Xenia Specka

1.5k total citations
10 papers, 232 citations indexed

About

Xenia Specka is a scholar working on Ecology, Evolution, Behavior and Systematics, Soil Science and Plant Science. According to data from OpenAlex, Xenia Specka has authored 10 papers receiving a total of 232 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Ecology, Evolution, Behavior and Systematics, 5 papers in Soil Science and 5 papers in Plant Science. Recurrent topics in Xenia Specka's work include Soil Carbon and Nitrogen Dynamics (5 papers), Climate change impacts on agriculture (5 papers) and Research Data Management Practices (3 papers). Xenia Specka is often cited by papers focused on Soil Carbon and Nitrogen Dynamics (5 papers), Climate change impacts on agriculture (5 papers) and Research Data Management Practices (3 papers). Xenia Specka collaborates with scholars based in Germany, Türkiye and Belgium. Xenia Specka's co-authors include Claas Nendel, Ralf Wieland, Wilfried Mirschel, Kurt Christian Kersebaum, Martin Wegehenkel, K.-O. Wenkel, Michael Berg, Monika Heiermann, Philipp Gärtner and Janine Müller and has published in prestigious journals such as Field Crops Research, Ecological Modelling and Soil and Tillage Research.

In The Last Decade

Xenia Specka

9 papers receiving 227 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xenia Specka Germany 7 108 100 67 65 56 10 232
Eric J. Zurcher Australia 5 119 1.1× 128 1.3× 91 1.4× 76 1.2× 63 1.1× 9 277
K.A. Dzotsi United States 8 114 1.1× 143 1.4× 80 1.2× 72 1.1× 71 1.3× 8 260
K.-O. Wenkel Germany 8 121 1.1× 121 1.2× 77 1.1× 85 1.3× 78 1.4× 13 284
Iffat Ara Australia 11 98 0.9× 92 0.9× 53 0.8× 37 0.6× 90 1.6× 21 317
Anton Urfels United States 7 120 1.1× 118 1.2× 72 1.1× 49 0.8× 57 1.0× 23 267
Tim McClelland Australia 4 150 1.4× 148 1.5× 87 1.3× 104 1.6× 46 0.8× 5 275
Anna Hampf Germany 9 75 0.7× 172 1.7× 92 1.4× 46 0.7× 81 1.4× 13 371
Leonardo Amaral Monteiro Brazil 10 47 0.4× 145 1.4× 85 1.3× 44 0.7× 83 1.5× 22 334
Christopher Graham United States 8 61 0.6× 100 1.0× 74 1.1× 59 0.9× 23 0.4× 20 202
Rojalin Tripathy India 10 92 0.9× 140 1.4× 77 1.1× 47 0.7× 82 1.5× 13 293

Countries citing papers authored by Xenia Specka

Since Specialization
Citations

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

Fields of papers citing papers by Xenia Specka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xenia Specka

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

All Works

10 of 10 papers shown
1.
Lachmuth, Susanne, Cenk Dönmez, Carsten Hoffmann, et al.. (2025). Facilitating Effective Reuse of Soil Research Data: The  BonaRes Repository. European Journal of Soil Science. 76(2).
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.
Specka, Xenia, Claas Nendel, & Ralf Wieland. (2019). Temporal Sensitivity Analysis of the MONICA Model: Application of Two Global Approaches to Analyze the Dynamics of Parameter Sensitivity. Agriculture. 9(2). 37–37. 10 indexed citations
4.
Specka, Xenia, et al.. (2019). The BonaRes metadata schema for geospatial soil-agricultural research data – Merging INSPIRE and DataCite metadata schemes. Computers & Geosciences. 132. 33–41. 14 indexed citations
5.
Specka, Xenia, Joachim Aurbacher, Christiane Herrmann, et al.. (2016). The MiLA tool: Modeling greenhouse gas emissions and cumulative energy demand of energy crop cultivation in rotation. Agricultural Systems. 152. 67–79. 16 indexed citations
6.
Specka, Xenia, Claas Nendel, Ulrike Hagemann, et al.. (2015). Reproducing CO2 exchange rates of a crop rotation at contrasting terrain positions using two different modelling approaches. Soil and Tillage Research. 156. 219–229. 6 indexed citations
7.
Specka, Xenia, Claas Nendel, & Ralf Wieland. (2015). Analysing the parameter sensitivity of the agro-ecosystem model MONICA for different crops. European Journal of Agronomy. 71. 73–87. 32 indexed citations
8.
Wieland, Ralf, Wilfried Mirschel, Claas Nendel, & Xenia Specka. (2013). Dynamic fuzzy models in agroecosystem modeling. Environmental Modelling & Software. 46. 44–49. 7 indexed citations
9.
Nendel, Claas, et al.. (2013). Simulating regional winter wheat yields using input data of different spatial resolution. Field Crops Research. 145. 67–77. 19 indexed citations
10.
Nendel, Claas, Michael Berg, Kurt Christian Kersebaum, et al.. (2011). The MONICA model: Testing predictability for crop growth, soil moisture and nitrogen dynamics. Ecological Modelling. 222(9). 1614–1625. 126 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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