F. Nack

769 citations
29 papers · 458 · h-index 11

Impact in

Papers in

F. Nack

26 papers receiving 368 citations

Peers

F. Nack
Comparison fields: 5 of 67
  • Computer Vision and Pattern Recognition 281
  • Signal Processing 97
  • Artificial Intelligence 152
  • Human-Computer Interaction 26
  • Information Systems 87
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Citations per field
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Citations per year

Countries citing papers authored by F. Nack

Since Specialization
Citations

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

Fields of papers citing papers by F. Nack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199977
2 200172
3 200269
4 200553
5 199946
6 200130
7 200429
8 200613
9 200511
10 200011
11
The application of rhetorical structure theory to interactive news program generation from digital archives
200110
12 20047
13 20057
14 20044
15
That obscure object of desire: multimedia metadata on the web
20033
16
The role of high-level and low-level features in semi-automated retrieval and generation of multimedia presentations
20013
17 20242
18
Semi-automatic hypermedia presentation generation
20002
19 20032
20
SampLe: towards a framework for system-supported multimedia authoring
20031

About F. Nack

F. Nack is a scholar working on Computer Vision and Pattern Recognition, Sociology and Political Science, Signal Processing, Artificial Intelligence and Information Systems, having authored 29 papers that have together received 458 indexed citations. Recurring topics across this work include Video Analysis and Summarization (17 papers), Multimedia Communication and Technology (11 papers), Image Retrieval and Classification Techniques (5 papers), Music and Audio Processing (4 papers), Advanced Image and Video Retrieval Techniques (3 papers), Data Visualization and Analytics (3 papers), Natural Language Processing Techniques (2 papers) and Digital Games and Media (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (281 citations), Signal Processing (97 citations), Artificial Intelligence (152 citations), Human-Computer Interaction (26 citations) and Information Systems (87 citations). F. Nack has collaborated with scholars based in Netherlands, Germany and United States. Frequent co-authors include Adam Lindsay, Lynda Hardman, Jacco van Ossenbruggen, Svetha Venkatesh, C. Dorai, Simone Santini, Alexander Maedche, Luc Steels, Jana Dittmann and Stefano Bocconi. Their work appears in journals such as IEEE Multimedia, IEEE Intelligent Systems, IEEE Latin America Transactions, UvA-DARE (University of Amsterdam) and TU/e Research Portal.

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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