Guido Kraemer

943 total citations
22 papers, 316 citations indexed

About

Guido Kraemer is a scholar working on Global and Planetary Change, Ecology and Ecological Modeling. According to data from OpenAlex, Guido Kraemer has authored 22 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Global and Planetary Change, 6 papers in Ecology and 5 papers in Ecological Modeling. Recurrent topics in Guido Kraemer's work include Plant Water Relations and Carbon Dynamics (8 papers), Remote Sensing in Agriculture (5 papers) and Species Distribution and Climate Change (5 papers). Guido Kraemer is often cited by papers focused on Plant Water Relations and Carbon Dynamics (8 papers), Remote Sensing in Agriculture (5 papers) and Species Distribution and Climate Change (5 papers). Guido Kraemer collaborates with scholars based in Germany, United States and Spain. Guido Kraemer's co-authors include Miguel D. Mahecha, Markus Reichstein, Susan Trumbore, Alon Angert, Jan Muhr, Jeffrey Q. Chambers, Gustau Camps‐Valls, Robinson Negrón‐Juárez, Eugeni Barkan and Jana Wäldchen and has published in prestigious journals such as Remote Sensing of Environment, Scientific Reports and Global Ecology and Biogeography.

In The Last Decade

Guido Kraemer

21 papers receiving 312 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Guido Kraemer Germany	10	157	77	62	62	57	22	316
Sunil Thapa Nepal	6	168 1.1×	68 0.9×	65 1.0×	42 0.7×	76 1.3×	9	324
Cristina Domingo‐Marimon Spain	10	194 1.2×	145 1.9×	62 1.0×	27 0.4×	62 1.1×	23	392
Barbara Cafarelli Italy	13	141 0.9×	164 2.1×	52 0.8×	90 1.5×	59 1.0×	24	479
Luqi Xing China	10	194 1.2×	188 2.4×	99 1.6×	82 1.3×	37 0.6×	15	393
Harish Chandra Karnatak India	9	91 0.6×	77 1.0×	54 0.9×	19 0.3×	75 1.3×	25	305
Samantha T. Arundel United States	12	103 0.7×	90 1.2×	66 1.1×	24 0.4×	46 0.8×	28	386
Tengyan Liu China	7	164 1.0×	156 2.0×	87 1.4×	74 1.2×	23 0.4×	10	327
Debbie Jewitt South Africa	10	148 0.9×	167 2.2×	104 1.7×	35 0.6×	63 1.1×	16	341
Antonio J. Pérez‐Luque Spain	10	187 1.2×	116 1.5×	88 1.4×	40 0.6×	59 1.0×	44	355
Wim De Winter Netherlands	6	141 0.9×	63 0.8×	141 2.3×	45 0.7×	62 1.1×	12	321

Countries citing papers authored by Guido Kraemer

Since Specialization

Citations

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

Fields of papers citing papers by Guido Kraemer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guido Kraemer

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

All Works

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20 of 20 papers shown

Camps‐Valls, Gustau, Miguel‐Ángel Fernández‐Torres, Fabian Gans, et al.. (2025). DeepExtremeCubes: Earth system spatio-temporal data for assessing compound heatwave and drought impacts. Scientific Data. 12(1). 149–149. 4 indexed citations

Kraemer, Guido, et al.. (2025). The spatiotemporal dynamics of COVID-19 in Europe: time-series clustering maps 5 distinct trajectories to spatial patterns. Population Health Metrics. 23(1). 44–44.

Mahecha, Miguel D., Guido Kraemer, & Fabio Crameri. (2024). Cautionary remarks on the planetary boundary visualisation. Earth System Dynamics. 15(4). 1153–1159. 3 indexed citations

Rzanny, Michael, Jana Wäldchen, Hannes Feilhauer, et al.. (2024). Macrophenological dynamics from citizen science plant occurrence data. Methods in Ecology and Evolution. 15(8). 1422–1437. 7 indexed citations

Montero, David, Guido Kraemer, César Aybar, et al.. (2024). Earth System Data Cubes: Avenues for advancing Earth system research. FreiDok plus (Universitätsbibliothek Freiburg). 3. 5 indexed citations

Estupiñán-Suárez, Lina M., Miguel D. Mahecha, Alexander Brenning, et al.. (2024). Spatial Patterns of Vegetation Activity Related to ENSO in Northern South America. Journal of Geophysical Research Biogeosciences. 129(1). 4 indexed citations

Köhler, Jan, Elisabeth Varga, Stephanie Spahr, et al.. (2024). Unpredicted ecosystem response to compound human impacts in a European river. Scientific Reports. 14(1). 16445–16445. 9 indexed citations

Montero, David, et al.. (2024). On-Demand Earth System Data Cubes. 7529–7532. 2 indexed citations

Joswig, Julia, Jens Kattge, Guido Kraemer, et al.. (2023). Imputing missing data in plant traits: A guide to improve gap‐filling. Global Ecology and Biogeography. 32(8). 1395–1408. 11 indexed citations

10.

Pacheco‐Labrador, Javier, Mirco Migliavacca, Xuanlong Ma, et al.. (2022). Challenging the link between functional and spectral diversity with radiative transfer modeling and data. Remote Sensing of Environment. 280. 113170–113170. 28 indexed citations

11.

Mahecha, Miguel D., Michael Rzanny, Guido Kraemer, et al.. (2021). Crowd‐sourced plant occurrence data provide a reliable description of macroecological gradients. Ecography. 44(8). 1131–1142. 19 indexed citations

12.

Migliavacca, Mirco, Diego G. Miralles, Guido Kraemer, et al.. (2021). Functional convergence of biosphere–atmosphere interactions in response to meteorological conditions. Biogeosciences. 18(7). 2379–2404. 6 indexed citations

13.

Estupiñán-Suárez, Lina M., Alexander Brenning, Fabian Gans, et al.. (2020). Capturing the influence of ENSO on land surface variables for Tropical South America. 1 indexed citations

14.

Mahecha, Miguel D., Fabian Gans, Rune Christiansen, et al.. (2020). Earth system data cubes unravel global multivariate dynamics. Earth System Dynamics. 11(1). 201–234. 65 indexed citations

15.

Kraemer, Guido, Gustau Camps‐Valls, Markus Reichstein, & Miguel D. Mahecha. (2020). Summarizing the state of the terrestrial biosphere in few dimensions. Biogeosciences. 17(9). 2397–2424. 14 indexed citations

16.

Kraemer, Guido, Markus Reichstein, Gustau Camps‐Valls, Jeroen Smits, & Miguel D. Mahecha. (2020). The Low Dimensionality of Development. Social Indicators Research. 150(3). 999–1020. 9 indexed citations

17.

Muhr, Jan, Alon Angert, Robinson Negrón‐Juárez, et al.. (2013). Carbon dioxide emitted from live stems of tropical trees is several years old. Tree Physiology. 33(7). 743–752. 41 indexed citations

18.

Angert, Alon, Jan Muhr, Guido Kraemer, et al.. (2012). Internal respiration of Amazon tree stems greatly exceeds external CO ₂ efflux. Biogeosciences. 9(12). 4979–4991. 40 indexed citations

19.

Angert, Alon, et al.. (2012). The contribution of respiration in tree stems to the Dole Effect. Biogeosciences. 9(10). 4037–4044. 4 indexed citations

20.

Angert, Alon, et al.. (2012). The contribution of respiration in tree-stems to the Dole Effect. 2 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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