Mark J. Huiskes

2.7k total citations · 1 hit paper
15 papers, 1.8k citations indexed

About

Mark J. Huiskes is a scholar working on Computer Vision and Pattern Recognition, Conservation and Ecology. According to data from OpenAlex, Mark J. Huiskes has authored 15 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 1 paper in Conservation and 1 paper in Ecology. Recurrent topics in Mark J. Huiskes's work include Advanced Image and Video Retrieval Techniques (11 papers), Image Retrieval and Classification Techniques (10 papers) and Video Analysis and Summarization (9 papers). Mark J. Huiskes is often cited by papers focused on Advanced Image and Video Retrieval Techniques (11 papers), Image Retrieval and Classification Techniques (10 papers) and Video Analysis and Summarization (9 papers). Mark J. Huiskes collaborates with scholars based in Netherlands, United Kingdom and Germany. Mark J. Huiskes's co-authors include Michael S. Lew, Bart Thomée, Renaud Péteri, S Fazekas, Stefanie Nowak, Erwin M. Bakker, J. Grasman, Michael S. Lew, Paweł Bernard and Eric Pauwels and has published in prestigious journals such as Pattern Recognition Letters, Computer Vision and Image Understanding and Journal of Biological Systems.

In The Last Decade

Mark J. Huiskes

14 papers receiving 1.8k citations

Hit Papers

The MIR flickr retrieval evaluation 2008 2026 2014 2020 2008 400 800 1.2k

Peers

Mark J. Huiskes
Nikhil Rasiwasia United States
Karl Ni United States
Chad Carson United States
Tu Bui Canada
Bin Zhu China
Mark J. Huiskes
Citations per year, relative to Mark J. Huiskes Mark J. Huiskes (= 1×) peers Hanjiang Lai

Countries citing papers authored by Mark J. Huiskes

Since Specialization
Citations

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

Fields of papers citing papers by Mark J. Huiskes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark J. Huiskes. 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 Mark J. Huiskes. The network helps show where Mark J. Huiskes may publish in the future.

Co-authorship network of co-authors of Mark J. Huiskes

This figure shows the co-authorship network connecting the top 25 collaborators of Mark J. Huiskes. A scholar is included among the top collaborators of Mark J. Huiskes based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mark J. Huiskes. Mark J. Huiskes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Thomée, Bart, Mark J. Huiskes, & Michael S. Lew. (2013). Special issue on visual concept detection in the MIRFLICKR/ImageCLEF benchmark. Computer Vision and Image Understanding. 117(5). 451–452. 1 indexed citations
2.
Thomée, Bart, Mark J. Huiskes, Erwin M. Bakker, & Michael S. Lew. (2013). An evaluation of content-based duplicate image detection methods for web search. 1–6. 8 indexed citations
3.
Péteri, Renaud, S Fazekas, & Mark J. Huiskes. (2010). DynTex: A comprehensive database of dynamic textures. Pattern Recognition Letters. 31(12). 1627–1632. 203 indexed citations
4.
Huiskes, Mark J., Bart Thomée, & Michael S. Lew. (2010). New trends and ideas in visual concept detection. 527–536. 234 indexed citations
5.
Nowak, Stefanie & Mark J. Huiskes. (2010). New Strategies for Image Annotation: Overview of the Photo Annotation Task at ImageCLEF 2010. 38 indexed citations
6.
Thomée, Bart, Mark J. Huiskes, Erwin M. Bakker, & Michael S. Lew. (2009). Deep exploration for experiential image retrieval. 673–676. 4 indexed citations
7.
Thomée, Bart, Mark J. Huiskes, Erwin M. Bakker, & Michael S. Lew. (2009). An exploration-based interface for interactive image retrieval. 10. 188–193. 5 indexed citations
8.
Huiskes, Mark J. & Michael S. Lew. (2008). Performance evaluation of relevance feedback methods. 239–248. 20 indexed citations
9.
Thomée, Bart, Mark J. Huiskes, Erwin M. Bakker, & Michael S. Lew. (2008). Using an artificial imagination for texture retrieval. Proceedings - International Conference on Pattern Recognition. 26. 1–4. 7 indexed citations
10.
Thomée, Bart, Mark J. Huiskes, Erwin M. Bakker, & Michael S. Lew. (2008). Large scale image copy detection evaluation. 59–66. 24 indexed citations
11.
Huiskes, Mark J. & Michael S. Lew. (2008). The MIR flickr retrieval evaluation. 39–43. 1261 indexed citations breakdown →
12.
Thomée, Bart, Mark J. Huiskes, Erwin M. Bakker, & Michael S. Lew. (2007). Visual information retrieval using synthesized imagery. 127–130. 4 indexed citations
13.
Huiskes, Mark J., et al.. (2005). Towards computer-assisted photo-identification of humpback whales. 3. 1727–1730. 13 indexed citations
14.
Pauwels, Eric, et al.. (2003). FOUNDIT: SEARCHING FOR DECORATION DESIGNS IN DIGITAL CATALOGUES. 541–544.
15.
Grasman, J. & Mark J. Huiskes. (2001). RESILIENCE AND CRITICAL STOCK SIZE IN A STOCHASTIC RECRUITMENT MODEL. Journal of Biological Systems. 9(1). 1–12. 6 indexed citations

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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