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.
Neurophysiological investigation of the basis of the fMRI signal
20014.6k citationsNikos K. Logothetis, J Pauls et al.Natureprofile →
Negative functional MRI response correlates with decreases in neuronal activity in monkey visual area V1
2006696 citationsAmir Shmuel, M Augath et al.Nature Neuroscienceprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of M Augath'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 M Augath with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M Augath more than expected).
This network shows the impact of papers produced by M Augath. 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 M Augath. The network helps show where M Augath may publish in the future.
Co-authorship network of co-authors of M Augath
This figure shows the co-authorship network connecting the top 25 collaborators of M Augath.
A scholar is included among the top collaborators of M Augath 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 M Augath. M Augath is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Kikuchi, Yukiko, et al.. (2008). Voice region connectivity in the monkey assessed with microstimulation and functional imaging. Social Neuroscience.3 indexed citations
9.
Shmuel, Amir, M Augath, A Oeltermann, & NK Logothetis. (2007). Spontaneous fluctuations in functional MRI signal reflect fluctuations in the underlying local neuronal activity. MPG.PuRe (Max Planck Society).5 indexed citations
Murayama, Yusuke, Bruno Weber, Kadharbatcha S. Saleem, M Augath, & Nikos K. Logothetis. (2006). Tracing neural circuits in vivo with Mn-enhanced MRI. Magnetic Resonance Imaging. 24(4). 349–358.68 indexed citations
12.
Shmuel, Amir, M Augath, A Oeltermann, & Nikos K. Logothetis. (2006). Negative functional MRI response correlates with decreases in neuronal activity in monkey visual area V1. Nature Neuroscience. 9(4). 569–577.696 indexed citations breakdown →
Gretton, Arthur, Alexander J. Smola, Olivier Bousquet, et al.. (2005). Kernel Constrained Covariance for Dependence Measurement. Max Planck Institute for Plasma Physics. 112–119.24 indexed citations
Smirnakis, Stelios M., Michael C. Schmid, Alyssa A. Brewer, et al.. (2005). Rewiring the adult brain (Reply). Nature. 438(7065). E3–E4.3 indexed citations
Kourtzi, Zoe, et al.. (2001). fMRI adaptation for visual forms in the monkey brain. MPG.PuRe (Max Planck Society).1 indexed citations
20.
Logothetis, Nikos K., J Pauls, M Augath, T Trinath, & A Oeltermann. (2001). Neurophysiological investigation of the basis of the fMRI signal. Nature. 412(6843). 150–157.4556 indexed citations breakdown →
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.