Markus Koskela

2.2k citations
47 papers · 718 · h-index 14

Impact in

Papers in

    • Advanced Image and Video Retrieval Techniques 28
    • Image Retrieval and Classification Techniques 28
    • Video Analysis and Summarization 14
    • Human Pose and Action Recognition 4
    • Neural Networks and Applications 6
    • Domain Adaptation and Few-Shot Learning 3

Markus Koskela

44 papers receiving 613 citations

Peers

Markus Koskela
Comparison fields: 5 of 77
  • Computer Vision and Pattern Recognition 589
  • Human-Computer Interaction 74
  • Media Technology 67
  • Signal Processing 75
  • Artificial Intelligence 172
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Citations per year

Countries citing papers authored by Markus Koskela

Since Specialization
Citations

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

Fields of papers citing papers by Markus Koskela

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000141
2 2002109
3 200154
4 200347
5 201442
6 201430
7 201330
8
Analyzing Low-Level Visual Features Using Content-Based Image Retrieval
200024
9 201419
10
Using Long-Term Learning to Improve Efficiency of Content-Based Image Retrieval
200319
11 200717
12 201817
13 200414
14 200413
15 201012
16
PicSOM - A Framework for Content-Based Image Database Retrieval using Self-Organizing Maps
199911
17
Neu-IR: The SIGIR 2016 Workshop on Neural Information Retrieval
201610
18
The PicSOM Retrieval System: Description and Evaluations
200010
19
COMPARISON OF TECHNIQUES FOR CONTENT-BASED IMAGE RETRIEVAL
20019
20
Interactive image retrieval using self-organizing maps
20038

About Markus Koskela

Markus Koskela is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Human-Computer Interaction and Control and Systems Engineering, having authored 47 papers that have together received 718 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (28 papers), Image Retrieval and Classification Techniques (28 papers), Video Analysis and Summarization (14 papers), Music and Audio Processing (8 papers), Neural Networks and Applications (6 papers), Hand Gesture Recognition Systems (5 papers), Human Pose and Action Recognition (4 papers) and Domain Adaptation and Few-Shot Learning (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (589 citations), Human-Computer Interaction (74 citations), Media Technology (67 citations), Signal Processing (75 citations) and Artificial Intelligence (172 citations). Markus Koskela has collaborated with scholars based in Finland, Russia and New Zealand. Frequent co-authors include Jorma Laaksonen, Erkki Oja, Xi Chen, Xi Chen, Alan F. Smeaton, Mats Sjöberg, Patrik Floréen, Ville Viitaniemi, Sami S. Brandt and Xi Chen. Their work appears in journals such as Virtual Reality, Neurocomputing, IEEE Transactions on Multimedia, ACM Transactions on Interactive Intelligent Systems and Pattern Recognition Letters.

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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