D.C. Koelma

1.7k citations
56 papers · 799 · h-index 14

Impact in

Papers in

D.C. Koelma

49 papers receiving 715 citations

Peers

D.C. Koelma
Comparison fields: 5 of 101
  • Computer Vision and Pattern Recognition 493
  • Safety, Risk, Reliability and Quality 80
  • Signal Processing 72
  • Hardware and Architecture 43
  • Artificial Intelligence 167
Replace F.J. Seinstra with:
F.J. Seinstra Netherlands
Jun Han China
James D. Weber United States
Hasan Dağ Türkiye
Hong Xiao China
Erxue Min China
Parris K. Egbert United States
Sam Michiels Belgium
Xukai Zou United States
Riadh Ksantini Canada
D.C. Koelma relative to F.J. Seinstra Netherlands F.J. Seinstra's profile →
Citations per field
00.5×1.6×
F.J. Seinstra · 1×
Citations per year

Countries citing papers authored by D.C. Koelma

Since Specialization
Citations

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

Fields of papers citing papers by D.C. Koelma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D.C. Koelma. 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 D.C. Koelma. The network helps show where D.C. Koelma may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1
NIST Special Publication
2005205
2 200679
3 200761
4 201644
5 200236
6 200733
7 201333
8 200526
9 201324
10
MediaMill at TRECVID 2014: Searching Concepts, Objects, Instances and Events in Video
201423
11 202020
12 200718
13 202016
14 200414
15
User transparency: a fully sequential programming model for efficient data parallel image processing: Research Articles
200413
16 202212
17 200512
18 200212
19 201710
20
The MediaMill TRECVID 2004 Semantic Viedo Search Engine.
20048

About D.C. Koelma

D.C. Koelma is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Hardware and Architecture, Computer Networks and Communications and Signal Processing, having authored 56 papers that have together received 799 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (22 papers), Advanced Image and Video Retrieval Techniques (22 papers), Video Analysis and Summarization (22 papers), Parallel Computing and Optimization Techniques (10 papers), Distributed and Parallel Computing Systems (7 papers), Multimodal Machine Learning Applications (6 papers), Natural Language Processing Techniques (4 papers) and CCD and CMOS Imaging Sensors (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (493 citations), Safety, Risk, Reliability and Quality (80 citations), Signal Processing (72 citations), Hardware and Architecture (43 citations) and Artificial Intelligence (167 citations). D.C. Koelma has collaborated with scholars based in Netherlands, Denmark and Iceland. Frequent co-authors include Cees G. M. Snoek, F.J. Seinstra, Marcel Worring, Jan‐Mark Geusebroek, A.W.M. Smeulders, Pascal Mettes, Xirong Li, Jan van Gemert, Nguyen Thi Phuong Giang and Andrew D. Bagdanov. Their work appears in journals such as IEEE Transactions on Multimedia, IEEE Multimedia, IEEE Transactions on Parallel and Distributed Systems, Machine Vision and Applications and JMIR Public Health and Surveillance.

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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