Reinhard Rapp
About
In The Last Decade
Reinhard Rapp
42 papers receiving 764 citations
Peers
Comparison fields: 5 of 40
- Artificial Intelligence 833
- Language and Linguistics 83
- Information Systems 79
- Molecular Biology 75
- Computer Vision and Pattern Recognition 62
Countries citing papers authored by Reinhard Rapp
This map shows the geographic impact of Reinhard Rapp'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 Reinhard Rapp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Reinhard Rapp more than expected).
Fields of papers citing papers by Reinhard Rapp
This network shows the impact of papers produced by Reinhard Rapp. 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 Reinhard Rapp. The network helps show where Reinhard Rapp may publish in the future.
Co-authorship network of co-authors of Reinhard Rapp
This figure shows the co-authorship network connecting the top 25 collaborators of Reinhard Rapp. A scholar is included among the top collaborators of Reinhard Rapp 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 Reinhard Rapp. Reinhard Rapp is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Using Collections of Human Language Intuitions to Measure Corpus Representativeness | 2 |
| 2 | Using Word Familiarities and Word Associations to Measure Corpus Representativeness | 6 |
| 3 | Corpus-Based Computation of Reverse Associations | 4 |
| 4 | Workshop on Hybrid Approaches to Translation: Overview and Developments | 4 |
| 5 | Identifying Word Translations from Comparable Documents Without a Seed Lexicon | 7 |
| 6 | Proceedings of the Joint Workshop on Exploiting Synergies between Information Retrieval and Machine Translation (ESIRMT) and Hybrid Approaches to Machine Translation (HyTra) | 5 |
| 7 | Language Acquisition as the Detection, Memorization, and Reproduction of Statistical Regularities in Perceived Language | 2 |
| 8 | 12 | |
| 9 | 4 | |
| 10 | 1 | |
| 11 | Example-Based Machine Translation Using a Dictionary of Word Pairs | 4 |
| 12 | Utilizing the One-Sense-per-Discourse Constraint for Fully Unsupervised Word Sense Induction and Disambiguation | 3 |
| 13 | A Freely Available Automatically Generated Thesaurus of Related Words | 29 |
| 14 | Word sense discovery based on sense descriptor dissimilarity | 68 |
| 15 | A Part-of-Speech-Based Search Algorithm for Translation Memories | 2 |
| 16 | 282 | |
| 17 | Muliilingual corpora for cooperation | 10 |
| 18 | Identifying Word Translation in Non_Parallel Texts. | 1 |
| 19 | 6 | |
| 20 | Computation of Word Associations Based on Co-occurrences of Words in Large Corpora | 15 |
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.