Michael E. Paul

585 citations
14 papers · 296 · h-index 9

Impact in

Papers in

Michael E. Paul

13 papers receiving 264 citations

Peers

Michael E. Paul
Comparison fields: 5 of 49
  • Mathematical Physics 159
  • Computational Theory and Mathematics 156
  • Geometry and Topology 38
  • Neurology 31
  • Ophthalmology 16
Replace Peter Bubenik with:
Peter Bubenik United States
N. F. G. Martin United States
Michael Lesnick United States
Rocı́o González-Dı́az Spain
Vidit Nanda United States
José A. Perea United States
Barbara Di Fabio Italy
Sergei Soloviev France
James T. Rogers United States
Paul Bendich United States
Michael E. Paul relative to Peter Bubenik United States Peter Bubenik's profile →
Citations per field
00.5×5.3×
Peter Bubenik · 1×
Citations per year

Countries citing papers authored by Michael E. Paul

Since Specialization
Citations

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

Fields of papers citing papers by Michael E. Paul

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael E. Paul. 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 Michael E. Paul. The network helps show where Michael E. Paul may publish in the future.

Co-authors

The 5 scholars most cited alongside Michael E. Paul, 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 Michael E. Paul Line = papers co-authored together Michael E. Paul links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 199885
2 197464
3 197540
4 197925
5 197419
6 197715
7 198115
8 197614
9 19788
10 19824
11 19973
12 19792
13 19822
14 20220

About Michael E. Paul

Michael E. Paul is a scholar working on Mathematical Physics, Computational Theory and Mathematics, Geometry and Topology, Molecular Biology and Cellular and Molecular Neuroscience, having authored 14 papers that have together received 296 indexed citations. Recurring topics across this work include Mathematical Dynamics and Fractals (9 papers), Cellular Automata and Applications (8 papers), Advanced Topology and Set Theory (3 papers), semigroups and automata theory (3 papers), Computability, Logic, AI Algorithms (2 papers), Advanced Operator Algebra Research (1 paper), Holomorphic and Operator Theory (1 paper) and Computational Geometry and Mesh Generation (1 paper). The work is most often cited by research in Mathematical Physics (159 citations), Computational Theory and Mathematics (156 citations), Geometry and Topology (38 citations), Neurology (31 citations) and Ophthalmology (16 citations). Michael E. Paul has collaborated with scholars based in United States, Germany and India. Frequent co-authors include Ethan M. Coven, Nelson G. Markley, Andreas Höfer, Richard H. W. Funk and David J. Houck. Their work appears in journals such as Theory of Computing Systems, Israel Journal of Mathematics, Transactions of the American Mathematical Society, Linear Algebra and its Applications and Mathematische Nachrichten.

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.

Explore authors with similar magnitude of impact