Robert Ghrist

77 papers receiving 2.5k citations

Robert Ghrist's Hit Papers

Barcodes: The persistent topology of data 2007 · 629 citations
6290+6+12Years since publication200400600

Peers

Robert Ghrist
Comparison fields: 5 of 117
  • Computational Theory and Mathematics 1.3k
  • Mathematical Physics 591
  • Biophysics 223
  • Geometry and Topology 322
  • Computer Graphics and Computer-Aided Design 95
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Facundo Mémoli United States
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Citations per year

Countries citing papers authored by Robert Ghrist

Since Specialization
Citations

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

Fields of papers citing papers by Robert Ghrist

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Barcodes: The persistent topology of data
Hit paper breakdown →
2007629
2 2016249
3 2007219
4 2005129
5 2006114
6
Elementary Applied Topology
2014100
7 200690
8 199778
9 201371
10 201563
11 200448
12 200048
13 200547
14 201237
15 201136
16 200935
17 200434
18 199734
19 200931
20 200531

About Robert Ghrist

Robert Ghrist is a scholar working on Mathematical Physics, Computational Theory and Mathematics, Geometry and Topology, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 79 papers that have together received 2.6k indexed citations. Recurring topics across this work include Topological and Geometric Data Analysis (24 papers), Geometric and Algebraic Topology (19 papers), Homotopy and Cohomology in Algebraic Topology (17 papers), Robotic Path Planning Algorithms (12 papers), Mathematical Dynamics and Fractals (12 papers), Modular Robots and Swarm Intelligence (8 papers), Distributed Control Multi-Agent Systems (7 papers) and Computational Geometry and Mesh Generation (7 papers). The work is most often cited by research in Computational Theory and Mathematics (1.3k citations), Mathematical Physics (591 citations), Biophysics (223 citations), Geometry and Topology (322 citations) and Computer Graphics and Computer-Aided Design (95 citations). Robert Ghrist has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Vin de Silva, Chad Giusti, Danielle S. Bassett, Abubakr Muhammad, Subhrajit Bhattacharya, Vijay Kumar, David B. Lipsky, Eric Klavins, John B. Etnyre and Yuliy Baryshnikov. Their work appears in journals such as The International Journal of Robotics Research, Transactions of the American Mathematical Society, Nonlinearity, Inverse Problems and IEEE Transactions on Robotics.

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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