Abhijit Deshmukh
- Industrial and Manufacturing Engineering top 2%
- Parasitology top 5%
- Management Information Systems top 5%
- Strategy and Management top 10%
- Management Science and Operations Research top 5%
- Co-authors
- Zhaotong LianPallabi MitraChristian WernzSatyandra K. GuptaSuman Kumar DharAntonio CardoneRam D. SriramMohsen Moghaddam
- Topics
- Toxoplasma gondii Research Studies (17 papers)Herpesvirus Infections and Treatments (8 papers)Manufacturing Process and Optimization (7 papers)
- Partner nations
- United StatesIndiaMacao
In The Last Decade
Abhijit Deshmukh
58 papers receiving 791 citations
Peers
Comparison fields: 5 of 104
- Industrial and Manufacturing Engineering 215
- Parasitology 139
- Management Information Systems 129
- Strategy and Management 108
- Management Science and Operations Research 108
Countries citing papers authored by Abhijit Deshmukh
This map shows the geographic impact of Abhijit Deshmukh'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 Abhijit Deshmukh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abhijit Deshmukh more than expected).
Fields of papers citing papers by Abhijit Deshmukh
This network shows the impact of papers produced by Abhijit Deshmukh. 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 Abhijit Deshmukh. The network helps show where Abhijit Deshmukh may publish in the future.
Co-authorship network of co-authors of Abhijit Deshmukh
This figure shows the co-authorship network connecting the top 25 collaborators of Abhijit Deshmukh. A scholar is included among the top collaborators of Abhijit Deshmukh 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 Abhijit Deshmukh. Abhijit Deshmukh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 3 | |
| 9 | 10 | |
| 10 | 5 | |
| 11 | 9 | |
| 12 | 15 | |
| 13 | 26 | |
| 14 | 10 | |
| 15 | 12 | |
| 16 | 11 | |
| 17 | 8 | |
| 18 | 10 | |
| 19 | Intelligent, Self-Diagnostic Thermal Protection System for Future Spacecraft | 2 |
| 20 | 8 |
About Abhijit Deshmukh
Abhijit Deshmukh is a scholar working on Parasitology, Industrial and Manufacturing Engineering and Management Information Systems, having authored 62 papers that have together received 836 indexed citations. Recurring topics across this work include Toxoplasma gondii Research Studies (17 papers), Herpesvirus Infections and Treatments (8 papers) and Manufacturing Process and Optimization (7 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (215 citations), Parasitology (139 citations) and Management Information Systems (129 citations). Abhijit Deshmukh has collaborated with scholars based in United States, India and Macao. Frequent co-authors include Zhaotong Lian, Pallabi Mitra, Christian Wernz, Satyandra K. Gupta, Suman Kumar Dhar, Antonio Cardone, Ram D. Sriram, Mohsen Moghaddam, Young‐Jun Son and Ashish Gupta. Their work appears in journals such as Nucleic Acids Research, Nature Communications and Scientific Reports.
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.