Amit Aggarwal
- Computer Networks and Communications top 2%
- Oncology top 10%
- Pulmonary and Respiratory Medicine top 10%
- Molecular Biology
- Cancer Research top 10%
- Co-authors
- Stefan SavageT. AndersonMichael RabinovichAmin VahdatThomas E. AndersonJohn ZahorjanJohn SnellNeal Cardwell
- Topics
- Caching and Content Delivery (6 papers)Cancer Genomics and Diagnostics (5 papers)Distributed systems and fault tolerance (4 papers)
- Partner nations
- United StatesSingaporeUnited Kingdom
In The Last Decade
Amit Aggarwal
27 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 96
- Computer Networks and Communications 631
- Oncology 278
- Pulmonary and Respiratory Medicine 239
- Molecular Biology 209
- Cancer Research 195
Countries citing papers authored by Amit Aggarwal
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 11 | |
| 3 | 1 | |
| 4 | 23 | |
| 5 | 10 | |
| 6 | 13 | |
| 7 | 154 | |
| 8 | 39 | |
| 9 | 19 | |
| 10 | 29 | |
| 11 | 9 | |
| 12 | 35 | |
| 13 | 21 | |
| 14 | Computing on the Edge: A Platform for Replicating Internet Applications | 28 |
| 15 | 48 | |
| 16 | A combined comparative genomic hybridization and expression microarray analysis of gastric cancer reveals novel molecular subtypes. | 102 |
| 17 | 14 | |
| 18 | Active names: flexible location and transport of wide-area resources | 65 |
| 19 | Detour: a Case for Informed Internet Routing and Transport | 30 |
| 20 | 57 |
About Amit Aggarwal
Amit Aggarwal is a scholar working on Cancer Research, Oncology and Computer Networks and Communications, having authored 27 papers that have together received 1.2k indexed citations. Recurring topics across this work include Caching and Content Delivery (6 papers), Cancer Genomics and Diagnostics (5 papers) and Distributed systems and fault tolerance (4 papers). The work is most often cited by research in Computer Networks and Communications (631 citations), Cancer Research (195 citations) and Oncology (278 citations). Amit Aggarwal has collaborated with scholars based in United States, Singapore and United Kingdom. Frequent co-authors include Stefan Savage, T. Anderson, Michael Rabinovich, Amin Vahdat, Thomas E. Anderson, John Zahorjan, John Snell, Neal Cardwell, Michael Dahlin and D. Becker. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research 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.