Martin Schechter

9.1k citations
354 papers · 6.6k indexed · h-index 41
Topics
Neurotransmitter Receptor Influence on Behavior (97 papers)Advanced Mathematical Modeling in Engineering (95 papers)Nonlinear Partial Differential Equations (66 papers)

In The Last Decade

Martin Schechter

332 papers receiving 5.7k citations

Peers

Martin Schechter
Comparison fields: 5 of 147
  • Applied Mathematics 2.5k
  • Cellular and Molecular Neuroscience 2.3k
  • Computational Theory and Mathematics 1.8k
  • Mathematical Physics 1.6k
  • Molecular Biology 1.1k
Replace Michael C. Reed with:
Michael C. Reed United States
Katsunori Iwasaki Japan
Erik Hendriksen Netherlands
Martin Aigner Austria
A. Hajnal United States
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Wojciech M. Zajączkowski Poland
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Tohru Ozawa Japan
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Citations per field
00.5×5.7×
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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-authorship network of co-authors of Martin Schechter

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Schechter. A scholar is included among the top collaborators of Martin Schechter 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 Martin Schechter. Martin Schechter 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 5
3
New linking theorems
19
4 5
5 2
6 2
7
Spectra of partial differential operators: second edition
11
8
Completeness of wave operators in two Hilbert spaces
1
9
Schrödinger operators in the uniform norm
2
10 3
11 1
12 20
13 10
14
A nonlinear elliptic boundary value problem
12
15 24
16
The spectrum of operators on $L^p (E^n)$
2
17
Basic theory of Fredholm operators
30
18
Nonlocal elliptic boundary value problems
7
19 3
20 2

About Martin Schechter

Martin Schechter is a scholar working on Applied Mathematics, Mathematical Physics and Numerical Analysis, 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) and Nonlinear Partial Differential Equations (66 papers). The work is most often cited by research in Applied Mathematics (2.5k citations), Mathematical Physics (1.6k citations) and Toxicology (449 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, Kanishka Perera, Steven A. Signs, Richard A. Glennon, William T. Chance and Nancy J. Leidenheimer. Their work appears in journals such as Physical Review Letters, Neuroscience & Biobehavioral Reviews and Journal of Pharmacology and Experimental Therapeutics.

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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