Marco Loog

6.8k citations
141 papers · 4.2k · 2 hit papers · h-index 28

Impact in

Papers in

    • Face and Expression Recognition 23
    • Image Retrieval and Classification Techniques 21
    • Advanced Image and Video Retrieval Techniques 15
    • Medical Image Segmentation Techniques 10
    • Machine Learning and Data Classification 22
    • AI in cancer detection 13
    • Machine Learning and Algorithms 12

Marco Loog

131 papers receiving 4.0k citations

Hit Papers

A Review of Domain Adaptation without Target Labels 2019 · 374 citations
3740+7+14Years since publication100200300400500

Peers

Marco Loog
Comparison fields: 5 of 182
  • Computer Vision and Pattern Recognition 1.8k
  • Radiology, Nuclear Medicine and Imaging 1.5k
  • Ophthalmology 485
  • Artificial Intelligence 1.4k
  • Media Technology 320
Replace Aurélio Campilho with:
Aurélio Campilho Portugal
Tuan D. Pham Australia
Rangaraj M. Rangayyan Canada
Vijayan K. Asari United States
Marios S. Pattichis United States
Mingchen Gao United States
Md Zahangir Alom United States
Yang Chen China
Ghassan Hamarneh Canada
Matthew B. Blaschko Belgium
Marco Loog relative to Aurélio Campilho Portugal Aurélio Campilho's profile →
Citations per field
00.5×1.5×2.5×
Aurélio Campilho · 1×
Citations per year

Countries citing papers authored by Marco Loog

Since Specialization
Citations

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

Fields of papers citing papers by Marco Loog

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 141 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Comparative study of retinal vessel segmentation methods on a new publicly available database
Hit paper breakdown →
2004585
2
A Review of Domain Adaptation without Target Labels
Hit paper breakdown →
2019374
3 2005362
4 2001329
5 2016289
6 2009176
7 2005120
8 201098
9 200995
10 202291
11 201489
12 201882
13 201072
14 201468
15 200646
16 201945
17 201639
18 201039
19 200836
20 201235

About Marco Loog

Marco Loog is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Media Technology and Pulmonary and Respiratory Medicine, having authored 141 papers that have together received 4.2k indexed citations. Recurring topics across this work include Face and Expression Recognition (23 papers), Machine Learning and Data Classification (22 papers), Image Retrieval and Classification Techniques (21 papers), Advanced Image and Video Retrieval Techniques (15 papers), AI in cancer detection (13 papers), Remote-Sensing Image Classification (12 papers), Machine Learning and Algorithms (12 papers) and Medical Image Segmentation Techniques (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.8k citations), Radiology, Nuclear Medicine and Imaging (1.5k citations), Ophthalmology (485 citations), Artificial Intelligence (1.4k citations) and Media Technology (320 citations). Marco Loog has collaborated with scholars based in Netherlands, Denmark and Italy. Frequent co-authors include Bram van Ginneken, Wouter M. Kouw, Robert P. W. Duin, Meindert Niemeijer, Michael D. Abràmoff, Reinhold Haeb‐Umbach, Mikkel B. Stegmann, Joes Staal, Yazhou Yang and David M. J. Tax. Their work appears in journals such as Pattern Recognition, Pattern Recognition Letters, IEEE Transactions on Pattern Analysis and Machine Intelligence, Medical Image Analysis and IEEE Transactions on Medical Imaging.

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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