Gerald Pichler

758 total citations
23 papers, 543 citations indexed

About

Gerald Pichler is a scholar working on Epidemiology, Cognitive Neuroscience and Emergency Medicine. According to data from OpenAlex, Gerald Pichler has authored 23 papers receiving a total of 543 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Epidemiology, 12 papers in Cognitive Neuroscience and 10 papers in Emergency Medicine. Recurrent topics in Gerald Pichler's work include Traumatic Brain Injury Research (15 papers), EEG and Brain-Computer Interfaces (11 papers) and Cardiac Arrest and Resuscitation (10 papers). Gerald Pichler is often cited by papers focused on Traumatic Brain Injury Research (15 papers), EEG and Brain-Computer Interfaces (11 papers) and Cardiac Arrest and Resuscitation (10 papers). Gerald Pichler collaborates with scholars based in Austria, Germany and Belgium. Gerald Pichler's co-authors include Manuel Schabus, Julia Lechinger, Johann Donis, Gabriele Michitsch, Wolfgang Klimesch, Renata del Giudice, Gernot Müller-Putz, Christine Blume, E. Kochs and Denis Jordan and has published in prestigious journals such as PLoS ONE, Neurology and Scientific Reports.

In The Last Decade

Gerald Pichler

22 papers receiving 535 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gerald Pichler Austria 13 321 295 138 104 90 23 543
Johann Donis Austria 10 205 0.6× 235 0.8× 114 0.8× 87 0.8× 68 0.8× 14 395
Gabriele Michitsch Austria 9 204 0.6× 204 0.7× 96 0.7× 73 0.7× 60 0.7× 10 357
Guya Devalle Italy 7 355 1.1× 183 0.6× 90 0.7× 96 0.9× 62 0.7× 15 535
Andrew M. Goldfine United States 11 294 0.9× 278 0.9× 137 1.0× 229 2.2× 112 1.2× 14 614
Mariusz Siemiński Poland 15 214 0.7× 163 0.6× 36 0.3× 157 1.5× 50 0.6× 61 550
Pieter Guldenmund Belgium 7 253 0.8× 127 0.4× 54 0.4× 70 0.7× 46 0.5× 8 387
Evelyn Kamau United Kingdom 6 311 1.0× 321 1.1× 135 1.0× 143 1.4× 83 0.9× 6 508
R. Chiaramonti Italy 8 262 0.8× 114 0.4× 46 0.3× 72 0.7× 79 0.9× 13 415
M. R. Coleman United Kingdom 10 384 1.2× 606 2.1× 329 2.4× 320 3.1× 219 2.4× 12 867
Rémy Lehembre Belgium 7 320 1.0× 325 1.1× 208 1.5× 151 1.5× 80 0.9× 12 542

Countries citing papers authored by Gerald Pichler

Since Specialization
Citations

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

Fields of papers citing papers by Gerald Pichler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gerald Pichler

This figure shows the co-authorship network connecting the top 25 collaborators of Gerald Pichler. A scholar is included among the top collaborators of Gerald Pichler 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 Gerald Pichler. Gerald Pichler 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.
Dekundy, Andrzej, Gerald Pichler, Reda Badry, Astrid Scheschonka, & Wojciech Danysz. (2024). Amantadine for Traumatic Brain Injury—Supporting Evidence and Mode of Action. Biomedicines. 12(7). 1558–1558. 5 indexed citations
2.
3.
Schabus, Manuel, et al.. (2020). Actigraphy in brain-injured patients – A valid measurement for assessing circadian rhythms?. BMC Medicine. 18(1). 106–106. 4 indexed citations
4.
Bauernfeind, Günther, Christoph Pokorny, David Steyrl, et al.. (2020). Improved Classification Of Auditory Evoked Event-Related Potentials. TUGraz OPEN Library (Graz University of Technology). 062-1–062-4. 1 indexed citations
5.
Lechinger, Julia, Małgorzata Wisłowska, Christine Blume, et al.. (2018). Sleep in patients with disorders of consciousness characterized by means of machine learning. PLoS ONE. 13(1). e0190458–e0190458. 32 indexed citations
6.
Wood, Guilherme, Silvia Erika Kober, Walter Schippinger, et al.. (2018). Towards using fNIRS recordings of mental arithmetic for the detection of residual cognitive activity in patients with disorders of consciousness (DOC). Brain and Cognition. 125. 78–87. 28 indexed citations
7.
Wisłowska, Małgorzata, Renata del Giudice, Julia Lechinger, et al.. (2017). Night and day variations of sleep in patients with disorders of consciousness. Scientific Reports. 7(1). 266–266. 40 indexed citations
8.
Blume, Christine, Julia Lechinger, Nayantara Santhi, et al.. (2017). Significance of circadian rhythms in severely brain-injured patients. Northumbria Research Link (Northumbria University). 5 indexed citations
9.
Ortner, Rupert, et al.. (2017). Assessment and Communication for People with Disorders of Consciousness. Journal of Visualized Experiments. 2 indexed citations
10.
11.
Giudice, Renata del, Christine Blume, Małgorzata Wisłowska, et al.. (2016). Can self-relevant stimuli help assessing patients with disorders of consciousness?. Consciousness and Cognition. 44. 51–60. 12 indexed citations
12.
Pinter, Daniela, Gerald Pichler, Walter Schippinger, et al.. (2016). An exploratory intervention study suggests clinical benefits of training in chronic stroke to be paralleled by changes in brain activity using repeated fMRI. Clinical Interventions in Aging. 11. 97–97. 18 indexed citations
13.
Lechinger, Julia, Christine Blume, Gerald Pichler, et al.. (2016). Event-related EEG power modulations and phase connectivity indicate the focus of attention in an auditory own name paradigm. Journal of Neurology. 263(8). 1530–1543. 12 indexed citations
14.
Lechinger, Julia, Johann Donis, Gabriele Michitsch, et al.. (2015). EEG entropy measures indicate decrease of cortical information processing in Disorders of Consciousness. Clinical Neurophysiology. 127(2). 1419–1427. 90 indexed citations
15.
Horki, Petar, Günther Bauernfeind, Daniela Klobassa, et al.. (2014). Detection of mental imagery and attempted movements in patients with disorders of consciousness using EEG. Frontiers in Human Neuroscience. 8. 1009–1009. 20 indexed citations
16.
Pokorny, Christoph, Daniela Klobassa, Gerald Pichler, et al.. (2013). The auditory P300-based single-switch brain–computer interface: Paradigm transition from healthy subjects to minimally conscious patients. Artificial Intelligence in Medicine. 59(2). 81–90. 70 indexed citations
17.
Lechinger, Julia, Gerald Pichler, Gabriele Michitsch, et al.. (2013). CRS-R score in disorders of consciousness is strongly related to spectral EEG at rest. Journal of Neurology. 260(9). 2348–2356. 97 indexed citations
18.
Lechinger, Julia, Robert Fellinger, Johann Donis, et al.. (2012). Mirroring of a simple motor behavior in Disorders of Consciousness. Clinical Neurophysiology. 124(1). 27–34. 14 indexed citations
19.
Schabus, Manuel, Dietmar Roehm, Johann Donis, et al.. (2011). Oscillatory brain activity in vegetative and minimally conscious state during a sentence comprehension task.. PubMed. 26(1). 31–6. 14 indexed citations
20.
Üzüner, Nevzat, et al.. (2004). Right‐to‐Left Shunt Assessed by Contrast Transcranial Doppler Sonography. Journal of Ultrasound in Medicine. 23(11). 1475–1482. 17 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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