Patrick McKenna

3.9k citations
84 papers · 3.1k · h-index 29

Impact in

Papers in

Patrick McKenna

79 papers receiving 2.8k citations

Peers

Patrick McKenna
Comparison fields: 5 of 164
  • Applied Mathematics 676
  • Numerical Analysis 352
  • Computational Theory and Mathematics 587
  • Mathematical Physics 255
  • Urology 138
Replace G.B. John Mancini with:
G.B. John Mancini Canada
W. D. Evans United Kingdom
Ulrich Abel Germany
Νικόλαος Παπαγεωργίου Greece
Seán Dineen United States
Takashi Sakai Japan
Yoshihiro Shibata Japan
Richard O’Brien Australia
Richard M. Lewis United States
Andrea De Gaetano Italy
Patrick McKenna relative to G.B. John Mancini Canada G.B. John Mancini's profile →
Citations per field
00.5×8.6×
G.B. John Mancini · 1×
Citations per year

Countries citing papers authored by Patrick McKenna

Since Specialization
Citations

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

Fields of papers citing papers by Patrick McKenna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992429
2 1994234
3 1990153
4 2010148
5 1994143
6 1994122
7 1993116
8 1997107
9 199296
10 198793
11 199990
12 199283
13 198481
14 198377
15 199471
16 199469
17 197366
18 199463
19 200163
20 200553

About Patrick McKenna

Patrick McKenna is a scholar working on Computational Theory and Mathematics, Applied Mathematics, Numerical Analysis, Surgery and Control and Systems Engineering, having authored 84 papers that have together received 3.1k indexed citations. Recurring topics across this work include Advanced Mathematical Modeling in Engineering (16 papers), Differential Equations and Numerical Methods (12 papers), Nonlinear Partial Differential Equations (9 papers), Vibration and Dynamic Analysis (7 papers), Numerical methods for differential equations (5 papers), Advanced Numerical Methods in Computational Mathematics (4 papers), Nonlinear Differential Equations Analysis (4 papers) and Stability and Controllability of Differential Equations (4 papers). The work is most often cited by research in Applied Mathematics (676 citations), Numerical Analysis (352 citations), Computational Theory and Mathematics (587 citations), Mathematical Physics (255 citations) and Urology (138 citations). Patrick McKenna has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include A. C. Lazer, Tianli Yue, Wolfgang Walter, Juan-Li Gu, G Feuerstein, Paul G. Lysko, Giora Feuerstein, Y. S. Choi, Kathryn A. Lysko and Robert Ruffolo. Their work appears in journals such as Nonlinear Analysis, Differential and Integral Equations, Cancer, Journal of Computational and Applied Mathematics and European Journal of Pharmacology.

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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