Michel L. Lapidus
- Mathematical Physics top 0.5%
- Computational Theory and Mathematics top 1%
- Applied Mathematics top 1%
- Statistical and Nonlinear Physics top 2%
- Condensed Matter Physics top 5%
- Co-authors
- Gerald W. JohnsonJun KigamiCarl PomeranceJacqueline FleckingerDarko ŽubrinićErin P. J. PearseHelmut MaierErik Christensen
- Topics
- Mathematical Dynamics and Fractals (37 papers)advanced mathematical theories (24 papers)Theoretical and Computational Physics (17 papers)
- Journals
- Communications in Mathematical PhysicsJournal of Mathematical Analysis and ApplicationsPhilosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences
- Partner nations
- United StatesFranceCroatia
In The Last Decade
Michel L. Lapidus
75 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 72
- Mathematical Physics 1.2k
- Computational Theory and Mathematics 472
- Applied Mathematics 467
- Statistical and Nonlinear Physics 381
- Condensed Matter Physics 287
Countries citing papers authored by Michel L. Lapidus
This map shows the geographic impact of Michel L. Lapidus'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 Michel L. Lapidus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michel L. Lapidus more than expected).
Fields of papers citing papers by Michel L. Lapidus
This network shows the impact of papers produced by Michel L. Lapidus. 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 Michel L. Lapidus. The network helps show where Michel L. Lapidus may publish in the future.
Co-authorship network of co-authors of Michel L. Lapidus
This figure shows the co-authorship network connecting the top 25 collaborators of Michel L. Lapidus. A scholar is included among the top collaborators of Michel L. Lapidus 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 Michel L. Lapidus. Michel L. Lapidus is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 8 | |
| 5 | 4 | |
| 6 | 4 | |
| 7 | 0 | |
| 8 | 5 | |
| 9 | 30 | |
| 10 | 6 | |
| 11 | 14 | |
| 12 | 32 | |
| 13 | 31 | |
| 14 | 2 | |
| 15 | 51 | |
| 16 | 2 | |
| 17 | 10 | |
| 18 | 36 | |
| 19 | 12 | |
| 20 | 19 |
About Michel L. Lapidus
Michel L. Lapidus is a scholar working on Mathematical Physics, Statistical and Nonlinear Physics and Applied Mathematics, having authored 78 papers that have together received 1.6k indexed citations. Recurring topics across this work include Mathematical Dynamics and Fractals (37 papers), advanced mathematical theories (24 papers) and Theoretical and Computational Physics (17 papers). The work is most often cited by research in Mathematical Physics (1.2k citations), Applied Mathematics (467 citations) and Statistical and Nonlinear Physics (381 citations). Michel L. Lapidus has collaborated with scholars based in United States, France and Croatia. Frequent co-authors include Gerald W. Johnson, Jun Kigami, Carl Pomerance, Jacqueline Fleckinger, Darko Žubrinić, Erin P. J. Pearse, Helmut Maier, Erik Christensen, Cristina Ivan and John A. Rock. Their work appears in journals such as Communications in Mathematical Physics, Journal of Mathematical Analysis and Applications and Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences.
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.