Samir S. Yadav

1.4k total citations · 1 hit paper
11 papers, 822 citations indexed

About

Samir S. Yadav is a scholar working on Artificial Intelligence, Cardiology and Cardiovascular Medicine and Health Information Management. According to data from OpenAlex, Samir S. Yadav has authored 11 papers receiving a total of 822 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Cardiology and Cardiovascular Medicine and 3 papers in Health Information Management. Recurrent topics in Samir S. Yadav's work include ECG Monitoring and Analysis (4 papers), Artificial Intelligence in Healthcare (3 papers) and Digital Imaging for Blood Diseases (2 papers). Samir S. Yadav is often cited by papers focused on ECG Monitoring and Analysis (4 papers), Artificial Intelligence in Healthcare (3 papers) and Digital Imaging for Blood Diseases (2 papers). Samir S. Yadav collaborates with scholars based in India and United Arab Emirates. Samir S. Yadav's co-authors include Shivajirao M. Jadhav and Vinod J. Kadam and has published in prestigious journals such as Expert Systems with Applications, Multimedia Tools and Applications and Journal Of Big Data.

In The Last Decade

Samir S. Yadav

11 papers receiving 766 citations

Hit Papers

Deep convolutional neural network based medical image cla... 2019 2026 2021 2023 2019 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Samir S. Yadav India 7 345 330 212 102 101 11 822
Dengao Li China 15 272 0.8× 404 1.2× 127 0.6× 79 0.8× 66 0.7× 91 807
Malaya Kumar Nath India 21 534 1.5× 375 1.1× 493 2.3× 52 0.5× 107 1.1× 67 1.3k
Justin Ker Singapore 5 537 1.6× 513 1.6× 356 1.7× 214 2.1× 176 1.7× 6 1.3k
Mustafa Ghaderzadeh Iran 17 296 0.9× 343 1.0× 236 1.1× 27 0.3× 48 0.5× 28 810
Ali Mottaghi United States 4 229 0.7× 235 0.7× 173 0.8× 42 0.4× 92 0.9× 5 743
Norliza Mohd Noor Malaysia 13 245 0.7× 142 0.4× 171 0.8× 37 0.4× 71 0.7× 115 646
Mohammed Yusuf Ansari Qatar 13 251 0.7× 164 0.5× 178 0.8× 62 0.6× 162 1.6× 21 696
Jintai Chen China 14 165 0.5× 267 0.8× 310 1.5× 64 0.6× 80 0.8× 38 701
Muhammad Yaqub China 16 142 0.4× 222 0.7× 165 0.8× 252 2.5× 118 1.2× 46 856

Countries citing papers authored by Samir S. Yadav

Since Specialization
Citations

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

Fields of papers citing papers by Samir S. Yadav

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samir S. Yadav

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

All Works

11 of 11 papers shown
1.
Yadav, Samir S., et al.. (2021). Application of Deep Convulational Neural Network in Medical Image Classification. 120–129. 1 indexed citations
2.
Yadav, Samir S., et al.. (2021). Machine Learning based Malaria Prediction using Clinical Findings. 216–222. 13 indexed citations
4.
Yadav, Samir S., et al.. (2021). Convolutional Neural Networks Based Diagnosis of Myocardial Infarction in Electrocardiograms. 581–586. 6 indexed citations
5.
Yadav, Samir S. & Shivajirao M. Jadhav. (2020). Thermal infrared imaging based breast cancer diagnosis using machine learning techniques. Multimedia Tools and Applications. 81(10). 13139–13157. 36 indexed citations
6.
Yadav, Samir S., et al.. (2020). Application of Machine Learning for the Detection of Heart Disease. 165–172. 24 indexed citations
7.
Yadav, Samir S. & Shivajirao M. Jadhav. (2020). Detection of common risk factors for diagnosis of cardiac arrhythmia using machine learning algorithm. Expert Systems with Applications. 163. 113807–113807. 38 indexed citations
8.
Yadav, Samir S., et al.. (2020). Automated Cardiac Disease Diagnosis Using Support Vector Machine. 56–61. 4 indexed citations
9.
Yadav, Samir S. & Shivajirao M. Jadhav. (2019). Machine Learning Algorithms for Disease Prediction Using Iot Environment. International Journal of Engineering and Advanced Technology. 8(6). 4303–4307. 20 indexed citations
10.
Yadav, Samir S. & Shivajirao M. Jadhav. (2019). Deep convolutional neural network based medical image classification for disease diagnosis. Journal Of Big Data. 6(1). 664 indexed citations breakdown →
11.
Kadam, Vinod J., Shivajirao M. Jadhav, & Samir S. Yadav. (2019). Bagging based ensemble of Support Vector Machines with improved elitist GA-SVM features selection for cardiac arrhythmia classification. International Journal of Hybrid Intelligent Systems. 16(1). 25–33. 10 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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