Jörg Waitelonis

718 citations
38 papers · 389 · h-index 11

Impact in

Papers in

Jörg Waitelonis

37 papers receiving 356 citations

Peers

Jörg Waitelonis
Comparison fields: 5 of 49
  • Artificial Intelligence 247
  • Management Science and Operations Research 76
  • Computer Science Applications 31
  • Computer Vision and Pattern Recognition 116
  • Information Systems 91
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Citations per year

Countries citing papers authored by Jörg Waitelonis

Since Specialization
Citations

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

Fields of papers citing papers by Jörg Waitelonis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jörg Waitelonis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jörg Waitelonis Line = papers co-authored together Jörg Waitelonis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201152
2 201149
3 201635
4 202335
5
Integrating Social Tagging and Document Annotation for Content-Based Search in Multimedia Data.
200625
6
Named Entity Linking in #Tweets with KEA.
201619
7
Augmenting Video Search with Linked Open Data.
200918
8 200717
9 201216
10 200912
11
The Path is the Destination - Enabling a New Search Paradigm with Linked Data
201011
12 20249
13
Enabled Generalized Vector Space Model to Improve Document Retrieval.
20159
14 20108
15 20247
16 20117
17 20146
18 20166
19
FRanCo - A Ground Truth Corpus for Fact Ranking Evaluation.
20156
20
Open Up Cultural Heritage in Video Archives with Mediaglobe
20125

About Jörg Waitelonis

Jörg Waitelonis is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Management Science and Operations Research and Molecular Biology, having authored 38 papers that have together received 389 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (25 papers), Video Analysis and Summarization (13 papers), Image Retrieval and Classification Techniques (10 papers), Data Quality and Management (8 papers), Music and Audio Processing (6 papers), Biomedical Text Mining and Ontologies (6 papers), Natural Language Processing Techniques (6 papers) and Topic Modeling (5 papers). The work is most often cited by research in Artificial Intelligence (247 citations), Management Science and Operations Research (76 citations), Computer Science Applications (31 citations), Computer Vision and Pattern Recognition (116 citations) and Information Systems (91 citations). Jörg Waitelonis has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Harald Sack, Markus Schilling, Heiko Paulheim, Giuseppe Rizzo, Matthias Jung, Filip Ilievski, Lutz Mädler, Marieke van Erp, Pablo N. Mendes and Julien Plu. Their work appears in journals such as Multimedia Tools and Applications, Advanced Engineering Materials, Interactive Technology and Smart Education, Semantic Web and Language Resources and Evaluation.

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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