Napsu Karmitsa
- Computational Theory and Mathematics top 2%
- Numerical Analysis top 2%
- Computational Mechanics top 5%
- Artificial Intelligence top 10%
- Control and Systems Engineering top 10%
- Co-authors
- Adil BagirovMarko M. MäkeläSona TaheriManlio GaudiosoNargiz SultanovaSeppo PulkkinenMilija ŽupanskiI. M. Navon
- Topics
- Advanced Optimization Algorithms Research (18 papers)Optimization and Variational Analysis (14 papers)Sparse and Compressive Sensing Techniques (11 papers)
In The Last Decade
Napsu Karmitsa
32 papers receiving 613 citations
Peers
Comparison fields: 5 of 65
- Computational Theory and Mathematics 323
- Numerical Analysis 297
- Computational Mechanics 197
- Artificial Intelligence 146
- Control and Systems Engineering 85
Countries citing papers authored by Napsu Karmitsa
This map shows the geographic impact of Napsu Karmitsa'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 Napsu Karmitsa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Napsu Karmitsa more than expected).
Fields of papers citing papers by Napsu Karmitsa
This network shows the impact of papers produced by Napsu Karmitsa. 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 Napsu Karmitsa. The network helps show where Napsu Karmitsa may publish in the future.
Co-authorship network of co-authors of Napsu Karmitsa
This figure shows the co-authorship network connecting the top 25 collaborators of Napsu Karmitsa. A scholar is included among the top collaborators of Napsu Karmitsa 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 Napsu Karmitsa. Napsu Karmitsa 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 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 16 | |
| 8 | 28 | |
| 9 | 8 | |
| 10 | 31 | |
| 11 | 24 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | Introduction to Nonsmooth Optimization: Theory, Practice and Software | 84 |
| 16 | 6 | |
| 17 | 17 | |
| 18 | 7 | |
| 19 | 30 | |
| 20 | 11 |
About Napsu Karmitsa
Napsu Karmitsa is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Computational Mechanics, having authored 37 papers that have together received 635 indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (18 papers), Optimization and Variational Analysis (14 papers) and Sparse and Compressive Sensing Techniques (11 papers). The work is most often cited by research in Numerical Analysis (297 citations), Computational Theory and Mathematics (323 citations) and Computational Mechanics (197 citations). Napsu Karmitsa has collaborated with scholars based in Finland, Australia and Italy. Frequent co-authors include Adil Bagirov, Marko M. Mäkelä, Sona Taheri, Manlio Gaudioso, Nargiz Sultanova, Seppo Pulkkinen, Milija Županski, I. M. Navon, José Herskovits and M. Montaz Ali. Their work appears in journals such as European Journal of Operational Research, Pattern Recognition and Quarterly Journal of the Royal Meteorological Society.
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.