Michael Skeide

977 citations
53 papers · 477 · h-index 10

Impact in

Papers in

Michael Skeide

48 papers receiving 440 citations

Peers

Michael Skeide
Comparison fields: 5 of 25
  • Algebra and Number Theory 212
  • Mathematical Physics 394
  • Statistics and Probability 122
  • Geometry and Topology 130
  • Applied Mathematics 108
Replace B. V. Rajarama Bhat with:
B. V. Rajarama Bhat India
Michael Schürmann Germany
Ignacio Villanueva Spain
Yu. S. Samoĭlenko Ukraine
Stanislav Anatol'evich Shkarin United Kingdom
Fabio Cipriani Italy
László Zsidó Italy
Wim H. Schikhof Netherlands
Francesco Fidaleo Italy
Adam Skalski Poland
Michael Skeide relative to B. V. Rajarama Bhat India B. V. Rajarama Bhat's profile →
Citations per field
00.5×1.5×2.2×
B. V. Rajarama Bhat · 1×
Citations per year

Countries citing papers authored by Michael Skeide

Since Specialization
Citations

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

Fields of papers citing papers by Michael Skeide

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Michael Skeide, 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 Skeide Line = papers co-authored together Michael Skeide links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200069
2 200258
3 200350
4 199830
5 200322
6 200019
7 200016
8 200616
9 200615
10 199811
11 200610
12 20099
13 20028
14 20068
15 20148
16 20108
17 20077
18 20047
19 20067
20 20056

About Michael Skeide

Michael Skeide is a scholar working on Mathematical Physics, Algebra and Number Theory, Geometry and Topology, Statistics and Probability and Applied Mathematics, having authored 53 papers that have together received 477 indexed citations. Recurring topics across this work include Advanced Operator Algebra Research (43 papers), Advanced Topics in Algebra (31 papers), Algebraic structures and combinatorial models (17 papers), Random Matrices and Applications (11 papers), Holomorphic and Operator Theory (8 papers), Quantum Mechanics and Applications (6 papers), Advanced Banach Space Theory (6 papers) and Spectral Theory in Mathematical Physics (4 papers). The work is most often cited by research in Algebra and Number Theory (212 citations), Mathematical Physics (394 citations), Statistics and Probability (122 citations), Geometry and Topology (130 citations) and Applied Mathematics (108 citations). Michael Skeide has collaborated with scholars based in Italy, Germany and India. Frequent co-authors include B. V. Rajarama Bhat, Luigi Accardi, Volkmar Liebscher, Uwe Franz, Michael Schürmann, Orr Moshe Shalit, Baruch Solel, Paul S. Muhly, Franco Fagnola and Jens Kaad. Their work appears in journals such as Infinite Dimensional Analysis Quantum Probability and Related Topics, Journal of Functional Analysis, Open Systems & Information Dynamics, Communications in Mathematical Physics and Proceedings 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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