Christian Wartena

697 total citations
43 papers, 353 citations indexed

About

Christian Wartena is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Christian Wartena has authored 43 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 12 papers in Information Systems and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Christian Wartena's work include Natural Language Processing Techniques (19 papers), Topic Modeling (16 papers) and Advanced Text Analysis Techniques (15 papers). Christian Wartena is often cited by papers focused on Natural Language Processing Techniques (19 papers), Topic Modeling (16 papers) and Advanced Text Analysis Techniques (15 papers). Christian Wartena collaborates with scholars based in Germany, Netherlands and Spain. Christian Wartena's co-authors include Rogier Brussee, Roeland Ordelman, Martha Larson, Gareth J. F. Jones, Stevan Rudinac, Vanessa Murdock, Pavel Serdyukov, Gerald Friedland, Mohammad Soleymani and Annemieke de Jong and has published in prestigious journals such as Language Resources and Evaluation, Interdisciplinary Science Reviews and UvA-DARE (University of Amsterdam).

In The Last Decade

Christian Wartena

35 papers receiving 312 citations

Peers

Christian Wartena
Comparison fields: 5 of 55
  • Artificial Intelligence 220
  • Information Systems 114
  • Computer Vision and Pattern Recognition 105
  • Statistical and Nonlinear Physics 36
  • Signal Processing 34
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Citations per field, relative to Christian Wartena
Christian Wartena · 1×
Citations per year, relative to Christian Wartena
Christian Wartena · 1×

Countries citing papers authored by Christian Wartena

Since Specialization
Citations

This map shows the geographic impact of Christian Wartena'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 Wartena with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christian Wartena more than expected).

Fields of papers citing papers by Christian Wartena

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christian Wartena. 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 Wartena. The network helps show where Christian Wartena may publish in the future.

Co-authorship network of co-authors of Christian Wartena

This figure shows the co-authorship network connecting the top 25 collaborators of Christian Wartena. A scholar is included among the top collaborators of Christian Wartena 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 Wartena. Christian Wartena is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 3
2 1
3 1
4 0
5 3
6 1
7 2
8 1
9 0
10
Rich Speech Retrieval Using Query Word Filter
2
11 75
12 23
13
Thesaurus based term ranking for keyword extraction : IEEE Proceedings of the 7th International Workshop on Text-based Information Retrieval (TIR-10), Bilbao, Spain
1
14
Using a Divergence Model for MediaEval's Tagging Task (Professional Version)
1
15 14
16
Een ontologie van openbare vermakelijkheden.
1
17 85
18
Using patterns over ontology terms to detect inconsistencies in large text collections
2
19
A Note on the Complexity of Optimality Systems
2
20
How linguistic constraints on movement conspire to yield languages analyzable with a restricted form of LIGs
2

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.

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