Amit Aggarwal

576 citations
18 papers · 364 indexed · h-index 9
Topics
Acute Ischemic Stroke Management (4 papers)Infectious Diseases and Tuberculosis (3 papers)Radiomics and Machine Learning in Medical Imaging (2 papers)
Partner nations
United StatesIndiaFrance

In The Last Decade

Amit Aggarwal

17 papers receiving 356 citations

Peers

Amit Aggarwal
Comparison fields: 5 of 73
  • Neurology 177
  • Infectious Diseases 119
  • Epidemiology 96
  • Radiology, Nuclear Medicine and Imaging 55
  • Pulmonary and Respiratory Medicine 54
Replace Katarzyna Sklinda with:
Katarzyna Sklinda Poland
Yves‐Sebastien Cordoliani France
Vinh Nguyen United States
Parthiban Nadarajan Ireland
Natalia Shor France
W. K�ker Germany
Andrea Rosi Italy
Alexis Guédon France
Vincent Dodson United States
Walter L. Olsen United States
Amit Aggarwal relative to Katarzyna Sklinda Poland Katarzyna Sklinda's profile →
Citations per field
00.5×1.5×2.0×
Katarzyna Sklinda · 1×
Citations per year

Countries citing papers authored by Amit Aggarwal

Since Specialization
Citations

This map shows the geographic impact of Amit Aggarwal'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 Amit Aggarwal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amit Aggarwal more than expected).

Fields of papers citing papers by Amit Aggarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amit Aggarwal. 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 Amit Aggarwal. The network helps show where Amit Aggarwal may publish in the future.

Co-authorship network of co-authors of Amit Aggarwal

This figure shows the co-authorship network connecting the top 25 collaborators of Amit Aggarwal. A scholar is included among the top collaborators of Amit Aggarwal 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 Amit Aggarwal. Amit Aggarwal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
#WorkIndexed citations
1 0
2 13
3 1
4 8
5 29
6 129
7 5
8 1
9 30
10 52
11 6
12 17
13 16
14 8
15 32
16 1
17 10
18 6

About Amit Aggarwal

Amit Aggarwal is a scholar working on Internal Medicine, Neurology and Orthopedics and Sports Medicine, having authored 18 papers that have together received 364 indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (4 papers), Infectious Diseases and Tuberculosis (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Neurology (177 citations), Infectious Diseases (119 citations) and Health Informatics (6 citations). Amit Aggarwal has collaborated with scholars based in United States, India and France. Frequent co-authors include Amish Doshi, Javin Schefflein, Shingo Kihira, Brian Rigney, Bradley N. Delman, Puneet Belani, J Mocco, Keon Mahmoudi, Shahram Majidi and Daniel R. Lefton. Their work appears in journals such as Stroke, American Journal of Neuroradiology and Journal of Pediatric Surgery.

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.

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