Daniel Güllmar

2.0k total citations
69 papers, 1.5k citations indexed

About

Daniel Güllmar is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Psychiatry and Mental health. According to data from OpenAlex, Daniel Güllmar has authored 69 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Radiology, Nuclear Medicine and Imaging, 29 papers in Cognitive Neuroscience and 9 papers in Psychiatry and Mental health. Recurrent topics in Daniel Güllmar's work include Advanced Neuroimaging Techniques and Applications (33 papers), Advanced MRI Techniques and Applications (26 papers) and Functional Brain Connectivity Studies (24 papers). Daniel Güllmar is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (33 papers), Advanced MRI Techniques and Applications (26 papers) and Functional Brain Connectivity Studies (24 papers). Daniel Güllmar collaborates with scholars based in Germany, United States and Austria. Daniel Güllmar's co-authors include Jürgen R. Reichenbach, Jens Haueisen, Gerd Wagner, Ralf G.M. Schlösser, Kathrin Koch, C. Christoph Schultz, Heinrich Sauer, Claudia Schachtzabel, Igor Nenadić and Hans‐Joachim Mentzel and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.

In The Last Decade

Daniel Güllmar

65 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel Güllmar Germany 21 730 596 165 137 133 69 1.5k
Joo Hyun Song United States 5 893 1.2× 631 1.1× 196 1.2× 145 1.1× 138 1.0× 7 1.8k
Anand A. Joshi United States 25 843 1.2× 939 1.6× 171 1.0× 135 1.0× 133 1.0× 131 2.0k
Johannes M. Hoogduin Netherlands 21 852 1.2× 739 1.2× 147 0.9× 149 1.1× 48 0.4× 41 1.9k
Lirong Yan United States 25 866 1.2× 604 1.0× 115 0.7× 192 1.4× 50 0.4× 84 1.7k
Vitria Adisetiyo United States 11 734 1.0× 527 0.9× 234 1.4× 104 0.8× 166 1.2× 20 1.4k
Alain Pitiot United Kingdom 24 784 1.1× 589 1.0× 238 1.4× 109 0.8× 206 1.5× 57 2.4k
Birkan Tunç United States 15 800 1.1× 632 1.1× 224 1.4× 79 0.6× 154 1.2× 48 1.5k
Cornelius Hojatkashani United States 7 478 0.7× 556 0.9× 191 1.2× 102 0.7× 82 0.6× 8 1.2k
Gracián García‐Martí Spain 18 488 0.7× 368 0.6× 235 1.4× 93 0.7× 61 0.5× 59 1.4k
Salima Makni France 6 1.1k 1.5× 1.1k 1.9× 283 1.7× 61 0.4× 157 1.2× 7 2.1k

Countries citing papers authored by Daniel Güllmar

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Güllmar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Güllmar

