Vibhash Yadav

467 total citations
17 papers, 260 citations indexed

About

Vibhash Yadav is a scholar working on Information Systems, Software and Computer Vision and Pattern Recognition. According to data from OpenAlex, Vibhash Yadav has authored 17 papers receiving a total of 260 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Information Systems, 6 papers in Software and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Vibhash Yadav's work include Software Reliability and Analysis Research (6 papers), Software Engineering Research (6 papers) and Medical Image Segmentation Techniques (3 papers). Vibhash Yadav is often cited by papers focused on Software Reliability and Analysis Research (6 papers), Software Engineering Research (6 papers) and Medical Image Segmentation Techniques (3 papers). Vibhash Yadav collaborates with scholars based in India, Russia and United States. Vibhash Yadav's co-authors include Siddhartha Kumar Arjaria, Dhananjay Bisen, Annu Mishra, Satya Prakash Yadav, Raghuraj Singh, Mayank Singh, Антон Финогеев, Sergey Gataullin, Namrata Dhanda and Satya P. Yadav and has published in prestigious journals such as ACM Computing Surveys, Sustainability and Archives of Computational Methods in Engineering.

In The Last Decade

Vibhash Yadav

15 papers receiving 231 citations

Peers

Vibhash Yadav

HIM

CVPR

ECP

G S Pradeep Ghantasala India

B. Yamini India

Amena Mahmoud Egypt

Surendran Rajendran India

A.K.M. Muzahidul Islam Bangladesh

Harshita Patel India

Sulaima Lebbe Abdul Haleem India

Faiz Ali Shah Estonia

Tamilvizhi Thanarajan India

Saravanan Alagarsamy India

G S Pradeep Ghantasala India

Vibhash Yadav

126 ×1.3

43 ×0.7

HIM

34 ×0.9

CVPR

65 ×2.0

26 ×1.0

ECP

Citations per year, relative to Vibhash Yadav Vibhash Yadav (= 1×) peers G S Pradeep Ghantasala

Countries citing papers authored by Vibhash Yadav

Since Specialization

Citations

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

Fields of papers citing papers by Vibhash Yadav

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vibhash Yadav

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

All Works

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17 of 17 papers shown

Yadav, Vibhash, et al.. (2024). Advance comprehensive analysis for Zigbee network-based IoT system security. Discover Computing. 27(1). 7 indexed citations

Dhanda, Namrata, et al.. (2024). Enhanced Edge Detection through Binary Particle Swarm Optimization and L0 Guided Filtering. ICST Transactions on Scalable Information Systems. 11. 1 indexed citations

Dhanda, Namrata, et al.. (2024). Enhancing Image Segmentation through an Innovative Hybrid Kernel: A Weighted Fusion of Sobel and Prewitt Operators Using Artificial Neural Networks. 1–5.

Singh, Raghuraj, et al.. (2023). Estimation Model for Enhanced Predictive Object Point Metric in OO Software Size Estimation Using Deep Learning. The International Arab Journal of Information Technology. 20(3). 6 indexed citations

Gataullin, Sergey, et al.. (2022). Deep Learning Method for Recognition and Classification of Images from Video Recorders in Difficult Weather Conditions. Sustainability. 14(4). 2420–2420. 31 indexed citations

Dhanda, Namrata, et al.. (2022). Binary particle swarm optimization based edge detection under weighted image sharpening filter. International Journal of Information Technology. 15(1). 289–299. 7 indexed citations

Yadav, Satya Prakash, et al.. (2021). Survey on Machine Learning in Speech Emotion Recognition and Vision Systems Using a Recurrent Neural Network (RNN). Archives of Computational Methods in Engineering. 29(3). 1753–1770. 84 indexed citations

Yadav, Vibhash, et al.. (2021). Research methodology for quantitative and qualitative parameters of parking space use. Procedia Computer Science. 193. 62–71. 2 indexed citations

Bisen, Dhananjay, et al.. (2020). Thyroid Disease Prediction Using Machine Learning Approaches. National Academy Science Letters. 44(3). 233–238. 86 indexed citations

10.

Yadav, Neha, et al.. (2019). Software Matrices Selection for a SDLC Based Software Reliability Prediction Model. International Journal of Recent Technology and Engineering (IJRTE). 8(2S6). 959–963. 1 indexed citations

11.

Yadav, Vibhash, et al.. (2018). An Automated Software Cost and Schedule Measurement Tool for OO System using Predictive Object Point Sizing Metrics.. Journal of Emerging Technologies and Innovative Research. 5(2). 1106-1111–1106-1111.

12.

Yadav, Vibhash, et al.. (2018). Automated Regression Test Case Generation for Web Application. ACM Computing Surveys. 51(4). 1–25. 15 indexed citations

13.

Singh, Raghuraj, et al.. (2017). Reliability assessment of mobile agent based system in suspicious MANET. International Journal of Information Technology. 9(2). 209–214. 4 indexed citations

14.

Yadav, Neha, et al.. (2016). Role of Evolutionary algorithms in Software Reliability Optimization. 127. 45–48. 3 indexed citations

15.

Singh, Raghuraj, et al.. (2016). Reliable Mobile Agent based system for suspicious MANET. 4. 189–192. 1 indexed citations

16.

Yadav, Vibhash & Raghuraj Singh. (2013). Predicting Design Quality of Object-Oriented Software using UML diagrams. 2. 1462–1467. 4 indexed citations

17.

Singh, Raghuraj, et al.. (2010). An enhanced speech-based Internet browsing system for visually challenged. 724–730. 8 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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