Daniel Heesch
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- Advanced Image and Video Retrieval Techniques 13
- Image Retrieval and Classification Techniques 12
- Video Analysis and Summarization 8
- Advanced Vision and Imaging 3
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- Music and Audio Processing 1
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- Semantic Web and Ontologies 1
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- Plant and animal studies 1
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- Digital Humanities and Scholarship 1
- Co-authors
- Stefan RügerMaria PetrouPeter HowarthDavid BullJoão MagalhãesR.J. O'CallaghanM. PetrouAlexander May
- Journals
- Theoretical Population Biology (1 paper)Multimedia Tools and Applications (1 paper)Journal of Signal Processing Systems (1 paper)
- Partner nations
- United KingdomUnited States
In The Last Decade
Daniel Heesch
17 papers receiving 179 citations
Peers
Comparison fields: 5 of 48
- Computer Vision and Pattern Recognition 162
- Signal Processing 20
- Media Technology 13
- Human-Computer Interaction 7
- Artificial Intelligence 25
Countries citing papers authored by Daniel Heesch
This map shows the geographic impact of Daniel Heesch'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 Daniel Heesch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Heesch more than expected).
Fields of papers citing papers by Daniel Heesch
This network shows the impact of papers produced by Daniel Heesch. 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 Daniel Heesch. The network helps show where Daniel Heesch may publish in the future.
Co-authorship network
The 10 scholars most cited alongside Daniel Heesch, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 5 | |
| 2 | 2009 | 11 | |
| 3 | 2008 | 71 | |
| 4 | 2007 | 6 | |
| 5 | 2007 | 6 | |
| 6 | 2006 | 9 | |
| 7 | 2005 | 3 | |
| 8 | Do "Attractive Things Work Better"? An Exploration of Search Tool Visualisations | 2005 | 11 |
| 9 | Visual Features for Content-based Medical Image Retrieval. | 2004 | 4 |
| 10 | Video Retrieval Using Search and Browsing. | 2004 | 19 |
| 11 | 2004 | 3 | |
| 12 | 2004 | 1 | |
| 13 | 2004 | 7 | |
| 14 | NN Networks for Content-Based Image Retrieval | 2004 | 3 |
| 15 | Video Retrieval Using Search and Browsing with Key Frames. | 2003 | 4 |
| 16 | Info Navigator: A visualization tool for document searching and browsing | 2003 | 18 |
| 17 | Video Retrieval Using Global Features in Keyframes. | 2002 | 17 |
About Daniel Heesch
Daniel Heesch is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Media Technology, Signal Processing and Literature and Literary Theory, having authored 17 papers that have together received 198 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (13 papers), Image Retrieval and Classification Techniques (12 papers), Video Analysis and Summarization (8 papers), Advanced Vision and Imaging (3 papers), Music and Audio Processing (1 paper), Plant and animal studies (1 paper), Digital Humanities and Scholarship (1 paper) and Semantic Web and Ontologies (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (162 citations), Signal Processing (20 citations), Media Technology (13 citations), Human-Computer Interaction (7 citations) and Artificial Intelligence (25 citations). Daniel Heesch has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Stefan Rüger, Maria Petrou, Peter Howarth, David Bull, João Magalhães, R.J. O'Callaghan, M. Petrou, Alexander May, Brock Craft and Paul Cairns. Their work appears in journals such as Theoretical Population Biology, Multimedia Tools and Applications, Journal of Signal Processing Systems, Text REtrieval Conference and TRECVID.
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.