Jay Yadav

1.3k total citations · 1 hit paper
44 papers, 893 citations indexed

About

Jay Yadav is a scholar working on Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jay Yadav has authored 44 papers receiving a total of 893 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Pulmonary and Respiratory Medicine, 9 papers in Cardiology and Cardiovascular Medicine and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jay Yadav's work include Cerebrovascular and Carotid Artery Diseases (8 papers), Retinal Imaging and Analysis (7 papers) and Smart Agriculture and AI (6 papers). Jay Yadav is often cited by papers focused on Cerebrovascular and Carotid Artery Diseases (8 papers), Retinal Imaging and Analysis (7 papers) and Smart Agriculture and AI (6 papers). Jay Yadav collaborates with scholars based in India, United States and France. Jay Yadav's co-authors include Gary S. Roubin, Sriram S. Iyer, Jiri J. Vitek, Richard E. Kuntz, Nadim Al‐Mubarak, Camilo R. Gomez, Gishel New, Ming W. Liu, Sunita Yadav and Brahmajee K. Nallamothu and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

In The Last Decade

Jay Yadav

40 papers receiving 838 citations

Hit Papers

Immediate and Late Clinical Outcomes of Carotid Artery St... 2001 2026 2009 2017 2001 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jay Yadav India 11 707 460 414 392 87 44 893
Julia Smith United Kingdom 13 422 0.6× 165 0.4× 214 0.5× 171 0.4× 82 0.9× 21 607
Quirijn J.A. van den Bouwhuijsen Netherlands 10 449 0.6× 361 0.8× 175 0.4× 54 0.1× 111 1.3× 11 593
Jun Tanabe Japan 15 175 0.2× 242 0.5× 75 0.2× 137 0.3× 219 2.5× 89 668
Mathew Holloway United Kingdom 5 245 0.3× 215 0.5× 138 0.3× 24 0.1× 19 0.2× 6 327
Jonathan B. Thomas Canada 9 415 0.6× 371 0.8× 59 0.1× 72 0.2× 321 3.7× 10 660
Ahran Arnold United Kingdom 19 132 0.2× 1.0k 2.2× 100 0.2× 189 0.5× 306 3.5× 61 1.3k
K Irie Japan 9 100 0.1× 91 0.2× 80 0.2× 88 0.2× 32 0.4× 15 319
K Haerten Germany 13 202 0.3× 595 1.3× 194 0.5× 94 0.2× 167 1.9× 40 719
A Giannopoulos United Kingdom 8 219 0.3× 200 0.4× 81 0.2× 13 0.0× 47 0.5× 16 350
Aleksandar D. Popović Serbia 15 57 0.1× 532 1.2× 98 0.2× 30 0.1× 257 3.0× 32 648

