Dennis Diefenbach

71 total papers · 1.1k total citations
8 papers, 191 citations indexed

About

Dennis Diefenbach is a scholar working on Artificial Intelligence, Computer Networks and Communications and Control and Systems Engineering. According to data from OpenAlex, Dennis Diefenbach has authored 8 papers receiving a total of 191 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 1 paper in Computer Networks and Communications and 1 paper in Control and Systems Engineering. Recurrent topics in Dennis Diefenbach's work include Topic Modeling (7 papers), Natural Language Processing Techniques (5 papers) and Semantic Web and Ontologies (3 papers). Dennis Diefenbach is often cited by papers focused on Topic Modeling (7 papers), Natural Language Processing Techniques (5 papers) and Semantic Web and Ontologies (3 papers). Dennis Diefenbach collaborates with scholars based in France, Germany and Japan. Dennis Diefenbach's co-authors include Vanessa López, Pierre Maret, Kamal Singh, Andreas Both, Ricardo Usbeck, Axel-Cyrille Ngonga Ngomo, Bernhard Kratzwald, Stefan Feuerriegel, Christophe Gravier and Kōichi Shimoda and has published in prestigious journals such as Knowledge and Information Systems, Journal of Reliable Intelligent Environments and Repository for Publications and Research Data (ETH Zurich).

In The Last Decade

Dennis Diefenbach

6 papers receiving 185 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Dennis Diefenbach 178 31 19 16 5 8 191
Shuofei Qiao 141 0.8× 26 0.8× 21 1.1× 24 1.5× 6 1.2× 12 185
Swarnadeep Saha 193 1.1× 40 1.3× 19 1.0× 33 2.1× 8 1.6× 14 217
Linyong Nan 127 0.7× 17 0.5× 20 1.1× 23 1.4× 4 0.8× 16 144
Jinhao Jiang 195 1.1× 36 1.2× 22 1.2× 30 1.9× 4 0.8× 10 222
Karl Pichotta 207 1.2× 32 1.0× 19 1.0× 27 1.7× 4 0.8× 8 221
Q. Liu 182 1.0× 40 1.3× 38 2.0× 19 1.2× 10 2.0× 11 222
Yew Ken Chia 175 1.0× 21 0.7× 9 0.5× 14 0.9× 2 0.4× 11 193
Qingyu Tan 169 0.9× 21 0.7× 12 0.6× 27 1.7× 3 0.6× 10 189
Tania Bedrax-Weiss 220 1.2× 27 0.9× 21 1.1× 45 2.8× 17 3.4× 10 241
Erdal Kuzey 136 0.8× 46 1.5× 31 1.6× 11 0.7× 9 1.8× 7 148

Countries citing papers authored by Dennis Diefenbach

Since Specialization
Citations

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

Fields of papers citing papers by Dennis Diefenbach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dennis Diefenbach

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

All Works

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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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