Günter Neumann
About
In The Last Decade
Günter Neumann
88 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 101
- Artificial Intelligence 543
- Plant Science 464
- Information Systems 168
- Soil Science 103
- Molecular Biology 98
Countries citing papers authored by Günter Neumann
This map shows the geographic impact of Günter Neumann'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 Günter Neumann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Günter Neumann more than expected).
Fields of papers citing papers by Günter Neumann
This network shows the impact of papers produced by Günter Neumann. 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 Günter Neumann. The network helps show where Günter Neumann may publish in the future.
Co-authorship network of co-authors of Günter Neumann
This figure shows the co-authorship network connecting the top 25 collaborators of Günter Neumann. A scholar is included among the top collaborators of Günter Neumann 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 Günter Neumann. Günter Neumann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | A Mobile Touchable Application for Online Topic Graph Extraction and Exploration of Web Content | 3 |
| 4 | Using MT-Based Metrics for RTE. | 3 |
| 5 | Bootstrapping Noun Groups Using Closed-Class Elements Only. | 1 |
| 6 | Combining Deterministic Dependency Parsing and Linear Classification for Robust RTE. | 2 |
| 7 | Nitrogen Forms and Water Consumption in Tomato Plants | 13 |
| 8 | Unsupervised and domain-independent extraction of technical terms from scientific articles in digital libraries. | 3 |
| 9 | 2 | |
| 10 | Unsupervised Relation Extraction From Web Documents. | 12 |
| 11 | An Accuracy-Oriented Divide-and-Conquer Strategy for Recognizing Textual Entailment. | 7 |
| 12 | DFKI-LT at AVE 2007: Using Recognizing Textual Entailment for Answer Validation | 4 |
| 13 | Glossar des Lykischen | 2 |
| 14 | Exploring HPSG-based Treebanks for Probabilistic Parsing HPSG grammar extraction | 1 |
| 15 | DFKI's LT-lab at the CLEF 2005 Multiple Language Question Answering Track | 11 |
| 16 | Shallow Natural Language Technology and Text Mining. | 5 |
| 17 | Matronen und verwandte Gottheiten : Ergebnisse eines Kolloquiums veranstaltet von der Göttinger Akademiekommission für die Altertumskunde Mittel- und Nordeuropas | 0 |
| 18 | Neufunde lykischer Inschriften seit 1901 | 7 |
| 19 | Substrate im Germanischen | 4 |
| 20 | Sprachnormung im klassischen Latein | 3 |
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.