Jörg Waitelonis

702 citations
32 papers · 264 indexed · h-index 8

Jörg Waitelonis

29 papers receiving 232 citations

Peers

Jörg Waitelonis
Comparison fields: 5 of 42
  • Artificial Intelligence 173
  • Management Science and Operations Research 64
  • Computer Science Applications 25
  • Computer Vision and Pattern Recognition 70
  • Information Systems 66
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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-authorship network

The 24 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
#Work
1 20240
2 20247
3 20246
4 20230
5 20222
6
Linked stage graph
20192
7 20194
8 20183
9
Data Integration for the Media Value Chain.
20161
10
Evaluating entity linking: an analysis of current benchmark datasets and a roadmap for doing a better job
201627
11 20161
12 20144
13
Open Up Cultural Heritage in Video Archives with Mediaglobe
20123
14
Widen the Peepholes! Entity-based Auto-Suggestion as a rich and yet immediate Starting Point for Exploratory Search.
20121
15
Sneak Preview? Instantly Know What To Expect In Faceted Video Searching
20112
16 201133
17 201139
18
The Path is the Destination - Enabling a New Search Paradigm with Linked Data
20107
19 20097
20
OSOTIS - Kollaborative inhaltsbasierte Video-Suche
20071

About Jörg Waitelonis

Jörg Waitelonis is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Artificial Intelligence, Management Science and Operations Research and Information Systems and Management, having authored 32 papers that have together received 264 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (21 papers), Image Retrieval and Classification Techniques (9 papers), Video Analysis and Summarization (9 papers), Data Quality and Management (8 papers), Music and Audio Processing (5 papers), Biomedical Text Mining and Ontologies (5 papers), Topic Modeling (5 papers) and Advanced Image and Video Retrieval Techniques (4 papers). The work is most often cited by research in Artificial Intelligence (173 citations), Management Science and Operations Research (64 citations), Computer Science Applications (25 citations), Computer Vision and Pattern Recognition (70 citations) and Information Systems (66 citations). Jörg Waitelonis has collaborated with scholars based in Germany, France and United States. Frequent co-authors include Harald Sack, Markus Schilling, Filip Ilievski, Lutz Mädler, Giuseppe Rizzo, Matthias Jung, Marieke van Erp, Julien Plu, Heiko Paulheim and Pablo N. Mendes. Their work appears in journals such as Advanced Engineering Materials, Multimedia Tools and Applications, Semantic Web, Materials & Design and Scientific Data.

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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