John E. Osborn

5.3k total citations · 1 hit paper
55 papers, 3.3k citations indexed

About

John E. Osborn is a scholar working on Computational Mechanics, Mechanics of Materials and Computational Theory and Mathematics. According to data from OpenAlex, John E. Osborn has authored 55 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computational Mechanics, 27 papers in Mechanics of Materials and 21 papers in Computational Theory and Mathematics. Recurrent topics in John E. Osborn's work include Advanced Numerical Methods in Computational Mathematics (30 papers), Numerical methods in engineering (25 papers) and Advanced Mathematical Modeling in Engineering (14 papers). John E. Osborn is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (30 papers), Numerical methods in engineering (25 papers) and Advanced Mathematical Modeling in Engineering (14 papers). John E. Osborn collaborates with scholars based in United States, China and France. John E. Osborn's co-authors include Ivo Babuška, Uday Banerjee, Gabriel Caloz, R. Bruce Kellogg, Richard S. Falk, James H. Bramble, Jacques Rappaz, Bertrand Mercier, Juhani Pitkäranta and Stuart S. Antman and has published in prestigious journals such as Journal of Applied Physics, Neurology and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

John E. Osborn

51 papers receiving 2.8k citations

Hit Papers

Special Finite Element Methods for a Class of Second Orde... 1994 2026 2004 2015 1994 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John E. Osborn United States 27 2.4k 2.1k 1.4k 705 394 55 3.3k
Juhani Pitkäranta Finland 21 2.3k 1.0× 1.1k 0.6× 880 0.6× 485 0.7× 612 1.6× 60 2.7k
Richard S. Falk United States 33 3.7k 1.6× 2.3k 1.1× 2.6k 1.8× 943 1.3× 772 2.0× 79 5.2k
Manil Suri United States 23 2.0k 0.8× 1.4k 0.7× 880 0.6× 571 0.8× 439 1.1× 56 2.5k
Christine Bernardi France 29 3.0k 1.3× 1.6k 0.8× 1.7k 1.2× 792 1.1× 524 1.3× 143 3.7k
R. Verfürth Germany 27 4.0k 1.7× 1.8k 0.9× 1.9k 1.3× 906 1.3× 792 2.0× 42 4.3k
A. H. Schatz United States 34 3.4k 1.4× 1.9k 0.9× 2.1k 1.5× 990 1.4× 917 2.3× 59 4.0k
Pavel Bochev United States 29 2.7k 1.1× 1.2k 0.6× 800 0.6× 658 0.9× 485 1.2× 116 3.3k
Todd Dupont United States 27 2.0k 0.9× 930 0.5× 1.1k 0.8× 471 0.7× 1.0k 2.5× 42 2.7k
T. Strouboulis United States 31 2.9k 1.2× 3.0k 1.5× 722 0.5× 1.2k 1.6× 232 0.6× 54 4.1k
Daniele Boffi Italy 25 2.8k 1.2× 1.5k 0.7× 1.1k 0.8× 899 1.3× 311 0.8× 97 3.4k

Countries citing papers authored by John E. Osborn

Since Specialization
Citations

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

Fields of papers citing papers by John E. Osborn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John E. Osborn. 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 John E. Osborn. The network helps show where John E. Osborn may publish in the future.

Co-authorship network of co-authors of John E. Osborn

This figure shows the co-authorship network connecting the top 25 collaborators of John E. Osborn. A scholar is included among the top collaborators of John E. Osborn 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 John E. Osborn. John E. Osborn 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.
Osborn, John E., et al.. (2019). Moment Representations of Type I X2 Exceptional Laguerre Polynomials. 14(1). 49–49.
2.
Osborn, John E., et al.. (2017). Moment representations of exceptional X1 orthogonal polynomials. Journal of Mathematical Analysis and Applications. 455(2). 1848–1869. 2 indexed citations
3.
Knyazev, Andrew, Volker Mehrmann, John E. Osborn, & Jinchao Xu. (2010). Linear and Nonlinear Eigenproblems for PDEs. Oberwolfach Reports. 6(3). 2025–2114. 2 indexed citations
4.
Babuška, Ivo, et al.. (2008). Quadrature for meshless methods. International Journal for Numerical Methods in Engineering. 76(9). 1434–1470. 44 indexed citations
5.
Knyazev, Andrew & John E. Osborn. (2006). New A Priori FEM Error Estimates for Eigenvalues. SIAM Journal on Numerical Analysis. 43(6). 2647–2667. 34 indexed citations
6.
Osborn, John E. & Kaiming Zhao. (1999). Infinite-dimensional Lie algebras of generalized Block type. Proceedings of the American Mathematical Society. 127(6). 1641–1650. 31 indexed citations
7.
Coombes, Kevin R., Ronald L. Lipsman, Brian R. Hunt, John E. Osborn, & Garrett Stuck. (1996). Differential Equations with Matlab. 7 indexed citations
8.
Falk, Richard S. & John E. Osborn. (1994). Remarks on Mixed Finite Element Methods for Problems with Rough Coefficients. Mathematics of Computation. 62(205). 1–1. 10 indexed citations
9.
Banerjee, Uday & John E. Osborn. (1989). Estimation of the effect of numerical integration in finite element eigenvalue approximation. Numerische Mathematik. 56(8). 735–762. 36 indexed citations
10.
Mercier, Bertrand, et al.. (1981). Eigenvalue approximation by mixed and hybrid methods. Mathematics of Computation. 36(154). 427–453. 110 indexed citations
11.
Mercier, Bertrand, et al.. (1981). Eigenvalue Approximation by Mixed and Hybrid Methods. Mathematics of Computation. 36(154). 427–427. 123 indexed citations
12.
Arnold, Douglas N., Ivo Babuška, & John E. Osborn. (1981). Selection of Finite Element Methods.. Defense Technical Information Center (DTIC). 1 indexed citations
13.
Babuška, Ivo & John E. Osborn. (1978). Numerical treatment of eigenvalue problems for differential equations with discontinuous coefficients. Mathematics of Computation. 32(144). 991–1023. 25 indexed citations
14.
Babuška, Ivo & John E. Osborn. (1978). Numerical Treatment of Eigenvalue Problems for Differential Equations with Discontinuous Coefficients. Mathematics of Computation. 32(144). 991–991. 26 indexed citations
15.
Kellogg, R. Bruce & John E. Osborn. (1976). A regularity result for the Stokes problem in a convex polygon. Journal of Functional Analysis. 21(4). 397–431. 239 indexed citations
16.
Osborn, John E. & D. Sather. (1975). Alternative problems for nonlinear equations. Journal of Differential Equations. 17(1). 12–31. 9 indexed citations
17.
Osborn, John E. & D. Sather. (1975). Alternative problems and monotonicity. Journal of Differential Equations. 18(2). 393–410. 5 indexed citations
18.
Bramble, James H. & John E. Osborn. (1973). Rate of Convergence Estimates for Nonselfadjoint Eigenvalue Approximations. Mathematics of Computation. 27(123). 525–525. 47 indexed citations
19.
Bramble, James H. & John E. Osborn. (1973). Rate of convergence estimates for nonselfadjoint eigenvalue approximations. Mathematics of Computation. 27(123). 525–549. 112 indexed citations
20.
Osborn, John E.. (1967). Approximation of the Eigenvalues of a Class of Unbounded, Nonself-Adjoint Operators. SIAM Journal on Numerical Analysis. 4(1). 45–54. 5 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026