Gaurav Gupta

2.8k total citations · 1 hit paper
88 papers, 1.4k citations indexed

About

Gaurav Gupta is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Gaurav Gupta has authored 88 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 19 papers in Computer Networks and Communications and 14 papers in Information Systems. Recurrent topics in Gaurav Gupta's work include AI in cancer detection (10 papers), IoT and Edge/Fog Computing (8 papers) and Brain Tumor Detection and Classification (8 papers). Gaurav Gupta is often cited by papers focused on AI in cancer detection (10 papers), IoT and Edge/Fog Computing (8 papers) and Brain Tumor Detection and Classification (8 papers). Gaurav Gupta collaborates with scholars based in India, United States and Saudi Arabia. Gaurav Gupta's co-authors include Ahmad Waleed Salehi, Shakir Khan, Frank Harary, Preety Baglat, Tamanna Siddiqui, Bayan Alabduallah, Abrar Almjally, Hadeel Alsolai, A. Mellit and Manju Khari and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Gaurav Gupta

79 papers receiving 1.4k citations

Hit Papers

A Study of CNN and Transf... 2023 2026 2024 2023 50 100 150 200 250
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 Study of CNN and Transfer Learning in Medical Imaging: Advantages, Challenges, Future Scope
    2023 256 citations Ahmad Waleed Salehi, Shakir Khan et al. Sustainability profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gaurav Gupta India 19 376 252 224 182 148 88 1.4k
Mahmoud Y. Shams Egypt 26 529 1.4× 252 1.0× 241 1.1× 86 0.5× 93 0.6× 70 1.7k
Parvathaneni Naga Srinivasu India 21 673 1.8× 385 1.5× 274 1.2× 121 0.7× 168 1.1× 56 1.8k
Diyar Qader Zeebaree Iraq 14 646 1.7× 360 1.4× 308 1.4× 125 0.7× 113 0.8× 25 1.3k
Javed Ali Khan Pakistan 20 688 1.8× 341 1.4× 323 1.4× 340 1.9× 194 1.3× 95 1.7k
Mohammed A. Al Ghamdi Saudi Arabia 22 377 1.0× 355 1.4× 173 0.8× 181 1.0× 335 2.3× 102 1.8k
Jana Shafi Saudi Arabia 25 457 1.2× 262 1.0× 173 0.8× 72 0.4× 293 2.0× 89 1.7k
Mst Shamima Nasrin United States 3 548 1.5× 392 1.6× 290 1.3× 88 0.5× 81 0.5× 4 1.4k
Chaosheng Tang China 15 389 1.0× 286 1.1× 239 1.1× 215 1.2× 128 0.9× 55 1.1k
Adi Alhudhaif Saudi Arabia 27 630 1.7× 513 2.0× 242 1.1× 152 0.8× 143 1.0× 106 2.0k
Hela Elmannai Saudi Arabia 22 546 1.5× 266 1.1× 190 0.8× 79 0.4× 383 2.6× 104 1.6k

Countries citing papers authored by Gaurav Gupta

Since Specialization
Citations

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

Fields of papers citing papers by Gaurav Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gaurav Gupta

This figure shows the co-authorship network connecting the top 25 collaborators of Gaurav Gupta. A scholar is included among the top collaborators of Gaurav Gupta 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 Gaurav Gupta. Gaurav Gupta 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.
Gupta, Gaurav, et al.. (2024). Classifying Alzheimer Disease using VGG19. 1749–1753.
2.
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
3.
Salehi, Ahmad Waleed, Shakir Khan, Gaurav Gupta, et al.. (2023). A Study of CNN and Transfer Learning in Medical Imaging: Advantages, Challenges, Future Scope. Sustainability. 15(7). 5930–5930. 256 indexed citations breakdown →
4.
5.
Khan, Shakir, et al.. (2023). U-Net-Based Models towards Optimal MR Brain Image Segmentation. Diagnostics. 13(9). 1624–1624. 62 indexed citations
6.
Gupta, Gaurav, et al.. (2023). The perception systems used in fully automated vehicles: a comparative analysis. Multimedia Tools and Applications. 84(29). 35363–35385. 5 indexed citations
7.
Khan, Shakir, Sonia Garg, Gaurav Gupta, et al.. (2023). Hybrid Majority Voting: Prediction and Classification Model for Obesity. Diagnostics. 13(15). 2610–2610. 32 indexed citations
8.
Udrescu, Mihai, Gaurav Gupta, Mingxi Cheng, et al.. (2023). Fractional Dynamics Foster Deep Learning of COPD Stage Prediction. Advanced Science. 10(12). e2203485–e2203485. 24 indexed citations
9.
Khan, Shakir, et al.. (2023). Bridged-U-Net-ASPP-EVO and Deep Learning Optimization for Brain Tumor Segmentation. Diagnostics. 13(16). 2633–2633. 23 indexed citations
10.
Kumar, Nagesh, et al.. (2022). Machine learning techniques with ANOVA for the prediction of breast cancer. International Journal of Advanced Technology and Engineering Exploration. 9(87). 10 indexed citations
11.
Kumar, Sunil, et al.. (2022). Development of New Correlations and Parametric Optimization in Nanofluid Flow through Protruded Roughened Square Channel. Mathematical Problems in Engineering. 2022. 1–18. 2 indexed citations
12.
Thakur, Mohindra Singh, et al.. (2022). Prediction of Binder Content in Glass Fiber Reinforced Asphalt Mix Using Machine Learning Techniques. IEEE Access. 10. 33866–33881. 12 indexed citations
13.
Gupta, Gaurav, et al.. (2022). Internet of Things‐Based Crop Classification Model Using Deep Learning for Indirect Solar Drying. Wireless Communications and Mobile Computing. 2022(1). 16 indexed citations
14.
Sonia, Sonia, et al.. (2021). Cache Memory: An Analysis on Performance Issues. International Conference on Computing for Sustainable Global Development. 14 indexed citations
15.
Kumar, Nagesh, et al.. (2021). Arduino based LPG Leakage Detection and Prevention System. International Conference on Computing for Sustainable Global Development. 161–166. 3 indexed citations
16.
Kumar, Sunil, Gaurav Gupta, Muhammad Gulzar, et al.. (2021). Analysis and Implementation of Thermal Heat Exchanger Tube Performance with Helically Pierced Twisted Tape Inserts Using ANFIS Model. Mathematical Problems in Engineering. 2021. 1–13. 3 indexed citations
17.
Gupta, Gaurav, et al.. (2018). Quantifying emergence and self-organisation of Enterobacter cloacae microbial communities. Scientific Reports. 8(1). 12416–12416. 26 indexed citations
18.
Gupta, Gaurav & Praveen Paruchuri. (2016). Effect of human behavior on traffic patterns during an emergency. 2052–2058. 3 indexed citations
19.
Gupta, Gaurav, et al.. (2004). Digital Forensic Analysis of E-Mails: A Trusted E-Mail Protocol. 2. 9 indexed citations
20.
Gupta, Gaurav & Rahul Garg. (2004). Minimizing the cost of mobility management: distance-based scheme as a function of user's profile. 3. 2075–2080. 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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