Tripti Goel

1.8k total citations · 1 hit paper
79 papers, 1.1k citations indexed

About

Tripti Goel is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Neurology. According to data from OpenAlex, Tripti Goel has authored 79 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Radiology, Nuclear Medicine and Imaging, 29 papers in Computer Vision and Pattern Recognition and 25 papers in Neurology. Recurrent topics in Tripti Goel's work include Brain Tumor Detection and Classification (25 papers), Retinal Imaging and Analysis (17 papers) and Face and Expression Recognition (11 papers). Tripti Goel is often cited by papers focused on Brain Tumor Detection and Classification (25 papers), Retinal Imaging and Analysis (17 papers) and Face and Expression Recognition (11 papers). Tripti Goel collaborates with scholars based in India, Australia and South Korea. Tripti Goel's co-authors include R. Murugan, M. Tanveer, Seyedali Mirjalili, Rahul Sharma, Virendra P. Vishwakarma, Chin‐Teng Lin, Vijay Nehra, Ponnuthurai Nagaratnam Suganthan, Javier Del Ser and Iman Beheshti and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Fuzzy Systems and Applied Soft Computing.

In The Last Decade

Tripti Goel

74 papers receiving 1.1k citations

Hit Papers

align trajectories

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.

Deep learning for brain age estimation: A systematic review

2023 84 citations M. Tanveer, M. A. Ganaie et al. Information Fusion profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tripti Goel India	20	469	416	348	302	109	79	1.1k
R. Murugan India	19	494 1.1×	358 0.9×	293 0.8×	229 0.8×	109 1.0×	82	1.0k
Shamik Tiwari India	18	189 0.4×	280 0.7×	315 0.9×	182 0.6×	77 0.7×	74	975
Siqi Liu China	15	197 0.4×	412 1.0×	255 0.7×	255 0.8×	62 0.6×	74	1.1k
Sandeep Kumar Mathivanan India	17	216 0.5×	310 0.7×	244 0.7×	272 0.9×	62 0.6×	99	929
D. Selvathi India	14	184 0.4×	186 0.4×	326 0.9×	174 0.6×	31 0.3×	78	746
Jiashuang Huang China	18	257 0.5×	313 0.8×	226 0.6×	196 0.6×	33 0.3×	77	1.1k
Taha H. Rassem Malaysia	13	123 0.3×	267 0.6×	562 1.6×	290 1.0×	73 0.7×	40	1.1k
Kuang Chua Chua Singapore	17	653 1.4×	197 0.5×	368 1.1×	65 0.2×	87 0.8×	31	1.6k
Palani Thanaraj Krishnan India	14	358 0.8×	251 0.6×	185 0.5×	141 0.5×	27 0.2×	39	939
Lim Choo Min Singapore	19	595 1.3×	412 1.0×	535 1.5×	72 0.2×	85 0.8×	44	2.0k

Countries citing papers authored by Tripti Goel

Since Specialization

Citations

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

Fields of papers citing papers by Tripti Goel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tripti Goel

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Murugan, R., et al.. (2025). A real-time screening system for diabetic retinopathy grading using a novel multi-scale feature extraction through retinal fundus images. Biomedical Signal Processing and Control. 112. 108548–108548.

Goel, Tripti, et al.. (2025). Alzheimer’s disease diagnosis from MRI and SWI fused image using self adaptive differential evolutionary RVFL classifier. Information Fusion. 118. 102917–102917. 2 indexed citations

Goel, Tripti, et al.. (2025). Hybrid feature fusion and randomized regression network for brain age prediction using magnetic resonance imaging: Analyzing age-related cortical structure variations in healthy adults. Biomedical Signal Processing and Control. 110. 108255–108255.

Sharma, Rahul, Tripti Goel, M. Tanveer, & Mujahed Al‐Dhaifallah. (2025). Alzheimer's Disease Diagnosis Using Ensemble of Random Weighted Features and Fuzzy Least Square Twin Support Vector Machine. IEEE Transactions on Emerging Topics in Computational Intelligence. 9(2). 1281–1291. 3 indexed citations

Goel, Tripti, et al.. (2025). Exploring the significance of the frontal lobe for diagnosis of schizophrenia using explainable artificial intelligence and group level analysis. Psychiatry Research Neuroimaging. 349. 111969–111969. 1 indexed citations

Goel, Tripti, et al.. (2024). An effective diagnosis of schizophrenia using kernel ridge regression-based optimized RVFL classifier. Applied Soft Computing. 157. 111457–111457. 3 indexed citations

Tanveer, M., et al.. (2024). Fuzzy Deep Learning for the Diagnosis of Alzheimer's Disease: Approaches and Challenges. IEEE Transactions on Fuzzy Systems. 32(10). 5477–5492. 25 indexed citations

Goel, Tripti, et al.. (2024). A coupled-GAN architecture to fuse MRI and PET image features for multi-stage classification of Alzheimer’s disease. Information Fusion. 109. 102415–102415. 18 indexed citations

Goel, Tripti, et al.. (2024). Brain Age Estimation Using Universum Learning-Based Kernel Random Vector Functional Link Regression Network. Cognitive Computation. 16(6). 3186–3199. 3 indexed citations

10.

Murugan, R., et al.. (2023). Optimal hybrid feature selection technique for diabetic retinopathy grading using fundus images. Sadhana. 48(3). 11 indexed citations

11.

Goel, Tripti, et al.. (2023). Investigating White Matter Abnormalities Associated with Schizophrenia Using Deep Learning Model and Voxel-Based Morphometry. Brain Sciences. 13(2). 267–267. 2 indexed citations

12.

Tanveer, M., M. A. Ganaie, Iman Beheshti, et al.. (2023). Deep learning for brain age estimation: A systematic review. Information Fusion. 96. 130–143. 84 indexed citations breakdown →

13.

Goel, Tripti, et al.. (2023). Association of white matter volume with brain age classification using deep learning network and region wise analysis. Engineering Applications of Artificial Intelligence. 125. 106596–106596. 11 indexed citations

14.

Murugan, R., et al.. (2022). Ada-GridRF: A Fast and Automated Adaptive Boost Based Grid Search Optimized Random Forest Ensemble model for Lung Cancer Detection. Physical and Engineering Sciences in Medicine. 45(3). 981–994. 12 indexed citations

15.

Murugan, R., et al.. (2022). Fast and Robust Exudate Detection in Retinal Fundus Images Using Extreme Learning Machine Autoencoders and Modified KAZE Features. Journal of Digital Imaging. 35(3). 496–513. 24 indexed citations

16.

Murugan, R., et al.. (2022). AMDNet: Age-related Macular Degeneration diagnosis through retinal Fundus Images using Lightweight Convolutional Neural Network. 1–6. 3 indexed citations

17.

Murugan, R., et al.. (2021). WOANet: Whale optimized deep neural network for the classification of COVID-19 from radiography images. Journal of Applied Biomedicine. 41(4). 1702–1718. 19 indexed citations

18.

Murugan, R., et al.. (2021). A novel four-step feature selection technique for diabetic retinopathy grading. Physical and Engineering Sciences in Medicine. 44(4). 1351–1366. 29 indexed citations

19.

Goel, Tripti, et al.. (2021). Multi-COVID-Net: Multi-objective optimized network for COVID-19 diagnosis from chest X-ray images. Applied Soft Computing. 115. 108250–108250. 28 indexed citations

20.

Goel, Tripti, Vijay Nehra, & Virendra P. Vishwakarma. (2017). Pose Normalization based on Kernel ELM Regression for Face Recognition. International Journal of Image Graphics and Signal Processing. 9(5). 68–75. 5 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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