The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Marco Loog sits on this spectrum.
This scientist: 201 publications — 47th percentile
47% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Marco Loog sits on this spectrum.
This scientist: 32 D-Index — 10th percentile
10% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Marco Loog is a researcher affiliated with Radboud University in the Netherlands. Their work spans numerous publications primarily in the field of computer science, with a specific focus on artificial intelligence and machine learning. The breadth of their research includes subfields such as computer vision and pattern recognition, molecular biology, cancer research, and computational theory and mathematics.
The scientist's research topics cover multiple areas within machine learning and data analysis. Key topics include machine learning and data classification, machine learning algorithms, domain adaptation and few-shot learning, anomaly detection techniques and applications, cancer genomics and diagnostics, explainable artificial intelligence (XAI), and cell image analysis techniques.
Marco Loog's publication record features numerous articles, including recent papers such as:
Their frequent coauthors include Tom J. Viering, Soufiane Mourragui, Lodewyk F.A. Wessels, Alexander Mey, and David M. J. Tax. This collaboration network highlights an engaged research environment within related topics and methods.
Marco Loog has contributed regularly to prominent publication venues, with a notable presence in arXiv (Cornell University), bioRxiv (Cold Spring Harbor Laboratory), IEEE Transactions on Pattern Analysis and Machine Intelligence, Proceedings of the National Academy of Sciences, and Computational Geosciences.
The profile of Marco Loog reflects a focused engagement in the interdisciplinary application of machine learning, encompassing both theoretical advancements and applied methodologies in areas intersecting biology, medicine, and computational sciences.
Meindert Niemeijer;Meindert Niemeijer;Joes Staal;Bram van Ginneken;Marco Loog
M. Loog;R.P.W. Duin;R. Haeb-Umbach
Unknown
R.P.W. Duin;M. Loog
I. Smal;M. Loog;W. Niessen;E. Meijering
Arnold M.R. Schilham;Bram van Ginneken;Marco Loog
Gustavo Carneiro;Diana Mateus;Loïc Peter;Andrew Bradley
Meindert Niemeijer;Marco Loog;Michael David Abràmoff;Max A Viergever
Veronika Cheplygina;David M.J. Tax;Marco Loog
Unknown
M. Loog;B. Ginneken
Soufiane Mourragui;Soufiane Mourragui;Marco Loog;Marco Loog;Mark A van de Wiel;Mark A van de Wiel;Marcel J T Reinders;Marcel J T Reinders
Raimund Leitner;Martin De Biasio;Thomas Arnold;Cuong Viet Dinh
D. de Ridder;M. Loog;M.J.T. Reinders
Marco Loog;Johannes Jisse Duistermaat;Luc Florack
Unknown
Unknown
Unknown
Yan Li;David M. J. Tax;Robert P. W. Duin;Marco Loog
Veronika Cheplygina;David M. J. Tax;Marco Loog
Wouter M. Kouw;Laurens J. P. Van Der Maaten;Jesse H. Krijthe;Marco Loog
Jakob Raundahl;Marco Loog;Mads Nielsen
Ethem Alpaydın;Veronika Cheplygina;Marco Loog;David M.J. Tax
Veronika Cheplygina;David M.J. Tax;Marco Loog
S. Klein;M. Loog;F. van der Lijn;T. den Heijer
If you think any of the details on this page are incorrect, let us know.
Choosing the right educational pathway in Computer Science goes beyond traditional on-campus programs. For those needing flexibility, online associates degrees are an excellent starting point. They offer foundational skills and can lead to entry-level positions or further study.
Affordability and speed are often key concerns. Luckily, there are many cheap online degrees fast available for students eager to enter the tech workforce quickly, without the burden of high tuition costs.
Academic history can also play a role in admissions. For those with less-than-perfect transcripts, consider a college that accepts low gpa to get started on your computer science journey. Many reputable institutions offer supportive environments for all learners.
Finally, a computer science background can pave the way for technology careers across various sectors, even in fields like sustainability and ecology. If you’re curious about options, explore what can you do with an environmental science major for insights into interdisciplinary career paths.
Murdoch University
National Institutes of Health
Kindai University
University of Minnesota
Children's Mercy Hospital
Texas A&M University
MIT
University of Vienna
University of Chicago
University of New Hampshire
Université Libre de Bruxelles
Seoul National University
Universita della Svizzera Italiana
East China University of Science and Technology
University of California, San Diego
Macquarie University
