Sanjay Yadav

2.5k citations
146 papers · 1.5k indexed · h-index 17
Topics
Scientific Measurement and Uncertainty Evaluation (49 papers)Advanced Sensor Technologies Research (39 papers)Sensor Technology and Measurement Systems (32 papers)
Journals
CirculationSHILAP Revista de lepidopterologíaJournal of the American College of Cardiology

In The Last Decade

Sanjay Yadav

137 papers receiving 1.4k citations

Peers

Sanjay Yadav
Comparison fields: 5 of 145
  • Pulmonary and Respiratory Medicine 542
  • Biomedical Engineering 419
  • Cardiology and Cardiovascular Medicine 367
  • Epidemiology 313
  • Neurology 309
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Citations per field
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Citations per year

Countries citing papers authored by Sanjay Yadav

Since Specialization
Citations

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

Fields of papers citing papers by Sanjay Yadav

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanjay Yadav

This figure shows the co-authorship network connecting the top 25 collaborators of Sanjay Yadav. A scholar is included among the top collaborators of Sanjay 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 Sanjay Yadav. Sanjay 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
#WorkIndexed citations
1 2
2 4
3 1
4 3
5 17
6 4
7 5
8 24
9 17
10 10
11 2
12
Standardization of pressure calibration (7-70 MPa) using digital pressure calibrator
5
13
A novel versatile strategy for synthesis of new series of 4(3H)-quinazolinone N-nucleosides
4
14
Studies on the stabilities of various types of industrial pressure measuring devices
4
15 283
16
Proficiency testing through interlaboratory comparison in the pressure range up to 70 MPa using pressure dial gauge as an artifact
8
17
Proficiency testing (PT) program under NABL in the pressure range 7-70 MPa using digital pressure calibrator (DPC)
5
18 7
19 4
20 12

About Sanjay Yadav

Sanjay Yadav is a scholar working on Statistics, Probability and Uncertainty, Computer Networks and Communications and Biomedical Engineering, having authored 146 papers that have together received 1.5k indexed citations. Recurring topics across this work include Scientific Measurement and Uncertainty Evaluation (49 papers), Advanced Sensor Technologies Research (39 papers) and Sensor Technology and Measurement Systems (32 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (264 citations), Neurology (309 citations) and Pulmonary and Respiratory Medicine (542 citations). Sanjay Yadav has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Gary S. Roubin, Amit Bandyopadhyay, J Vítek, Ashok Kumar, D. K. Aswal, Vishal Gupta, Vikas N. Thakur, Mark H. Wholey, Alberto Cremonesi and David J. Cohen. Their work appears in journals such as Circulation, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

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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