L. K. Balyan
- Computer Vision and Pattern Recognition top 5%
- Media Technology top 5%
- Modeling and Simulation top 5%
- Numerical Analysis top 10%
- Statistical and Nonlinear Physics top 10%
- Co-authors
- Anil KumarHimanshu SinghGagandeep SinghHeung-No LeeGirish Kumar SinghMukesh KumarAnurag SinghRavibabu Mulaveesala
- Topics
- Image Enhancement Techniques (18 papers)Fractional Differential Equations Solutions (14 papers)Advanced Image Processing Techniques (12 papers)
- Journals
- IEEE AccessApplied Mathematics and ComputationIEEE Transactions on Systems Man and Cybernetics Systems
- Partner nations
- IndiaSouth KoreaUnited States
In The Last Decade
L. K. Balyan
43 papers receiving 374 citations
Peers
Comparison fields: 5 of 48
- Computer Vision and Pattern Recognition 255
- Media Technology 126
- Modeling and Simulation 69
- Numerical Analysis 52
- Statistical and Nonlinear Physics 52
Countries citing papers authored by L. K. Balyan
This map shows the geographic impact of L. K. Balyan'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 L. K. Balyan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L. K. Balyan more than expected).
Fields of papers citing papers by L. K. Balyan
This network shows the impact of papers produced by L. K. Balyan. 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 L. K. Balyan. The network helps show where L. K. Balyan may publish in the future.
Co-authorship network of co-authors of L. K. Balyan
This figure shows the co-authorship network connecting the top 25 collaborators of L. K. Balyan. A scholar is included among the top collaborators of L. K. Balyan 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 L. K. Balyan. L. K. Balyan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 4 | |
| 6 | 4 | |
| 7 | 12 | |
| 8 | 5 | |
| 9 | 5 | |
| 10 | 4 | |
| 11 | 16 | |
| 12 | 2 | |
| 13 | 14 | |
| 14 | An improved pseudospectral approximation of generalized Burger-Huxley and Fitzhugh-Nagumo equations | 3 |
| 15 | 2 | |
| 16 | 21 | |
| 17 | 64 | |
| 18 | 10 | |
| 19 | 7 | |
| 20 | 6 |
About L. K. Balyan
L. K. Balyan is a scholar working on Modeling and Simulation, Numerical Analysis and Computer Vision and Pattern Recognition, having authored 47 papers that have together received 394 indexed citations. Recurring topics across this work include Image Enhancement Techniques (18 papers), Fractional Differential Equations Solutions (14 papers) and Advanced Image Processing Techniques (12 papers). The work is most often cited by research in Modeling and Simulation (69 citations), Media Technology (126 citations) and Computer Vision and Pattern Recognition (255 citations). L. K. Balyan has collaborated with scholars based in India, South Korea and United States. Frequent co-authors include Anil Kumar, Himanshu Singh, Gagandeep Singh, Heung-No Lee, Girish Kumar Singh, Mukesh Kumar, Anurag Singh, Ravibabu Mulaveesala, V. S. Ghali and R.K.S. Rathore. Their work appears in journals such as IEEE Access, Applied Mathematics and Computation and IEEE Transactions on Systems Man and Cybernetics Systems.
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.