Harald Kosch

1.8k citations
110 papers · 707 · h-index 15

Impact in

Papers in

Harald Kosch

97 papers receiving 646 citations

Peers

Harald Kosch
Comparison fields: 5 of 65
  • Computer Vision and Pattern Recognition 411
  • Signal Processing 191
  • Computer Networks and Communications 220
  • Information Systems 178
  • Sociology and Political Science 253
Replace Fausto Rabitti with:
Fausto Rabitti Italy
Florina Almenárez Spain
Oriana Riva United States
Glenn Fink United States
Gary C. Kessler United States
Yih-Farn Chen United States
Moritz Steiner United States
Nabil Layaïda France
SangKeun Lee South Korea
M. Dennis Mickunas United States
Harald Kosch relative to Fausto Rabitti Italy Fausto Rabitti's profile →
Citations per field
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Citations per year

Countries citing papers authored by Harald Kosch

Since Specialization
Citations

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

Fields of papers citing papers by Harald Kosch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Harald Kosch, 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 Harald Kosch Line = papers co-authored together Harald Kosch links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 110 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200347
2 200344
3 201236
4 201532
5 200526
6 200026
7 200324
8
Introducing Thing Descriptions and Interactions: An Ontology for the Web of Things.
201624
9 200220
10 201020
11 201219
12 200717
13 200916
14 201114
15 201014
16 200314
17
SMOOTH - A Distributed Multimedia Database System
200113
18 201312
19 201612
20 201512

About Harald Kosch

Harald Kosch is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Sociology and Political Science, Signal Processing and Information Systems, having authored 110 papers that have together received 707 indexed citations. Recurring topics across this work include Video Analysis and Summarization (40 papers), Multimedia Communication and Technology (31 papers), Music and Audio Processing (15 papers), Data Management and Algorithms (14 papers), Image Retrieval and Classification Techniques (13 papers), Semantic Web and Ontologies (11 papers), Advanced Image and Video Retrieval Techniques (11 papers) and Peer-to-Peer Network Technologies (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (411 citations), Signal Processing (191 citations), Computer Networks and Communications (220 citations), Information Systems (178 citations) and Sociology and Political Science (253 citations). Harald Kosch has collaborated with scholars based in Germany, France and Austria. Frequent co-authors include Britta Meixner, Sebastian Käbisch, Mario Döller, Lionel Brunie, Jörg Heuer, Hermann Hellwagner, László Böszörményi, Katarzyna Matusik, Franz Lehner and Andreas Hutter. Their work appears in journals such as Multimedia Tools and Applications, IEEE Multimedia, ACM SIGMOD Record, Sensors and Signal Processing Image Communication.

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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