Michael J. Johnson

579 total citations
43 papers, 426 citations indexed

About

Michael J. Johnson is a scholar working on Computational Mechanics, Global and Planetary Change and Applied Mathematics. According to data from OpenAlex, Michael J. Johnson has authored 43 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computational Mechanics, 7 papers in Global and Planetary Change and 6 papers in Applied Mathematics. Recurrent topics in Michael J. Johnson's work include Advanced Numerical Analysis Techniques (19 papers), Advanced Numerical Methods in Computational Mathematics (10 papers) and Numerical methods in engineering (5 papers). Michael J. Johnson is often cited by papers focused on Advanced Numerical Analysis Techniques (19 papers), Advanced Numerical Methods in Computational Mathematics (10 papers) and Numerical methods in engineering (5 papers). Michael J. Johnson collaborates with scholars based in Kuwait, United States and Singapore. Michael J. Johnson's co-authors include Kevin A. Peterson, Jeffrey J. Roix, Ian Welsh, Timothy P. O’Brien, Robert W. Burgess, B. J. Andraski, Lakdére Benkherouf, Brian W. Christman, Michael Kriss and Gina Hong and has published in prestigious journals such as Molecular and Cellular Biology, CHEST Journal and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

Michael J. Johnson

40 papers receiving 393 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michael J. Johnson Kuwait 12 117 72 50 49 49 43 426
Hiroaki Kobayashi Japan 16 129 1.1× 124 1.7× 17 0.3× 47 1.0× 45 0.9× 97 832
K. John Singh India 18 161 1.4× 45 0.6× 471 9.4× 5 0.1× 46 0.9× 69 1.1k
Zhijian Wang China 16 230 2.0× 61 0.8× 16 0.3× 26 0.5× 79 1.6× 52 932
Iván Bermejo-Moreno United States 11 815 7.0× 51 0.7× 38 0.8× 86 1.8× 232 4.7× 31 984
Xianyang Jiang China 9 235 2.0× 65 0.9× 13 0.3× 11 0.2× 54 1.1× 25 381
Romain Guibert France 10 114 1.0× 23 0.3× 5 0.1× 4 0.1× 88 1.8× 32 524
Nicolas Benoît France 11 34 0.3× 116 1.6× 32 0.6× 2 0.0× 32 0.7× 38 519
Ute Hahn Denmark 12 9 0.1× 51 0.7× 10 0.2× 132 2.7× 32 0.7× 32 342
J. Anthony Parker United States 5 61 0.5× 13 0.2× 46 0.9× 13 0.3× 33 0.7× 6 684
Saumya Singh India 11 426 3.6× 20 0.3× 9 0.2× 21 0.4× 43 0.9× 48 640

Countries citing papers authored by Michael J. Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael J. Johnson

This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. Johnson. A scholar is included among the top collaborators of Michael J. Johnson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael J. Johnson. Michael J. Johnson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kumar, Anirudh, Chetan Huded, Michael J. Johnson, et al.. (2025). Association of a Comprehensive ST‐Segment–Elevation Myocardial Infarction Protocol With Key Process Metrics Among Patients Transferred for Primary Percutaneous Coronary Intervention. Journal of the American Heart Association. 14(9). e034054–e034054.
2.
Hanson, Ivan, Simon Dixon, Perwaiz Meraj, et al.. (2024). Treatment of Acute Myocardial Infarction and Cardiogenic Shock: Outcomes of the RECOVER III Postapproval Study by Society of Cardiovascular Angiography and Interventions Shock Stage. Journal of the American Heart Association. 13(3). e031803–e031803. 3 indexed citations
3.
Johnson, Michael J., et al.. (2020). Acute Intramyocardial Right Ventricular Hematoma After Coronary Artery Bypass Graft. Journal of Cardiothoracic and Vascular Anesthesia. 35(4). 1172–1175.
4.
Hiemstra, René R., et al.. (2020). Towards untrimmed NURBS: CAD embedded reparameterization of trimmed B-rep geometry using frame-field guided global parameterization. Computer Methods in Applied Mechanics and Engineering. 369. 113227–113227. 25 indexed citations
5.
Semler, Matthew W., Daniel G. Stover, Andrew Copland, et al.. (2012). Flash Mob Research. CHEST Journal. 143(6). 1740–1744. 57 indexed citations
6.
Johnson, Michael J., et al.. (2011). Minimal degree univariate piecewise polynomials with prescribed Sobolev regularity. Journal of Approximation Theory. 164(1). 1–5. 3 indexed citations
7.
Johnson, Michael J., et al.. (2009). Evapotranspiration from the Lower Walker River Basin, West-Central Nevada, Water Years 2005-07. Scientific investigations report. 20 indexed citations
8.
Johnson, Michael J., et al.. (2009). Scattered data reconstruction by regularization in B-spline and associated wavelet spaces. Journal of Approximation Theory. 159(2). 197–223. 16 indexed citations
9.
Benkherouf, Lakdére & Michael J. Johnson. (2009). On a stochastic demand jump inventory model. Mathematical and Computer Modelling. 50(7-8). 1218–1228. 7 indexed citations
10.
Johnson, Michael J.. (2008). A symmetric collocation method with fast evaluation. IMA Journal of Numerical Analysis. 29(3). 773–789. 1 indexed citations
11.
Johnson, Michael J., et al.. (2008). Portable chamber measurements of evapotranspiration at the Amargosa Desert Research Site near Beatty, Nye County, Nevada, 2003-06. Scientific investigations report. 6 indexed citations
12.
Johnson, Michael J.. (2006). A note on the limited stability of surface spline interpolation. Journal of Approximation Theory. 141(2). 182–188.
13.
Johnson, Michael J.. (2004). An error analysis for radial basis function interpolation. Numerische Mathematik. 98(4). 675–694. 4 indexed citations
14.
Johnson, Michael J., et al.. (2002). Selected micrometeorological and soil-moisture data at Amargosa Desert Research Site in Nye County near Beatty, Nevada, 1998-2000. Antarctica A Keystone in a Changing World. 12 indexed citations
15.
Johnson, Michael J.. (2001). Scattered Date Interpolation from Principal Shift-Invariant Spaces. Journal of Approximation Theory. 113(2). 172–188. 6 indexed citations
16.
Johnson, Michael J.. (2000). The $L_{2}$-approximation order of surface spline interpolation. Mathematics of Computation. 70(234). 719–738. 8 indexed citations
17.
Johnson, Michael J.. (2000). Approximation in L( ) from Spaces Spanned by the Perturbed Integer Translates of a Radial Function. Journal of Approximation Theory. 107(2). 163–203. 4 indexed citations
18.
Johnson, Michael J.. (1997). On the Approximation Order of Principal Shift-Invariant Subspaces ofL( ). Journal of Approximation Theory. 91(3). 279–319. 13 indexed citations
19.
Johnson, Michael J.. (1997). A Bound on the Approximation Order of Surface Splines. Constructive Approximation. 14(3). 429–438. 18 indexed citations
20.
Johnson, Michael J.. (1996). Quantifying the value of reconnaissance using Lanchesterian type equations. Mathematical and Computer Modelling. 23(1-2). 73–80. 3 indexed citations

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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