Neeraj Sharma

928 total citations
32 papers, 542 citations indexed

About

Neeraj Sharma is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Neeraj Sharma has authored 32 papers receiving a total of 542 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cardiology and Cardiovascular Medicine, 10 papers in Pulmonary and Respiratory Medicine and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Neeraj Sharma's work include Cerebrovascular and Carotid Artery Diseases (9 papers), Cardiovascular Health and Disease Prevention (9 papers) and Neuroscience and Neural Engineering (6 papers). Neeraj Sharma is often cited by papers focused on Cerebrovascular and Carotid Artery Diseases (9 papers), Cardiovascular Health and Disease Prevention (9 papers) and Neuroscience and Neural Engineering (6 papers). Neeraj Sharma collaborates with scholars based in India, Italy and United States. Neeraj Sharma's co-authors include Jasjit S. Suri, Pankaj K. Jain, Luca Saba, Andrew Nicolaides, Luca Saba, Gopal Krishna Nayak, Sanjay Saxena, Biswajit Jena, Amer M. Johri and A Giannopoulos and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Instrumentation and Measurement and IEEE Sensors Journal.

In The Last Decade

Neeraj Sharma

31 papers receiving 530 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Neeraj Sharma India	13	208	161	138	126	91	32	542
Zhipei Huang China	12	213 1.0×	143 0.9×	83 0.6×	84 0.7×	207 2.3×	51	644
Isam Abu‐Qasmieh Jordan	13	178 0.9×	101 0.6×	103 0.7×	226 1.8×	65 0.7×	39	604
Muhammad Naufal Rachmatullah Indonesia	15	98 0.5×	106 0.7×	377 2.7×	115 0.9×	126 1.4×	60	712
Annisa Darmawahyuni Indonesia	17	107 0.5×	124 0.8×	452 3.3×	123 1.0×	146 1.6×	53	776
Mario Ceresa Spain	14	195 0.9×	220 1.4×	45 0.3×	78 0.6×	127 1.4×	49	683
Meiping Huang China	14	215 1.0×	156 1.0×	124 0.9×	34 0.3×	131 1.4×	86	686
Marta Borowska Poland	12	111 0.5×	60 0.4×	50 0.4×	67 0.5×	89 1.0×	47	537
Muhammad Owais Khan Pakistan	16	114 0.5×	245 1.5×	163 1.2×	34 0.3×	43 0.5×	45	680
Simone Balocco Spain	13	167 0.8×	133 0.8×	112 0.8×	64 0.5×	154 1.7×	44	630

Countries citing papers authored by Neeraj Sharma

Since Specialization

Citations

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

Fields of papers citing papers by Neeraj Sharma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neeraj Sharma

This figure shows the co-authorship network connecting the top 25 collaborators of Neeraj Sharma. A scholar is included among the top collaborators of Neeraj 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 Neeraj Sharma. Neeraj Sharma 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

Sharma, Neeraj, et al.. (2025). Augmenting Precision in Malignant Tissue Segmentation: Deep Learning with Noise Reduction Enhancement. IETE Journal of Research. 71(10). 3438–3447. 1 indexed citations

Kumar, Chandan, Ajay Kumar Sahi, Amit Kumar, et al.. (2024). Electrospun Stannic Oxide Nanofiber Thin-Film Based Sensing Device for Monitoring Functional Behaviors of Adherent Mammalian Cells. IEEE Transactions on NanoBioscience. 24(1). 120–126. 1 indexed citations

Sharma, Neeraj, et al.. (2024). DEEP ENSEMBLE METHODS FOR IDENTIFICATION OF MALICIOUS TISSUES IN NOISY BREAST HISTOPATHOLOGICAL IMAGES. Biomedical Engineering Applications Basis and Communications. 37(1). 4 indexed citations

Kumari, Rekha, Rozi Sharma, Neeraj Sharma, Deepak Pant, & Piyush Malaviya. (2023). Impact of greywater on germination and physiological responses of Triticum aestivum L. HD 2967 in soil amended with poultry biochar. Environmental Technology. 47(8). 1233–1244. 6 indexed citations

Jain, Pankaj K., Neeraj Sharma, Mannudeep K. Kalra, et al.. (2022). Far wall plaque segmentation and area measurement in common and internal carotid artery ultrasound using U-series architectures: An unseen Artificial Intelligence paradigm for stroke risk assessment. Computers in Biology and Medicine. 149. 106017–106017. 25 indexed citations

