O. G. Kakde
- Neurology top 2%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Biomedical Engineering
- Co-authors
- Ashish TiwariGopal S. TandelM. M. RaghuwanshiJasjit S. SuriRajiv GandhiB. Kiran MadhusudhanHarman S. SuriMainak Biswas
- Topics
- Metaheuristic Optimization Algorithms Research (8 papers)Advanced Multi-Objective Optimization Algorithms (7 papers)Evolutionary Algorithms and Applications (7 papers)
In The Last Decade
O. G. Kakde
30 papers receiving 618 citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Neurology 309
- Computer Vision and Pattern Recognition 274
- Artificial Intelligence 209
- Radiology, Nuclear Medicine and Imaging 158
- Biomedical Engineering 60
Countries citing papers authored by O. G. Kakde
This map shows the geographic impact of O. G. Kakde'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 O. G. Kakde with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites O. G. Kakde more than expected).
Fields of papers citing papers by O. G. Kakde
This network shows the impact of papers produced by O. G. Kakde. 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 O. G. Kakde. The network helps show where O. G. Kakde may publish in the future.
Co-authorship network of co-authors of O. G. Kakde
This figure shows the co-authorship network connecting the top 25 collaborators of O. G. Kakde. A scholar is included among the top collaborators of O. G. Kakde 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 O. G. Kakde. O. G. Kakde 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 | 0 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 3 | |
| 6 | 48 | |
| 7 | 3 | |
| 8 | 75 | |
| 9 | 1 | |
| 10 | 7 | |
| 11 | 0 | |
| 12 | 12 | |
| 13 | 7 | |
| 14 | 5 | |
| 15 | 2 | |
| 16 | 14 | |
| 17 | 1 | |
| 18 | 4 | |
| 19 | Multi-parent Recombination operator with Polynomial or Lognormal Distribution for Real Coded Genetic Algorithm. | 7 |
| 20 | Algorithms for Compiler Design | 5 |
About O. G. Kakde
O. G. Kakde is a scholar working on Artificial Intelligence, Neurology and Computer Vision and Pattern Recognition, having authored 33 papers that have together received 661 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (8 papers), Advanced Multi-Objective Optimization Algorithms (7 papers) and Evolutionary Algorithms and Applications (7 papers). The work is most often cited by research in Neurology (309 citations), Computer Vision and Pattern Recognition (274 citations) and Radiology, Nuclear Medicine and Imaging (158 citations). O. G. Kakde has collaborated with scholars based in India, Italy and Slovenia. Frequent co-authors include Ashish Tiwari, Gopal S. Tandel, M. M. Raghuwanshi, Jasjit S. Suri, Rajiv Gandhi, B. Kiran Madhusudhan, Harman S. Suri, Mainak Biswas, Narendra N. Khanna and Luca Saba. Their work appears in journals such as Cancers, Applied Sciences and Computers in Biology and Medicine.
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.