Countries citing papers authored by Jay Yadav

Since Specialization
Citations

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

Fields of papers citing papers by Jay Yadav

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jay Yadav

This figure shows the co-authorship network connecting the top 25 collaborators of Jay Yadav. A scholar is included among the top collaborators of Jay Yadav 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 Jay Yadav. Jay Yadav 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.
Yadav, Sunita & Jay Yadav. (2023). Automatic Cataract Severity Detection and Grading Using Deep Learning. Journal of Sensors. 2023(1). 10 indexed citations
2.
Yadav, Sunita & Jay Yadav. (2023). Enhancing Cataract Detection Precision: A Deep Learning Approach. Traitement du signal. 40(4). 1413–1424. 3 indexed citations
3.
Yadav, Sunita, et al.. (2023). Fundus image-based automatic cataract detection and grading system. AIP conference proceedings. 3 indexed citations
4.
Yadav, Jay, et al.. (2020). Predict Growth Stages of Wheat Crop using Digital Image Processing. International Journal of Recent Technology and Engineering (IJRTE). 8(5). 3026–3035. 1 indexed citations
5.
Sharma, B.L., Jay Yadav, & Sunita Yadav. (2020). Predict Crop Production in India Using Machine Learning Technique: A Survey. 993–997. 14 indexed citations
6.
Singh, Laxman, Sunil Kumar Chaudhary, Yogesh Kumar Verma, Jay Yadav, & Rajeev Kumar. (2019). Smart Volume Controller for Mobile Phones. International Journal of Engineering and Advanced Technology. 9(2). 256–259. 3 indexed citations
7.
Kumari, Swati, et al.. (2017). Pathomorphological Diagnosis of Hydatidosis in Slaughtered Sheep. International Journal of Livestock Research. 1–1. 2 indexed citations
8.
Adamson, Philip B., et al.. (2014). BENEFITS OF PULMONARY ARTERY PRESSURE MONITORING EXTEND TO REDUCTION OF ALL-CAUSE REHOSPITALIZATION. Journal of the American College of Cardiology. 63(12). A746–A746. 3 indexed citations
9.
Benza, Raymond L., Amresh Raina, William T. Abraham, et al.. (2014). Pulmonary hypertension related to left heart disease: Insight from a wireless implantable hemodynamic monitor. The Journal of Heart and Lung Transplantation. 34(3). 329–337. 53 indexed citations
10.
Abraham, William T., et al.. (2014). IMPACT OF INTRODUCTION OF PULMONARY ARTERY PRESSURE MONITORING FOR HEART FAILURE MANAGEMENT: LONGITUDINAL RESULTS FROM THE CHAMPION TRIAL. Journal of the American College of Cardiology. 63(12). A766–A766. 5 indexed citations
11.
Miller, Alan B., Peter Carson, Wayne C. Levy, et al.. (2012). IMPACT OF REMOTE, WIRELESS PULMONARY ARTERY HEMODYNAMIC MONITORING IN PATIENTS WITH ATRIAL FIBRILLATION AND CHRONIC HEART FAILURE: INSIGHTS FROM THE CHAMPION TRIAL. Journal of the American College of Cardiology. 59(13). E868–E868. 1 indexed citations
12.
Safian, Robert D., Michael R. Jaff, John F. Bresnahan, et al.. (2010). Protected Carotid Stenting in High‐Risk Patients: Results of the SpideRX Arm of the Carotid Revascularization with ev3 Arterial Technology Evolution Trial. Journal of Interventional Cardiology. 23(5). 491–498. 6 indexed citations
13.
Adamson, Philip B., William T. Abraham, Robert C. Bourge, Lynne W. Stevenson, & Jay Yadav. (2010). CardioMEMS Heart Sensor Allows Monitoring of Pressures to Improve Outcomes in NYHA Class III Heart Failure Patients (CHAMPION) Trial: Impact of Hemodynamic Guided Care on Patients With Preserved Ejection Fraction. Journal of Cardiac Failure. 16(11). 913–913. 11 indexed citations
14.
Mazighi, Mikaël, et al.. (2009). The impact of timing on outcomes of carotid artery stenting in recently symptomatic patients. Journal of NeuroInterventional Surgery. 2(1). 55–58. 10 indexed citations
15.
Gurm, Hitinder S., Brahmajee K. Nallamothu, & Jay Yadav. (2007). Safety of carotid artery stenting for symptomatic carotid artery disease: a meta-analysis. European Heart Journal. 29(1). 113–119. 50 indexed citations
16.
Karha, Juhana, Thomas Carrigan, Anthony A. Bavry, et al.. (2007). Presence of Carotid and Peripheral Arterial Disease in Patients With Left Main Disease. The American Journal of Cardiology. 100(7). 1087–1089. 22 indexed citations
17.
Robbin, Michelle L., Mark E. Lockhart, Therese M. Weber, et al.. (1997). Carotid artery stents: early and intermediate follow-up with Doppler US.. Radiology. 205(3). 749–756. 70 indexed citations
18.
Roubin, Gary S., et al.. (1997). Carotid Stenting: Current Status, Future Prospects. Journal of Vascular and Interventional Radiology. 8(1). 25–28. 4 indexed citations
19.
Singh, Prabhjot, et al.. (1992). Role of vagal and sinoaortic baroreflexes in circulatory adjustments to passive head up tilt.. PubMed. 46(4). 112–8.
20.
Singh, A. K., et al.. (1990). Studies on the agricultural potential of diaralands (flood prone areas) of Eastern Uttar Pradesh.. Indian Journal of Agronomy. 35. 184–189. 1 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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