Daniel Arend

974 total citations
19 papers, 379 citations indexed

About

Daniel Arend is a scholar working on Information Systems, Information Systems and Management and Molecular Biology. According to data from OpenAlex, Daniel Arend has authored 19 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Information Systems, 10 papers in Information Systems and Management and 9 papers in Molecular Biology. Recurrent topics in Daniel Arend's work include Scientific Computing and Data Management (10 papers), Research Data Management Practices (10 papers) and Genetic Mapping and Diversity in Plants and Animals (7 papers). Daniel Arend is often cited by papers focused on Scientific Computing and Data Management (10 papers), Research Data Management Practices (10 papers) and Genetic Mapping and Diversity in Plants and Animals (7 papers). Daniel Arend collaborates with scholars based in Germany, Australia and China. Daniel Arend's co-authors include Uwe Scholz, Matthias Lange, Danuta Schüler, Astrid Junker, Jinbo Chen, Christian Colmsee, Andreas Graner, Kerstin Neumann, Jean-Michel Pape and Dijun Chen and has published in prestigious journals such as The Plant Journal, Frontiers in Plant Science and BMC Bioinformatics.

In The Last Decade

Daniel Arend

19 papers receiving 371 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Arend Germany 10 241 121 118 62 56 19 379
Cyril Pommier France 5 161 0.7× 91 0.8× 54 0.5× 32 0.5× 47 0.8× 11 246
Hanna Ćwiek‐Kupczyńska Poland 9 207 0.9× 67 0.6× 49 0.4× 18 0.3× 25 0.4× 15 262
Justin Preece United States 9 188 0.8× 219 1.8× 87 0.7× 19 0.3× 34 0.6× 14 386
Dag Endresen Norway 9 178 0.7× 37 0.3× 76 0.6× 27 0.4× 41 0.7× 28 298
Rosemary Shrestha Mexico 13 312 1.3× 96 0.8× 113 1.0× 27 0.4× 13 0.2× 22 422
Christian Colmsee Germany 6 438 1.8× 268 2.2× 62 0.5× 21 0.3× 17 0.3× 15 599
Markus Oppermann Germany 11 181 0.8× 60 0.5× 93 0.8× 17 0.3× 10 0.2× 17 235
Michaël Alaux France 9 307 1.3× 133 1.1× 104 0.9× 14 0.2× 13 0.2× 13 363
Arllet Portugal Philippines 5 202 0.8× 62 0.5× 81 0.7× 16 0.3× 8 0.1× 6 266
Katica Ilic United States 6 277 1.1× 331 2.7× 112 0.9× 15 0.2× 11 0.2× 7 498

Countries citing papers authored by Daniel Arend

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Arend

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Arend

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

All Works

19 of 19 papers shown
1.
Arend, Daniel, Sebastian Beier, Ehsan Eyshi Rezaei, et al.. (2025). Order from entropy: big data from FAIR data cohorts in the digital age of plant breeding. Theoretical and Applied Genetics. 138(10). 257–257. 1 indexed citations
2.
König, Patrick, Harald von Waldow, Björn Usadel, et al.. (2024). A roadmap for a middleware as a federation service for integrative data retrieval of agricultural data. Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics. 21(3). 2 indexed citations
3.
Castro, Leyla Jael, Juliane Fluck, Daniel Arend, et al.. (2023). Schema.org as a Lightweight Harmonization Approach for NFDI. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1. 1 indexed citations
4.
Arend, Daniel, Uwe Scholz, & Matthias Lange. (2023). The Plant Phenomics and Genomics Research Data Repository: An On-Premise Approach for FAIR-Compliant Data Acquisition. Methods in molecular biology. 2703. 3–22. 1 indexed citations
5.
König, Patrick, et al.. (2022). On the way to plant data commons – a genotyping use case. Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics. 19(4). 2 indexed citations
6.
Arend, Daniel, Danuta Schüler, Jędrzej Szymański, et al.. (2022). From data to knowledge – big data needs stewardship, a plant phenomics perspective. The Plant Journal. 111(2). 335–347. 21 indexed citations
7.
Hensel, Göetz, Michael Melzer, Astrid Junker, et al.. (2021). Mutation of the ALBOSTRIANS Ohnologous Gene HvCMF3 Impairs Chloroplast Development and Thylakoid Architecture in Barley. Frontiers in Plant Science. 12. 732608–732608. 12 indexed citations
8.
Arend, Daniel, Patrick König, Astrid Junker, Uwe Scholz, & Matthias Lange. (2020). The on-premise data sharing infrastructure e!DAL: Foster FAIR data for faster data acquisition. GigaScience. 9(10). 9 indexed citations
9.
König, Patrick, Sebastian Beier, Danuta Schüler, et al.. (2020). BRIDGE – A Visual Analytics Web Tool for Barley Genebank Genomics. Frontiers in Plant Science. 11. 701–701. 23 indexed citations
10.
Schüler, Danuta, Patrick König, Daniel Arend, et al.. (2019). Programmatic Access to FAIRified Digital Plant Genetic Resources. Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics. 16(4). 7 indexed citations
11.
Philipp, Norman, Stéphan Weise, Markus Oppermann, et al.. (2019). Historical phenotypic data from seven decades of seed regeneration in a wheat ex situ collection. Scientific Data. 6(1). 137–137. 14 indexed citations
12.
Chen, Dijun, Rongli Shi, Jean-Michel Pape, et al.. (2018). Predicting plant biomass accumulation from image-derived parameters. GigaScience. 7(2). 62 indexed citations
13.
Weise, Stéphan, Yusheng Zhao, Norman Philipp, et al.. (2018). Unbalanced historical phenotypic data from seed regeneration of a barley ex situ collection. Scientific Data. 5(1). 180278–180278. 13 indexed citations
14.
Bolger, Anthony, Hendrik Poorter, Marie Bolger, et al.. (2018). Computational aspects underlying genome to phenome analysis in plants. The Plant Journal. 97(1). 182–198. 42 indexed citations
15.
Bolger, Marie, Rainer Schwacke, Heidrun Gundlach, et al.. (2017). From plant genomes to phenotypes. Journal of Biotechnology. 261. 46–52. 21 indexed citations
16.
Schmutzer, Thomas, Marie Bolger, Stephen Rudd, et al.. (2017). Bioinformatics in the plant genomic and phenomic domain: The German contribution to resources, services and perspectives. Journal of Biotechnology. 261. 37–45. 7 indexed citations
17.
Arend, Daniel, et al.. (2016). PGP repository: a plant phenomics and genomics data publication infrastructure. Database. 2016. baw033–baw033. 71 indexed citations
18.
Arend, Daniel, et al.. (2014). e!DAL - a framework to store, share and publish research data. BMC Bioinformatics. 15(1). 214–214. 69 indexed citations
19.
Arend, Daniel, et al.. (2012). The e!DAL JAVA-API: Store, share and cite primary data in life sciences. 7. 1–5. 1 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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