G. Hahn

3.1k total citations · 1 hit paper
63 papers, 2.2k citations indexed

About

G. Hahn is a scholar working on Electrical and Electronic Engineering, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, G. Hahn has authored 63 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Electrical and Electronic Engineering, 23 papers in Surgery and 22 papers in Pulmonary and Respiratory Medicine. Recurrent topics in G. Hahn's work include Electrical and Bioimpedance Tomography (28 papers), Respiratory Support and Mechanisms (18 papers) and Hemodynamic Monitoring and Therapy (18 papers). G. Hahn is often cited by papers focused on Electrical and Bioimpedance Tomography (28 papers), Respiratory Support and Mechanisms (18 papers) and Hemodynamic Monitoring and Therapy (18 papers). G. Hahn collaborates with scholars based in Germany, United Kingdom and United States. G. Hahn's co-authors include Inéz Frerichs, G. Hellige, Michael Quintel, Taras Dudykevych, José Hinz, Peter Herrmann, G. Weisser, H. Burchardi, J. Hinz and Holger Schiffmann and has published in prestigious journals such as Journal of Applied Physiology, Pain and Anesthesiology.

In The Last Decade

G. Hahn

61 papers receiving 2.1k citations

Hit Papers

GREIT: a unified approach to 2D linear EIT reconstruction... 2009 2026 2014 2020 2009 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. Hahn Germany 20 1.4k 1.1k 843 576 466 63 2.2k
Bartłomiej Grychtol Germany 18 1.2k 0.9× 696 0.7× 713 0.8× 488 0.8× 511 1.1× 43 1.8k
Zhanqi Zhao Germany 28 1.5k 1.1× 1.9k 1.8× 1.1k 1.3× 800 1.4× 398 0.9× 167 3.1k
Hervé Gagnon Canada 11 1.1k 0.8× 514 0.5× 489 0.6× 436 0.8× 378 0.8× 21 1.5k
Marc Bodenstein Germany 14 707 0.5× 750 0.7× 471 0.6× 368 0.6× 231 0.5× 29 1.5k
Theo J. C. Faes Netherlands 21 894 0.7× 803 0.8× 665 0.8× 574 1.0× 324 0.7× 43 2.3k
Feng Fu China 26 1.1k 0.8× 253 0.2× 411 0.5× 659 1.1× 267 0.6× 120 1.7k
Taras Dudykevych Germany 14 627 0.5× 538 0.5× 394 0.5× 273 0.5× 168 0.4× 17 980
Sven Pulletz Germany 17 517 0.4× 563 0.5× 400 0.5× 245 0.4× 204 0.4× 41 976
Raúl González Lima Brazil 21 610 0.5× 278 0.3× 242 0.3× 269 0.5× 312 0.7× 47 1.4k
R. Guardo Canada 22 861 0.6× 324 0.3× 406 0.5× 451 0.8× 369 0.8× 72 2.0k

Countries citing papers authored by G. Hahn

Since Specialization
Citations

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

Fields of papers citing papers by G. Hahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Hahn

This figure shows the co-authorship network connecting the top 25 collaborators of G. Hahn. A scholar is included among the top collaborators of G. 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 G. Hahn. G. 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.
Abboud, Tammam, et al.. (2021). An insight into electrical resistivity of white matter and brain tumors. Brain stimulation. 14(5). 1307–1316. 11 indexed citations
2.
Vassalli, Francesco, Iacopo Pasticci, Federica Romitti, et al.. (2020). Does Iso-mechanical Power Lead to Iso-lung Damage?. Anesthesiology. 132(5). 1126–1137. 42 indexed citations
3.
Hahn, G., Tommaso Tonetti, Francesca Rapetti, et al.. (2020). Monitoring lung impedance changes during long-term ventilator-induced lung injury ventilation using electrical impedance tomography. Physiological Measurement. 41(9). 95011–95011. 7 indexed citations
4.
Krause, Ulrich, et al.. (2014). Monitoring of Regional Lung Ventilation Using Electrical Impedance Tomography After Cardiac Surgery in Infants and Children. Pediatric Cardiology. 35(6). 990–997. 19 indexed citations
5.
Herber-Jonat, Susanne, Kerstin Hajek, Rashmi A. Mittal, et al.. (2009). Electrical impedance tomography is able to track changes in respiratory function in endotoxin‐challenged rodents. Respirology. 14(5). 680–688. 3 indexed citations
6.
Adler, Andy, John H. Arnold, Richard Bayford, et al.. (2009). GREIT: a unified approach to 2D linear EIT reconstruction of lung images. Physiological Measurement. 30(6). S35–S55. 516 indexed citations breakdown →
7.
Hedrich, Christian M., et al.. (2008). Chilblain lupus erythematosus—a review of literature. Clinical Rheumatology. 27(10). 1341–1341. 17 indexed citations
8.
Hinz, José, Onnen Moerer, Inéz Frerichs, et al.. (2006). Regional filling characteristics of the lungs in mechanically ventilated patients with acute lung injury. European Journal of Anaesthesiology. 24(5). 414–424. 38 indexed citations
9.
Frerichs, Inéz, et al.. (2004). Distribution of ventilation in young and elderly adults determined by electrical impedance tomography. Respiratory Physiology & Neurobiology. 143(1). 63–75. 39 indexed citations
11.
Hinz, J., G. Hahn, Peter Neumann, et al.. (2003). End-expiratory lung impedance change enables bedside monitoring of end-expiratory lung volume change. Intensive Care Medicine. 29(1). 37–43. 159 indexed citations
12.
Frerichs, Inéz, J. Hinz, Peter Herrmann, et al.. (2002). Regional lung perfusion as determined by electrical impedance tomography in comparison with electron beam CT imaging. IEEE Transactions on Medical Imaging. 21(6). 646–652. 146 indexed citations
13.
Hahn, G., Florian Thiel, Taras Dudykevych, et al.. (2001). Quantitative Evaluation of the Performance of Different Electrical Tomography Devices - Quantitative Evaluierung der Systemeigenschaften verschiedener Elektrotomographie-Geräte. Biomedizinische Technik/Biomedical Engineering. 46(4). 91–95. 24 indexed citations
14.
Schröder, T., et al.. (1999). Optimizing Deconvolution Techniques by the Application of the Münchhausen Meta Algorithm - Optimierung von Entfaltungstechniken durch Anwendung des Münchhausen Meta-Algorithmus. Biomedizinische Technik/Biomedical Engineering. 44(11). 308–313. 1 indexed citations
15.
Frerichs, Inéz, et al.. (1998). Electrical impedance tomography in monitoring experimental lung injury. Intensive Care Medicine. 24(8). 829–836. 57 indexed citations
16.
Hahn, G., et al.. (1997). Effect of respiration and posture on heart rate variability.. PubMed. 46(3). 173–9. 26 indexed citations
17.
Frerichs, Inéz, G. Hahn, & G. Hellige. (1996). Gravity-dependent phenomena in lung ventilation determined by functional EIT. Physiological Measurement. 17(4A). A149–A157. 53 indexed citations
18.
Hahn, G.. (1990). Resonant frequency of the chest-lung system by analysis of the respiratory flow curve. Comparative Biochemistry and Physiology Part A Physiology. 96(4). 499–502. 6 indexed citations
19.
Meyer, Michaël, G. Hahn, & Johannes Piiper. (1989). Pulmonary gas exchange in panting dogs: a model for high frequency ventilation. Acta Anaesthesiologica Scandinavica. 33(s90). 22–27. 6 indexed citations
20.
Veletsos, Anestis S., et al.. (1983). Response Spectrum Approach to Design for Waves. 295–298. 3 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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