Abhinav Kumar
Impact in
- Periodontics top 2%
- Oral Health Pathology and Treatment
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
-
- Urban Transport and Accessibility 3
-
- Antifungal resistance and susceptibility 1
- Co-authors
- Anjana Bagewadi (1 shared paper)Vaishali Keluskar (1 shared paper)Mohit Pal Singh (1 shared paper)Jessica M. Keralis (3 shared papers)Tolga Taşdizen (3 shared papers)Pallavi Dwivedi (3 shared papers)Amit Aggarwal (1 shared paper)Quynh C. Nguyen (3 shared papers)
- Journals
- Big Data and Cognitive Computing (1 paper)International Journal of Environmental Research and Public Health (1 paper)Journal of Thoracic and Cardiovascular Surgery (1 paper)Trials (1 paper)Investigative Ophthalmology & Visual Science (1 paper)
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Abhinav Kumar
11 papers receiving 316 citations
Peers
Comparison fields: 5 of 75
- Periodontics 118
- Modeling and Simulation 35
- Oral Surgery 44
- Transportation 27
- Pharmacy 16
Countries citing papers authored by Abhinav Kumar
This map shows the geographic impact of Abhinav Kumar'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 Abhinav Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abhinav Kumar more than expected).
Fields of papers citing papers by Abhinav Kumar
This network shows the impact of papers produced by Abhinav Kumar. 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 Abhinav Kumar. The network helps show where Abhinav Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Abhinav Kumar, 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 | 2006 | 141 | |
| 2 | 2020 | 75 | |
| 3 | 2020 | 39 | |
| 4 | 2020 | 26 | |
| 5 | 2015 | 19 | |
| 6 | 2022 | 14 | |
| 7 | 2020 | 8 | |
| 8 | Pleural empyema due to group B Salmonella in a child with diarrhea. | 2001 | 6 |
| 9 | 2020 | 4 | |
| 10 | 2019 | 3 | |
| 11 | 2022 | 1 | |
| 12 | 2021 | 0 | |
| 13 | 2024 | 0 | |
| 14 | 2021 | 0 |
About Abhinav Kumar
Abhinav Kumar is a scholar working on Transportation, Infectious Diseases, Pulmonary and Respiratory Medicine, Health, Toxicology and Mutagenesis and Periodontics, having authored 14 papers that have together received 336 indexed citations. Recurring topics across this work include Urban Transport and Accessibility (3 papers), Urban Green Space and Health (2 papers), Oral Health Pathology and Treatment (2 papers), Dental Anxiety and Anesthesia Techniques (1 paper), Inflammatory Biomarkers in Disease Prognosis (1 paper), Antifungal resistance and susceptibility (1 paper), Inflammatory mediators and NSAID effects (1 paper) and COVID-19 epidemiological studies (1 paper). The work is most often cited by research in Periodontics (118 citations), Modeling and Simulation (35 citations), Oral Surgery (44 citations), Transportation (27 citations) and Pharmacy (16 citations). Abhinav Kumar has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Anjana Bagewadi, Vaishali Keluskar, Mohit Pal Singh, Jessica M. Keralis, Tolga Taşdizen, Pallavi Dwivedi, Amit Aggarwal, Quynh C. Nguyen, Yuru Huang and Kimberly D. Brunisholz. Their work appears in journals such as Big Data and Cognitive Computing, International Journal of Environmental Research and Public Health, Journal of Thoracic and Cardiovascular Surgery, Trials and Investigative Ophthalmology & Visual Science.
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.