Martin Apitz
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
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- Ion Channels and Receptors
Papers in
-
- Anatomy and Medical Technology 2
- Advanced Chemical Sensor Technologies 1
- Surgery 2
- Surgical Simulation and Training 2
- Co-authors
- Torsten Lowin (1 shared paper)Sven Anders (1 shared paper)Rainer H. Straub (1 shared paper)Hannes Kenngott (5 shared papers)Martin Wagner (4 shared papers)Beat P. Müller‐Stich (3 shared papers)Felix Nickel (2 shared papers)Anas Amin Preukschas (2 shared papers)
- Journals
- Arthritis Research & Therapy (1 paper)Langenbeck s Archives of Surgery (1 paper)Microsystem Technologies (1 paper)IEEE Transactions on Biomedical Engineering (1 paper)Journal of Surgical Research (1 paper)
- Partner nations
- GermanySwitzerlandItaly
In The Last Decade
Martin Apitz
8 papers receiving 194 citations
Peers
Comparison fields: 5 of 78
- Health Informatics 13
- Sensory Systems 12
- Pharmacology 36
- Surgery 50
- Biomedical Engineering 48
Countries citing papers authored by Martin Apitz
This map shows the geographic impact of Martin Apitz'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 Martin Apitz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Apitz more than expected).
Fields of papers citing papers by Martin Apitz
This network shows the impact of papers produced by Martin Apitz. 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 Martin Apitz. The network helps show where Martin Apitz may publish in the future.
Co-authors
The 25 scholars most cited alongside Martin Apitz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 74 | |
| 2 | 2015 | 47 | |
| 3 | 2018 | 28 | |
| 4 | 2012 | 18 | |
| 5 | 2017 | 9 | |
| 6 | 2017 | 9 | |
| 7 | 2017 | 8 | |
| 8 | PREDICTING THE DURATION OF SURGERIES TO IMPROVE PROCESS EFFICIENCY IN HOSPITALS | 2017 | 3 |
| 9 | 2017 | 0 |
About Martin Apitz
Martin Apitz is a scholar working on Biomedical Engineering, Surgery, Pharmacology, Health, Toxicology and Mutagenesis and Health Informatics, having authored 9 papers that have together received 196 indexed citations. Recurring topics across this work include Surgical Simulation and Training (2 papers), Anatomy and Medical Technology (2 papers), Artificial Intelligence in Healthcare and Education (1 paper), Gas Sensing Nanomaterials and Sensors (1 paper), Cannabis and Cannabinoid Research (1 paper), Advanced Chemical Sensor Technologies (1 paper), Health, Environment, Cognitive Aging (1 paper) and Analytical Chemistry and Sensors (1 paper). The work is most often cited by research in Health Informatics (13 citations), Sensory Systems (12 citations), Pharmacology (36 citations), Surgery (50 citations) and Biomedical Engineering (48 citations). Martin Apitz has collaborated with scholars based in Germany, Switzerland and Italy. Frequent co-authors include Torsten Lowin, Sven Anders, Rainer H. Straub, Hannes Kenngott, Martin Wagner, Beat P. Müller‐Stich, Felix Nickel, Anas Amin Preukschas, Katrin Schmitt and Anna-Laura Wekerle. Their work appears in journals such as Arthritis Research & Therapy, Langenbeck s Archives of Surgery, Microsystem Technologies, IEEE Transactions on Biomedical Engineering and Journal of Surgical Research.
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.