Juha Heinonen

7.7k citations
73 papers · 3.5k indexed · 4 hit papers · h-index 24
Topics
Analytic and geometric function theory (36 papers)Geometric Analysis and Curvature Flows (24 papers)Nonlinear Partial Differential Equations (19 papers)

In The Last Decade

Juha Heinonen

71 papers receiving 3.1k citations

Hit Papers

Lectures on Analysis on Metric Spaces199820262007201620011998201820152505007501000

Peers

Juha Heinonen
Comparison fields: 5 of 84
  • Applied Mathematics 2.7k
  • Geometry and Topology 1.7k
  • Mathematical Physics 938
  • Computational Theory and Mathematics 718
  • Electrical and Electronic Engineering 217
Replace Leon Simon with:
Leon Simon United States
Xu‐Jia Wang Australia
Dmitri Burago United States
Robert Hardt United States
Nicola Gigli Italy
Stefan Hildebrandt Germany
James Eells United Kingdom
David Jerison United States
Ennio De Giorgi Italy
William P. Ziemer United States
Juha Heinonen relative to Leon Simon United States Leon Simon's profile →
Citations per field
00.5×20×40×54.3×
Leon Simon · 1×
Citations per year

Countries citing papers authored by Juha Heinonen

Since Specialization
Citations

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

Fields of papers citing papers by Juha Heinonen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juha Heinonen

This figure shows the co-authorship network connecting the top 25 collaborators of Juha Heinonen. A scholar is included among the top collaborators of Juha Heinonen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Juha Heinonen. Juha Heinonen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 3
3 3
4 62
5 12
6 23
7 2
8
Lectures on Lipschitz analysis
93
9
Geometric embeddings of metric spaces
26
10
Quasiconformal mappings with Sobolev boundary values
3
11 10
12 12
13 35
14 17
15 12
16 16
17 2
18 17
19 3
20 2

About Juha Heinonen

Juha Heinonen is a scholar working on Geometry and Topology, Applied Mathematics and Mathematical Physics, having authored 73 papers that have together received 3.5k indexed citations. Recurring topics across this work include Analytic and geometric function theory (36 papers), Geometric Analysis and Curvature Flows (24 papers) and Nonlinear Partial Differential Equations (19 papers). The work is most often cited by research in Applied Mathematics (2.7k citations), Geometry and Topology (1.7k citations) and Mathematical Physics (938 citations). Juha Heinonen has collaborated with scholars based in United States, Finland and Germany. Frequent co-authors include Pekka Koskela, Tero Kilpeläinen, Олли Мартио, Nageswari Shanmugalingam, Jeremy T. Tyson, Mario Bonk, Hele Savin, Ville Vähänissi, Ilkka Holopainen and Seppo Rickman. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nature Photonics.

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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