414
Hamed Vahdat‐Nejad Iran 10 182 1.0× 187 1.2× 137 1.3× 33 0.3× 91 1.0× 46 557
Shenggong Ji China 14 67 0.4× 148 1.0× 49 0.5× 43 0.5× 42 0.5× 21 520
Juan R. Velasco Spain 13 75 0.4× 194 1.3× 114 1.1× 77 0.8× 82 0.9× 39 465
Zhenni Feng China 7 70 0.4× 233 1.6× 83 0.8× 188 2.0× 81 0.9× 17 565
Priyanka Kaushik India 15 69 0.4× 101 0.7× 72 0.7× 31 0.3× 52 0.6× 46 588
Maha Kadadha United Arab Emirates 12 305 1.7× 128 0.9× 238 2.3× 33 0.3× 87 1.0× 24 527
Vahida Attar India 12 96 0.5× 247 1.6× 120 1.2× 108 1.1× 56 0.6× 51 556
Haining Yu China 11 100 0.6× 231 1.5× 225 2.2× 38 0.4× 101 1.1× 41 489

Countries citing papers authored by Gourav Bathla

Since Specialization
Citations

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

Fields of papers citing papers by Gourav Bathla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gourav Bathla

This figure shows the co-authorship network connecting the top 25 collaborators of Gourav Bathla. A scholar is included among the top collaborators of Gourav Bathla 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 Gourav Bathla. Gourav Bathla 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.
Samriya, Jitendra Kumar, Gourav Bathla, Meena Malik, et al.. (2025). Enhancing Healthcare Data Privacy in Cloud IoT Networks Using Anomaly Detection and Optimization with Explainable AI (ExAI). Computers, materials & continua/Computers, materials & continua (Print). 84(2). 3893–3910.
2.
Chhabra, Gunjan, Keshav Kaushik, Gourav Bathla, et al.. (2024). Internet of things based smart framework for the safe driving experience of two wheelers. Scientific Reports. 14(1). 21830–21830. 1 indexed citations
3.
Tiwari, Rajeev, Gourav Bathla, & Shuchi Upadhyay. (2024). IndianFoodNet: effective Indian multi-food identification and recommendation for hypertensive patients using deep convolutional neural network. Neural Computing and Applications. 36(15). 8625–8640. 1 indexed citations
4.
Raman, Roshan, et al.. (2024). Machine learning approach for prediction analysis of aluminium alloy on the surface roughness using CO 2 laser machining. Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering. 240(1). 189–203. 2 indexed citations
5.
Bathla, Gourav, et al.. (2024). FinBERT and LSTM-based novel model for stock price prediction using technical indicators and financial news. International Journal of Economics and Business Research. 28(1). 1–16. 1 indexed citations
6.
Bathla, Gourav, et al.. (2024). Artificial Intelligence in Healthcare.
7.
Samriya, Jitendra Kumar, Rajeev Tiwari, Mohammad S. Obaidat, & Gourav Bathla. (2023). Fuzzy-EPO Optimization Technique for Optimised Resource Allocation and Minimum Energy Consumption with the Brownout Algorithm. Wireless Personal Communications. 129(4). 2633–2651. 1 indexed citations
8.
Bathla, Gourav, et al.. (2023). An efficient fuzzy hyper-edge clustering and popularity-based caching scheme for CCN-enabled IoT networks. Multimedia Tools and Applications. 83(15). 44753–44780. 3 indexed citations
9.
10.
Chhabra, Gunjan, et al.. (2023). Industry Internet of Things based Intelligent Driver Monitoring System. 1160–1164. 2 indexed citations
11.
Bathla, Gourav, Kishor V. Bhadane, Rahul Kumar Singh, et al.. (2022). Autonomous Vehicles and Intelligent Automation: Applications, Challenges, and Opportunities. Mobile Information Systems. 2022. 1–36. 123 indexed citations
12.
Bathla, Gourav, et al.. (2022). Intelligent fake reviews detection based on aspect extraction and analysis using deep learning. Neural Computing and Applications. 34(22). 20213–20229. 48 indexed citations
13.
Bathla, Gourav, Rinkle Rani, & Himanshu Aggarwal. (2022). Stocks of year 2020: prediction of high variations in stock prices using LSTM. Multimedia Tools and Applications. 82(7). 9727–9743. 33 indexed citations
14.
Bathla, Gourav & Adarsh Kumar. (2021). Opinion spam detection using Deep Learning. 1160–1164. 9 indexed citations
15.
Kaur, Harleen, et al.. (2019). Techniques of Recommender System. International Journal of Innovative Technology and Exploring Engineering. 8(9S). 373–379. 3 indexed citations
16.
Bathla, Gourav, et al.. (2018). An efficient technique for hybrid classification and feature extraction using normalization. International Journal of Engineering & Technology. 7(2.27). 156–156. 1 indexed citations
17.
Bathla, Gourav, Rinkle Rani, & Himanshu Aggarwal. (2018). Improving Recommendation Techniques by Deep Learning and Large Scale Graph Partitioning. International Journal of Advanced Computer Science and Applications. 9(10). 5 indexed citations
18.
Bathla, Gourav, Himanshu Aggarwal, & Rinkle Rani. (2018). A Novel Approach for Clustering Big Data based on MapReduce. International Journal of Electrical and Computer Engineering (IJECE). 8(3). 1711–1711. 18 indexed citations
19.
Bathla, Gourav, et al.. (2017). Recognizing Emotion in Text using Neural Network and Fuzzy Logic. Indian Journal of Science and Technology. 10(12). 1–6. 7 indexed citations
20.
Bathla, Gourav, et al.. (2016). Hand Gesture Recognition based on Invariant Features and Artifical Neural Network. Indian Journal of Science and Technology. 9(43). 2 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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