Markus Helmer

1.7k citations
12 papers · 800 · 2 hit papers · h-index 8

Impact in

Papers in

Markus Helmer

11 papers receiving 785 citations

Markus Helmer's Hit Papers

Generative modeling of brain maps with spatial autocorrelation 2020 · 257 citations
2570+3+6Years since publication50100150200250

Peers

Markus Helmer
Comparison fields: 5 of 107
  • Cognitive Neuroscience 421
  • Statistics, Probability and Uncertainty 80
  • Gender Studies 93
  • Radiology, Nuclear Medicine and Imaging 156
  • Biological Psychiatry 16
Replace Stéphane Doyen with:
Stéphane Doyen Australia
Dale Zhou United States
Clint Kilts United States
Joshua N. Pritikin United States
Robert J. Jones United States
Granville J. Matheson Sweden
Yuri I. Alexandrov Russia
Margriet A. Groen Netherlands
K. Andrew DeSoto United States
Pontus Plavén‐Sigray Sweden
Markus Helmer relative to Stéphane Doyen Australia Stéphane Doyen's profile →
Citations per field
00.5×10×13.3×
Stéphane Doyen · 1×
Citations per year

Countries citing papers authored by Markus Helmer

Since Specialization
Citations

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

Fields of papers citing papers by Markus Helmer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Markus Helmer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Markus Helmer Line = papers co-authored together Markus Helmer links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1
Generative modeling of brain maps with spatial autocorrelation
Hit paper breakdown →
2020257
2
Gender bias in scholarly peer review
Hit paper breakdown →
2017237
3 2019222
4 202429
5 202121
6 202314
7 20089
8 20247
9 20162
10 20251
11 20201
12 20250

About Markus Helmer

Markus Helmer is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Experimental and Cognitive Psychology, Molecular Biology and Automotive Engineering, having authored 12 papers that have together received 800 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (6 papers), Neural dynamics and brain function (4 papers), Mental Health Research Topics (2 papers), Advanced Neuroimaging Techniques and Applications (2 papers), Gene expression and cancer classification (1 paper), Spatial Cognition and Navigation (1 paper), Bioinformatics and Genomic Networks (1 paper) and Schizophrenia research and treatment (1 paper). The work is most often cited by research in Cognitive Neuroscience (421 citations), Statistics, Probability and Uncertainty (80 citations), Gender Studies (93 citations), Radiology, Nuclear Medicine and Imaging (156 citations) and Biological Psychiatry (16 citations). Markus Helmer has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include John D. Murray, Alan Anticevic, Joshua B. Burt, Demian Battaglia, Manuel Schottdorf, Andreas Neef, Maxwell Shinn, Jie Lisa Ji, Stamatios N. Sotiropoulos and Brendan Adkinson. Their work appears in journals such as Biological Psychiatry, eLife, Neuron, JAMA Psychiatry and Frontiers in Neuroinformatics.

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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