Martin Schechter

9.1k citations
354 papers · 6.6k · h-index 41

Impact in

    • Nonlinear Partial Differential Equations
    • Nonlinear Differential Equations Analysis
    • Differential Equations and Boundary Problems
    • Spectral Theory in Mathematical Physics

Papers in

Martin Schechter

333 papers receiving 5.8k citations

Peers

Martin Schechter
Comparison fields: 5 of 144
  • Applied Mathematics 2.5k
  • Mathematical Physics 1.6k
  • Toxicology 425
  • Cellular and Molecular Neuroscience 2.1k
  • Computational Theory and Mathematics 1.8k
Replace Michael C. Reed with:
Michael C. Reed United States
Katsunori Iwasaki Japan
Martin Aigner Austria
Richard J. Gardner United States
A. Hajnal United States
J. Le Magnen France
Wojciech M. Zajączkowski Poland
Tohru Ozawa Japan
Wolfgang Vogel United States
Yonghui Xia China
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Citations per field
00.5×20×40×53.1×
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Citations per year

Countries citing papers authored by Martin Schechter

Since Specialization
Citations

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

Fields of papers citing papers by Martin Schechter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 354 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992230
2
Spectra of partial differential operators
1986228
3 2006220
4 1993204
5 1999142
6 1971122
7 1959118
8 1966105
9 197593
10 197788
11 200375
12 199472
13 199071
14 199170
15 197666
16 198865
17
Operator methods in quantum mechanics
198163
18 199862
19 197962
20 197360

About Martin Schechter

Martin Schechter is a scholar working on Applied Mathematics, Computational Theory and Mathematics, Cellular and Molecular Neuroscience, Mathematical Physics and Molecular Biology, having authored 354 papers that have together received 6.6k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (97 papers), Advanced Mathematical Modeling in Engineering (95 papers), Nonlinear Partial Differential Equations (66 papers), Spectral Theory in Mathematical Physics (58 papers), Differential Equations and Boundary Problems (51 papers), Neuroscience and Neuropharmacology Research (41 papers), Numerical methods in inverse problems (32 papers) and Differential Equations and Numerical Methods (32 papers). The work is most often cited by research in Applied Mathematics (2.5k citations), Mathematical Physics (1.6k citations), Toxicology (425 citations), Cellular and Molecular Neuroscience (2.1k citations) and Computational Theory and Mathematics (1.8k citations). Martin Schechter has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Daniel J. Calcagnetti, Wenming Zou, John A. Rosecrans, Melvyn S. Berger, Arnold Lebow, Steven A. Signs, Kanishka Perera, Richard A. Glennon, William T. Chance and Nancy J. Leidenheimer. Their work appears in journals such as Pharmacology Biochemistry and Behavior, European Journal of Pharmacology, Transactions of the American Mathematical Society, Communications on Pure and Applied Mathematics and Bulletin of the American Mathematical Society.

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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