Anindya Basu

71 papers receiving 2.1k citations

Anindya Basu's Hit Papers

U-Net 1995 · 510 citations
5100+10+20Years since publication100200300400500

Peers

Anindya Basu
Comparison fields: 5 of 126
  • Hardware and Architecture 596
  • Microbiology 334
  • Computer Networks and Communications 1.0k
  • Biomaterials 259
  • Biotechnology 108
Replace Mrinmoy Ghosh with:
Mrinmoy Ghosh South Korea
Licong Zhang China
Hiroshi Kano Japan
Peter Rossmanith Germany
Hiroki Noguchi Japan
Yanlong Yin China
Qian Liu China
Zhenyu Gu China
Lingling Jin China
Ryoichi Katsumata Japan
Anindya Basu relative to Mrinmoy Ghosh South Korea Mrinmoy Ghosh's profile →
Citations per field
00.5×8.8×
Mrinmoy Ghosh · 1×
Citations per year

Countries citing papers authored by Anindya Basu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Anindya Basu Line = papers co-authored together Anindya Basu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1
U-Net
Hit paper breakdown →
1995510
2 2013136
3 2001119
4 2013102
5 200395
6 201389
7
Incorporating Memory Management into User-Level Network Interfaces
199780
8 201474
9 199574
10 201172
11 200266
12 199551
13 201540
14 201340
15 201638
16 202132
17 201831
18 202231
19 200129
20 200628

About Anindya Basu

Anindya Basu is a scholar working on Molecular Biology, Biomaterials, Microbiology, Computer Networks and Communications and Organic Chemistry, having authored 75 papers that have together received 2.3k indexed citations. Recurring topics across this work include Supramolecular Self-Assembly in Materials (17 papers), Antimicrobial Peptides and Activities (16 papers), Polydiacetylene-based materials and applications (9 papers), Interconnection Networks and Systems (8 papers), Parallel Computing and Optimization Techniques (7 papers), Computational Drug Discovery Methods (6 papers), Enzyme Production and Characterization (6 papers) and Biofuel production and bioconversion (6 papers). The work is most often cited by research in Hardware and Architecture (596 citations), Microbiology (334 citations), Computer Networks and Communications (1.0k citations), Biomaterials (259 citations) and Biotechnology (108 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, RSC Advances, Journal of Materials Chemistry B, Biotechnology and Bioengineering 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.

Explore authors with similar magnitude of impact