Ch. Sanjeev Kumar Dash
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition
- Control and Systems Engineering
- Biomedical Engineering
- Co-authors
- Satchidananda DehuriAjit Kumar BeheraAshish GhoshSung‐Bae ChoSung-Bae ChoSarat Chandra NayakGi-Nam WangRajib Mall
- Topics
- Neural Networks and Applications (6 papers)Metaheuristic Optimization Algorithms Research (3 papers)Imbalanced Data Classification Techniques (3 papers)
- Cited by
- Health Information ManagementArtificial IntelligenceComputer Vision and Pattern Recognition
- Journals
- Pattern Recognition LettersEngineering Applications of Artificial IntelligenceInternational Journal of Computational Intelligence Systems
- Partner nations
- South KoreaIndiaUnited States
In The Last Decade
Ch. Sanjeev Kumar Dash
15 papers receiving 249 citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Artificial Intelligence 94
- Electrical and Electronic Engineering 29
- Computer Vision and Pattern Recognition 25
- Control and Systems Engineering 24
- Biomedical Engineering 21
Countries citing papers authored by Ch. Sanjeev Kumar Dash
This map shows the geographic impact of Ch. Sanjeev Kumar Dash'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 Ch. Sanjeev Kumar Dash with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ch. Sanjeev Kumar Dash more than expected).
Fields of papers citing papers by Ch. Sanjeev Kumar Dash
This network shows the impact of papers produced by Ch. Sanjeev Kumar Dash. 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 Ch. Sanjeev Kumar Dash. The network helps show where Ch. Sanjeev Kumar Dash may publish in the future.
Co-authorship network of co-authors of Ch. Sanjeev Kumar Dash
This figure shows the co-authorship network connecting the top 25 collaborators of Ch. Sanjeev Kumar Dash. A scholar is included among the top collaborators of Ch. Sanjeev Kumar Dash 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 Ch. Sanjeev Kumar Dash. Ch. Sanjeev Kumar Dash is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | An outliers detection and elimination framework in classification task of data miningbreakdown → | 114 |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 10 | |
| 6 | 6 | |
| 7 | 5 | |
| 8 | 9 | |
| 9 | 13 | |
| 10 | 70 | |
| 11 | Towards crafting an improved functional link artificial neural network based on differential evolution and feature selection | 3 |
| 12 | 8 | |
| 13 | 4 | |
| 14 | 5 | |
| 15 | 11 |
About Ch. Sanjeev Kumar Dash
Ch. Sanjeev Kumar Dash is a scholar working on Software, Artificial Intelligence and Health Information Management, having authored 15 papers that have together received 264 indexed citations. Recurring topics across this work include Neural Networks and Applications (6 papers), Metaheuristic Optimization Algorithms Research (3 papers) and Imbalanced Data Classification Techniques (3 papers). The work is most often cited by research in Health Information Management (18 citations), Artificial Intelligence (94 citations) and Computer Vision and Pattern Recognition (25 citations). Ch. Sanjeev Kumar Dash has collaborated with scholars based in South Korea, India and United States. Frequent co-authors include Satchidananda Dehuri, Ajit Kumar Behera, Ashish Ghosh, Sung‐Bae Cho, Sung-Bae Cho, Sarat Chandra Nayak, Gi-Nam Wang, Rajib Mall, Mrutyunjaya Panda and Jnyana Ranjan Mohanty. Their work appears in journals such as Pattern Recognition Letters, Engineering Applications of Artificial Intelligence and International Journal of Computational Intelligence 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.