G Divya

15 total papers · 551 total citations
6 papers, 318 citations indexed

About

G Divya is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Automotive Engineering. According to data from OpenAlex, G Divya has authored 6 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 1 paper in Automotive Engineering. Recurrent topics in G Divya's work include Video Surveillance and Tracking Methods (2 papers), Advanced Neural Network Applications (2 papers) and Artificial Intelligence in Healthcare (1 paper). G Divya is often cited by papers focused on Video Surveillance and Tracking Methods (2 papers), Advanced Neural Network Applications (2 papers) and Artificial Intelligence in Healthcare (1 paper). G Divya collaborates with scholars based in India. G Divya's co-authors include SM Apoorva, R Meghana, Mohana, Akshay Kumar, S. Sridharan and R. Sivakumar and has published in prestigious journals such as International Journal of Recent Technology and Engineering (IJRTE).

In The Last Decade

G Divya

5 papers receiving 296 citations

Hit Papers

Feature Extraction using ... 2018 2026 2020 2023 2018 100 200 300
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 benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. Feature Extraction using Convolution Neural Networks (CNN) and Deep Learning
    2018 311 citations Mohana, G Divya et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
G Divya 98 67 36 33 25 6 318
R Meghana 115 1.2× 72 1.1× 37 1.0× 34 1.0× 25 1.0× 6 340
Abdul Rehman Khan 72 0.7× 71 1.1× 36 1.0× 28 0.8× 17 0.7× 12 239
Mayank Arya Chandra 73 0.7× 77 1.1× 30 0.8× 21 0.6× 30 1.2× 7 333
Hussam Qassim 139 1.4× 99 1.5× 32 0.9× 48 1.5× 18 0.7× 4 345
Milan Tripathi 84 0.9× 78 1.2× 25 0.7× 28 0.8× 15 0.6× 7 244
Neha Sharma 83 0.8× 66 1.0× 20 0.6× 28 0.8× 11 0.4× 12 293
Brett Koonce 99 1.0× 62 0.9× 32 0.9× 30 0.9× 10 0.4× 2 258
José Maurício 74 0.8× 72 1.1× 28 0.8× 41 1.2× 13 0.5× 5 270
Buse Melis Özyıldırım 71 0.7× 118 1.8× 20 0.6× 30 0.9× 21 0.8× 13 322
Mohammadreza Iman 70 0.7× 101 1.5× 26 0.7× 40 1.2× 7 0.3× 5 336

Countries citing papers authored by G Divya

Since Specialization
Citations

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

Fields of papers citing papers by G Divya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G Divya

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

All Works

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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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