Fabian Bohnert
- Artificial Intelligence top 10%
- Information Systems top 10%
- Computer Vision and Pattern Recognition
- Sociology and Political Science
- Signal Processing
- Co-authors
- Ingrid ZukermanYanir SeroussiLiz SonenbergTimothy BaldwinKarl GrieserShlomo BerkovskyR. Andrew RussellGwyneth Rees
- Topics
- Recommender Systems and Techniques (7 papers)Topic Modeling (4 papers)Data Management and Algorithms (4 papers)
- Journals
- Journal of the American Medical Informatics AssociationComputational LinguisticsUser Modeling and User-Adapted Interaction
- Partner nations
- AustraliaNetherlandsIsrael
In The Last Decade
Fabian Bohnert
15 papers receiving 229 citations
Peers
Comparison fields: 5 of 56
- Artificial Intelligence 157
- Information Systems 92
- Computer Vision and Pattern Recognition 47
- Sociology and Political Science 19
- Signal Processing 18
Countries citing papers authored by Fabian Bohnert
This map shows the geographic impact of Fabian Bohnert'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 Fabian Bohnert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabian Bohnert more than expected).
Fields of papers citing papers by Fabian Bohnert
This network shows the impact of papers produced by Fabian Bohnert. 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 Fabian Bohnert. The network helps show where Fabian Bohnert may publish in the future.
Co-authorship network of co-authors of Fabian Bohnert
This figure shows the co-authorship network connecting the top 25 collaborators of Fabian Bohnert. A scholar is included among the top collaborators of Fabian Bohnert 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 Fabian Bohnert. Fabian Bohnert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 0 | |
| 3 | 6 | |
| 4 | 18 | |
| 5 | 15 | |
| 6 | 59 | |
| 7 | Authorship Attribution with Author-aware Topic Models | 27 |
| 8 | Modelling and Predicting Movements of Museum Visitors: A Simulation Framework for Assessing the Impact of Sensor Noise on Model Performance. | 1 |
| 9 | In Situ Text Summarisation for Museum Visitors | 2 |
| 10 | 28 | |
| 11 | 47 | |
| 12 | 2 | |
| 13 | Using Gaussian spatial processes to model and predict interests in museum exhibits | 3 |
| 14 | A computer-supported methodology for recording and visualising visitor behaviour in museums | 1 |
| 15 | Constraint-aware user modelling and personalisation in physical environments | 2 |
| 16 | 27 |
About Fabian Bohnert
Fabian Bohnert is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Information Systems, having authored 16 papers that have together received 243 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (7 papers), Topic Modeling (4 papers) and Data Management and Algorithms (4 papers). The work is most often cited by research in Artificial Intelligence (157 citations), Information Systems (92 citations) and General Social Sciences (8 citations). Fabian Bohnert has collaborated with scholars based in Australia, Netherlands and Israel. Frequent co-authors include Ingrid Zukerman, Yanir Seroussi, Liz Sonenberg, Timothy Baldwin, Karl Grieser, Shlomo Berkovsky, Timothy Baldwin, R. Andrew Russell, Gwyneth Rees and Lucy Busija. Their work appears in journals such as Journal of the American Medical Informatics Association, Computational Linguistics and User Modeling and User-Adapted Interaction.
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.