Günter Ladwig
- Artificial Intelligence top 10%
- Information Systems top 10%
- Signal Processing
- Computer Networks and Communications
- Molecular Biology
- Co-authors
- Philipp CimianoSteffen StaabThanh TranDaniel M. HerzigSebastian RudolphMichael ErdmannAndreas WagnerPaul Buitelaar
- Topics
- Semantic Web and Ontologies (8 papers)Natural Language Processing Techniques (4 papers)Web Data Mining and Analysis (3 papers)
- Journals
- IEEE Transactions on Knowledge and Data EngineeringJournal of Web SemanticsPUB – Publications at Bielefeld University (Bielefeld University)
- Partner nations
- Germany
In The Last Decade
Günter Ladwig
8 papers receiving 142 citations
Peers
Comparison fields: 5 of 27
- Artificial Intelligence 148
- Information Systems 90
- Signal Processing 34
- Computer Networks and Communications 29
- Molecular Biology 24
Countries citing papers authored by Günter Ladwig
This map shows the geographic impact of Günter Ladwig'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 Ladwig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Günter Ladwig more than expected).
Fields of papers citing papers by Günter Ladwig
This network shows the impact of papers produced by Günter Ladwig. 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 Ladwig. The network helps show where Günter Ladwig may publish in the future.
Co-authorship network of co-authors of Günter Ladwig
This figure shows the co-authorship network connecting the top 25 collaborators of Günter Ladwig. A scholar is included among the top collaborators of Günter Ladwig 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 Ladwig. Günter Ladwig is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Planungsdaten schnell finden und einfach nutzen: Linked Open Data und semantische Suche im Einsatz für das KTBL-Datenangebot | 0 |
| 2 | 18 | |
| 3 | 23 | |
| 4 | 8 | |
| 5 | The Information Workbench. Interacting with the Web of Data | 6 |
| 6 | 8 | |
| 7 | SmartWeb: Mobile Access to the Semantic Web | 3 |
| 8 | 9 | |
| 9 | 96 |
About Günter Ladwig
Günter Ladwig is a scholar working on Artificial Intelligence, Signal Processing and Geography, Planning and Development, having authored 9 papers that have together received 171 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (8 papers), Natural Language Processing Techniques (4 papers) and Web Data Mining and Analysis (3 papers). The work is most often cited by research in Artificial Intelligence (148 citations), Information Systems (90 citations) and Signal Processing (34 citations). Günter Ladwig has collaborated with scholars based in Germany. Frequent co-authors include Philipp Cimiano, Steffen Staab, Thanh Tran, Daniel M. Herzig, Thanh Tran, Sebastian Rudolph, Michael Erdmann, Andreas Wagner, Paul Buitelaar and Alexander C. Schütz. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Journal of Web Semantics and PUB – Publications at Bielefeld University (Bielefeld University).
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.