Stefan Harrer
- Biomedical Engineering top 5%
- Cognitive Neuroscience top 5%
- Electrical and Electronic Engineering top 10%
- Health Informatics top 0.5%
- Artificial Intelligence top 5%
- Co-authors
- Pratik ShahBhavna AntonyJianying HuUmar AsifJianbin TangIsabell Kiral-KornekSubhrajit RoyBenjamin S. Mashford
- Topics
- Nanofabrication and Lithography Techniques (14 papers)Advancements in Photolithography Techniques (13 papers)Nanopore and Nanochannel Transport Studies (13 papers)
- Partner nations
- AustraliaUnited StatesGermany
In The Last Decade
Stefan Harrer
51 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Biomedical Engineering 525
- Cognitive Neuroscience 375
- Electrical and Electronic Engineering 331
- Health Informatics 263
- Artificial Intelligence 251
Countries citing papers authored by Stefan Harrer
This map shows the geographic impact of Stefan Harrer'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 Stefan Harrer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Harrer more than expected).
Fields of papers citing papers by Stefan Harrer
This network shows the impact of papers produced by Stefan Harrer. 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 Stefan Harrer. The network helps show where Stefan Harrer may publish in the future.
Co-authorship network of co-authors of Stefan Harrer
This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Harrer. A scholar is included among the top collaborators of Stefan Harrer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Stefan Harrer. Stefan Harrer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 7 | |
| 3 | 6 | |
| 4 | 22 | |
| 5 | Attention is not all you need: the complicated case of ethically using large language models in healthcare and medicinebreakdown → | 239 |
| 6 | 90 | |
| 7 | 4 | |
| 8 | SeizureNet: A Deep Convolutional Neural Network for Accurate Seizure Type Classification and Seizure Detection. | 12 |
| 9 | 351 | |
| 10 | Machine Learning for Seizure Type Classification: Setting the benchmark. | 8 |
| 11 | EnsembleNet: Improving Grasp Detection using an Ensemble of Convolutional Neural Networks. | 9 |
| 12 | 191 | |
| 13 | 18 | |
| 14 | 18 | |
| 15 | 44 | |
| 16 | 23 | |
| 17 | 2 | |
| 18 | 2 | |
| 19 | 18 | |
| 20 | 22 |
About Stefan Harrer
Stefan Harrer is a scholar working on Health Informatics, Biomedical Engineering and Cognitive Neuroscience, having authored 52 papers that have together received 1.7k indexed citations. Recurring topics across this work include Nanofabrication and Lithography Techniques (14 papers), Advancements in Photolithography Techniques (13 papers) and Nanopore and Nanochannel Transport Studies (13 papers). The work is most often cited by research in Health Informatics (263 citations), Cognitive Neuroscience (375 citations) and Biomedical Engineering (525 citations). Stefan Harrer has collaborated with scholars based in Australia, United States and Germany. Frequent co-authors include Pratik Shah, Bhavna Antony, Jianying Hu, Umar Asif, Jianbin Tang, Isabell Kiral-Kornek, Subhrajit Roy, Benjamin S. Mashford, Matthew Colburn and Joy Cheng. Their work appears in journals such as ACS Nano, The Journal of Physical Chemistry B and Langmuir.
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.