Mudit Agarwal
- Modeling and Simulation top 5%
- Infectious Diseases
- Surgery
- Economics and Econometrics
- Pediatrics, Perinatology and Child Health
- Co-authors
- Michael V. JohnstonCarl E. StafstromPramod Kumar PisharadySuprakash GuptaUmesh Kumar SinghS MahajanSomesh GuptaDeepika C Khakha
- Topics
- Bone Tumor Diagnosis and Treatments (4 papers)COVID-19 Clinical Research Studies (3 papers)Sarcoma Diagnosis and Treatment (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsFrontiers in Immunology
- Partner nations
- IndiaUnited StatesCanada
In The Last Decade
Mudit Agarwal
24 papers receiving 282 citations
Peers
Comparison fields: 5 of 95
- Modeling and Simulation 48
- Infectious Diseases 43
- Surgery 42
- Economics and Econometrics 32
- Pediatrics, Perinatology and Child Health 30
Countries citing papers authored by Mudit Agarwal
This map shows the geographic impact of Mudit Agarwal'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 Mudit Agarwal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mudit Agarwal more than expected).
Fields of papers citing papers by Mudit Agarwal
This network shows the impact of papers produced by Mudit Agarwal. 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 Mudit Agarwal. The network helps show where Mudit Agarwal may publish in the future.
Co-authorship network of co-authors of Mudit Agarwal
This figure shows the co-authorship network connecting the top 25 collaborators of Mudit Agarwal. A scholar is included among the top collaborators of Mudit Agarwal 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 Mudit Agarwal. Mudit Agarwal 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 | 1 | |
| 3 | 20 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 7 | |
| 7 | 53 | |
| 8 | 1 | |
| 9 | 10 | |
| 10 | 9 | |
| 11 | 17 | |
| 12 | 1 | |
| 13 | 43 | |
| 14 | 13 | |
| 15 | 0 | |
| 16 | 0 | |
| 17 | 39 | |
| 18 | 0 | |
| 19 | 5 | |
| 20 | 1 |
About Mudit Agarwal
Mudit Agarwal is a scholar working on Otorhinolaryngology, Medical Laboratory Technology and Modeling and Simulation, having authored 29 papers that have together received 297 indexed citations. Recurring topics across this work include Bone Tumor Diagnosis and Treatments (4 papers), COVID-19 Clinical Research Studies (3 papers) and Sarcoma Diagnosis and Treatment (3 papers). The work is most often cited by research in Modeling and Simulation (48 citations), Medical Laboratory Technology (10 citations) and Radiological and Ultrasound Technology (30 citations). Mudit Agarwal has collaborated with scholars based in India, United States and Canada. Frequent co-authors include Michael V. Johnston, Carl E. Stafstrom, Pramod Kumar Pisharady, Suprakash Gupta, Umesh Kumar Singh, S Mahajan, Somesh Gupta, Deepika C Khakha, Sushma Bhatnagar and Upendra Baitha. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Frontiers in Immunology.
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.