D. S. Hooda
- Management Science and Operations Research top 2%
- Statistics and Probability top 2%
- Plant Science
- Control and Systems Engineering top 10%
- Artificial Intelligence top 10%
- Co-authors
- Divya JainSourabh ShrivastavaPratibha RaniArunodaya Raj MishraSatish Kumar SinghRakesh Kumar BajajDilip Kumar SharmaMelfi Alrasheedi
- Topics
- Multi-Criteria Decision Making (21 papers)Fuzzy Systems and Optimization (7 papers)Fuzzy Logic and Control Systems (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaInformation SciencesMultimedia Tools and Applications
In The Last Decade
D. S. Hooda
39 papers receiving 440 citations
Peers
Comparison fields: 5 of 59
- Management Science and Operations Research 305
- Statistics and Probability 151
- Plant Science 119
- Control and Systems Engineering 114
- Artificial Intelligence 98
Countries citing papers authored by D. S. Hooda
This map shows the geographic impact of D. S. Hooda'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 D. S. Hooda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. S. Hooda more than expected).
Fields of papers citing papers by D. S. Hooda
This network shows the impact of papers produced by D. S. Hooda. 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 D. S. Hooda. The network helps show where D. S. Hooda may publish in the future.
Co-authorship network of co-authors of D. S. Hooda
This figure shows the co-authorship network connecting the top 25 collaborators of D. S. Hooda. A scholar is included among the top collaborators of D. S. Hooda 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 D. S. Hooda. D. S. Hooda 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 | 4 | |
| 4 | On Characterization of Joint and Conditional Exponential Survival Entropies | 3 |
| 5 | 37 | |
| 6 | 5 | |
| 7 | 44 | |
| 8 | 39 | |
| 9 | 1 | |
| 10 | Automatic Brown Spot and Frog Eye Detection from the Image Captured in the Field | 26 |
| 11 | 45 | |
| 12 | 4 | |
| 13 | 2 | |
| 14 | GENERALIZED 'USEFUL' INFORMATION GENERATING FUNCTIONS | 5 |
| 15 | Generalized R-norm Information Measures | 11 |
| 16 | On generalized measures of fuzzy entropy | 46 |
| 17 | 1 | |
| 18 | 6 | |
| 19 | 1 | |
| 20 | 1 |
About D. S. Hooda
D. S. Hooda is a scholar working on Management Science and Operations Research, Statistics and Probability and Computational Theory and Mathematics, having authored 43 papers that have together received 485 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (21 papers), Fuzzy Systems and Optimization (7 papers) and Fuzzy Logic and Control Systems (6 papers). The work is most often cited by research in Management Science and Operations Research (305 citations), Statistics and Probability (151 citations) and Analytical Chemistry (60 citations). D. S. Hooda has collaborated with scholars based in India, Denmark and Canada. Frequent co-authors include Divya Jain, Sourabh Shrivastava, Pratibha Rani, Arunodaya Raj Mishra, Satish Kumar Singh, Rakesh Kumar Bajaj, Dilip Kumar Sharma, Melfi Alrasheedi, Abbas Mardani and Kannan Govindan. Their work appears in journals such as SHILAP Revista de lepidopterología, Information Sciences and Multimedia Tools and Applications.
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.