Arun Krishna
Impact in
- Statistics and Probability top 5%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Advanced Statistical Methods and Models
Papers in
- Oncology 4
-
- Multiple Myeloma Research and Treatments 2
- Co-authors
- Sujit K. Ghosh (2 shared papers)Howard D. Bondell (2 shared papers)Jingshu Wang (1 shared paper)Hans Gelderblom (1 shared paper)Michael Leahy (1 shared paper)Xavier García del Muro (1 shared paper)Stefano Ferrari (1 shared paper)Pijush Samui (1 shared paper)
- Journals
- Sarcoma (1 paper)Journal of Statistical Planning and Inference (1 paper)Journal of Managed Care & Specialty Pharmacy (1 paper)Blood (1 paper)Biometrics (1 paper)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Arun Krishna
16 papers receiving 314 citations
Peers
Comparison fields: 5 of 88
- Statistics and Probability 123
- Family Practice 5
- Artificial Intelligence 60
- Pulmonary and Respiratory Medicine 43
- Management Science and Operations Research 18
Countries citing papers authored by Arun Krishna
This map shows the geographic impact of Arun Krishna'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 Arun Krishna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arun Krishna more than expected).
Fields of papers citing papers by Arun Krishna
This network shows the impact of papers produced by Arun Krishna. 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 Arun Krishna. The network helps show where Arun Krishna may publish in the future.
Co-authors
The 25 scholars most cited alongside Arun Krishna, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 164 | |
| 2 | 2012 | 52 | |
| 3 | 2015 | 22 | |
| 4 | Prediction of Rainfall Using Support Vector Machine and Relevance Vector Machine | 2011 | 20 |
| 5 | 2008 | 15 | |
| 6 | 2017 | 11 | |
| 7 | 2017 | 10 | |
| 8 | 2011 | 9 | |
| 9 | 2016 | 5 | |
| 10 | 2015 | 5 | |
| 11 | 2016 | 5 | |
| 12 | DNA fingerprinting for identification and protection of elite sugarcane (Saccharum spp.) varieties | 2010 | 2 |
| 13 | 2014 | 1 | |
| 14 | 2019 | 1 | |
| 15 | 2014 | 1 | |
| 16 | Shrinkage-Based Variable Selection Methods for Linear Regression and Mixed-Effects Models | 2008 | 1 |
| 17 | 2026 | 0 |
About Arun Krishna
Arun Krishna is a scholar working on Oncology, Hematology, Electrical and Electronic Engineering, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 17 papers that have together received 324 indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (2 papers), Protein Degradation and Inhibitors (2 papers), Statistical Methods and Bayesian Inference (2 papers), Statistical Methods and Inference (2 papers), Multiple Myeloma Research and Treatments (2 papers), Relativity and Gravitational Theory (1 paper), Advanced Image Fusion Techniques (1 paper) and Wireless Communication Security Techniques (1 paper). The work is most often cited by research in Statistics and Probability (123 citations), Family Practice (5 citations), Artificial Intelligence (60 citations), Pulmonary and Respiratory Medicine (43 citations) and Management Science and Operations Research (18 citations). Arun Krishna has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Sujit K. Ghosh, Howard D. Bondell, Jingshu Wang, Hans Gelderblom, Michael Leahy, Xavier García del Muro, Stefano Ferrari, Pijush Samui, Arthur P. Staddon and Peter Reichardt. Their work appears in journals such as Sarcoma, Journal of Statistical Planning and Inference, Journal of Managed Care & Specialty Pharmacy, Blood and Biometrics.
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.