Kumar, Chandan, et al.. (2021). Extended Large Area Si/ZnO Heterojunction Biosensor for Assessing Functional Behavior of Primary Cortical Neuronal Cells. IEEE Sensors Journal. 21(13). 14619–14626. 5 indexed citations

Balavigneswaran, Chelladurai Karthikeyan, Chandan Kumar, Suruchi Poddar, et al.. (2021). Aluminium Oxide Thin-Film Based In Vitro Cell-Substrate Sensing Device for Monitoring Proliferation of Myoblast Cells. IEEE Transactions on NanoBioscience. 20(3). 331–337. 3 indexed citations

Saba, Luca, Siva Skandha Sanagala, Suneet Gupta, et al.. (2021). A Multicenter Study on Carotid Ultrasound Plaque Tissue Characterization and Classification Using Six Deep Artificial Intelligence Models: A Stroke Application. IEEE Transactions on Instrumentation and Measurement. 70. 1–12. 30 indexed citations

Jain, Pankaj K., Neeraj Sharma, Luca Saba, et al.. (2021). Unseen Artificial Intelligence—Deep Learning Paradigm for Segmentation of Low Atherosclerotic Plaque in Carotid Ultrasound: A Multicenter Cardiovascular Study. Diagnostics. 11(12). 2257–2257. 32 indexed citations

10.

Sharma, Neeraj, et al.. (2021). A Standalone Real-Time Gait Phase Detection Using Fuzzy-Logic Implementation in Arduino Nano. SN Computer Science. 3(1). 2 indexed citations

11.

Jain, Pankaj K., Neeraj Sharma, A Giannopoulos, et al.. (2021). Hybrid deep learning segmentation models for atherosclerotic plaque in internal carotid artery B-mode ultrasound. Computers in Biology and Medicine. 136. 104721–104721. 81 indexed citations

12.

Jain, Pankaj K., Neeraj Sharma, Luca Saba, et al.. (2021). Automated deep learning-based paradigm for high-risk plaque detection in B-mode common carotid ultrasound scans: an asymptomatic Japanese cohort study. International Angiology. 41(1). 9–23. 29 indexed citations

13.

Jena, Biswajit, Sanjay Saxena, Gopal Krishna Nayak, et al.. (2021). Artificial intelligence-based hybrid deep learning models for image classification: The first narrative review. Computers in Biology and Medicine. 137. 104803–104803. 113 indexed citations

14.

Kumar, Chandan, et al.. (2020). Fabrication of MSM-Based Biosensing Device for Assessing Dynamic Behavior of Adherent Mammalian Cells. IEEE Sensors Journal. 20(17). 9652–9659. 8 indexed citations

15.

Sharma, Shiru, et al.. (2020). Human Locomotion Classification for Different Terrains Using Machine Learning Techniques. Critical Reviews in Biomedical Engineering. 48(4). 199–209. 9 indexed citations

16.

Sharma, Neeraj, et al.. (2020). Clinical Estimation of Fetal Weight with Reference to Johnson’s Formula: An Alternative Solution Adjacent to Sonographic Estimation of Fetal Weight. Kathmandu University Medical Journal. 18(2). 7–12. 2 indexed citations

17.

Sharma, Shiru, et al.. (2020). Evaluation of Deep Learning Methods (DnCNN and U-Net) for Denoising of Heart Auscultation Signals. 151–155. 18 indexed citations

18.

Jain, Pankaj K., Saurabh Gupta, Arnav Bhavsar, Aditya Nigam, & Neeraj Sharma. (2020). Localization of common carotid artery transverse section in B-mode ultrasound images using faster RCNN: a deep learning approach. Medical & Biological Engineering & Computing. 58(3). 471–482. 26 indexed citations

19.

Heitz, Fabrice, et al.. (2020). Evaluation of a Learning-based Deformable Registration Method on Abdominal CT Images. IRBM. 42(2). 94–105. 8 indexed citations

20.

Kumar, Gaurav, et al.. (2019). Changes in electrolyte concentrations alter the impedance during ischemia-reperfusion injury in rat brain. Physiological Measurement. 40(10). 105004–105004. 18 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.

Explore authors with similar magnitude of impact