Michael Scholz

2.4k total citations · 1 hit paper
50 papers, 1.9k citations indexed

About

Michael Scholz is a scholar working on Cognitive Neuroscience, Economics and Econometrics and Finance. According to data from OpenAlex, Michael Scholz has authored 50 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cognitive Neuroscience, 12 papers in Economics and Econometrics and 9 papers in Finance. Recurrent topics in Michael Scholz's work include Neural dynamics and brain function (14 papers), Visual perception and processing mechanisms (8 papers) and Housing Market and Economics (8 papers). Michael Scholz is often cited by papers focused on Neural dynamics and brain function (14 papers), Visual perception and processing mechanisms (8 papers) and Housing Market and Economics (8 papers). Michael Scholz collaborates with scholars based in Germany, Austria and United States. Michael Scholz's co-authors include George R. Mangun, Wolfgang Burchert, Hermann Hinrichs, H.–J. Heinze, S. Johannes, Thomas F. Münte, Michael Scherg, Steven A. Hillyard, Michael S. Gazzaniga and H. Hundeshagen and has published in prestigious journals such as Nature, PLoS ONE and NeuroImage.

In The Last Decade

Michael Scholz

49 papers receiving 1.8k citations

Hit Papers

align trajectories

What are hit papers?

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.

Combined spatial and temporal imaging of brain activity during visual selective attention in humans

1994 760 citations H.–J. Heinze, George R. Mangun et al. Nature profile →

Peers

Countries citing papers authored by Michael Scholz

Since Specialization

Citations

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

Fields of papers citing papers by Michael Scholz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Scholz

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Scholz. A scholar is included among the top collaborators of Michael Scholz 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 Michael Scholz. Michael Scholz 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

#	Work	Indexed citations
1	The Effects of Different Phase on Independent Visual Fields SSVEP Responses 2025 ·IEEE Transactions on Neural Systems and Rehabilitation Engineering ·(unknown), (unknown), Xinzhou Xie, Michael Scholz, (unknown)	1
2	Short-Term Exuberance and Long-Term Stability: A Simultaneous Optimization of Stock Return Predictions for Short and Long Horizons 2021 ·Mathematics ·Ioannis Kyriakou, (unknown), Jens Perch Nielsen, Michael Scholz	4
3	Longer-Term Forecasting of Excess Stock Returns—The Five-Year Case 2020 ·Mathematics ·Ioannis Kyriakou, (unknown), Jens Perch Nielsen, Michael Scholz	5
4	Comparison between a wireless dry electrode EEG system with a conventional wired wet electrode EEG system for clinical applications 2020 ·Scientific Reports ·Hermann Hinrichs, Michael Scholz, (unknown), Julia W. Y. Kam, Robert T. Knight, Hans‐Jochen Heinze	151
5	Higher frequency hedonic property price indices: a state-space approach 2020 ·Empirical Economics ·Robert Hill, Alicia N. Rambaldi, Michael Scholz	6
6	Eignung eines mobilen Trockenelektroden-EEG-Gerätes im Rahmen der Epilepsiediagnostik 2020 ·Klinische Neurophysiologie ·Ulrike Baum, (unknown), (unknown), H. Feistner, Michael Scholz, (unknown), Hermann Hinrichs, Bernt‐Peter Robra, Thomas Neumann	6
7	Forecasting benchmarks of long-term stock returns via machine learning 2019 ·Annals of Operations Research ·Ioannis Kyriakou, (unknown), Jens Perch Nielsen, Michael Scholz	26
8	Repetition Suppression versus Enhancement--It's Quantity That Matters 2012 ·Cerebral Cortex ·N. Müller, (unknown), Michael Scholz, Bernhard Baier, Lucía Melloni	50
9	Event-related functional magnetic resonance imaging (efMRI) of depth-by-disparity perception: additional evidence for right-hemispheric lateralization 2009 ·Experimental Brain Research ·Sebastian Baecke, Ralf Lützkendorf, Claus Tempelmann, Charles Müller, Daniela Adolf, Michael Scholz, Johannes Bernarding	9
10	Early, partly anticipatory, neural oscillations during identification set the stage for priming 2005 ·NeuroImage ·Emrah Düzel, Alan Richardson‐Klavehn, Markus Neufang, Björn H. Schott, Michael Scholz, Hans‐Jochen Heinze	21
11	Quantile estimation to derive optimized test thresholds for random field statistics 2005 ·NeuroImage ·Hermann Hinrichs, Michael Scholz, Toemme Noesselt, H.–J. Heinze	2
12	Nonlinear Filtering of Electron Micrographs by Means of Support Vector Regression 2003 ·Neural Information Processing Systems ·Roland Vollgraf, Michael Scholz, Ian A. Meinertzhagen, Klaus Obermayer	3
13	A new point-based warping method for enhanced and simplified analysis of functional brain image data☆ 2003 ·NeuroImage ·Rainer Pielot, Michael Scholz, Klaus Obermayer, Henning Scheich, Eckart D. Gundelfinger, Andreas Heß	2
14	A multivariate, spatiotemporal analysis of electromagnetic time-frequency data of recognition memory 2003 ·NeuroImage ·Emrah Düzel, R. Habib, Björn H. Schott, Mircea Ariel Schoenfeld, Nancy J. Lobaugh, Anthony R. McIntosh, Michael Scholz, HJ Heinze	124
15	Integrating electrophysiology and neuroimaging of spatial selective attention to simple isolated visual stimuli 2001 ·Vision Research ·George R. Mangun, Hermann Hinrichs, Michael Scholz, H.-W. Mueller-Gaertner, Hans Herzog, Bernd J. Krause, (unknown), Lars Kemna, H.–J. Heinze	59
16	Correction methods for three-dimensional reconstructions from confocal images: I. tissue shrinking and axial scaling 2000 ·Journal of Neuroscience Methods ·Dirk Bucher, Michael Scholz, M. Stetter, Klaus Obermayer, Hans‐Joachim Pflüger	83
17	A model for the depth-dependence of receptive field size and contrast sensitivity of cells in layer 4C of macaque striate cortex 1999 ·Vision Research ·Ute Bauer, Michael Scholz, Jonathan B. Levitt, Klaus Obermayer, Jennifer S. Lund	19
18	Large scale experiments for in situ flushing using groundwater circulation wells : identification of processes and limiting parameters 1998 ·IAHS-AISH publication ·Michael Scholz, (unknown), (unknown), T. I. Eldho	4
19	Flow Simulation Of A System Of GroundwaterCirculation Well And Pumping Well For NAPLSite Remediation 1998 ·WIT Transactions on Ecology and the Environment ·Jürgen Stamm, T. I. Eldho, Michael Scholz	5
20	Combined spatial and temporal imaging of brain activity during visual selective attention in humans breakdown → 1994 ·Nature ·H.–J. Heinze, George R. Mangun, Wolfgang Burchert, (unknown), Michael Scholz, Thomas F. Münte, (unknown), Michael Scherg, S. Johannes, H. Hundeshagen, Michael S. Gazzaniga, Steven A. Hillyard	760

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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