D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Engineering and Technology D-index 34 Citations 6,911 371 World Ranking 3692 National Ranking 122

Overview

What is he best known for?

The fields of study he is best known for:

  • Internal medicine
  • Artificial intelligence
  • Surgery

His scientific interests lie mostly in Biomedical engineering, Electrical impedance tomography, Signal, Electronic engineering and Remote patient monitoring. His biological study spans a wide range of topics, including Bioimpedance spectroscopy, Respiratory rate, Textile electrodes, Electrocardiography and Electrical conductor. His Electrical impedance tomography research includes themes of Anesthesia, Breathing, Positive end-expiratory pressure and Medical physics.

He has researched Signal in several fields, including Transducer and Intracranial pressure. His Electronic engineering research is multidisciplinary, incorporating elements of Radar, Capacitive sensing and Acoustics. His Remote patient monitoring research integrates issues from Wireless, Heart rate, Flow measurement and Signal processing.

His most cited work include:

  • A survey on robotic devices for upper limb rehabilitation (584 citations)
  • Chest electrical impedance tomography examination, data analysis, terminology, clinical use and recommendations: consensus statement of the TRanslational EIT developmeNt stuDy group (279 citations)
  • Assessment of regional lung recruitment and derecruitment during a PEEP trial based on electrical impedance tomography. (167 citations)

What are the main themes of his work throughout his whole career to date?

His main research concerns Biomedical engineering, Artificial intelligence, Control theory, Electrical impedance tomography and Internal medicine. His research in Biomedical engineering intersects with topics in Electrical impedance, Signal and Bioimpedance spectroscopy. The Artificial intelligence study combines topics in areas such as Computer vision and Pattern recognition.

His Electrical impedance tomography study improves the overall literature in Tomography. His work in Internal medicine tackles topics such as Cardiology which are related to areas like Heart rate. He focuses mostly in the field of Breathing, narrowing it down to topics relating to Lung injury and, in certain cases, Mechanical ventilation and Anesthesia.

He most often published in these fields:

  • Biomedical engineering (17.48%)
  • Artificial intelligence (11.85%)
  • Control theory (10.96%)

What were the highlights of his more recent work (between 2017-2021)?

  • Artificial intelligence (11.85%)
  • Control theory (10.96%)
  • Internal medicine (9.63%)

In recent papers he was focusing on the following fields of study:

Steffen Leonhardt mostly deals with Artificial intelligence, Control theory, Internal medicine, Cardiology and Biomedical engineering. His Artificial intelligence study incorporates themes from Photoplethysmogram, Computer vision and Pattern recognition. The various areas that he examines in his Control theory study include Robot and Stiffness.

His work on Heart rate, Heart failure, Breathing and Respiratory physiology as part of general Internal medicine study is frequently linked to In patient, therefore connecting diverse disciplines of science. His studies deal with areas such as Electrical impedance tomography and Mechanical ventilation as well as Breathing. The study of Biomedical engineering is intertwined with the study of Bioimpedance spectroscopy in a number of ways.

Between 2017 and 2021, his most popular works were:

  • Unobtrusive vital sign monitoring in automotive environments-a review (29 citations)
  • Noncontact Monitoring of Respiratory Rate in Newborn Infants Using Thermal Imaging (25 citations)
  • Non-invasive monitoring of blood glucose using optical methods for skin spectroscopy-opportunities and recent advances. (18 citations)

In his most recent research, the most cited papers focused on:

  • Internal medicine
  • Artificial intelligence
  • Surgery

Steffen Leonhardt focuses on Internal medicine, Cardiology, Photoplethysmogram, Electrical impedance tomography and Actuator. His work in the fields of Heart failure, Mechanical ventilation, Fluid accumulation and Surrogate endpoint overlaps with other areas such as In patient. His work carried out in the field of Photoplethysmogram brings together such families of science as Heart rate variability, Multivariate calibration, Glycemic and Artificial intelligence.

His Artificial intelligence study integrates concerns from other disciplines, such as Machine learning and Computer vision. His Electrical impedance tomography study deals with the bigger picture of Tomography. Steffen Leonhardt interconnects Electrical impedance, Impedance control, Torque and Rehabilitation robotics in the investigation of issues within Actuator.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

A survey on robotic devices for upper limb rehabilitation

Paweł Maciejasz;Paweł Maciejasz;Paweł Maciejasz;Jörg Eschweiler;Kurt Gerlach-Hahn;Arne Jansen-Troy.
Journal of Neuroengineering and Rehabilitation (2014)

859 Citations

Chest electrical impedance tomography examination, data analysis, terminology, clinical use and recommendations: consensus statement of the TRanslational EIT developmeNt stuDy group

Inéz Frerichs;Marcelo B. P. Amato;Anton H. van Kaam;David G. Tingay.
Thorax (2017)

279 Citations

Assessment of regional lung recruitment and derecruitment during a PEEP trial based on electrical impedance tomography.

Torsten Meier;Henning Luepschen;Jan Karsten;Thorsten Leibecke.
Intensive Care Medicine (2008)

237 Citations

Methods of fault diagnosis

S. Leonhardt;M. Ayoubi.
Control Engineering Practice (1997)

220 Citations

Adaptive Beat-to-Beat Heart Rate Estimation in Ballistocardiograms

C. Bruser;K. Stadlthanner;S. de Waele;S. Leonhardt.
international conference of the ieee engineering in medicine and biology society (2011)

215 Citations

Automatic Step Detection in the Accelerometer Signal

Hong Ying;Carmen Silex;Andreas Schnitzer;Steffen Leonhardt.
wearable and implantable body sensor networks (2007)

181 Citations

Neonatal non-contact respiratory monitoring based on real-time infrared thermography

Abbas K Abbas;Konrad Heimann;Katrin Jergus;Thorsten Orlikowsky.
Biomedical Engineering Online (2011)

176 Citations

Characterization of textile electrodes and conductors using standardized measurement setups

L Beckmann;C Neuhaus;G Medrano;N Jungbecker.
Physiological Measurement (2010)

174 Citations

Electrical impedance tomography: the holy grail of ventilation and perfusion monitoring?

Steffen Leonhardt;Burkhard Lachmann.
Intensive Care Medicine (2012)

166 Citations

Methods for engine supervision and control based on cylinder pressure information

S. Leonhardt;N. Muller;R. Isermann.
IEEE-ASME Transactions on Mechatronics (1999)

153 Citations

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