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Güllmar. A scholar is included among the top collaborators of Daniel Güllmar 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 Daniel Güllmar. Daniel Güllmar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Bruña, Ricardo, et al.. (2025). Characterization of transient events during intermittent photic stimulation. NeuroImage. 323. 121587–121587.
2.
Krämer, Martin, et al.. (2024). Assessment of training-associated changes of the lumbar back muscle using a multiparametric MRI protocol. Frontiers in Physiology. 15. 1408244–1408244.
3.
Güllmar, Daniel, et al.. (2022). Investigation of biases in convolutional neural networks for semantic segmentation using performance sensitivity analysis. Zeitschrift für Medizinische Physik. 32(3). 346–360. 5 indexed citations
4.
Shadaydeh, Maha, Sebastian Böcker, Bernd Brügmann, et al.. (2020). A virtual “Werkstatt” for digitization in the sciences. SHILAP Revista de lepidopterología. 6. 2 indexed citations
5.
Ropele, Stefan, et al.. (2020). Investigation of Deep-Learning-Driven Identification of Multiple Sclerosis Patients Based on Susceptibility-Weighted Images Using Relevance Analysis. Frontiers in Neuroscience. 14. 609468–609468. 29 indexed citations
6.
Nenadić, Igor, et al.. (2020). Diffusion tensor imaging in borderline personality disorder showing prefrontal white matter alterations. Comprehensive Psychiatry. 101. 152172–152172. 8 indexed citations
7.
Wolfram, Frank, Daniel Güllmar, Joachim Böttcher, et al.. (2019). Assessment of MR imaging during one-lung flooding in a large animal model. Magnetic Resonance Materials in Physics Biology and Medicine. 32(5). 581–590. 4 indexed citations
8.
Deistung, Andreas, et al.. (2018). Analysis of intensity normalization for optimal segmentation performance of a fully convolutional neural network. Zeitschrift für Medizinische Physik. 29(2). 128–138. 19 indexed citations
9.
Schubert, Harald, et al.. (2016). One-lung flooding reduces the ipsilateral diaphragm motion during mechanical ventilation. European journal of medical research. 21(1). 9–9. 7 indexed citations
10.
Strohmeier, Daniel, Martin Luessi, Daniel Güllmar, et al.. (2015). Real-Time MEG Source Localization Using Regional Clustering. Brain Topography. 28(6). 771–784. 15 indexed citations
11.
Herrmann, Karl‐Heinz, et al.. (2014). 3D printing of MRI compatible components: Why every MRI research group should have a low-budget 3D printer. Medical Engineering & Physics. 36(10). 1373–1380. 74 indexed citations
12.
Nenadić, Igor, et al.. (2014). Brain structure in narcissistic personality disorder: A VBM and DTI pilot study. Psychiatry Research Neuroimaging. 231(2). 184–186. 32 indexed citations
13.
Güllmar, Daniel, et al.. (2013). Atlas-Guided Cluster Analysis of Large Tractography Datasets. PLoS ONE. 8(12). e83847–e83847. 25 indexed citations
14.
Koch, Kathrin, Gerd Wagner, Claudia Schachtzabel, et al.. (2012). Age-dependent visuomotor performance and white matter structure: a DTI study. Brain Structure and Function. 218(5). 1075–1084. 11 indexed citations
15.
Koch, Kathrin, Gerd Wagner, Robert Dahnke, et al.. (2010). Structure-function relationships in the context of reinforcement-related learning: a combined diffusion tensor imaging–functional magnetic resonance imaging study. Neuroscience. 168(1). 190–199. 19 indexed citations
16.
Gussew, Alexander, R. Rzanny, Daniel Güllmar, Hans‐Christoph Scholle, & Jürgen R. Reichenbach. (2010). WITHDRAWN: Erratum to “1H-MR spectroscopic detection of metabolic changes in pain processing brain regions in the presence of non-specific chronic low back pain” [NeuroImage 54/2 (2011) 1315–1323]. NeuroImage. 1 indexed citations
17.
Löbel, Ulrike, Jan Sedlacik, Daniel Güllmar, et al.. (2009). Diffusion tensor imaging: the normal evolution of ADC, RA, FA, and eigenvalues studied in multiple anatomical regions of the brain. Neuroradiology. 51(4). 253–263. 91 indexed citations
18.
Koch, Kathrin, Gerd Wagner, Robert Dahnke, et al.. (2009). Disrupted white matter integrity of corticopontine-cerebellar circuitry in schizophrenia. European Archives of Psychiatry and Clinical Neuroscience. 260(5). 419–426. 42 indexed citations
19.
Schlösser, Ralf G.M., Igor Nenadić, Gerd Wagner, et al.. (2006). White matter abnormalities and brain activation in schizophrenia: A combined DTI and fMRI study. Schizophrenia Research. 89(1-3). 1–11. 129 indexed citations
20.
Güllmar, Daniel, Jens Haueisen, M. Eiselt, et al.. (2006). Influence of anisotropic conductivity on EEG source reconstruction: investigations in a rabbit model. IEEE Transactions on Biomedical Engineering. 53(9). 1841–1850. 41 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Joo Hyun Song Breakdown of academic impact, for papers by Anand A. Joshi Breakdown of academic impact, for papers by Johannes M. Hoogduin Breakdown of academic impact, for papers by Lirong Yan Breakdown of academic impact, for papers by Vitria Adisetiyo Breakdown of academic impact, for papers by Alain Pitiot Breakdown of academic impact, for papers by Birkan Tunç Breakdown of academic impact, for papers by Cornelius Hojatkashani Breakdown of academic impact, for papers by Gracián García‐Martí Breakdown of academic impact, for papers by Salima Makni
Rankless by CCL
2026