Chris-André Leimeister

889 total citations
11 papers, 455 citations indexed

About

Chris-André Leimeister is a scholar working on Molecular Biology, Artificial Intelligence and Spectroscopy. According to data from OpenAlex, Chris-André Leimeister has authored 11 papers receiving a total of 455 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 9 papers in Artificial Intelligence and 1 paper in Spectroscopy. Recurrent topics in Chris-André Leimeister's work include Genomics and Phylogenetic Studies (11 papers), Algorithms and Data Compression (9 papers) and RNA and protein synthesis mechanisms (7 papers). Chris-André Leimeister is often cited by papers focused on Genomics and Phylogenetic Studies (11 papers), Algorithms and Data Compression (9 papers) and RNA and protein synthesis mechanisms (7 papers). Chris-André Leimeister collaborates with scholars based in Germany, France and United Kingdom. Chris-André Leimeister's co-authors include Burkhard Morgenstern, Salma Sohrabi-Jahromi, Christoph Bleidorn, Martin Kollmar, Klas Hatje, Sung‐Hou Kim, Andrzej Zieleziński, Cheong Xin Chan, Fengzhu Sun and Wojciech M. Karłowski and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Genome biology.

In The Last Decade

Chris-André Leimeister

11 papers receiving 452 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chris-André Leimeister Germany	9	425	138	85	82	49	11	455
Matteo Comin Italy	13	488 1.1×	217 1.6×	49 0.6×	54 0.7×	66 1.3×	57	567
Agnieszka Debudaj-Grabysz Poland	5	258 0.6×	98 0.7×	37 0.4×	60 0.7×	35 0.7×	5	325
Neng Huang China	10	375 0.9×	34 0.2×	76 0.9×	118 1.4×	37 0.8×	16	492
Arnold Kuzniar Netherlands	9	251 0.6×	30 0.2×	93 1.1×	70 0.9×	35 0.7×	15	374
Cedrik Magis Spain	7	272 0.6×	31 0.2×	50 0.6×	44 0.5×	37 0.8×	12	382
Adam Gudyś Poland	9	216 0.5×	66 0.5×	20 0.2×	54 0.7×	53 1.1×	18	336
Guillaume Holley Iceland	8	214 0.5×	59 0.4×	59 0.7×	44 0.5×	31 0.6×	12	266
Kujin Tang United States	6	281 0.7×	29 0.2×	51 0.6×	72 0.9×	117 2.4×	8	339

Countries citing papers authored by Chris-André Leimeister

Since Specialization

Citations

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

Fields of papers citing papers by Chris-André Leimeister

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chris-André Leimeister. 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 Chris-André Leimeister. The network helps show where Chris-André Leimeister may publish in the future.

Co-authorship network of co-authors of Chris-André Leimeister

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

All Works

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11 of 11 papers shown

Zieleziński, Andrzej, Hani Z. Girgis, Guillaume Bernard, et al.. (2019). Benchmarking of alignment-free sequence comparison methods. Genome biology. 20(1). 144–144. 123 indexed citations

Leimeister, Chris-André, et al.. (2019). Read-SpaM: assembly-free and alignment-free comparison of bacterial genomes with low sequencing coverage. BMC Bioinformatics. 20(S20). 638–638. 16 indexed citations

Leimeister, Chris-André, et al.. (2019). ‘Multi-SpaM’: a maximum-likelihood approach to phylogeny reconstruction using multiple spaced-word matches and quartet trees. NAR Genomics and Bioinformatics. 2(1). lqz013–lqz013. 11 indexed citations

Leimeister, Chris-André, et al.. (2018). Prot-SpaM : fast alignment-free phylogeny reconstruction based on whole-proteome sequences. GigaScience. 8(3). 15 indexed citations

Leimeister, Chris-André, et al.. (2018). Accurate multiple alignment of distantly related genome sequences using filtered spaced word matches as anchor points. Bioinformatics. 35(2). 211–218. 7 indexed citations

Morgenstern, Burkhard, et al.. (2017). Phylogeny reconstruction based on the length distribution of k-mismatch common substrings. Algorithms for Molecular Biology. 12(1). 27–27. 8 indexed citations

Leimeister, Chris-André, et al.. (2016). rasbhari: Optimizing Spaced Seeds for Database Searching, Read Mapping and Alignment-Free Sequence Comparison. PLoS Computational Biology. 12(10). e1005107–e1005107. 22 indexed citations

Leimeister, Chris-André, Salma Sohrabi-Jahromi, & Burkhard Morgenstern. (2016). Fast and accurate phylogeny reconstruction using filtered spaced-word matches. Bioinformatics. 33(7). 971–979. 40 indexed citations

Hatje, Klas, et al.. (2014). Spaced words and kmacs: fast alignment-free sequence comparison based on inexact word matches. Nucleic Acids Research. 42(W1). W7–W11. 57 indexed citations

10.

Leimeister, Chris-André & Burkhard Morgenstern. (2014). kmacs: the k -mismatch average common substring approach to alignment-free sequence comparison. Bioinformatics. 30(14). 2000–2008. 70 indexed citations

11.

Leimeister, Chris-André, et al.. (2014). Fast alignment-free sequence comparison using spaced-word frequencies. Bioinformatics. 30(14). 1991–1999. 86 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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