Ayush Goyal

1.4k total citations
69 papers, 794 citations indexed

About

Ayush Goyal is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Ayush Goyal has authored 69 papers receiving a total of 794 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 20 papers in Radiology, Nuclear Medicine and Imaging and 15 papers in Artificial Intelligence. Recurrent topics in Ayush Goyal's work include Medical Image Segmentation Techniques (13 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and AI in cancer detection (6 papers). Ayush Goyal is often cited by papers focused on Medical Image Segmentation Techniques (13 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and AI in cancer detection (6 papers). Ayush Goyal collaborates with scholars based in India, United States and United Kingdom. Ayush Goyal's co-authors include Anupama Bhan, Sanju Tiwari, Dhirendra Prasad Yadav, Devottam Gaurav, Madhusudan Singh, Ashish Sharma, Gahangir Hossain, David Hicks, Jack Lee and Anand Singh Jalal and has published in prestigious journals such as SHILAP Revista de lepidopterología, Macromolecules and IEEE Transactions on Medical Imaging.

In The Last Decade

Ayush Goyal

62 papers receiving 755 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ayush Goyal India 13 164 159 137 134 87 69 794
V. Rajesh India 18 166 1.0× 155 1.0× 87 0.6× 83 0.6× 62 0.7× 115 949
Suneet Gupta India 18 188 1.1× 247 1.6× 156 1.1× 92 0.7× 28 0.3× 42 1.4k
Nora El-Rashidy Egypt 15 312 1.9× 80 0.5× 209 1.5× 88 0.7× 129 1.5× 47 876
Beatriz Remeseiro Spain 15 338 2.1× 221 1.4× 211 1.5× 143 1.1× 67 0.8× 48 1.1k
Hanen Karamti Saudi Arabia 18 183 1.1× 94 0.6× 68 0.5× 156 1.2× 61 0.7× 93 916
Sandeep Kumar Mathivanan India 17 310 1.9× 244 1.5× 216 1.6× 69 0.5× 62 0.7× 99 929
Hiren Kumar Thakkar India 14 116 0.7× 158 1.0× 36 0.3× 150 1.1× 41 0.5× 42 616
James Jin Kang Australia 13 315 1.9× 186 1.2× 82 0.6× 151 1.1× 47 0.5× 37 1.0k
P. Manimegalai India 14 103 0.6× 172 1.1× 108 0.8× 85 0.6× 20 0.2× 96 686
Tianyi Zhang China 17 436 2.7× 133 0.8× 160 1.2× 160 1.2× 40 0.5× 104 1.3k

Countries citing papers authored by Ayush Goyal

Since Specialization
Citations

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

Fields of papers citing papers by Ayush Goyal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ayush Goyal

This figure shows the co-authorship network connecting the top 25 collaborators of Ayush Goyal. A scholar is included among the top collaborators of Ayush Goyal 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 Ayush Goyal. Ayush Goyal 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.
Ajjan, Ramzi, Thomas M. Barber, Sunil Bhandari, et al.. (2025). Pineal gland senescence: an emerging ageing-related pathology?. HORMONES. 25(1). 323–331.
2.
Singh, Surjit, et al.. (2025). Performance analysis of blockchain-based secured distributed deep federated learning for wearable internet of things. Cluster Computing. 28(5). 2 indexed citations
3.
Rahman, Md Habibur, et al.. (2024). Enhancing Intrusion Detection Through Deep Learning and Generative Adversarial Network. 1–6. 2 indexed citations
4.
Yadav, Dhirendra Prasad, et al.. (2023). COVID-19 radiograph prognosis using a deep CResNeXt network. Multimedia Tools and Applications. 82(23). 36479–36505. 9 indexed citations
5.
Goyal, Ayush, et al.. (2023). Decentralized Malware Attacks Detection using Blockchain. SHILAP Revista de lepidopterología. 53. 3002–3002. 2 indexed citations
6.
7.
Bhan, Anupama, et al.. (2021). Early Diagnosis of Parkinson’s Disease in brain MRI using Deep Learning Algorithm. 2021 Third International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV). 1467–1470. 18 indexed citations
8.
9.
Bhan, Anupama, et al.. (2021). Computer based diagnosis of Leukemia in blood smear images. 2021 Third International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV). 6 indexed citations
10.
Yadav, Dhirendra Prasad, Ashish Sharma, Madhusudan Singh, & Ayush Goyal. (2019). Feature Extraction Based Machine Learning for Human Burn Diagnosis From Burn Images. IEEE Journal of Translational Engineering in Health and Medicine. 7. 1–7. 86 indexed citations
11.
12.
Bhardwaj, Ankur, et al.. (2016). Performance Comparison of Various Filters on Despeckling of Medical Ultrasound Imaging. 3(2). 9–16. 2 indexed citations
13.
Sikarwar, Basant Singh, Mukesh Roy, Priya Ranjan, & Ayush Goyal. (2016). Automatic disease screening method using image processing for dried blood microfluidic drop stain pattern recognition. Journal of Medical Engineering & Technology. 40(5). 245–254. 8 indexed citations
14.
Bhan, Anupama, Ayush Goyal, Harsh Harsh, Naveen Chauhan, & Ching‐Wei Wang. (2016). Feature Line Profile Based Automatic Detection of Dental Caries in Bitewing Radiography. 8 indexed citations
15.
Goyal, Ayush, et al.. (2015). Automatic Detection of Mycobacterium tuberculosis inStained Sputum and Urine Smear Images. 6(3). 3 indexed citations
16.
Goyal, Ayush, et al.. (2015). Belongingness Clustering and Region Labeling Based Pixel Classification for Automatic Left Ventricle Segmentation in Cardiac MRI Images. 1 indexed citations
17.
18.
Hyde, Eoin, Andrew Cookson, Jack Lee, et al.. (2013). Multi-Scale Parameterisation of a Myocardial Perfusion Model Using Whole-Organ Arterial Networks. Annals of Biomedical Engineering. 42(4). 797–811. 31 indexed citations
19.
Goyal, Ayush, Jack Lee, Pablo Lamata, et al.. (2012). Model-Based Vasculature Extraction From Optical Fluorescence Cryomicrotome Images. IEEE Transactions on Medical Imaging. 32(1). 56–72. 28 indexed citations
20.

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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