Michael Hanke

81 total papers · 679 total citations
47 papers, 491 citations indexed

About

Michael Hanke is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, Michael Hanke has authored 47 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Numerical Analysis, 18 papers in Computational Theory and Mathematics and 10 papers in Molecular Biology. Recurrent topics in Michael Hanke's work include Numerical methods for differential equations (22 papers), Matrix Theory and Algorithms (10 papers) and Advanced Numerical Methods in Computational Mathematics (6 papers). Michael Hanke is often cited by papers focused on Numerical methods for differential equations (22 papers), Matrix Theory and Algorithms (10 papers) and Advanced Numerical Methods in Computational Mathematics (6 papers). Michael Hanke collaborates with scholars based in Germany, Sweden and India. Michael Hanke's co-authors include Pu Li, Roswitha März, Jens Pohl, Aideen M. Sullivan, Andreas Binder, Petra Knaus, Markus Kroeber, Wolfgang Poller, Haili Wang and Christina Sieber and has published in prestigious journals such as PLoS ONE, Neuroscience and Mathematics of Computation.

In The Last Decade

Michael Hanke

41 papers receiving 452 citations

Author Peers

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

Author						Papers	Cites
Michael Hanke	161	119	102	73	60	47	491
Liqun	124 0.8×	29 0.2×	51 0.5×	37 0.5×	30 0.5×	68	473
Fengjie Li	147 0.9×	36 0.3×	131 1.3×	82 1.1×	8 0.1×	75	503
Yongxin Wu	204 1.3×	28 0.2×	19 0.2×	150 2.1×	16 0.3×	72	470
Lufang Zhang	124 0.8×	29 0.2×	13 0.1×	6 0.1×	30 0.5×	44	513
Fujita Fujita	85 0.5×	8 0.1×	62 0.6×	19 0.3×	40 0.7×	69	429
Bo Bao	151 0.9×	16 0.1×	22 0.2×	226 3.1×	32 0.5×	21	505
Tingting Wu	20 0.1×	42 0.4×	26 0.3×	3 0.0×	117 1.9×	29	409
Fangfang Liao	63 0.4×	38 0.3×	86 0.8×	35 0.5×	1 0.0×	53	508
Daqian Li	81 0.5×	5 0.0×	8 0.1×	20 0.3×	36 0.6×	20	497
David Schultz	20 0.1×	81 0.7×	26 0.3×	4 0.1×	154 2.6×	35	445

Countries citing papers authored by Michael Hanke

Since Specialization

Citations

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

Fields of papers citing papers by Michael Hanke

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Hanke

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