G. Lassner

404 citations
18 papers · 234 · h-index 7

Impact in

Papers in

G. Lassner

16 papers receiving 206 citations

Peers

G. Lassner
Comparison fields: 5 of 26
  • Algebra and Number Theory 148
  • Mathematical Physics 178
  • Applied Mathematics 83
  • Geometry and Topology 42
  • Computational Theory and Mathematics 53
Replace Johan F. Aarnes with:
Johan F. Aarnes Norway
Zirô Takeda Japan
Alvaro Arias United States
F. J. Yeadon United Kingdom
Herbert Halpern United States
正道 竹崎
L. J. Bunce United Kingdom
Marie Choda Japan
V. Ya. Golodets Ukraine
Ivan G. Todorov United Kingdom
G. Lassner relative to Johan F. Aarnes Norway Johan F. Aarnes's profile →
Citations per field
00.5×1.5×
Johan F. Aarnes · 1×
Citations per year

Countries citing papers authored by G. Lassner

Since Specialization
Citations

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

Fields of papers citing papers by G. Lassner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 3 scholars most cited alongside G. Lassner, 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 G. Lassner Line = papers co-authored together G. Lassner links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 1972135
2 197222
3 196815
4 197613
5 198911
6 19878
7 19777
8 19754
9 19764
10 19794
11 19773
12 19793
13 19851
14
$O^*$-Topologies on the Test Function Algebra
19751
15 19841
16 19881
17
FAITHFUL REPRESENTATIONS OF ALGEBRAS OF TEST FUNCTIONS.
19671
18
RIGGED HILBERT SPACES AND TOPOLOGIES ON OPERATOR ALGEBRAS
19790

About G. Lassner

G. Lassner is a scholar working on Mathematical Physics, Algebra and Number Theory, Computational Theory and Mathematics, Applied Mathematics and Statistical and Nonlinear Physics, having authored 18 papers that have together received 234 indexed citations. Recurring topics across this work include Advanced Topics in Algebra (8 papers), Spectral Theory in Mathematical Physics (6 papers), Advanced Operator Algebra Research (6 papers), Holomorphic and Operator Theory (4 papers), Advanced Algebra and Logic (4 papers), Matrix Theory and Algorithms (3 papers), Advanced Thermodynamics and Statistical Mechanics (2 papers) and Quantum Information and Cryptography (1 paper). The work is most often cited by research in Algebra and Number Theory (148 citations), Mathematical Physics (178 citations), Applied Mathematics (83 citations), Geometry and Topology (42 citations) and Computational Theory and Mathematics (53 citations). G. Lassner has collaborated with scholars based in Germany, Russia and Czechia. Frequent co-authors include Armin Uhlmann, Camillo Trapanı and Yu. M. Berezanskiĭ. Their work appears in journals such as Publications of the Research Institute for Mathematical Sciences, Zeitschrift für Analysis und ihre Anwendungen, Mathematische Nachrichten, Communications in Mathematical Physics and Reports on Mathematical Physics.

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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