Ashish Sharma

4.7k total citations · 3 hit papers
81 papers, 2.6k citations indexed

About

Ashish Sharma is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Ashish Sharma has authored 81 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 20 papers in Radiology, Nuclear Medicine and Imaging and 15 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Ashish Sharma's work include Radiomics and Machine Learning in Medical Imaging (18 papers), AI in cancer detection (15 papers) and Cell Image Analysis Techniques (11 papers). Ashish Sharma is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (18 papers), AI in cancer detection (15 papers) and Cell Image Analysis Techniques (11 papers). Ashish Sharma collaborates with scholars based in United States, India and Spain. Ashish Sharma's co-authors include Tahsin Kurç, Joel Saltz, Matthew A. Reyna, Gari D. Clifford, Shamim Nemati, Supreeth P. Shashikumar, Salman Seyedi, Annie Gu, Andoni Elola and Christopher S. Josef and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and JNCI Journal of the National Cancer Institute.

In The Last Decade

Ashish Sharma

73 papers receiving 2.5k 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.

AI in Medical Imaging Informatics: Current Challenges and Future Directions

2020 361 citations Ashish Sharma, Tahsin Kurç et al. profile →
Classification of 12-lead ECGs: the PhysioNet/Computing in Cardiology Challenge 2020

2020 294 citations Erick Andres Perez Alday, Annie Gu et al. Physiological Measurement profile →
Will Two Do? Varying Dimensions in Electrocardiography: The PhysioNet/Computing in Cardiology Challenge 2021

2021 131 citations Matthew A. Reyna, Nadi Sadr et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ashish Sharma United States	25	1.1k	711	637	392	375	81	2.6k
Themis P. Exarchos Greece	19	1.1k 1.0×	654 0.9×	256 0.4×	285 0.7×	200 0.5×	98	3.2k
Mattias Ohlsson Sweden	31	428 0.4×	632 0.9×	664 1.0×	406 1.0×	116 0.3×	152	2.9k
João Sanches Portugal	24	278 0.3×	568 0.8×	334 0.5×	361 0.9×	94 0.3×	111	1.9k
Shenda Hong China	22	578 0.5×	171 0.2×	655 1.0×	187 0.5×	470 1.3×	100	2.2k
Imon Banerjee United States	24	1.0k 1.0×	1.1k 1.5×	180 0.3×	250 0.6×	61 0.2×	152	2.6k
Claire Cui United States	4	921 0.8×	742 1.0×	117 0.2×	175 0.4×	86 0.2×	9	2.4k
Arunachalam Narayanaswamy United States	12	1.2k 1.1×	3.0k 4.2×	190 0.3×	365 0.9×	99 0.3×	15	5.3k
Volodymyr Kuleshov United States	13	1.1k 1.0×	743 1.0×	115 0.2×	178 0.5×	88 0.2×	29	2.9k
Gemma Piella Spain	25	345 0.3×	576 0.8×	422 0.7×	119 0.3×	109 0.3×	122	2.7k
Paolo Soda Italy	26	603 0.6×	593 0.8×	116 0.2×	197 0.5×	83 0.2×	151	2.1k

Countries citing papers authored by Ashish Sharma

Since Specialization

Citations

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

Fields of papers citing papers by Ashish Sharma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ashish Sharma

This figure shows the co-authorship network connecting the top 25 collaborators of Ashish Sharma. A scholar is included among the top collaborators of Ashish 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 Ashish Sharma. Ashish 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, Ashish, et al.. (2024). Obesity and diabetes in heart disease in women. 4(3). 3 indexed citations

Sharma, Ashish, et al.. (2024). Web Based Password Management System For Robust Applications. 1–5.

Sharma, Ashish, et al.. (2023). A scalogram tensor decomposition based ECG quality assessment. Journal of Electrocardiology. 81. 169–175. 1 indexed citations

Patel, Nirav, et al.. (2023). Ischemia but no obstructive coronary artery disease: more than meets the eye. Climacteric. 27(1). 22–31. 3 indexed citations

Yadav, Ashu, et al.. (2023). Application of Kano model in customer requirements analysis of electric two-wheelers. AIP conference proceedings. 2730. 40013–40013. 1 indexed citations

Sharma, Ashish, et al.. (2023). K-means Clustering Powered Context Aware Food Recommender System. 2. 1–6.

