Rishabh Sharma

904 total citations
51 papers, 414 citations indexed

About

Rishabh Sharma is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Rishabh Sharma has authored 51 papers receiving a total of 414 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Rishabh Sharma's work include Mathematical Inequalities and Applications (6 papers), Medical Imaging Techniques and Applications (4 papers) and Image and Signal Denoising Methods (4 papers). Rishabh Sharma is often cited by papers focused on Mathematical Inequalities and Applications (6 papers), Medical Imaging Techniques and Applications (4 papers) and Image and Signal Denoising Methods (4 papers). Rishabh Sharma collaborates with scholars based in India, United States and Greece. Rishabh Sharma's co-authors include Archana J. McEligot, Anand Panangadan, Valerie Poynor, Om Prakash Verma, Ravinder Kumar, T. J. T. Spanos, Vicente de la Cruz, Arpan Gupta, Deepak Kumar and Nikolaos V. Tsekos and has published in prestigious journals such as Scientific Reports, Nutrients and Journal of Chemical Information and Modeling.

In The Last Decade

Rishabh Sharma

35 papers receiving 385 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rishabh Sharma India	9	58	55	52	52	41	51	414
LI Qia China	9	21 0.4×	35 0.6×	22 0.4×	51 1.0×	33 0.8×	57	334
Tianjun Li China	20	125 2.2×	187 3.4×	76 1.5×	48 0.9×	38 0.9×	57	873
Jun Pan China	21	152 2.6×	57 1.0×	30 0.6×	37 0.7×	16 0.4×	73	975
Haithem Taha Mohammad Ali Iraq	12	47 0.8×	87 1.6×	25 0.5×	33 0.6×	63 1.5×	23	448
Shaobing Chen China	8	39 0.7×	134 2.4×	96 1.8×	158 3.0×	8 0.2×	12	688
Limin Zou China	13	51 0.9×	88 1.6×	24 0.5×	35 0.7×	34 0.8×	68	537
Dan Niu China	14	46 0.8×	68 1.2×	18 0.3×	55 1.1×	33 0.8×	108	664
Tsutomu Endo Japan	16	42 0.7×	77 1.4×	36 0.7×	108 2.1×	10 0.2×	94	842
Anuradha Roy United States	16	45 0.8×	128 2.3×	61 1.2×	19 0.4×	10 0.2×	58	1.1k

Countries citing papers authored by Rishabh Sharma

Since Specialization

Citations

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

Fields of papers citing papers by Rishabh Sharma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rishabh Sharma

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

All Works

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20 of 20 papers shown

Sharma, Rishabh, et al.. (2025). Fuzz Testing Molecular Representation Using Deep Variational Anomaly Generation. Journal of Chemical Information and Modeling. 65(4). 1911–1927.

Sharma, Rishabh, et al.. (2024). Crypto PricePrediction using ML. SSRN Electronic Journal.

Sharma, Rishabh, et al.. (2024). Let UNet Play an Adversarial Game: Investigating the Effect of Adversarial Training in Enhancing Low-Resolution MRI. Journal of Imaging Informatics in Medicine. 38(1). 629–645. 4 indexed citations

Sharma, Rishabh, et al.. (2024). Mushroom Classification Using CNN and Gradient Boosting Models. 1856–1861. 1 indexed citations

Sharma, Rishabh, et al.. (2024). Optimizing Cloud Security: A Study of Effective Cybersecurity Measures for Organizations. 277–281. 1 indexed citations

Sharma, Rishabh, et al.. (2024). Optimizing Autonomous Vehicle Navigation with DQN and PPO: A Reinforcement Learning Approach. 1–5. 1 indexed citations

Sharma, Rishabh, et al.. (2024). Creating a New Way to Classify Squash Varieties in India by Using CNN and LSTM Techniques. 1–5.

Sharma, Rishabh, et al.. (2024). HR Analytics for Talent Acquisition: Leveraging Genetic Algorithms and Neural Networks. 1–4.

Sharma, Rishabh & Abhinav Mishra. (2024). Advanced NLP and ML Techniques in E-Commerce: Enhancing Customer Experience with AI Chatbots. 1–5.

10.

Sharma, Rishabh, et al.. (2024). Strategic Deployment of Deep Learning Algorithms to Mitigate Fraud in Online Finance. 1007–1011. 1 indexed citations

11.

Sharma, Preeti, et al.. (2023). An Unusual Case of Symptomatic Isolated Lingual Cysticercosis: Clinical Suspicion Helped Prevent Disseminated Disease. Indian Journal of Otolaryngology and Head & Neck Surgery. 76(2). 2127–2130.

12.

Gupta, Arpan, et al.. (2023). Metamaterial foundation for seismic wave attenuation for low and wide frequency band. Scientific Reports. 13(1). 2293–2293. 23 indexed citations

13.

Sharma, Rishabh, Panagiotis Tsiamyrtzis, Andrew Webb, Ernst L. Leiss, & Nikolaos V. Tsekos. (2023). Learning to deep learning: statistics and a paradigm test in selecting a UNet architecture to enhance MRI. Magnetic Resonance Materials in Physics Biology and Medicine. 37(3). 507–528. 7 indexed citations

14.

Sharma, Rishabh, Ludovic Sibille, & Rachid Fahmi. (2023). Multi‐branch convolutional neural network for Alzheimer’s Disease versus normal control classification using PET images. Alzheimer s & Dementia. 19(S3).

15.

Sharma, Rishabh, Panagiotis Tsiamyrtzis, Andrew Webb, et al.. (2022). A Deep Learning Approach to Upscaling “Low-Quality” MR Images: An In Silico Comparison Study Based on the UNet Framework. Applied Sciences. 12(22). 11758–11758. 7 indexed citations

16.

Sharma, Rishabh, et al.. (2022). Disease Prediction Using Machine Learning and Deep Learning. International Journal for Research in Applied Science and Engineering Technology. 10(5). 2655–2663. 4 indexed citations

17.

McEligot, Archana J., Valerie Poynor, Rishabh Sharma, & Anand Panangadan. (2020). Logistic LASSO Regression for Dietary Intakes and Breast Cancer. Nutrients. 12(9). 2652–2652. 201 indexed citations

18.

Sharma, Rishabh, et al.. (2019). EDGE COMPUTING: EVOLUTION, CHALLENGES, AND FUTURE DIRECTIONS. Türk bilgisayar ve matematik eğitimi dergisi. 10(1). 741–745.

19.

Sharma, Rishabh & Ravinder Kumar. (2013). Remark on upper bounds for the spread of a matrix. Linear Algebra and its Applications. 438(11). 4359–4362. 16 indexed citations

20.

Verma, Om Prakash & Rishabh Sharma. (2012). Newtonian Gravitational Edge Detection Using Gravitational Search Algorithm. 184–188. 6 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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