Drishti Yadav
- Computer Vision and Pattern Recognition top 10%
- Cognitive Neuroscience
- Industrial and Manufacturing Engineering top 10%
- Control and Systems Engineering
- Electrical and Electronic Engineering
- Co-authors
- Om Prakash VermaHimanshu GuptaIrshad Ahmad AnsariChang Wook AhnKumar SauravKaran VeerSaurav KumarNikhil Pachauri
- Topics
- Software Reliability and Analysis Research (4 papers)Metaheuristic Optimization Algorithms Research (4 papers)Process Optimization and Integration (4 papers)
- Cited by
- Industrial and Manufacturing EngineeringCognitive NeuroscienceComputer Vision and Pattern Recognition
- Partner nations
- IndiaAustriaSouth Korea
In The Last Decade
Drishti Yadav
21 papers receiving 417 citations
Peers
Comparison fields: 5 of 125
- Computer Vision and Pattern Recognition 69
- Cognitive Neuroscience 67
- Industrial and Manufacturing Engineering 50
- Control and Systems Engineering 49
- Electrical and Electronic Engineering 49
Countries citing papers authored by Drishti Yadav
This map shows the geographic impact of Drishti 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 Drishti Yadav with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Drishti Yadav more than expected).
Fields of papers citing papers by Drishti Yadav
This network shows the impact of papers produced by Drishti 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 Drishti Yadav. The network helps show where Drishti Yadav may publish in the future.
Co-authorship network of co-authors of Drishti Yadav
This figure shows the co-authorship network connecting the top 25 collaborators of Drishti Yadav. A scholar is included among the top collaborators of Drishti 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 Drishti Yadav. Drishti Yadav is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 17 | |
| 3 | 4 | |
| 4 | 9 | |
| 5 | 5 | |
| 6 | 6 | |
| 7 | 3 | |
| 8 | 32 | |
| 9 | 5 | |
| 10 | 18 | |
| 11 | 85 | |
| 12 | 9 | |
| 13 | 15 | |
| 14 | 8 | |
| 15 | 20 | |
| 16 | 109 | |
| 17 | 68 | |
| 18 | 0 | |
| 19 | 3 | |
| 20 | 3 |
About Drishti Yadav
Drishti Yadav is a scholar working on Software, Control and Systems Engineering and Computational Theory and Mathematics, having authored 22 papers that have together received 437 indexed citations. Recurring topics across this work include Software Reliability and Analysis Research (4 papers), Metaheuristic Optimization Algorithms Research (4 papers) and Process Optimization and Integration (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (50 citations), Cognitive Neuroscience (67 citations) and Computer Vision and Pattern Recognition (69 citations). Drishti Yadav has collaborated with scholars based in India, Austria and South Korea. Frequent co-authors include Om Prakash Verma, Himanshu Gupta, Irshad Ahmad Ansari, Chang Wook Ahn, Kumar Saurav, Karan Veer, Saurav Kumar, Nikhil Pachauri, Tarun Kumar Sharma and Dejan Ničković. Their work appears in journals such as Journal of Neuroscience Methods, Neural Computing and Applications and Heliyon.
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.