Tanujit Chakraborty
- Modeling and Simulation top 1%
- Artificial Intelligence top 10%
- Economics and Econometrics top 10%
- Radiology, Nuclear Medicine and Imaging
- Management Science and Operations Research top 10%
- Co-authors
- Indrajit GhoshAshis Kumar ChakrabortyAbdenour HadidD. BusbyNan LiuMunmun BiswasSk Shahid NadimUttam Kumar
- Topics
- Imbalanced Data Classification Techniques (5 papers)COVID-19 epidemiological studies (5 papers)Energy Load and Power Forecasting (4 papers)
- Partner nations
- IndiaUnited Arab EmiratesFrance
In The Last Decade
Tanujit Chakraborty
28 papers receiving 575 citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Modeling and Simulation 216
- Artificial Intelligence 170
- Economics and Econometrics 126
- Radiology, Nuclear Medicine and Imaging 102
- Management Science and Operations Research 75
Countries citing papers authored by Tanujit Chakraborty
This map shows the geographic impact of Tanujit Chakraborty'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 Tanujit Chakraborty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tanujit Chakraborty more than expected).
Fields of papers citing papers by Tanujit Chakraborty
This network shows the impact of papers produced by Tanujit Chakraborty. 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 Tanujit Chakraborty. The network helps show where Tanujit Chakraborty may publish in the future.
Co-authorship network of co-authors of Tanujit Chakraborty
This figure shows the co-authorship network connecting the top 25 collaborators of Tanujit Chakraborty. A scholar is included among the top collaborators of Tanujit Chakraborty 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 Tanujit Chakraborty. Tanujit Chakraborty 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 | 1 | |
| 3 | 6 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 7 | |
| 7 | 26 | |
| 8 | 3 | |
| 9 | 0 | |
| 10 | 22 | |
| 11 | 0 | |
| 12 | 13 | |
| 13 | 3 | |
| 14 | 5 | |
| 15 | 33 | |
| 16 | 34 | |
| 17 | An analysis of the maximum likelihood estimates for the Lomax distribution | 1 |
| 18 | 3 | |
| 19 | 9 | |
| 20 | 6 |
About Tanujit Chakraborty
Tanujit Chakraborty is a scholar working on Modeling and Simulation, Statistics and Probability and Management Science and Operations Research, having authored 35 papers that have together received 606 indexed citations. Recurring topics across this work include Imbalanced Data Classification Techniques (5 papers), COVID-19 epidemiological studies (5 papers) and Energy Load and Power Forecasting (4 papers). The work is most often cited by research in Modeling and Simulation (216 citations), Health Informatics (11 citations) and Management Science and Operations Research (75 citations). Tanujit Chakraborty has collaborated with scholars based in India, United Arab Emirates and France. Frequent co-authors include Indrajit Ghosh, Ashis Kumar Chakraborty, Abdenour Hadid, D. Busby, Nan Liu, Munmun Biswas, Sk Shahid Nadim, Uttam Kumar, C.A. Murthy and Dibakar Ghosh. Their work appears in journals such as Scientific Reports, IEEE Access and Pattern Recognition.
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.