René Speck

1.5k total citations
10 papers, 86 citations indexed

About

René Speck is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computer Networks and Communications. According to data from OpenAlex, René Speck has authored 10 papers receiving a total of 86 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 5 papers in Management Science and Operations Research and 1 paper in Computer Networks and Communications. Recurrent topics in René Speck's work include Topic Modeling (9 papers), Data Quality and Management (5 papers) and Natural Language Processing Techniques (5 papers). René Speck is often cited by papers focused on Topic Modeling (9 papers), Data Quality and Management (5 papers) and Natural Language Processing Techniques (5 papers). René Speck collaborates with scholars based in Germany, Brazil and Sweden. René Speck's co-authors include Axel-Cyrille Ngonga Ngomo, Jens Lehmann, Dániel Gerber, Ricardo Usbeck, Lorenz Bühmann, Renato Fileto, Diego Moussallem, Luís P. F. Garcia, Chris van der Lee and Thiago Castro Ferreira and has published in prestigious journals such as Language Resources and Evaluation, Information Systems and Journal of Web Semantics.

In The Last Decade

René Speck

8 papers receiving 82 citations

Peers

René Speck
Comparison fields: 5 of 22
  • Artificial Intelligence 78
  • Management Science and Operations Research 33
  • Information Systems 13
  • Sociology and Political Science 7
  • Molecular Biology 6
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Jiaao Chen United States
Jianhong Tu China
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Mohamed Amir Yosef Germany
Danica Damljanović United Kingdom
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Citations per field, relative to René Speck
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Citations per year, relative to René Speck
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Countries citing papers authored by René Speck

Since Specialization
Citations

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

Fields of papers citing papers by René Speck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of René Speck

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

All Works

10 of 10 papers shown
# Work Indexed citations
1 1
2
A General Benchmarking Framework for Text Generation
1
3 21
4 3
5
Automatic Generation of Benchmarks for Entity Recognition and Linking.
1
6 3
7 41
8 6
9
A tool suite for creating question answering benchmarks
0
10
Named entity recognition using FOX
9

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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