Michael Neilan

2.2k citations
64 papers · 1.4k · h-index 21

Impact in

Papers in

Michael Neilan

61 papers receiving 1.3k citations

Peers

Michael Neilan
Comparison fields: 5 of 54
  • Numerical Analysis 291
  • Computational Mechanics 1.1k
  • Computational Theory and Mathematics 564
  • Applied Mathematics 277
  • Geometry and Topology 142
Replace Li-yeng Sung with:
Li-yeng Sung United States
Ricardo G. Durán Argentina
N. Papamichael United Kingdom
Rodica Toader Italy
Johnny Guzmán United States
Snorre H. Christiansen Norway
Régis Monneau France
Chérif Amrouche France
Andrey Piatnitski Russia
Giulio Schimperna Italy
Michael Neilan relative to Li-yeng Sung United States Li-yeng Sung's profile →
Citations per field
00.5×4.3×
Li-yeng Sung · 1×
Citations per year

Countries citing papers authored by Michael Neilan

Since Specialization
Citations

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

Fields of papers citing papers by Michael Neilan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013134
2 2013113
3 201394
4 200872
5 201370
6 201166
7 200962
8 201559
9 201147
10 201740
11 201034
12 201134
13 201231
14 201630
15 202029
16 201527
17 201126
18 201624
19 200923
20 201021

About Michael Neilan

Michael Neilan is a scholar working on Computational Mechanics, Computational Theory and Mathematics, Mechanics of Materials, Numerical Analysis and Applied Mathematics, having authored 64 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Numerical Methods in Computational Mathematics (53 papers), Advanced Mathematical Modeling in Engineering (23 papers), Numerical methods in engineering (20 papers), Differential Equations and Numerical Methods (12 papers), Nonlinear Partial Differential Equations (11 papers), Computational Fluid Dynamics and Aerodynamics (10 papers), Numerical methods for differential equations (9 papers) and Geometric Analysis and Curvature Flows (8 papers). The work is most often cited by research in Numerical Analysis (291 citations), Computational Mechanics (1.1k citations), Computational Theory and Mathematics (564 citations), Applied Mathematics (277 citations) and Geometry and Topology (142 citations). Michael Neilan has collaborated with scholars based in United States, Germany and India. Frequent co-authors include Xiaobing Feng, Johnny Guzmán, Susanne C. Brenner, Richard S. Falk, Roland Glowinski, Thirupathi Gudi, Li-yeng Sung, Wujun Zhang, Abner J. Salgado and Alexander Linke. Their work appears in journals such as Mathematics of Computation, Journal of Scientific Computing, SIAM Journal on Numerical Analysis, IMA Journal of Numerical Analysis and CALCOLO.

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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