Rakesh Kumar Yadav

2.4k total citations
152 papers, 1.1k citations indexed

About

Rakesh Kumar Yadav is a scholar working on Plant Science, Electrical and Electronic Engineering and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Rakesh Kumar Yadav has authored 152 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Plant Science, 15 papers in Electrical and Electronic Engineering and 13 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Rakesh Kumar Yadav's work include Genetic and Environmental Crop Studies (9 papers), Agricultural pest management studies (6 papers) and Artificial Intelligence in Healthcare (5 papers). Rakesh Kumar Yadav is often cited by papers focused on Genetic and Environmental Crop Studies (9 papers), Agricultural pest management studies (6 papers) and Artificial Intelligence in Healthcare (5 papers). Rakesh Kumar Yadav collaborates with scholars based in India, Nepal and United States. Rakesh Kumar Yadav's co-authors include Niraj Tripathi, M. K. Tripathi, Sushma Tiwari, Pramod Kumar Sharma, Mahima Gupta, Sonali Vyas, Kamal Shah, Hitesh Kumar Dewangan, Vinay K. Bahl and Nitish Naik and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and The American Journal of Cardiology.

In The Last Decade

Rakesh Kumar Yadav

119 papers receiving 1.0k citations

Peers

Rakesh Kumar Yadav
Xi Tan United States
Shweta Srivastava United States
Abdul Hannan Pakistan
Yuxi Li China
Anil Jain India
Ghulam Rasool United States
Xi Tan United States
Rakesh Kumar Yadav
Citations per year, relative to Rakesh Kumar Yadav Rakesh Kumar Yadav (= 1×) peers Xi Tan

Countries citing papers authored by Rakesh Kumar Yadav

Since Specialization
Citations

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

Fields of papers citing papers by Rakesh Kumar Yadav

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rakesh Kumar Yadav

This figure shows the co-authorship network connecting the top 25 collaborators of Rakesh Kumar Yadav. A scholar is included among the top collaborators of Rakesh Kumar 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 Rakesh Kumar Yadav. Rakesh Kumar 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
2.
Yadav, Rakesh Kumar, et al.. (2024). A Model for Brain Tumor Detection Using a Modified Convolution Layer ResNet-50. Indian Journal of Information Sources and Services. 14(1). 29–38. 3 indexed citations
3.
Yadav, Rakesh Kumar, et al.. (2024). Effect of Pectoral Muscles on CNN based Mammographic Cancer Detection. 981–985. 1 indexed citations
4.
Singh, Ashutosh Kumar, et al.. (2024). Unleashing the Potential of IoT Integration for Energy Optimization in Smart Homes. 82–85. 3 indexed citations
6.
Singhal, Prateek & Rakesh Kumar Yadav. (2024). Improved clustering techniques for paediatric cerebral palsy gait assessment during rehabilitation. International Journal of Information Technology.
7.
Yadav, Rakesh Kumar, et al.. (2024). Food designing for Covid-19 patients with the help of applied mathematical optimization technique in LINDO Software. Revista Colombiana de Ciencias Químico Farmacéuticas. 53(2). 522–536.
8.
Yadav, Rakesh Kumar, et al.. (2023). Prediction of Covid-19 infected cases in India using time series model. AIP conference proceedings. 2804. 20294–20294.
9.
Yadav, Rakesh Kumar, et al.. (2023). Lightweight MobileNet Model for Image Tempering Detection. International Journal on Recent and Innovation Trends in Computing and Communication. 11(5). 55–69. 2 indexed citations
10.
Yadav, Rakesh Kumar, et al.. (2023). Optimization of EDM parameters using Ananya algorithm: A new advanced optimization technique. Materials Today Proceedings. 1 indexed citations
11.
Shrivastava, Amit Kumar, et al.. (2023). Evaluation of Antioxidant and Anti-Inflammatory Activities, and Metabolite Profiling of Selected Medicinal Plants of Nepal. Journal of Tropical Medicine. 2023. 1–15. 8 indexed citations
12.
Thapa, Arjun, et al.. (2023). Chemical and biological analysis of extracts of Acorus calamus L.. Journal of Nepal Chemical Society. 43(2). 151–158. 1 indexed citations
13.
Tiwari, Sushma, et al.. (2023). Genetic Variability and Diversity Analysis for Yield and its Associated Traits in Chickpea (Cicer arietinum L.). Current Journal of Applied Science and Technology. 42(16). 17–33. 5 indexed citations
14.
Yadav, Rakesh Kumar, et al.. (2023). Study And Modeling of Question Answer System Using Deep Learning Technique of AI. International Journal on Recent and Innovation Trends in Computing and Communication. 11(2). 1–4.
15.
Dubey, Gaurav, et al.. (2023). Correlation between visual field and retinal nerve fiber layer thickness in adult north Indian population from Gurugram region with glaucoma suspect. Indian Journal of Clinical and Experimental Ophthalmology. 9(1). 34–40.
17.
Verma, Swati, et al.. (2022). Prediction of Academic Performance of Engineering Students by Using Data Mining Techniques. International Journal of Information and Education Technology. 12(11). 1164–1171. 3 indexed citations
18.
Gupta, Mohit, Ankit Bansal, Vardhmaan Jain, et al.. (2020). Telomere length in young patients with acute myocardial infarction without conventional risk factors: A pilot study from a South Asian population. Indian Heart Journal. 72(6). 619–622. 4 indexed citations
19.
Yadav, Rakesh Kumar, et al.. (2019). A Study of Marketing Strategies of Pharmaceutical Industry in India. 6(1). 27–37. 3 indexed citations
20.
Yadav, Rakesh Kumar, Narendra Kumawat, Anita Singh, et al.. (2018). Bio-efficacy of new herbicides on weed dynamics, productivity and nutrient uptake in maize (Zea mays) under rainfed condition of Jhabua hills. The Indian Journal of Agricultural Sciences. 88(7). 1123–1128. 5 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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