John Lott

7.5k citations
156 papers · 4.3k indexed · 1 hit paper · h-index 30

John Lott

149 papers receiving 4.0k citations

Hit Papers

Ricci curvature for metric-measure spaces via optimal tra...5632009202620142020100200300400500

Peers

John Lott
Comparison fields: 5 of 172
  • Applied Mathematics 1.3k
  • Geometry and Topology 1.0k
  • Mathematical Physics 688
  • Algebra and Number Theory 203
  • Hepatology 278
Replace Kentarô Yano with:
Kentarô Yano Japan
Michael T. Anderson United States
William Browder United States
Ranjan Roy United States
Yasuhiko Yamada Japan
A. J. Bracken Australia
Peter Buser Switzerland
Takao Fujita Japan
Masayoshi Nagata Japan
Robert P. Gilbert United States
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Citations per field
00.5×5.0×
Kentarô Yano · 1×
Citations per year

Countries citing papers authored by John Lott

Since Specialization
Citations

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

Fields of papers citing papers by John Lott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20234
2 20200
3 20202
4 20181
5
Geometrization of three-dimensional orbifolds via Ricci flow
20148
6 20147
7 201019
8 20083
9 200726
10
Weak curvature conditions and Poincare inequalities
20054
11 200511
12 2003187
13
The Index Gerbe
20011
14 200119
15 19992
16 19969
17 19968
18 199523
19 199570
20 19943

About John Lott

John Lott is a scholar working on Geometry and Topology, Mathematical Physics and Applied Mathematics, having authored 156 papers that have together received 4.3k indexed citations. Recurring topics across this work include Geometric Analysis and Curvature Flows (35 papers), Geometry and complex manifolds (27 papers), Advanced Operator Algebra Research (20 papers), Geometric and Algebraic Topology (17 papers), Homotopy and Cohomology in Algebraic Topology (14 papers), Black Holes and Theoretical Physics (12 papers), Liver Disease Diagnosis and Treatment (11 papers) and Advanced Differential Geometry Research (10 papers). The work is most often cited by research in Applied Mathematics (1.3k citations), Geometry and Topology (1.0k citations) and Mathematical Physics (688 citations). John Lott has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Cédric Villani, Alain Connes, D. Robert Dufour, Leonard B. Seeff, Raymond S. Koff, David R. Gretch, Frederick S. Nolte, John M. Stang, Michael J. Pugia and Jean‐Michel Bismut. Their work appears in journals such as Clinical Chemistry, Communications in Mathematical Physics, Clinical Chemistry and Laboratory Medicine (CCLM), Mathematische Annalen and Journal of Clinical Laboratory Analysis.

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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