M. N. Spijker

60 total papers · 1.5k total citations
53 papers, 1.1k citations indexed

About

M. N. Spijker is a scholar working on Numerical Analysis, Computational Mechanics and Computational Theory and Mathematics. According to data from OpenAlex, M. N. Spijker has authored 53 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Numerical Analysis, 28 papers in Computational Mechanics and 28 papers in Computational Theory and Mathematics. Recurrent topics in M. N. Spijker's work include Numerical methods for differential equations (45 papers), Advanced Numerical Methods in Computational Mathematics (28 papers) and Matrix Theory and Algorithms (26 papers). M. N. Spijker is often cited by papers focused on Numerical methods for differential equations (45 papers), Advanced Numerical Methods in Computational Mathematics (28 papers) and Matrix Theory and Algorithms (26 papers). M. N. Spijker collaborates with scholars based in Netherlands, Kuwait and France. M. N. Spijker's co-authors include Willem Hundsdorfer, J. F. B. M. Kraaijevanger, Michel Crouzeix, J. M. Sanz‐Serna, Bruno D. Welfert and Karel J. in ’t Hout and has published in prestigious journals such as Mathematics of Computation, SIAM Journal on Numerical Analysis and Journal of Mathematical Analysis and Applications.

In The Last Decade

M. N. Spijker

52 papers receiving 998 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
M. N. Spijker	905	643	405	122	114	53	1.1k
Blair Swartz	631 0.7×	939 1.5×	292 0.7×	114 0.9×	141 1.2×	45	1.4k
H. Sadok	619 0.7×	323 0.5×	928 2.3×	82 0.7×	185 1.6×	67	1.3k
E. W. Sachs	617 0.7×	449 0.7×	577 1.4×	43 0.4×	64 0.6×	72	1.2k
Melvin R. Scott	706 0.8×	339 0.5×	320 0.8×	51 0.4×	93 0.8×	43	1.1k
Elena Celledoni	706 0.8×	408 0.6×	236 0.6×	146 1.2×	35 0.3×	52	1.0k
Michael Eiermann	482 0.5×	196 0.3×	704 1.7×	94 0.8×	111 1.0×	34	971
Zengqi Wang	478 0.5×	558 0.9×	1.1k 2.7×	139 1.1×	188 1.6×	41	1.3k
Ewa Weinmüller	660 0.7×	238 0.4×	256 0.6×	63 0.5×	216 1.9×	98	922
Charalambos Makridakis	517 0.6×	890 1.4×	361 0.9×	229 1.9×	55 0.5×	48	1.1k
Antonella Zanna	671 0.7×	319 0.5×	274 0.7×	118 1.0×	35 0.3×	27	943

Countries citing papers authored by M. N. Spijker

Since Specialization

Citations

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

Fields of papers citing papers by M. N. Spijker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. N. Spijker. 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 M. N. Spijker. The network helps show where M. N. Spijker may publish in the future.

Co-authorship network of co-authors of M. N. Spijker

This figure shows the co-authorship network connecting the top 25 collaborators of M. N. Spijker. A scholar is included among the top collaborators of M. N. Spijker 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 M. N. Spijker. M. N. Spijker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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