Patrick Hagmann

875 citations
8 papers · 556 · h-index 5

Impact in

Papers in

Patrick Hagmann

8 papers receiving 555 citations

Peers

Patrick Hagmann
Comparison fields: 5 of 59
  • Cognitive Neuroscience 484
  • Radiology, Nuclear Medicine and Imaging 184
  • Cellular and Molecular Neuroscience 54
  • Experimental and Cognitive Psychology 34
  • Statistical and Nonlinear Physics 20
Replace Enrique C. A. Hansen with:
Enrique C. A. Hansen France
Luca Ciancetta Italy
Lia Domide France
Onerva Korhonen Finland
Young-Ah Rho United States
James Christopher S. Pang Australia
Amy Frithsen United States
Farras Abdelnour United States
Hannelore Aerts Belgium
Matthew J. Aburn Australia
Patrick Hagmann relative to Enrique C. A. Hansen France Enrique C. A. Hansen's profile →
Citations per field
00.5×1.6×
Enrique C. A. Hansen · 1×
Citations per year

Countries citing papers authored by Patrick Hagmann

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Hagmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Patrick Hagmann, 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 Patrick Hagmann Line = papers co-authored together Patrick Hagmann links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2014275
2 2014125
3 200967
4 201363
5 201517
6 20094
7
SWISSMETRO - Polarized Linear Motor Combined With Levitation Actuators
20053
8
Predicting Resting-State Functional Connectivity from Structural Connectivity
20092

About Patrick Hagmann

Patrick Hagmann is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Computational Theory and Mathematics, Pediatrics, Perinatology and Child Health and Control and Systems Engineering, having authored 8 papers that have together received 556 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (6 papers), Neural dynamics and brain function (3 papers), Advanced Neuroimaging Techniques and Applications (2 papers), Magnetic Bearings and Levitation Dynamics (1 paper), Computational Drug Discovery Methods (1 paper), Magnetic Field Sensors Techniques (1 paper), Traumatic Brain Injury Research (1 paper) and Neonatal and fetal brain pathology (1 paper). The work is most often cited by research in Cognitive Neuroscience (484 citations), Radiology, Nuclear Medicine and Imaging (184 citations), Cellular and Molecular Neuroscience (54 citations), Experimental and Cognitive Psychology (34 citations) and Statistical and Nonlinear Physics (20 citations). Patrick Hagmann has collaborated with scholars based in Switzerland, Spain and United States. Frequent co-authors include Gustavo Deco, Dante Mantini, Adrián Ponce‐Alvarez, Maurizio Corbetta, Gian Luca Romani, Anthony Randal McIntosh, Rolf Kötter, Mikail Rubinov, Olaf Sporns and Anthony G. Hudetz. Their work appears in journals such as Journal of Neuroscience, NeuroImage, Cerebral Cortex, IRIS and Infoscience (Ecole Polytechnique Fédérale de Lausanne).

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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