Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Review of mechanisms and quantification of priming effects
20002.4k citationsYakov Kuzyakov, Karl Stahr et al.profile →
Soil type and land use intensity determine the composition of arbuscular mycorrhizal fungal communities
This map shows the geographic impact of Karl Stahr'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 Karl Stahr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karl Stahr more than expected).
This network shows the impact of papers produced by Karl Stahr. 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 Karl Stahr. The network helps show where Karl Stahr may publish in the future.
Co-authorship network of co-authors of Karl Stahr
This figure shows the co-authorship network connecting the top 25 collaborators of Karl Stahr.
A scholar is included among the top collaborators of Karl Stahr 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 Karl Stahr. Karl Stahr is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Stahr, Karl, Ellen Kandeler, Ludger Herrmann, & Thilo Streck. (2020). Bodenkunde und Standortlehre.9 indexed citations
2.
Gaiser, Thomas, et al.. (2014). Landscape related variability of physical and chemical soil characteristics in the Moist Savanna of Benin.. International journal of agriscience.. 4(1). 28–48.2 indexed citations
3.
Gaiser, Thomas, et al.. (2012). Accuracy of the land use/cover classification in the Oueme basin of Benin (West Africa).. International journal of agriscience.. 2(2). 174–184.3 indexed citations
Sauer, Daniela, et al.. (2007). Soil formation in marine sediments and beach deposits of southern Norway: investigations of soil chronosequences in the Oslofjord region. SHILAP Revista de lepidopterología.19 indexed citations
8.
Abaidoo, Robert Clement, et al.. (2007). Assessment of past and present soil conservation initiatives in Nigeria, West Africa. CGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research).1 indexed citations
Koch, Inge, et al.. (2001). Erfassung klimarelevanter Spurengase - Klimatisierte Plexiglaskammern zur Messung von Bodenatmung und Spurengasen in ungestörten Pflanzenbeständen. 7(1).1 indexed citations
15.
Stępniewska, Zofia, R. P. Bennicelli, U. Weiß, T. Włodarczyk, & Karl Stahr. (2000). Denitrification rate in soils as affect by their redox conditions. Journal of Water and Land Development. 163–173.3 indexed citations
Kuzyakov, Yakov, et al.. (1999). Abbau der Rückstände von Lolium perenne und dadurch initiierte Priming-Effekte in Böden unterschiedlicher Nutzung. 52(1). 25–34.9 indexed citations
Jahn, Reinhold & Karl Stahr. (1996). Development of soils and site qualities on basic volcanoclastics with special reference to the semiarid environment of Lanzarote, Canary Islands, Spain. SHILAP Revista de lepidopterología.18 indexed citations
20.
Zarei, Mehdi, Reinhold Jahn, & Karl Stahr. (1990). Zeolite formation during the weathering of basalt in Lanzarote.. 62. 157–160.1 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.