This map shows the geographic impact of G. Krueger'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 G. Krueger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Krueger more than expected).
This network shows the impact of papers produced by G. Krueger. 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 G. Krueger. The network helps show where G. Krueger may publish in the future.
Co-authorship network of co-authors of G. Krueger
This figure shows the co-authorship network connecting the top 25 collaborators of G. Krueger.
A scholar is included among the top collaborators of G. Krueger 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 G. Krueger. G. Krueger is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Daducci, Alessandro, Jean‐Philippe Thiran, Reto Meuli, et al.. (2014). Tract-based assessment of the subcortical motor network plasticity after stroke. 4154–4154.1 indexed citations
Marques, José P., et al.. (2009). MP2RAGE contrast optimization at 7T and applications. Infoscience (Ecole Polytechnique Fédérale de Lausanne).2 indexed citations
9.
Kober, Tobias, et al.. (2008). MP2RAGE, a self-bias field corrected sequence for improved segmentation at high field. Infoscience (Ecole Polytechnique Fédérale de Lausanne).3 indexed citations
Heidemann, Robin M., Mark A. Griswold, G. Krueger, et al.. (2004). Fast parallel image reconstructions for spiral trajectories. Max Planck Digital Library.6 indexed citations
12.
Krueger, G., et al.. (2003). Compensation of dielectric resonance effects by means of composite excitation pulses.10 indexed citations
13.
Linder, Roland, et al.. (2002). Generation of classification criteria for chronic fatigue syndrome using an artificial neural network and traditional criteria set.. PubMed. 16(1). 37–43.15 indexed citations
14.
Krueger, G., L. Maximilian Buja, P. Michielsen, et al.. (1999). Diagnostic and clinical aspects.6 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.