Anja Bethmann
Impact in
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- Teaching and Learning Programming
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces
- Neural and Behavioral Psychology Studies
- Hemispheric Asymmetry in Neuroscience
- Neurobiology of Language and Bilingualism
- Neuroscience and Music Perception
Papers in
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- EEG and Brain-Computer Interfaces 4
- Neural and Behavioral Psychology Studies 3
- Neurobiology of Language and Bilingualism 2
- Neuroscience and Music Perception 2
- Face Recognition and Perception 1
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- Software Engineering Research 4
- Co-authors
- Chris Parnin (6 shared papers)Sven Apel (6 shared papers)Christian Kästner (5 shared papers)Janet Siegmund (5 shared papers)Thomas Leich (3 shared papers)Gunter Saake (3 shared papers)Henning Scheich (2 shared papers)Claus Tempelmann (1 shared paper)
- Journals
- Frontiers in Neuroinformatics (1 paper)Brain Research (1 paper)Frontiers in Human Neuroscience (1 paper)PLoS ONE (1 paper)IEEE Transactions on Software Engineering (1 paper)
- Partner nations
- GermanyUnited States
In The Last Decade
Anja Bethmann
9 papers receiving 420 citations
Peers
Comparison fields: 5 of 59
- Computer Science Applications 76
- Cognitive Neuroscience 225
- Software 31
- Information Systems 153
- Human-Computer Interaction 30
Countries citing papers authored by Anja Bethmann
This map shows the geographic impact of Anja Bethmann'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 Anja Bethmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anja Bethmann more than expected).
Fields of papers citing papers by Anja Bethmann
This network shows the impact of papers produced by Anja Bethmann. 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 Anja Bethmann. The network helps show where Anja Bethmann may publish in the future.
Co-authors
The 13 scholars most cited alongside Anja Bethmann, 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 | 2014 | 159 | |
| 2 | 2017 | 81 | |
| 3 | 2006 | 79 | |
| 4 | 2018 | 44 | |
| 5 | 2012 | 24 | |
| 6 | 2014 | 18 | |
| 7 | 2015 | 16 | |
| 8 | 2014 | 3 | |
| 9 | Neural Efficiency of Top-Down Program Comprehension. | 2018 | 2 |
| 10 | 2014 | 1 |
About Anja Bethmann
Anja Bethmann is a scholar working on Cognitive Neuroscience, Information Systems, Electrical and Electronic Engineering, Materials Chemistry and Experimental and Cognitive Psychology, having authored 10 papers that have together received 427 indexed citations. Recurring topics across this work include Software Engineering Research (4 papers), EEG and Brain-Computer Interfaces (4 papers), Neural and Behavioral Psychology Studies (3 papers), Ferroelectric and Negative Capacitance Devices (2 papers), Neurobiology of Language and Bilingualism (2 papers), Machine Learning in Materials Science (2 papers), Neuroscience and Music Perception (2 papers) and Face Recognition and Perception (1 paper). The work is most often cited by research in Computer Science Applications (76 citations), Cognitive Neuroscience (225 citations), Software (31 citations), Information Systems (153 citations) and Human-Computer Interaction (30 citations). Anja Bethmann has collaborated with scholars based in Germany and United States. Frequent co-authors include Chris Parnin, Sven Apel, Christian Kästner, Janet Siegmund, Thomas Leich, Gunter Saake, Henning Scheich, Claus Tempelmann, Ria De Bleser and Norman Peitek. Their work appears in journals such as Frontiers in Neuroinformatics, Brain Research, Frontiers in Human Neuroscience, PLoS ONE and IEEE Transactions on Software Engineering.
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.