Anindya Basu
Impact in
- Hardware and Architecture top 1%
- Parallel Computing and Optimization Techniques
- Microbiology top 1%
- Antimicrobial Peptides and Activities
Papers in
- Biomaterials 18
- Supramolecular Self-Assembly in Materials 16
- Co-authors
- Thorsten von Eicken (8 shared papers)Werner Vogels (2 shared papers)Susanna Su Jan Leong (13 shared papers)Jon G. Riecke (2 shared papers)Rathi Saravanan (6 shared papers)Matt Welsh (3 shared papers)Paul Anantharajah Tambyah (4 shared papers)Sharad Ramanathan (2 shared papers)
- Journals
- New Journal of Chemistry (8 papers)Biotechnology and Bioengineering (3 papers)Journal of Materials Chemistry B (3 papers)RSC Advances (3 papers)ACM SIGCOMM Computer Communication Review (2 papers)
- Partner nations
- IndiaUnited StatesSingapore
In The Last Decade
Anindya Basu
70 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Hardware and Architecture 596
- Microbiology 317
- Computer Networks and Communications 1.0k
- Biomaterials 254
- Biotechnology 111
Countries citing papers authored by Anindya Basu
This map shows the geographic impact of Anindya Basu'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 Anindya Basu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anindya Basu more than expected).
Fields of papers citing papers by Anindya Basu
This network shows the impact of papers produced by Anindya Basu. 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 Anindya Basu. The network helps show where Anindya Basu may publish in the future.
Co-authors
The 25 scholars most cited alongside Anindya Basu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | U-Net Hit paper breakdown → | 1995 | 511 |
| 2 | 2013 | 135 | |
| 3 | 2001 | 119 | |
| 4 | 2013 | 98 | |
| 5 | 2003 | 95 | |
| 6 | 2013 | 87 | |
| 7 | Incorporating Memory Management into User-Level Network Interfaces | 1997 | 80 |
| 8 | 1995 | 74 | |
| 9 | 2011 | 72 | |
| 10 | 2014 | 71 | |
| 11 | 2002 | 66 | |
| 12 | 1995 | 51 | |
| 13 | 2015 | 40 | |
| 14 | 2013 | 37 | |
| 15 | 2016 | 37 | |
| 16 | 2018 | 31 | |
| 17 | 2022 | 31 | |
| 18 | 2021 | 31 | |
| 19 | 2001 | 29 | |
| 20 | 2006 | 28 |
About Anindya Basu
Anindya Basu is a scholar working on Molecular Biology, Biomaterials, Computer Networks and Communications, Organic Chemistry and Microbiology, having authored 72 papers that have together received 2.2k indexed citations. Recurring topics across this work include Supramolecular Self-Assembly in Materials (16 papers), Antimicrobial Peptides and Activities (14 papers), Polydiacetylene-based materials and applications (9 papers), Interconnection Networks and Systems (8 papers), Parallel Computing and Optimization Techniques (7 papers), Biofuel production and bioconversion (7 papers), Enzyme Production and Characterization (6 papers) and Computational Drug Discovery Methods (6 papers). The work is most often cited by research in Hardware and Architecture (596 citations), Microbiology (317 citations), Computer Networks and Communications (1.0k citations), Biomaterials (254 citations) and Biotechnology (111 citations). Anindya Basu has collaborated with scholars based in India, United States and Singapore. Frequent co-authors include Thorsten von Eicken, Werner Vogels, Susanna Su Jan Leong, Jon G. Riecke, Rathi Saravanan, Matt Welsh, Paul Anantharajah Tambyah, Sharad Ramanathan, Alvin C. Lin and Sierin Lim. Their work appears in journals such as New Journal of Chemistry, Biotechnology and Bioengineering, Journal of Materials Chemistry B, RSC Advances and ACM SIGCOMM Computer Communication Review.
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.