Jürgen Gerhard

95 total papers · 1.2k total citations
21 papers, 613 citations indexed

About

Jürgen Gerhard is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Information Systems. According to data from OpenAlex, Jürgen Gerhard has authored 21 papers receiving a total of 613 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computational Theory and Mathematics, 6 papers in Artificial Intelligence and 4 papers in Information Systems. Recurrent topics in Jürgen Gerhard's work include Polynomial and algebraic computation (9 papers), Coding theory and cryptography (4 papers) and Modeling and Simulation Systems (3 papers). Jürgen Gerhard is often cited by papers focused on Polynomial and algebraic computation (9 papers), Coding theory and cryptography (4 papers) and Modeling and Simulation Systems (3 papers). Jürgen Gerhard collaborates with scholars based in Germany, Canada and United States. Jürgen Gerhard's co-authors include Joachim von zur Gathen, Joseph F. Capitani, Michael P. Barnett, David J. Jeffrey, Guillaume Moroz, Arne Storjohann, Mark Giesbrecht, Eugene V. Zima, Ilias Kotsireas and Olaf Müller and has published in prestigious journals such as Mathematics of Computation, SAE technical papers on CD-ROM/SAE technical paper series and International Journal of Quantum Chemistry.

In The Last Decade

Jürgen Gerhard

19 papers receiving 575 citations

Author Peers

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

Author						Papers	Cites
Jürgen Gerhard	221	221	174	105	99	21	613
Laurent Fousse	57 0.3×	339 1.5×	138 0.8×	37 0.4×	64 0.6×	10	635
Willi-Hans Steeb	137 0.6×	98 0.4×	146 0.8×	120 1.1×	13 0.1×	68	595
Jacques Calmet	46 0.2×	188 0.9×	227 1.3×	92 0.9×	52 0.5×	70	693
Vladimir P. Gerdt	118 0.5×	382 1.7×	84 0.5×	61 0.6×	56 0.6×	110	665
Dieter Schmidt	280 1.3×	93 0.4×	87 0.5×	55 0.5×	34 0.3×	54	640
George Boole	45 0.2×	103 0.5×	136 0.8×	50 0.5×	10 0.1×	15	566
Thomas Wolf	326 1.5×	42 0.2×	65 0.4×	35 0.3×	13 0.1×	61	569
Haifeng Ma	91 0.4×	463 2.1×	93 0.5×	92 0.9×	9 0.1×	54	613
Henry J. Ricardo	84 0.4×	110 0.5×	102 0.6×	12 0.1×	34 0.3×	10	512
J. C. P. Miller	36 0.2×	84 0.4×	57 0.3×	41 0.4×	28 0.3×	46	507

Countries citing papers authored by Jürgen Gerhard

Since Specialization

Citations

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

Fields of papers citing papers by Jürgen Gerhard

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jürgen Gerhard

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