Vishal Bhatnagar
- Artificial Intelligence top 10%
- Information Systems top 5%
- Molecular Biology
- Oncology
- Hematology top 10%
- Co-authors
- Jayanthi RanjanArvind PanwarPaul G. KluetzArushi JainShipra JainBellinda L. King‐KallimanisPraveen AgarwalYudong Zhang
- Topics
- Big Data and Business Intelligence (17 papers)Data Mining Algorithms and Applications (11 papers)Customer churn and segmentation (11 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaBlood
- Partner nations
- IndiaUnited StatesChina
In The Last Decade
Vishal Bhatnagar
119 papers receiving 959 citations
Peers
Comparison fields: 5 of 148
- Artificial Intelligence 177
- Information Systems 165
- Molecular Biology 146
- Oncology 136
- Hematology 134
Countries citing papers authored by Vishal Bhatnagar
This map shows the geographic impact of Vishal Bhatnagar'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 Vishal Bhatnagar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vishal Bhatnagar more than expected).
Fields of papers citing papers by Vishal Bhatnagar
This network shows the impact of papers produced by Vishal Bhatnagar. 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 Vishal Bhatnagar. The network helps show where Vishal Bhatnagar may publish in the future.
Co-authorship network of co-authors of Vishal Bhatnagar
This figure shows the co-authorship network connecting the top 25 collaborators of Vishal Bhatnagar. A scholar is included among the top collaborators of Vishal Bhatnagar 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 Vishal Bhatnagar. Vishal Bhatnagar 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 | 3 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 15 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 6 | |
| 10 | 6 | |
| 11 | 32 | |
| 12 | 3 | |
| 13 | 9 | |
| 14 | 4 | |
| 15 | 1 | |
| 16 | 20 | |
| 17 | 16 | |
| 18 | A fuzzy based matrix methodology for evaluation and ranking of data warehouse conceptual models metrics. | 5 |
| 19 | 4 | |
| 20 | 48 |
About Vishal Bhatnagar
Vishal Bhatnagar is a scholar working on Management Information Systems, Computational Mathematics and Marketing, having authored 125 papers that have together received 1.0k indexed citations. Recurring topics across this work include Big Data and Business Intelligence (17 papers), Data Mining Algorithms and Applications (11 papers) and Customer churn and segmentation (11 papers). The work is most often cited by research in Hematology (134 citations), Management Information Systems (100 citations) and Information Systems and Management (52 citations). Vishal Bhatnagar has collaborated with scholars based in India, United States and China. Frequent co-authors include Jayanthi Ranjan, Arvind Panwar, Paul G. Kluetz, Arushi Jain, Shipra Jain, Bellinda L. King‐Kallimanis, Praveen Agarwal, Yudong Zhang, Saeed Balochian and Richard Pazdur. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.
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.