Lingraj Dora

469 total citations
19 papers, 314 citations indexed

About

Lingraj Dora is a scholar working on Computer Vision and Pattern Recognition, Neurology and Artificial Intelligence. According to data from OpenAlex, Lingraj Dora has authored 19 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 8 papers in Neurology and 7 papers in Artificial Intelligence. Recurrent topics in Lingraj Dora's work include Brain Tumor Detection and Classification (8 papers), Face and Expression Recognition (4 papers) and Medical Image Segmentation Techniques (4 papers). Lingraj Dora is often cited by papers focused on Brain Tumor Detection and Classification (8 papers), Face and Expression Recognition (4 papers) and Medical Image Segmentation Techniques (4 papers). Lingraj Dora collaborates with scholars based in India and United States. Lingraj Dora's co-authors include Sanjay Agrawal, Rutuparna Panda, Ajith Abraham, Ram Bilas Pachori, Sarat K. Swain and Monorama Swain and has published in prestigious journals such as Expert Systems with Applications, Applied Soft Computing and Neural Computing and Applications.

In The Last Decade

Lingraj Dora

18 papers receiving 296 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lingraj Dora India 7 166 116 78 70 44 19 314
Asim Munir Pakistan 10 245 1.5× 186 1.6× 167 2.1× 134 1.9× 43 1.0× 21 486
Yufeng Zheng United States 9 144 0.9× 142 1.2× 26 0.3× 95 1.4× 47 1.1× 35 308
Mohammad Tariqul Islam United States 9 192 1.2× 84 0.7× 22 0.3× 149 2.1× 57 1.3× 28 421
E-Liang Chen Taiwan 6 282 1.7× 179 1.5× 48 0.6× 96 1.4× 33 0.8× 10 426
H. S. Sheshadri India 9 92 0.6× 145 1.3× 43 0.6× 61 0.9× 13 0.3× 30 261
Yepuganti Karuna India 9 141 0.8× 60 0.5× 110 1.4× 73 1.0× 18 0.4× 45 289
Hossam El-Din Moustafa Egypt 12 110 0.7× 220 1.9× 223 2.9× 159 2.3× 18 0.4× 56 536
Sarah Mazhar China 9 120 0.7× 97 0.8× 66 0.8× 220 3.1× 10 0.2× 15 397
Xiaosheng Wu China 10 200 1.2× 91 0.8× 69 0.9× 57 0.8× 46 1.0× 24 323
Mushtaq Ali Pakistan 11 202 1.2× 87 0.8× 54 0.7× 40 0.6× 43 1.0× 33 386

Countries citing papers authored by Lingraj Dora

Since Specialization
Citations

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

Fields of papers citing papers by Lingraj Dora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingraj Dora

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

All Works

19 of 19 papers shown
1.
2.
Dora, Lingraj, et al.. (2024). Bayesian Optimized Artificial Neural Network for Breast Cancer Classification. 684–691. 1 indexed citations
3.
Dora, Lingraj, Sanjay Agrawal, Rutuparna Panda, & Ram Bilas Pachori. (2023). Pathological brain classification using multiple kernel-based deep convolutional neural network. Neural Computing and Applications. 36(2). 747–756. 3 indexed citations
4.
Agrawal, Sanjay, et al.. (2023). A Review on Retinal Blood Vessel Enhancement and Segmentation Techniques for Color Fundus Photography. Critical Reviews in Biomedical Engineering. 52(1). 41–69. 7 indexed citations
5.
Dora, Lingraj, et al.. (2023). Heart Failure Detection Using Deep Neural Network. 1–6. 1 indexed citations
6.
Dora, Lingraj, et al.. (2023). Molecular imaging analysis in cancer using deep learning: a review. Research on Biomedical Engineering. 39(4). 1015–1032. 1 indexed citations
7.
Dora, Lingraj, et al.. (2022). Data science methodologies in smart healthcare: a review. Health and Technology. 12(2). 329–344. 5 indexed citations
8.
Panda, Rutuparna, et al.. (2022). A Study on Brain Tumor Analysis Using Deep Learning Methods. 2022 6th International Conference on Computing Methodologies and Communication (ICCMC). 1106–1111. 1 indexed citations
9.
Agrawal, Sanjay, et al.. (2021). Visible and infrared image fusion using an efficient adaptive transition region extraction technique. Engineering Science and Technology an International Journal. 29. 101037–101037. 11 indexed citations
10.
Dora, Lingraj, Sanjay Agrawal, Rutuparna Panda, & Ajith Abraham. (2021). An efficient multiclass classifier for classification of Alzheimer's disease/mild cognitive impairment/Normal subjects. International Journal of Imaging Systems and Technology. 32(2). 629–641. 1 indexed citations
11.
Agrawal, Sanjay, et al.. (2019). A novel region‐based multimodal image fusion technique using improved dictionary learning. International Journal of Imaging Systems and Technology. 30(3). 558–576. 1 indexed citations
12.
Dora, Lingraj, Sanjay Agrawal, Rutuparna Panda, & Ajith Abraham. (2018). Nested cross-validation based adaptive sparse representation algorithm and its application to pathological brain classification. Expert Systems with Applications. 114. 313–321. 44 indexed citations
13.
Dora, Lingraj, Sanjay Agrawal, Rutuparna Panda, & Ajith Abraham. (2017). State-of-the-Art Methods for Brain Tissue Segmentation: A Review. IEEE Reviews in Biomedical Engineering. 10. 235–249. 72 indexed citations
14.
Dora, Lingraj, Sanjay Agrawal, Rutuparna Panda, & Ajith Abraham. (2017). An evolutionary single Gabor kernel based filter approach to face recognition. Engineering Applications of Artificial Intelligence. 62. 286–301. 30 indexed citations
15.
Dora, Lingraj, Sanjay Agrawal, Rutuparna Panda, & Ajith Abraham. (2017). Optimal breast cancer classification using Gauss–Newton representation based algorithm. Expert Systems with Applications. 85. 134–145. 92 indexed citations
16.
Agrawal, Sanjay, et al.. (2017). A fuzzy C-means clustering approach to HMRF-EM model For MRI brain tissue segmentation. 371–376. 2 indexed citations
17.
Agrawal, Sanjay, Rutuparna Panda, & Lingraj Dora. (2014). A study on fuzzy clustering for magnetic resonance brain image segmentation using soft computing approaches. Applied Soft Computing. 24. 522–533. 34 indexed citations
18.
Agrawal, Sanjay, Sarat K. Swain, & Lingraj Dora. (2013). BFO-ICA based multi focus image fusion. 194–199. 4 indexed citations
19.
Dora, Lingraj, et al.. (2010). Face Recognition by Regularized-LDA Using PRM. 9. 140–145. 4 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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