Satish Chandra
- Artificial Intelligence
- Statistics and Probability top 5%
- Sociology and Political Science
- Safety, Risk, Reliability and Quality top 10%
- Statistics, Probability and Uncertainty top 10%
- Co-authors
- Donald B. OwenMahendra Kumar GourisariaHarshvardhan GMTianyang WangDebanjan KonarXin GaoMin XuVirgil L. Anderson
- Topics
- Sentiment Analysis and Opinion Mining (3 papers)Topic Modeling (2 papers)Advanced Text Analysis Techniques (2 papers)
- Cited by
- Statistics and ProbabilityStatistics, Probability and UncertaintyTourism, Leisure and Hospitality Management
- Partner nations
- IndiaUnited StatesChile
In The Last Decade
Satish Chandra
17 papers receiving 230 citations
Peers
Comparison fields: 5 of 93
- Artificial Intelligence 62
- Statistics and Probability 60
- Sociology and Political Science 57
- Safety, Risk, Reliability and Quality 37
- Statistics, Probability and Uncertainty 34
Countries citing papers authored by Satish Chandra
This map shows the geographic impact of Satish Chandra'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 Satish Chandra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Satish Chandra more than expected).
Fields of papers citing papers by Satish Chandra
This network shows the impact of papers produced by Satish Chandra. 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 Satish Chandra. The network helps show where Satish Chandra may publish in the future.
Co-authorship network of co-authors of Satish Chandra
This figure shows the co-authorship network connecting the top 25 collaborators of Satish Chandra. A scholar is included among the top collaborators of Satish Chandra 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 Satish Chandra. Satish Chandra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 25 | |
| 3 | 13 | |
| 4 | Semantic Analysis of Sentiments through Web-Mined Twitter Corpus. | 10 |
| 5 | 14 | |
| 6 | 5 | |
| 7 | 3 | |
| 8 | 2 | |
| 9 | An Approach to Meeting AACSB Assurance of Learning Standards in an IS Core Course | 9 |
| 10 | 5 | |
| 11 | Applications of Multivariate Analysis in International Tourism Research: The Marketing Strategy Perspective of NTOs | 48 |
| 12 | TECHNOLOGICAL DIFFERENCES BETWEEN CRM AND eCRM | 11 |
| 13 | 14 | |
| 14 | 1 | |
| 15 | On the Mixtures of Probability Distributions | 44 |
| 16 | 10 | |
| 17 | 43 | |
| 18 | On Estimating the Reliability of a Component Subject to Several Different Stresses | 1 |
About Satish Chandra
Satish Chandra is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Transportation, having authored 18 papers that have together received 263 indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (3 papers), Topic Modeling (2 papers) and Advanced Text Analysis Techniques (2 papers). The work is most often cited by research in Statistics and Probability (60 citations), Statistics, Probability and Uncertainty (34 citations) and Tourism, Leisure and Hospitality Management (7 citations). Satish Chandra has collaborated with scholars based in India, United States and Chile. Frequent co-authors include Donald B. Owen, Mahendra Kumar Gourisaria, Harshvardhan GM, Tianyang Wang, Debanjan Konar, Xin Gao, Min Xu, Virgil L. Anderson, Robert A. McLean and Manjusha Pandey. Their work appears in journals such as Journal of the American Statistical Association, IEEE Access and Journal of Travel Research.
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.