Reyna, Matthew A., Yashar Kiarashi, Andoni Elola, et al.. (2023). Heart murmur detection from phonocardiogram recordings: The George B. Moody PhysioNet Challenge 2022. SHILAP Revista de lepidopterología. 2(9). e0000324–e0000324. 41 indexed citations

Reyna, Matthew A., Nadi Sadr, Erick Andres Perez Alday, et al.. (2022). Issues in the automated classification of multilead ecgs using heterogeneous labels and populations. Physiological Measurement. 43(8). 84001–84001. 26 indexed citations

Mehta, Puja K., Ashish Sharma, J. Douglas Bremner, & Viola Vaccarino. (2022). Mental Stress-Induced Myocardial Ischemia. Current Cardiology Reports. 24(12). 2109–2120. 24 indexed citations

10.

Latif, Muhammad, Sudhanshu Shukla, Perla M. Del Río Estrada, et al.. (2021). Immune mechanisms in cancer patients that lead to poor outcomes of SARS-CoV-2 infection. Translational research. 241. 83–95. 14 indexed citations

11.

Alday, Erick Andres Perez, Annie Gu, Amit Shah, et al.. (2020). Classification of 12-lead ECGs: the PhysioNet/Computing in Cardiology Challenge 2020. Physiological Measurement. 41(12). 124003–124003. 294 indexed citations breakdown →

12.

Kathiravelu, Pradeeban, Ashish Sharma, Saptarshi Purkayastha, et al.. (2020). Developing and Deploying Machine Learning Pipelines against Real-Time Image Streams from the PACS.. arXiv (Cornell University). 1 indexed citations

13.

Gupta, Rajarsi, Le Hou, Shahira Abousamra, et al.. (2020). Utilizing Automated Breast Cancer Detection to Identify Spatial Distributions of Tumor-Infiltrating Lymphocytes in Invasive Breast Cancer. American Journal Of Pathology. 190(7). 1491–1504. 73 indexed citations

14.

Marble, Hetal D., Sarah Dudgeon, Amanda Lowe, et al.. (2020). A Regulatory Science Initiative to Harmonize and Standardize Digital Pathology and Machine Learning Processes to Speed up Clinical Innovation to Patients. Journal of Pathology Informatics. 11(1). 22–22. 21 indexed citations

15.

Reyna, Matthew A., Salman Seyedi, Russell Jeter, et al.. (2019). Early Prediction of Sepsis from Clinical Data: the PhysioNet/Computing in Cardiology Challenge 2019. Computing in Cardiology Conference. 1–4. 31 indexed citations

16.

Reyna, Matthew A., Supreeth P. Shashikumar, Benjamin Moody, et al.. (2019). Early Prediction of Sepsis from Clinical Data: The PhysioNet/Computing in Cardiology Challenge 2019. Computing in cardiology. 45. 105 indexed citations

17.

Saltz, Joel, Ashish Sharma, Jonas S. Almeida, et al.. (2017). A Containerized Software System for Generation, Management, and Exploration of Features from Whole Slide Tissue Images. Cancer Research. 77(21). e79–e82. 33 indexed citations

18.

Chennubhotla, Chakra, Andriy Fedorov, Edward D. Helton, et al.. (2017). An Assessment of Imaging Informatics for Precision Medicine in Cancer. Yearbook of Medical Informatics. 26(1). 110–119. 14 indexed citations

19.

Pan, Tony, Metin N. Gürcan, Stephen Langella, et al.. (2007). GridCAD: Grid-based Computer-aided Detection System. Radiographics. 27(3). 889–897. 10 indexed citations

20.

Ahmad, Shahab, et al.. (2001). Anatomy of TRMM Science Data Support at the Goddard DAAC. AGUFM. 2001.

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