Dirk Weissenborn
About
In The Last Decade
Dirk Weissenborn
14 papers receiving 348 citations
Peers
Comparison fields: 5 of 63
- Artificial Intelligence 288
- Computer Vision and Pattern Recognition 180
- Information Systems 35
- Molecular Biology 32
- Signal Processing 19
Countries citing papers authored by Dirk Weissenborn
This map shows the geographic impact of Dirk Weissenborn'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 Dirk Weissenborn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dirk Weissenborn more than expected).
Fields of papers citing papers by Dirk Weissenborn
This network shows the impact of papers produced by Dirk Weissenborn. 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 Dirk Weissenborn. The network helps show where Dirk Weissenborn may publish in the future.
Co-authorship network of co-authors of Dirk Weissenborn
This figure shows the co-authorship network connecting the top 25 collaborators of Dirk Weissenborn. A scholar is included among the top collaborators of Dirk Weissenborn 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 Dirk Weissenborn. Dirk Weissenborn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale | 143 |
| 2 | Object-Centric Learning with Slot Attention | 13 |
| 3 | Contextualized Role Interaction for Neural Machine Translation | 1 |
| 4 | FastQA: A Simple and Efficient Neural Architecture for Question Answering. | 27 |
| 5 | Reading Twice for Natural Language Understanding. | 8 |
| 6 | 102 | |
| 7 | 1 | |
| 8 | 13 | |
| 9 | 19 | |
| 10 | 10 | |
| 11 | 24 | |
| 12 | 3 | |
| 13 | Answering Factoid Questions in the Biomedical Domain. | 16 |
| 14 | DBpedia Spotlight at the MSM2013 Challenge. | 1 |
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.