Hannah Bast
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Semantic Web and Ontologies
- Advanced Graph Neural Networks
- Advanced Text Analysis Techniques
- Signal Processing top 10%
- Data Management and Algorithms
Papers in
-
- Semantic Web and Ontologies 11
- Topic Modeling 11
- Natural Language Processing Techniques 8
- Advanced Graph Neural Networks 4
- Algorithms and Data Compression 4
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- Data Management and Algorithms 13
- Co-authors
- Elmar Haußmann (10 shared papers)Björn Buchhold (10 shared papers)Sabine Storandt (7 shared papers)Torben Hagerup (1 shared paper)Christoph Bock (1 shared paper)Thomas Lengauer (1 shared paper)Susan Hert (1 shared paper)Nicola Fohrer (1 shared paper)
- Journals
- ACM Transactions on Information Systems (3 papers)Advances in geosciences (1 paper)Theory of Computing Systems (1 paper)Computer Graphics Forum (1 paper)Information and Computation (1 paper)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Hannah Bast
37 papers receiving 623 citations
Peers
Comparison fields: 5 of 84
- Artificial Intelligence 411
- Signal Processing 87
- Transportation 35
- Computer Vision and Pattern Recognition 105
- Information Systems 112
Countries citing papers authored by Hannah Bast
This map shows the geographic impact of Hannah Bast'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 Hannah Bast with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hannah Bast more than expected).
Fields of papers citing papers by Hannah Bast
This network shows the impact of papers produced by Hannah Bast. 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 Hannah Bast. The network helps show where Hannah Bast may publish in the future.
Co-authors
The 16 scholars most cited alongside Hannah Bast, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 149 | |
| 2 | 2016 | 75 | |
| 3 | 2012 | 51 | |
| 4 | 2014 | 35 | |
| 5 | 2013 | 33 | |
| 6 | 2017 | 32 | |
| 7 | 2013 | 30 | |
| 8 | 1995 | 28 | |
| 9 | 2014 | 22 | |
| 10 | The Area Partitioning Problem | 2000 | 16 |
| 11 | 2014 | 16 | |
| 12 | 2017 | 14 | |
| 13 | 2012 | 14 | |
| 14 | 2017 | 14 | |
| 15 | 2015 | 12 | |
| 16 | 2020 | 12 | |
| 17 | 2015 | 12 | |
| 18 | 2016 | 10 | |
| 19 | 2014 | 10 | |
| 20 | 2015 | 8 |
About Hannah Bast
Hannah Bast is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Computer Networks and Communications and Management Science and Operations Research, having authored 41 papers that have together received 653 indexed citations. Recurring topics across this work include Data Management and Algorithms (13 papers), Semantic Web and Ontologies (11 papers), Topic Modeling (11 papers), Natural Language Processing Techniques (8 papers), Data Quality and Management (5 papers), Advanced Graph Neural Networks (4 papers), Human Mobility and Location-Based Analysis (4 papers) and Algorithms and Data Compression (4 papers). The work is most often cited by research in Artificial Intelligence (411 citations), Signal Processing (87 citations), Transportation (35 citations), Computer Vision and Pattern Recognition (105 citations) and Information Systems (112 citations). Hannah Bast has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Elmar Haußmann, Björn Buchhold, Sabine Storandt, Torben Hagerup, Christoph Bock, Thomas Lengauer, Susan Hert, Nicola Fohrer, Martin Potthast and Laura Dietz. Their work appears in journals such as ACM Transactions on Information Systems, Advances in geosciences, Theory of Computing Systems, Computer Graphics Forum and Information and Computation.
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.