Giri Narasimhan

6.5k citations
142 papers · 3.7k · 1 hit paper · h-index 31

Impact in

Papers in

Giri Narasimhan

136 papers receiving 3.6k citations

Giri Narasimhan's Hit Papers

So you think you can PLS-DA? 2020 · 279 citations
2790+2+4Years since publication50100150200250

Peers

Giri Narasimhan
Comparison fields: 5 of 181
  • Computer Graphics and Computer-Aided Design 530
  • Molecular Medicine 359
  • Endocrinology 183
  • Periodontics 146
  • Otorhinolaryngology 132
Replace Paul J. Scott with:
Paul J. Scott United Kingdom
Tak‐Wah Lam Hong Kong
Eran Halperin United States
Rick Stevens United States
Chuan Yi Tang Taiwan
Francis Y. L. Chin Hong Kong
Philip W. Smith United States
Qunfeng Dong United States
Ming‐Tat Ko Taiwan
Andreas Wieser Germany
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Citations per field
00.5×9.2×
Paul J. Scott · 1×
Citations per year

Countries citing papers authored by Giri Narasimhan

Since Specialization
Citations

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

Fields of papers citing papers by Giri Narasimhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Giri Narasimhan, 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 Giri Narasimhan Line = papers co-authored together Giri Narasimhan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 142 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008378
2 2016306
3
So you think you can PLS-DA?
Hit paper breakdown →
2020279
4 2007190
5 2015176
6 2001169
7 2004132
8 2012111
9 200587
10 202167
11 199266
12 201958
13 202258
14 200257
15 200256
16 201954
17 201353
18 199851
19 201546
20 201445

About Giri Narasimhan

Giri Narasimhan is a scholar working on Molecular Biology, Computer Graphics and Computer-Aided Design, Computational Theory and Mathematics, Signal Processing and Electrical and Electronic Engineering, having authored 142 papers that have together received 3.7k indexed citations. Recurring topics across this work include Computational Geometry and Mesh Generation (24 papers), Genomics and Phylogenetic Studies (21 papers), Gut microbiota and health (15 papers), Data Management and Algorithms (13 papers), Advanced Graph Theory Research (11 papers), Gene expression and cancer classification (10 papers), Bioinformatics and Genomic Networks (10 papers) and Bacterial biofilms and quorum sensing (7 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (530 citations), Molecular Medicine (359 citations), Endocrinology (183 citations), Periodontics (146 citations) and Otorhinolaryngology (132 citations). Giri Narasimhan has collaborated with scholars based in United States, Canada and Sweden. Frequent co-authors include Kalai Mathee, Michiel Smid, Gautam Das, Daniel Ruiz-Perez, Trevor Cickovski, Purnima Madhivanan, Haibin Guan, Vanessa Aguiar‐Pulido, Christos Levcopoulos and Wenrui Huang. Their work appears in journals such as Computational Geometry, Bioinformatics, Journal of Medical Microbiology, BMC Bioinformatics and PLoS ONE.

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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