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Johannes Bickenbach
ResearcherPublications, citations & collaboration network
Johannes Bickenbach is a researcher indexed in ScholarIQ from OpenAlex & ORCID. ScholarIQ records 166 works, 2,492 citations, an h-index of 25 and an i10-index of 51.
166
Works
2,492
Citations
25
h-index
51
i10-index
How has Johannes Bickenbach's publication output changed over time?
ScholarIQpublication output · 2005–2022
Output grew0% over the shown period — from 1 works in 2005 to 1 in 2022.
1
1
1
1
1
1
1
2
1
200520062007201020152017202020212022
What are the most-cited papers on Johannes Bickenbach?
ScholarIQmost cited works
The Characteristics of 50 Hospitalized COVID-19 Patients With and Without ARDS
Michael Dreher, Alexander Kersten, Johannes Bickenbach, Paul Balfanz, Bojan Hartmann, Christian Cornélissen, Ayham Daher, Robert Stöhr, Michael Kleines, Sebastian Lemmen, Jörg Christian Brokmann, Tobias Müller, Dirk Müller‐Wieland, Gernot Marx, Nikolaus Marx
S40230991. 2020258 CitationsOPEN ACCESS
Attitudes and perception of artificial intelligence in healthcare: A cross-sectional survey among patients
Sebastian Fritsch, Andrea Blankenheim, Alina Wahl, Petra Hetfeld, Oliver Maaßen, Saskia Deffge, J Kunze, Rolf Rossaint, Morris Riedel, Gernot Marx, Johannes Bickenbach
S4210188408. 2022222 CitationsOPEN ACCESS
Development and validation of a reinforcement learning algorithm to dynamically optimize mechanical ventilation in critical care
Arne Peine, Ahmed Hallawa, Johannes Bickenbach, Guido Dartmann, Lejla Begic Fazlic, Anke Schmeink, Gerd Ascheid, Christoph Thiemermann, Andreas Schuppert, Ryan Kindle, Leo Anthony Celi, Gernot Marx, Lukas Märtin
npj Digital Medicine. 2021138 CitationsOPEN ACCESS
Future Medical Artificial Intelligence Application Requirements and Expectations of Physicians in German University Hospitals: Web-Based Survey
Oliver Maaßen, Sebastian Fritsch, Julia Palm, Saskia Deffge, J Kunze, Gernot Marx, Morris Riedel, Andreas Schuppert, Johannes Bickenbach
Journal of Medical Internet Research. 2021134 CitationsOPEN ACCESS
Nicht-invasive Beatmung als Therapie der akuten respiratorischen Insuffizienz
Michael Westhoff, B. Schönhofer, Peter Neumann, Johannes Bickenbach, T Barchfeld, Heinrich F. Becker, Rolf Dubb, Hans Fuchs, Hans Jürgen Heppner, Uwe Janssens, Thomas Jehser, O Karg, Erich Kilger, H. Köhler, Thomas Köhnlein, M. Max, F. J. Meyer, Wolfgang Müllges, Christian Putensen, D. Schreiter, Jan Hendrik Storre, Wolfram Windisch
S111957458. 2015132 CitationsOPEN ACCESS
Related on ScholarIQ
RWTH Aachen University
Institution
The Characteristics of 50 Hospitalized COVID-19 Patients With and Without ARDS
Paper
Attitudes and perception of artificial intelligence in healthcare: A cross-sectional survey among patients
Paper
Development and validation of a reinforcement learning algorithm to dynamically optimize mechanical ventilation in critical care
Paper
Future Medical Artificial Intelligence Application Requirements and Expectations of Physicians in German University Hospitals: Web-Based Survey
Paper
Nicht-invasive Beatmung als Therapie der akuten respiratorischen Insuffizienz
Paper