D.C. Koelma

1.7k total citations
56 papers, 799 citations indexed

About

D.C. Koelma is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Hardware and Architecture. According to data from OpenAlex, D.C. Koelma has authored 56 papers receiving a total of 799 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 11 papers in Hardware and Architecture. Recurrent topics in D.C. Koelma's work include Video Analysis and Summarization (22 papers), Advanced Image and Video Retrieval Techniques (22 papers) and Image Retrieval and Classification Techniques (22 papers). D.C. Koelma is often cited by papers focused on Video Analysis and Summarization (22 papers), Advanced Image and Video Retrieval Techniques (22 papers) and Image Retrieval and Classification Techniques (22 papers). D.C. Koelma collaborates with scholars based in Netherlands, Denmark and United States. D.C. Koelma's co-authors include Cees G. M. Snoek, F.J. Seinstra, Marcel Worring, Jan‐Mark Geusebroek, A.W.M. Smeulders, Pascal Mettes, Xirong Li, Nguyen Thi Phuong Giang, Jan van Gemert and Koen E. A. van de Sande and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition Letters and IEEE Transactions on Parallel and Distributed Systems.

In The Last Decade

D.C. Koelma

49 papers receiving 715 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
D.C. Koelma Netherlands 14 493 167 91 80 72 56 799
F.J. Seinstra Netherlands 14 316 0.6× 149 0.9× 315 3.5× 79 1.0× 68 0.9× 55 875
James D. Weber United States 18 139 0.3× 164 1.0× 51 0.6× 117 1.5× 39 0.5× 43 1.2k
Jun Han China 15 390 0.8× 139 0.8× 57 0.6× 6 0.1× 76 1.1× 76 774
Hong Xiao China 15 103 0.2× 331 2.0× 81 0.9× 13 0.2× 21 0.3× 71 632
Hasan Dağ Türkiye 12 102 0.2× 182 1.1× 111 1.2× 27 0.3× 71 1.0× 59 566
Yifan He China 15 259 0.5× 616 3.7× 98 1.1× 4 0.1× 54 0.8× 139 1.2k
Parris K. Egbert United States 13 326 0.7× 116 0.7× 38 0.4× 4 0.1× 22 0.3× 45 588
Sunil Bhirud India 12 99 0.2× 157 0.9× 86 0.9× 8 0.1× 81 1.1× 71 582
Bin Zhu China 17 990 2.0× 180 1.1× 49 0.5× 5 0.1× 163 2.3× 68 1.2k
Xukai Zou United States 20 160 0.3× 484 2.9× 471 5.2× 11 0.1× 147 2.0× 95 1.1k

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-authorship network of co-authors of D.C. Koelma

This figure shows the co-authorship network connecting the top 25 collaborators of D.C. Koelma. A scholar is included among the top collaborators of D.C. Koelma 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 D.C. Koelma. D.C. Koelma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Bernasco, Wim, Evelien M. Hoeben, D.C. Koelma, et al.. (2022). Promise Into Practice: Application of Computer Vision in Empirical Research on Social Distancing. Sociological Methods & Research. 52(3). 1239–1287. 12 indexed citations
3.
Worring, Marcel & D.C. Koelma. (2015). Insight in Image Collections by Multimedia Pivot Tables. UvA-DARE (University of Amsterdam). 291–298. 4 indexed citations
4.
Snoek, Cees G. M., Koen E. A. van de Sande, Daniel Fontijne, et al.. (2014). MediaMill at TRECVID 2014: Searching Concepts, Objects, Instances and Events in Video. UvA-DARE (University of Amsterdam). 23 indexed citations
5.
Worring, Marcel & D.C. Koelma. (2013). Multimedia Pivot Tables. 2 indexed citations
6.
Myers, Gregory, Ramesh Nallapati, Julien van Hout, et al.. (2013). Evaluating multimedia features and fusion for example-based event detection. Machine Vision and Applications. 25(1). 17–32. 24 indexed citations
7.
Seinstra, F.J., Jan‐Mark Geusebroek, D.C. Koelma, et al.. (2007). High-Performance Distributed Video Content Analysis with Parallel-Horus. IEEE Multimedia. 14(4). 64–75. 33 indexed citations
8.
Snoek, Cees G. M., Marcel Worring, Jan‐Mark Geusebroek, D.C. Koelma, & F.J. Seinstra. (2005). NIST Special Publication. UvA-DARE (University of Amsterdam). 205 indexed citations
9.
Snoek, Cees G. M., Jan van Gemert, Jan‐Mark Geusebroek, et al.. (2005). The MediaMill TRECVID 2005 Semantic Video Search Engine (Draft Version).. TRECVID.
10.
Snoek, Cees G. M., et al.. (2005). Mediamill: Searching Multimedia Archives Based on Learned Semantics. 1575–1577. 2 indexed citations
11.
Seinstra, F.J. & D.C. Koelma. (2004). User transparency: a fully sequential programming model for efficient data parallel image processing: Research Articles. Concurrency and Computation Practice and Experience. 16(6). 611–644. 13 indexed citations
12.
Snoek, Cees G. M., Marcel Worring, Jan‐Mark Geusebroek, D.C. Koelma, & F.J. Seinstra. (2004). The MediaMill TRECVID 2004 Semantic Viedo Search Engine.. TRECVID. 8 indexed citations
13.
14.
Seinstra, F.J. & D.C. Koelma. (2002). Transparent parallel image processing by way of a familiar sequential API. 4. 824–827. 2 indexed citations
15.
Geusebroek, Jan‐Mark, D.C. Koelma, A.W.M. Smeulders, & Th. Gevers. (2002). Image retrieval and segmentation based on color invariants. 2. 784–785.
16.
Olabarriaga, Sílvia D., et al.. (1997). A Simple Application Framework for Interactive Segmentation Systems. UvA-DARE (University of Amsterdam). 1 indexed citations
17.
Koelma, D.C., et al.. (1997). A software architecture for application driven high performance image processing. UvA-DARE (University of Amsterdam).
18.
Koelma, D.C.. (1996). A Software Environment for Image Interpretation. UvA-DARE (University of Amsterdam).
19.
Koelma, D.C., A.W.M. Smeulders, & E. Backer. (1994). A blackboard infrastructure for object-based image interpretation. UvA-DARE (University of Amsterdam). 136–147. 1 indexed citations
20.
Koelma, D.C., et al.. (1992). SCIL-VP: a multi-purpose visual programming environment. 1188–1198. 7 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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