Michael Plum

2.0k citations
85 papers · 1.3k · h-index 20

Impact in

Papers in

Michael Plum

80 papers receiving 1.2k citations

Peers

Michael Plum
Comparison fields: 5 of 62
  • Numerical Analysis 219
  • Mathematical Physics 300
  • Computational Theory and Mathematics 487
  • Management Science and Operations Research 288
  • Demography 257
Replace Jens Frehse with:
Jens Frehse Germany
Zhimin Zhang China
Espen Robstad Jakobsen Norway
Diogo A. Gomes Saudi Arabia
Alexander Yu. Veretennikov Russia
Cyril Imbert France
S. R. Srinivasa Varadhan United States
Zoran Vondraček Croatia
Goran Peškir Denmark
Michael Plum relative to Jens Frehse Germany Jens Frehse's profile →
Citations per field
00.5×1.5×2×2.4×
Jens Frehse · 1×
Citations per year

Countries citing papers authored by Michael Plum

Since Specialization
Citations

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

Fields of papers citing papers by Michael Plum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000224
2 199270
3 200368
4 199264
5 200360
6 201144
7 199943
8 200142
9 201942
10 199536
11 199035
12 199134
13 200531
14 200830
15 200327
16 199127
17 200326
18 200926
19 199224
20 201821

About Michael Plum

Michael Plum is a scholar working on Mathematical Physics, Computational Theory and Mathematics, Numerical Analysis, Applied Mathematics and Computational Mechanics, having authored 85 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Mathematical Modeling in Engineering (26 papers), Advanced Numerical Methods in Computational Mathematics (18 papers), Spectral Theory in Mathematical Physics (16 papers), Numerical methods in inverse problems (14 papers), Differential Equations and Numerical Methods (12 papers), Numerical methods for differential equations (12 papers), Photonic Crystals and Applications (10 papers) and Advanced Mathematical Physics Problems (10 papers). The work is most often cited by research in Numerical Analysis (219 citations), Mathematical Physics (300 citations), Computational Theory and Mathematics (487 citations), Management Science and Operations Research (288 citations) and Demography (257 citations). Michael Plum has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Christian Hipp, Christian Wieners, Yoshitaka Watanabe, P. Joseph McKenna, Mitsuhiro T. Nakao, Carsten Rockstuhl, B. Malcolm Brown, W. D. Evans, Guido Schneider and Armin Lechleiter. Their work appears in journals such as Journal of Differential Equations, Journal of Mathematical Analysis and Applications, Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences, Physical review. B. and Computing.

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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