Michael Oberle

47 papers receiving 2.6k citations

Michael Oberle's Hit Papers

Direct antimicrobial resistance prediction from clinical MALDI-TOF mass spectra using machine learning 2022 · 156 citations
1560+5+11Years since publication2505007501000

Peers

Michael Oberle
Comparison fields: 5 of 145
  • Biophysics 418
  • Sensory Systems 182
  • Biomedical Engineering 1.2k
  • Radiology, Nuclear Medicine and Imaging 470
  • Clinical Biochemistry 127
Replace Chih‐Hung Wang with:
Chih‐Hung Wang Taiwan
Chii‐Wann Lin Taiwan
Khek Yu Ho Singapore
Donald T. Miller United States
Todd P. Coleman United States
Osamu Fujiwara Japan
Pantelis Georgiou United Kingdom
Marcos Tadeu Tavares Pacheco Brazil
Frank B. Sachse United States
Xiaofen Liu China
Michael Oberle relative to Chih‐Hung Wang Taiwan Chih‐Hung Wang's profile →
Citations per field
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Chih‐Hung Wang · 1×
Citations per year

Countries citing papers authored by Michael Oberle

Since Specialization
Citations

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

Fields of papers citing papers by Michael Oberle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michael Oberle, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael Oberle Line = papers co-authored together Michael Oberle links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The Virtual Family—development of surface-based anatomical models of two adults and two children for dosimetric simulations
Hit paper breakdown →
20091140
2 2020174
3
Direct antimicrobial resistance prediction from clinical MALDI-TOF mass spectra using machine learning
Hit paper breakdown →
2022156
4 2007140
5 1998139
6 2009134
7 202077
8 201067
9 200952
10 202040
11 202138
12 200937
13 200533
14 202132
15 201632
16 201530
17 201530
18 200627
19 200927
20 200224

About Michael Oberle

Michael Oberle is a scholar working on Biomedical Engineering, Infectious Diseases, Public Health, Environmental and Occupational Health, Epidemiology and Electrical and Electronic Engineering, having authored 49 papers that have together received 2.6k indexed citations. Recurring topics across this work include Wireless Body Area Networks (7 papers), Trypanosoma species research and implications (6 papers), Flexible and Reconfigurable Manufacturing Systems (6 papers), Digital Transformation in Industry (6 papers), Research on Leishmaniasis Studies (6 papers), Molecular Communication and Nanonetworks (5 papers), Olfactory and Sensory Function Studies (4 papers) and Manufacturing Process and Optimization (3 papers). The work is most often cited by research in Biophysics (418 citations), Sensory Systems (182 citations), Biomedical Engineering (1.2k citations), Radiology, Nuclear Medicine and Imaging (470 citations) and Clinical Biochemistry (127 citations). Michael Oberle has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Niels Kuster, Qiuting Huang, Marc Simon Wegmueller, Wolfgang Rascher, Joshua Guag, Andreas Christ, Marcel Zefferer, Eckhart G. Hahn, Berthold Kiefer and Anthony Kam. Their work appears in journals such as PLoS ONE, Vaccines, IEEE Journal of Solid-State Circuits, IEEE Transactions on Instrumentation and Measurement and Clinical Chemistry and Laboratory Medicine (CCLM).

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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