Michael Neumann

190 papers receiving 2.7k citations

Michael Neumann's Hit Papers

An Introduction to Local Spectral Theory 2000 · 511 citations
5110+8+17Years since publication100200300400500

Peers

Michael Neumann
Comparison fields: 5 of 124
  • Algebra and Number Theory 482
  • Computational Theory and Mathematics 1.5k
  • Mathematical Physics 805
  • Geometry and Topology 700
  • Numerical Analysis 432
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Citations per field
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Citations per year

Countries citing papers authored by Michael Neumann

Since Specialization
Citations

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

Fields of papers citing papers by Michael Neumann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 201 papers — load more, or switch the sort, to bring in the rest.

#Work
1
An Introduction to Local Spectral Theory
Hit paper breakdown →
2000511
2 2005182
3 200492
4 200477
5 198463
6 199663
7 199753
8 200253
9 199752
10 200448
11 198547
12 200645
13 199745
14 199740
15 198738
16 198537
17 199537
18 197636
19
Convergence of infinite products of matrices and inner-outer iteration schemes
199433
20 199831

About Michael Neumann

Michael Neumann is a scholar working on Computational Theory and Mathematics, Geometry and Topology, Mathematical Physics, Applied Mathematics and Electrical and Electronic Engineering, having authored 201 papers that have together received 3.0k indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (95 papers), Graph theory and applications (49 papers), graph theory and CDMA systems (31 papers), Advanced Optimization Algorithms Research (28 papers), Advanced Topics in Algebra (27 papers), Advanced Banach Space Theory (22 papers), Holomorphic and Operator Theory (22 papers) and Markov Chains and Monte Carlo Methods (13 papers). The work is most often cited by research in Algebra and Number Theory (482 citations), Computational Theory and Mathematics (1.5k citations), Mathematical Physics (805 citations), Geometry and Topology (700 citations) and Numerical Analysis (432 citations). Michael Neumann has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Kjeld Laursen, Stephen Kirkland, Steve Kirkland, Bryan L. Shader, Lixing Han, Robert J. Plemmons, Emeric Deutsch, Lars Nachbar, Marion Schneider and Christian Ell. Their work appears in journals such as Linear Algebra and its Applications, SIAM Journal on Matrix Analysis and Applications, Journal of Mathematical Analysis and Applications, Numerische Mathematik and Electronic Journal of Linear Algebra.

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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