Klaus Hahn

841 total citations
26 papers, 593 citations indexed

About

Klaus Hahn is a scholar working on Radiology, Nuclear Medicine and Imaging, Pediatrics, Perinatology and Child Health and Cognitive Neuroscience. According to data from OpenAlex, Klaus Hahn has authored 26 papers receiving a total of 593 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Pediatrics, Perinatology and Child Health and 5 papers in Cognitive Neuroscience. Recurrent topics in Klaus Hahn's work include Advanced Neuroimaging Techniques and Applications (12 papers), Advanced MRI Techniques and Applications (6 papers) and Fetal and Pediatric Neurological Disorders (5 papers). Klaus Hahn is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (12 papers), Advanced MRI Techniques and Applications (6 papers) and Fetal and Pediatric Neurological Disorders (5 papers). Klaus Hahn collaborates with scholars based in Germany, Russia and United States. Klaus Hahn's co-authors include Dorothee P. Auer, Valerij G. Kiselev, Khader M. Hasan, S. M. Prigarin, Indika S. Walimuni, Karsten Rodenacker, Gerhard Winkler, Kurt H. Bockhorst, Ponnada A. Narayana and J. Wosik and has published in prestigious journals such as NeuroImage, Magnetic Resonance in Medicine and BMC Bioinformatics.

In The Last Decade

Klaus Hahn

24 papers receiving 579 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Klaus Hahn Germany 11 307 178 100 54 51 26 593
Juan Ruiz de Miras Spain 12 157 0.5× 259 1.5× 86 0.9× 59 1.1× 65 1.3× 44 638
Issel Anne L. Lim United States 9 456 1.5× 232 1.3× 61 0.6× 70 1.3× 45 0.9× 10 756
Marianna La Rocca Italy 14 200 0.7× 177 1.0× 69 0.7× 55 1.0× 153 3.0× 51 716
Luduan Zhang United States 10 244 0.8× 201 1.1× 20 0.2× 44 0.8× 31 0.6× 12 501
Anne‐Marie van Cappellen van Walsum Netherlands 18 421 1.4× 444 2.5× 119 1.2× 84 1.6× 96 1.9× 30 1.1k
Annemie Ribbens Belgium 14 265 0.9× 142 0.8× 32 0.3× 67 1.2× 134 2.6× 37 752
Ziliang Zhu United States 11 168 0.5× 185 1.0× 46 0.5× 197 3.6× 62 1.2× 21 733
Emma Lewis United Kingdom 13 313 1.0× 100 0.6× 46 0.5× 30 0.6× 112 2.2× 55 602
Christoff Gössl Germany 9 272 0.9× 172 1.0× 40 0.4× 36 0.7× 36 0.7× 13 566
F. Işık Karahanoğlu United States 17 323 1.1× 741 4.2× 43 0.4× 51 0.9× 95 1.9× 46 1.2k

Countries citing papers authored by Klaus Hahn

Since Specialization
Citations

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

Fields of papers citing papers by Klaus Hahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Klaus Hahn

This figure shows the co-authorship network connecting the top 25 collaborators of Klaus Hahn. A scholar is included among the top collaborators of Klaus Hahn 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 Klaus Hahn. Klaus Hahn 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.
Hahn, Klaus, Peter Massopust, & S. M. Prigarin. (2016). A new method to measure complexity in binary or weighted networks and applications to functional connectivity in the human brain. BMC Bioinformatics. 17(1). 87–87. 11 indexed citations
2.
3.
Hahn, Klaus, S. M. Prigarin, & Khader M. Hasan. (2012). Fitting of two-tensor models without ad hoc assumptions to detect crossing fibers using clinical DWI data. Magnetic Resonance Imaging. 31(4). 585–595. 4 indexed citations
4.
Prigarin, S. M., Klaus Hahn, & Gerhard Winkler. (2011). Estimation of fractal dimension of random fields on the basis of variance analysis of increments. Numerical Analysis and Applications. 4(1). 71–80. 1 indexed citations
5.
Hasan, Khader M., et al.. (2010). A review of diffusion tensor magnetic resonance imaging computational methods and software tools. Computers in Biology and Medicine. 41(12). 1062–1072. 67 indexed citations
6.
Shao, Junming, Klaus Hahn, Qinli Yang, et al.. (2010). Hierarchical Density-Based Clustering of White Matter Tracts in the Human Brain. RePEc: Research Papers in Economics. 1(4). 1–25. 7 indexed citations
7.
Shao, Junming, Klaus Hahn, Qinli Yang, et al.. (2010). Combining Time Series Similarity with Density-Based Clustering to Identify Fiber Bundles in the Human Brain. Site cant be reached. 747–754. 8 indexed citations
8.
Bockhorst, Kurt H., Ponnada A. Narayana, Jennifer N. Dulin, et al.. (2009). Normobaric hyperoximia increases hypoxia‐induced cerebral injury: DTI study in rats. Journal of Neuroscience Research. 88(5). 1146–1156. 12 indexed citations
9.
Hahn, Klaus & Sabine Fischer. (2009). Der Depletionstest mit123Iod zur Diagnose des Pendred-Syndroms bei Kindern. Der Nuklearmediziner. 32(1). 17–18.
10.
Prigarin, S. M., Klaus Hahn, & Gerhard Winkler. (2009). Variational dimension of random sequences and its application. Numerical Analysis and Applications. 2(4). 352–363. 2 indexed citations
11.
Bockhorst, Kurt H., Ponnada A. Narayana, Jaivijay Ramu, et al.. (2008). Early postnatal development of rat brain: In vivo diffusion tensor imaging. Journal of Neuroscience Research. 86(7). 1520–1528. 137 indexed citations
12.
13.
Hahn, Klaus, et al.. (2004). Assessing DTI data quality using bootstrap analysis. Magnetic Resonance in Medicine. 52(3). 582–589. 40 indexed citations
14.
Kiselev, Valerij G., Klaus Hahn, & Dorothee P. Auer. (2003). Is the brain cortex a fractal?. NeuroImage. 20(3). 1765–1774. 126 indexed citations
15.
Hahn, Klaus, Karsten Rodenacker, & Dorothee P. Auer. (2001). Cortex homogenization for intensity segmentation — an alternative. NeuroImage. 13(6). 141–141. 1 indexed citations
16.
Winkler, Gerhard, Klaus Hahn, & Volker Aurich. (1998). A Brief Survey of Recent Edge-Preserving Smoothers. Open access LMU (Ludwid Maxmilian's Universitat Munchen). 2 indexed citations
17.
Dresel, S., et al.. (1998). Diagnostik des »Sentinel Lymph Node« bei malignem Melanom: präoperative Lymphszintigraphie und intraoperative Sondenmessung. Nuklearmedizin - NuclearMedicine. 37(5). 177–182. 3 indexed citations
18.
Baumeister, R. G. H., et al.. (1996). Lymphsequenzszintigraphie für die nichtinvasive Langzeitbeobachtung des funktionellen Therapieerfolges nach Transplantation autologer Lymphgefäße. Nuklearmedizin - NuclearMedicine. 35(6). 236–242. 4 indexed citations
19.
Hahn, Klaus, et al.. (1981). [The diagnosis of the Pendred syndrome in children by the perchlorate discharge test with 123I (author's transl)].. PubMed. 29(3). 95–7. 1 indexed citations
20.
Mundinger, F. & Klaus Hahn. (1972). Direct Measurements of the Partial Oxygen Tension in Different Cortical and Subcortical Structures of the Brain and in Gliomas during Stereotactic Operation. Stereotactic and Functional Neurosurgery. 34(1-4). 106–111. 18 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.

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