Peter Li

143 papers receiving 16.3k citations

Peter Li's Hit Papers

Crepe: A Convolutional Representation for Pitch Estimation 2018 · 213 citations
2130+13+26Years since publication1k2k3k4k5k

Peers

Peter Li
Comparison fields: 5 of 230
  • Applied Mathematics 3.2k
  • Information Systems and Management 1.6k
  • Statistics and Probability 902
  • Geometry and Topology 597
  • Mathematical Physics 616
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Citations per year

Countries citing papers authored by Peter Li

Since Specialization
Citations

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

Fields of papers citing papers by Peter Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 154 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Stan : A Probabilistic Programming Language
Hit paper breakdown →
20175230
2
Improvements to the APBS biomolecular solvation software suite
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20171805
3
Taverna: a tool for the composition and enactment of bioinformatics workflows
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20041218
4
On the parabolic kernel of the Schrödinger operator
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19861023
5
Taverna: a tool for building and running workflows of services
Hit paper breakdown →
2006748
6 2005521
7 2008474
8 1982362
9 2002279
10 2003255
11 2007221
12 2010220
13
Crepe: A Convolutional Representation for Pitch Estimation
Hit paper breakdown →
2018213
14 2002185
15 2002174
16 1981171
17 1984168
18 1980148
19 1992141
20 1991120

About Peter Li

Peter Li is a scholar working on Applied Mathematics, Information Systems and Management, Geometry and Topology, Mathematical Physics and Information Systems, having authored 154 papers that have together received 17.2k indexed citations. Recurring topics across this work include Geometric Analysis and Curvature Flows (53 papers), Scientific Computing and Data Management (15 papers), Spectral Theory in Mathematical Physics (8 papers), Geometry and complex manifolds (8 papers), Chinese history and philosophy (7 papers), Bioinformatics and Genomic Networks (6 papers), Research Data Management Practices (6 papers) and Service-Oriented Architecture and Web Services (5 papers). The work is most often cited by research in Applied Mathematics (3.2k citations), Information Systems and Management (1.6k citations), Statistics and Probability (902 citations), Geometry and Topology (597 citations) and Mathematical Physics (616 citations). Peter Li has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Shing–Tung Yau, Ben Goodrich, Michael Betancourt, Allen Beye Riddell, Jiqiang Guo, Bob Carpenter, Marcus A. Brubaker, Andrew Gelman, Matthew D. Hoffman and Daniel C. Lee. Their work appears in journals such as Journal of Differential Geometry, Mathematical Research Letters, Inventiones mathematicae, Sensors and Actuators B Chemical and American Journal of Mathematics.

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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