J. Sprekels

56 total papers · 717 total citations
37 papers, 459 citations indexed

About

J. Sprekels is a scholar working on Computational Theory and Mathematics, Materials Chemistry and Computational Mechanics. According to data from OpenAlex, J. Sprekels has authored 37 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computational Theory and Mathematics, 15 papers in Materials Chemistry and 9 papers in Computational Mechanics. Recurrent topics in J. Sprekels's work include Advanced Mathematical Modeling in Engineering (14 papers), Solidification and crystal growth phenomena (12 papers) and Advanced Numerical Methods in Computational Mathematics (5 papers). J. Sprekels is often cited by papers focused on Advanced Mathematical Modeling in Engineering (14 papers), Solidification and crystal growth phenomena (12 papers) and Advanced Numerical Methods in Computational Mathematics (5 papers). J. Sprekels collaborates with scholars based in Germany, United States and Italy. J. Sprekels's co-authors include Dan Tiba, K. H. Hoffmann, P. Neittaanmäki, Klaus Glashoff, Pavel Krejčı́, Karl‐Heinz Hoffmann, K. H. Hoffmann, Pierluigi Colli, Maurizio Grasselli and Sergio Frigeri and has published in prestigious journals such as Journal of Computational Physics, Journal of Mathematical Analysis and Applications and Journal of Crystal Growth.

In The Last Decade

J. Sprekels

35 papers receiving 392 citations

Author Peers

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

Author Last Decade Papers Cites
J. Sprekels 240 182 100 100 93 37 459
Irena Pawłow 303 1.3× 291 1.6× 108 1.1× 61 0.6× 119 1.3× 37 495
Stuart S. Antman 114 0.5× 80 0.4× 153 1.5× 160 1.6× 60 0.6× 36 470
Anvarbek Meirmanov 262 1.1× 91 0.5× 34 0.3× 127 1.3× 142 1.5× 41 499
Gaetano Fichera 214 0.9× 46 0.3× 84 0.8× 239 2.4× 96 1.0× 37 543
Hans‐Dieter Alber 281 1.2× 213 1.2× 32 0.3× 195 1.9× 116 1.2× 35 503
Henry C. Simpson 144 0.6× 32 0.2× 60 0.6× 200 2.0× 40 0.4× 21 426
Dorothee Knees 307 1.3× 58 0.3× 44 0.4× 276 2.8× 103 1.1× 32 466
Barbara Stoth 211 0.9× 378 2.1× 14 0.1× 52 0.5× 150 1.6× 17 549
Alfredo Marzocchi 276 1.1× 62 0.3× 291 2.9× 121 1.2× 25 0.3× 33 480
Xiaopeng Zhao 132 0.6× 104 0.6× 112 1.1× 22 0.2× 89 1.0× 89 488

Countries citing papers authored by J. Sprekels

Since Specialization
Citations

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

Fields of papers citing papers by J. Sprekels

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Sprekels

This figure shows the co-authorship network connecting the top 25 collaborators of J. Sprekels. A scholar is included among the top collaborators of J. Sprekels 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 J. Sprekels. J. Sprekels 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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