Diego A. Murio

2.1k total citations · 1 hit paper
50 papers, 1.6k citations indexed

About

Diego A. Murio is a scholar working on Mathematical Physics, Mechanics of Materials and Computational Theory and Mathematics. According to data from OpenAlex, Diego A. Murio has authored 50 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Mathematical Physics, 21 papers in Mechanics of Materials and 13 papers in Computational Theory and Mathematics. Recurrent topics in Diego A. Murio's work include Numerical methods in inverse problems (41 papers), Thermoelastic and Magnetoelastic Phenomena (15 papers) and Advanced Mathematical Modeling in Engineering (9 papers). Diego A. Murio is often cited by papers focused on Numerical methods in inverse problems (41 papers), Thermoelastic and Magnetoelastic Phenomena (15 papers) and Advanced Mathematical Modeling in Engineering (9 papers). Diego A. Murio collaborates with scholars based in United States, Colombia and Argentina. Diego A. Murio's co-authors include James V. Beck, Shengan Zhan, Lijia Guo, Anthony W. Leung, A. C. Lazer, J. Thomas King and Y. Liu and has published in prestigious journals such as AIAA Journal, Computers & Mathematics with Applications and Journal of Computational and Applied Mathematics.

In The Last Decade

Diego A. Murio

49 papers receiving 1.5k citations

Hit Papers

Implicit finite difference approximation for time fractio... 2008 2026 2014 2020 2008 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Diego A. Murio United States 19 1.0k 713 689 445 251 50 1.6k
Chu‐Li Fu China 28 1.9k 1.9× 1.4k 1.9× 407 0.6× 203 0.5× 342 1.4× 100 2.2k
Leevan Ling Hong Kong 25 437 0.4× 1.6k 2.2× 439 0.6× 441 1.0× 878 3.5× 87 2.2k
Ulrich Tautenhahn Germany 23 1.2k 1.2× 471 0.7× 142 0.2× 201 0.5× 314 1.3× 44 1.4k
Ðinh Nho Hào Vietnam 22 1.2k 1.1× 624 0.9× 148 0.2× 123 0.3× 272 1.1× 86 1.4k
Damian Słota Poland 20 334 0.3× 275 0.4× 451 0.7× 279 0.6× 140 0.6× 133 1.2k
Vincent J. Ervin United States 23 227 0.2× 705 1.0× 1.2k 1.8× 1.1k 2.5× 897 3.6× 81 2.5k
Sirajul Islam Pakistan 32 196 0.2× 1.4k 1.9× 1.7k 2.5× 1.5k 3.3× 728 2.9× 111 3.1k
Alemdar Hasanov Türkiye 20 856 0.9× 632 0.9× 99 0.1× 96 0.2× 131 0.5× 96 1.2k
N. I. Ioakimidis Greece 21 127 0.1× 1.4k 1.9× 317 0.5× 304 0.7× 246 1.0× 234 2.0k
W. R. Madych United States 14 206 0.2× 651 0.9× 148 0.2× 205 0.5× 554 2.2× 57 1.4k

Countries citing papers authored by Diego A. Murio

Since Specialization
Citations

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

Fields of papers citing papers by Diego A. Murio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Diego A. Murio. 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 Diego A. Murio. The network helps show where Diego A. Murio may publish in the future.

Co-authorship network of co-authors of Diego A. Murio

This figure shows the co-authorship network connecting the top 25 collaborators of Diego A. Murio. A scholar is included among the top collaborators of Diego A. Murio 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 Diego A. Murio. Diego A. Murio 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.
Murio, Diego A.. (2008). Time fractional IHCP with Caputo fractional derivatives. Computers & Mathematics with Applications. 56(9). 2371–2381. 81 indexed citations
2.
Murio, Diego A.. (2008). Implicit finite difference approximation for time fractional diffusion equations. Computers & Mathematics with Applications. 56(4). 1138–1145. 396 indexed citations breakdown →
3.
Murio, Diego A.. (2007). Stable numerical solution of a fractional-diffusion inverse heat conduction problem. Computers & Mathematics with Applications. 53(10). 1492–1501. 87 indexed citations
4.
Murio, Diego A., et al.. (2005). Numerical solutions of inverse spatial Lotka-Volterra systems. Mathematical and Computer Modelling. 42(13). 1411–1420. 1 indexed citations
5.
Murio, Diego A., et al.. (2004). Identification of source terms in 2-D IHCP. Computers & Mathematics with Applications. 47(10-11). 1517–1533. 29 indexed citations
6.
Murio, Diego A., et al.. (2001). Automatic numerical solution of generalized 2-D IHCP by discrete mollification. Computers & Mathematics with Applications. 41(1-2). 15–38. 3 indexed citations
7.
Zhan, Shengan & Diego A. Murio. (1999). Surface fitting and numerical gradient computations by discrete mollification. Computers & Mathematics with Applications. 37(9). 85–102. 7 indexed citations
8.
Murio, Diego A., et al.. (1999). Regularization techniques for nonlinear problems. Computers & Mathematics with Applications. 37(10). 145–159. 4 indexed citations
9.
Murio, Diego A., et al.. (1998). Discrete mollification and automatic numerical differentiation. Computers & Mathematics with Applications. 35(5). 1–16. 59 indexed citations
10.
Zhan, Shengan & Diego A. Murio. (1998). Identification of parameters in one-dimensional IHCP. Computers & Mathematics with Applications. 35(3). 1–16. 5 indexed citations
11.
Liu, Y. & Diego A. Murio. (1996). Numerical experiments in 2-D IHCP on bounded domains Part I: The “interior” cube problem. Computers & Mathematics with Applications. 31(1). 15–32. 8 indexed citations
12.
Murio, Diego A., et al.. (1996). 3D-IHCP on a finite cube. Computers & Mathematics with Applications. 31(1). 1–14. 6 indexed citations
13.
Murio, Diego A., et al.. (1993). Mollified hyperbolic method for coefficient identification problems. Computers & Mathematics with Applications. 26(5). 1–12. 13 indexed citations
14.
Murio, Diego A.. (1992). Solution of inverse heat conduction problems with phase changes by the mollification method. Computers & Mathematics with Applications. 24(7). 45–57. 12 indexed citations
15.
Murio, Diego A., et al.. (1990). Discrete stability analysis of the mollification method for numerical differentiation. Computers & Mathematics with Applications. 19(6). 15–26. 9 indexed citations
16.
Murio, Diego A., et al.. (1988). Combined mollification—future temperatures procedure for solution of inverse heat conduction problem. Journal of Computational and Applied Mathematics. 23(2). 235–244. 16 indexed citations
17.
Murio, Diego A.. (1988). Parameter selection by discrete mollification and the numerical solution of the inverse heat conduction problem. Journal of Computational and Applied Mathematics. 22(1). 25–34. 15 indexed citations
18.
Murio, Diego A.. (1987). Automatic numerical differentiation by discrete mollification. Computers & Mathematics with Applications. 13(4). 381–386. 28 indexed citations
19.
Murio, Diego A.. (1982). On the estimation of the boundary temperature on a sphere from measurements at its center. Journal of Computational and Applied Mathematics. 8(2). 111–119. 20 indexed citations
20.
Lazer, A. C., Anthony W. Leung, & Diego A. Murio. (1982). Monotone scheme for finite difference equations concerning steady-state prey-predator interactions. Journal of Computational and Applied Mathematics. 8(4). 243–252. 17 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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