Christian Kohlschütter
- Information Systems top 2%
- Artificial Intelligence top 5%
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Signal Processing top 10%
- Co-authors
- Wolfgang NejdlPéter FankhauserPaul - Alexandru ChiritaRaluca PaiuPaul‐Alexandru ChiritaSergey ChernovTereza Iofciu
- Topics
- Web Data Mining and Analysis (6 papers)Information Retrieval and Search Behavior (4 papers)Text and Document Classification Technologies (2 papers)
- Journals
- Institutional Repository of Leibniz Universität Hannover (Leibniz Universität Hannover)PUB – Publications at Bielefeld University (Bielefeld University)
- Partner nations
- Germany
In The Last Decade
Christian Kohlschütter
6 papers receiving 467 citations
Peers
Comparison fields: 5 of 46
- Information Systems 392
- Artificial Intelligence 318
- Computer Networks and Communications 80
- Computer Vision and Pattern Recognition 60
- Signal Processing 53
Countries citing papers authored by Christian Kohlschütter
This map shows the geographic impact of Christian Kohlschütter'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 Christian Kohlschütter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christian Kohlschütter more than expected).
Fields of papers citing papers by Christian Kohlschütter
This network shows the impact of papers produced by Christian Kohlschütter. 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 Christian Kohlschütter. The network helps show where Christian Kohlschütter may publish in the future.
Co-authorship network of co-authors of Christian Kohlschütter
This figure shows the co-authorship network connecting the top 25 collaborators of Christian Kohlschütter. A scholar is included among the top collaborators of Christian Kohlschütter 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 Christian Kohlschütter. Christian Kohlschütter 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 | 275 | |
| 3 | 17 | |
| 4 | 66 | |
| 5 | 6 | |
| 6 | Enabling Federated Search with Heterogeneous Search Engines Combining FAST Data Search and Lucene | 0 |
| 7 | 162 | |
| 8 | Keywords and RDF fragments: integrating metadata and full-text search in Beagle++ | 1 |
About Christian Kohlschütter
Christian Kohlschütter is a scholar working on Information Systems, Artificial Intelligence and Philosophy, having authored 8 papers that have together received 527 indexed citations. Recurring topics across this work include Web Data Mining and Analysis (6 papers), Information Retrieval and Search Behavior (4 papers) and Text and Document Classification Technologies (2 papers). The work is most often cited by research in Information Systems (392 citations), Artificial Intelligence (318 citations) and Signal Processing (53 citations). Christian Kohlschütter has collaborated with scholars based in Germany. Frequent co-authors include Wolfgang Nejdl, Péter Fankhauser, Paul - Alexandru Chirita, Raluca Paiu, Paul‐Alexandru Chirita, Sergey Chernov and Tereza Iofciu. Their work appears in journals such as Institutional Repository of Leibniz Universität Hannover (Leibniz Universität Hannover) 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.