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Researcher · Robert Bosch (Germany) · Germany

Daniel M. Schindler

Daniel M. Schindler publishes mostly in Aerospace Engineering, Cardiology and Cardiovascular Medicine and Electrical and Electronic Engineering, on topics such as Radar Systems and Signal Processing, ECG Monitoring and Analysis and Advanced SAR Imaging Techniques.

ORCID 0000-0002-6796-4870 OpenAlex
World rank
#2,108,252
of 7,710,434 ranked researchers
Rank in Germany
#104,041
of 364,343
Works
36
Citations
1k
Citations per work
28.8
h-index
15
i10-index 21Top 12% in Aerospace Engineering
Daniel M. Schindler

What does Daniel M. Schindler research?

Daniel M. Schindler's work is mostly in Engineering (45%), Medicine (28%), Health Professions (3%).

Physical Sciences: 16 works · 44.8% of their workEngineering: 16 works · 44.8% of their workAerospace Engineering: 9 works · 24.8% of their workElectrical and Electronic Engineering: 4 works · 11.4% of their workBiomedical Engineering: 3 works · 8.6% of their workHealth Sciences: 11 works · 30.5% of their workMedicine: 10 works · 27.6% of their workCardiology and Cardiovascular Medicine: 8 works · 21.9% of their workSurgery: 2 works · 5.7% of their workHealth Professions: 1 works · 2.9% of their workMedical Laboratory Technology: 1 works · 2.9% of their workEverything else: 9 works · 24.7% of their workTHEIR WORKDaniel M.Schindler36works
Physical Sciences45%Health Sciences30%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Engineering1644.8%
    1. Medicine1027.6%
    2. Health Professions12.9%
  3. Everything else924.7%
  1. 1Aerospace Engineering25% of their works
  2. 2Cardiology and Cardiovascular Medicine22% of their works
  3. 3Electrical and Electronic Engineering11% of their works
  4. 4Biomedical Engineering9% of their works
  5. 5Surgery6% of their works
  6. 6Medical Laboratory Technology3% of their works

Research topics

Which keywords describe Daniel M. Schindler's research?

The keywords of their largest research topics: Signal Processing, Deep Learning, Waveform Design, Physiological Monitoring, Cognitive Radar, MIMO Radar, Doppler Radar and Arrhythmia Detection.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 21 words, with their numbers
  1. Signal Processing353 topics
  2. Deep Learning202 topics
  3. Waveform Design202 topics
  4. Physiological Monitoring162 topics
  5. Cognitive Radar151 topic
  6. MIMO Radar151 topic
  7. Doppler Radar132 topics
  8. Arrhythmia Detection111 topic
  9. ECG Signal111 topic
  10. Micro-Doppler Effect91 topic
  11. Synthetic Aperture Radar91 topic
  12. Acute Coronary Syndromes61 topic
  13. Myocardial Infarction61 topic
  14. Alarm Fatigue51 topic
  15. Arrhythmias51 topic
  16. Clinical Alarms51 topic
  17. Long-QT Syndrome51 topic
  18. Multicarrier Transmission51 topic
  19. OFDM51 topic
  20. Photoplethysmography41 topic
  21. Remote Monitoring41 topic

Where does Daniel M. Schindler work?

Daniel M. Schindler's main affiliation in the publication record is Robert Bosch (Germany), Germany.

How many publications and citations does Daniel M. Schindler have?

OpenAlex counts 36 works and 1,035 citations for Daniel M. Schindler, an h-index of 15, ranking #2,108,252 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

Discussion

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