Ulrike Padó
About
In The Last Decade
Ulrike Padó
18 papers receiving 197 citations
Peers
Comparison fields: 5 of 35
- Artificial Intelligence 180
- Cognitive Neuroscience 30
- Education 22
- Information Systems 19
- Computer Science Applications 17
Countries citing papers authored by Ulrike Padó
This map shows the geographic impact of Ulrike Padó'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 Ulrike Padó with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ulrike Padó more than expected).
Fields of papers citing papers by Ulrike Padó
This network shows the impact of papers produced by Ulrike Padó. 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 Ulrike Padó. The network helps show where Ulrike Padó may publish in the future.
Co-authorship network of co-authors of Ulrike Padó
This figure shows the co-authorship network connecting the top 25 collaborators of Ulrike Padó. A scholar is included among the top collaborators of Ulrike Padó 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 Ulrike Padó. Ulrike Padó is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | Summarization Evaluation meets Short-Answer Grading | 2 |
| 7 | 19 | |
| 8 | 2 | |
| 9 | Get Semantic With Me! The Usefulness of Different Feature Types for Short-Answer Grading | 14 |
| 10 | 2 | |
| 11 | Short answer grading: When sorting helps and when it doesn’t | 15 |
| 12 | 1 | |
| 13 | 57 | |
| 14 | 1 | |
| 15 | 40 | |
| 16 | 4 | |
| 17 | Flexible, Corpus-Based Modelling of Human Plausibility Judgements | 20 |
| 18 | Combining Syntax and Thematic Fit in a Probabilistic Model of Sentence Processing | 11 |
| 19 | Modelling Semantic Role Pausibility in Human Sentence Processing. | 5 |
| 20 | EACL 2006, 11st Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference, April 3-7, 2006, Trento, Italy | 6 |
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.