G. Gopakumar

586 total citations
32 papers, 290 citations indexed

About

G. Gopakumar is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, G. Gopakumar has authored 32 papers receiving a total of 290 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 10 papers in Media Technology and 9 papers in Artificial Intelligence. Recurrent topics in G. Gopakumar's work include Cell Image Analysis Techniques (8 papers), Image Processing Techniques and Applications (7 papers) and Digital Imaging for Blood Diseases (6 papers). G. Gopakumar is often cited by papers focused on Cell Image Analysis Techniques (8 papers), Image Processing Techniques and Applications (7 papers) and Digital Imaging for Blood Diseases (6 papers). G. Gopakumar collaborates with scholars based in India and China. G. Gopakumar's co-authors include Rama Krishna Gorthi, Sai Siva Gorthi, Prema Nedungadi, Deepak Mishra, Ziyang Chen, P. Gayathri, Jixiong Pu, R. V. Vinu, S. Parthasarathy and Sudheesh Manalil and has published in prestigious journals such as Expert Systems with Applications, Journal of the Optical Society of America A and Journal of Microscopy.

In The Last Decade

G. Gopakumar

26 papers receiving 278 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. Gopakumar India 9 157 77 57 51 46 32 290
Inmaculada Tomeo-Reyes Australia 11 208 1.3× 134 1.7× 65 1.1× 45 0.9× 64 1.4× 27 358
Md. Aiub Hossain Bangladesh 4 293 1.9× 128 1.7× 58 1.0× 112 2.2× 59 1.3× 6 391
Khamael Al-Dulaimi Australia 11 206 1.3× 150 1.9× 71 1.2× 60 1.2× 72 1.6× 22 327
Salam Shuleenda Devi India 10 187 1.2× 53 0.7× 23 0.4× 35 0.7× 75 1.6× 21 247
Roopa B. Hegde India 8 332 2.1× 215 2.8× 84 1.5× 144 2.8× 65 1.4× 17 416
Pingli Ma China 7 68 0.4× 71 0.9× 74 1.3× 44 0.9× 69 1.5× 9 250
Madhumala Ghosh India 10 347 2.2× 131 1.7× 118 2.1× 61 1.2× 128 2.8× 14 411
Harishchandra Hebbar India 7 336 2.1× 213 2.8× 84 1.5× 147 2.9× 66 1.4× 13 390
Sarmad Shafique Pakistan 5 291 1.9× 202 2.6× 50 0.9× 116 2.3× 31 0.7× 9 339
Yuhang Dong United States 7 201 1.3× 70 0.9× 61 1.1× 46 0.9× 59 1.3× 12 261

Countries citing papers authored by G. Gopakumar

Since Specialization
Citations

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

Fields of papers citing papers by G. Gopakumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Gopakumar

This figure shows the co-authorship network connecting the top 25 collaborators of G. Gopakumar. A scholar is included among the top collaborators of G. Gopakumar 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. Gopakumar. G. Gopakumar 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
2.
Gopakumar, G., et al.. (2024). Saliency and boundary guided segmentation framework for cell counting in microscopy images. Expert Systems with Applications. 253. 124309–124309. 2 indexed citations
3.
Gayathri, P., et al.. (2024). Sea Surface Temperature Prediction using Sample Convolution and Interaction Network. 1–7. 1 indexed citations
5.
Gopakumar, G., et al.. (2024). Machine Learning for Sustainable Development: Ranking Villages for Rural Development Initiatives. Applied Spatial Analysis and Policy. 18(1).
6.
Gopakumar, G., et al.. (2024). Data-Driven Clustering and Insights for Rural Development in India. Procedia Computer Science. 233. 336–342. 2 indexed citations
7.
Vinu, R. V., et al.. (2023). Correlation assisted in-line holographic imaging through scattering medium. 3. 52–52. 1 indexed citations
8.
Gopakumar, G., et al.. (2023). Towards electronic health record-based medical knowledge graph construction, completion, and applications: A literature study. Journal of Biomedical Informatics. 143. 104403–104403. 33 indexed citations
9.
Gopakumar, G., et al.. (2022). Face Recognition at varying angles from distant CCTV Footage using Siamese Architecture. 2022 3rd International Conference for Emerging Technology (INCET). 1–6. 4 indexed citations
10.
Gopakumar, G., et al.. (2022). Saliency and ballness driven deep learning framework for cell segmentation in bright field microscopic images. Engineering Applications of Artificial Intelligence. 118. 105704–105704. 13 indexed citations
11.
Gopakumar, G., et al.. (2022). Copy-Move Forgery Detection-A Study and the Survey. 2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT). 1327–1334. 3 indexed citations
12.
Gopakumar, G., et al.. (2022). A Survey on Image Splice Forgery Detection and Localization Techniques. 2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT). 1242–1247. 3 indexed citations
13.
Gopakumar, G., et al.. (2021). Performance Analysis of Deep Learning Architectures for Super Resolution. Journal of Physics Conference Series. 1917(1). 12002–12002. 8 indexed citations
15.
Gopakumar, G., et al.. (2020). Glaucoma Detection from Retinal Fundus Images. 628–631. 15 indexed citations
16.
Gopakumar, G., et al.. (2020). Recursive Block Based Keypoint Matching For Copy Move Image Forgery Detection. 1–6. 4 indexed citations
17.
Gopakumar, G., et al.. (2019). An Improved Random Forest Algorithm for classification in an imbalanced dataset. 1–4. 11 indexed citations
18.
Gopakumar, G., et al.. (2016). Microfluidic microscopy-assisted label-free approach for cancer screening: automated microfluidic cytology for cancer screening. Medical & Biological Engineering & Computing. 55(5). 711–718. 10 indexed citations
20.
Gopakumar, G., Rama Krishna Gorthi, & Sai Siva Gorthi. (2014). Morphology based Classification of Leukemia Cell lines. 1–7. 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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