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.
Comparison of different efficiency criteria for hydrological model assessment
This map shows the geographic impact of Peter Krause'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 Peter Krause with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Krause more than expected).
This network shows the impact of papers produced by Peter Krause. 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 Peter Krause. The network helps show where Peter Krause may publish in the future.
Co-authorship network of co-authors of Peter Krause
This figure shows the co-authorship network connecting the top 25 collaborators of Peter Krause.
A scholar is included among the top collaborators of Peter Krause 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 Peter Krause. Peter Krause is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Schmitt, Sebastian, et al.. (2019). Anomaly Detection in Univariate Time Series: An Empirical Comparison of Machine Learning Algorithms.. 161–175.5 indexed citations
Gloaguen, Richard, et al.. (2013). Water Balance Modelling in a Semi-Arid Environment Using Remote Sensing, Lake Manyara, East African Rift, Tanzania. EGUGA.1 indexed citations
11.
Lloyd, Wes, Olaf David, James C. Ascough, et al.. (2009). An exploratory investigation on the invasiveness of environmental modeling frameworks. University of Washington Tacoma Digital Commons (University of Washington Tacoma).1 indexed citations
12.
Wolf, Markus, et al.. (2009). Development of an extended spatially distributed routing scheme and its impact on process oriented hydrological modelling results. IAHS-AISH publication. 37–43.8 indexed citations
13.
Krause, Peter, et al.. (2008). Linkage Of A Finite Element Flow Model With A Soil Moisture Model: Challanges Under Semiarid Conditions. AGU Fall Meeting Abstracts. 2008.1 indexed citations
14.
Krause, Peter, et al.. (2007). Operating characteristics of the cargo turbopump. Problemy Eksploatacji. 121–128.2 indexed citations
Villa, Ferdinando, et al.. (2006). Declarative modelling for architecture independence and data/model integration: a case study. Socio-Environmental Systems Modeling.8 indexed citations
17.
Krause, Peter, Sven Kralisch, & W.-A. Flügel. (2005). <i>Preface</i> <br>Model integration and development of modular modelling systems. SHILAP Revista de lepidopterología.11 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.