Daniela Koller

110 papers receiving 3.6k citations

Peers

Daniela Koller
Comparison fields: 5 of 168
  • Immunology and Allergy 369
  • Geriatrics and Gerontology 133
  • Computer Vision and Pattern Recognition 563
  • Physiology 573
  • Epidemiology 639
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Michael J. Goodman United States
Shuyang Zhang China
David Anderson United States
Yong Gyu Park South Korea
Ajay Kumar Mishra United States
Kyung‐Yul Lee South Korea
Xingmei Wang China
Narinder Pal Singh Australia
Robert F. Wolff United Kingdom
Altamiro Costa‐Pereira Portugal
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Citations per field
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Michael J. Goodman · 1×
Citations per year

Countries citing papers authored by Daniela Koller

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Koller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 119 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010317
2 2002299
3 2011288
4 2006267
5 2011115
6 2014112
7 2014108
8
Automatic symbolic traffic scene analysis using belief networks
199496
9 199593
10 200283
11 199581
12 199178
13 199778
14 199470
15 199267
16 199967
17 199766
18 201562
19 201660
20 201458

About Daniela Koller

Daniela Koller is a scholar working on General Health Professions, Immunology and Allergy, Epidemiology, Physiology and Emergency Medical Services, having authored 119 papers that have together received 3.8k indexed citations. Recurring topics across this work include Health and Medical Studies (16 papers), Chronic Disease Management Strategies (12 papers), Asthma and respiratory diseases (10 papers), Allergic Rhinitis and Sensitization (8 papers), Advanced Vision and Imaging (6 papers), Video Surveillance and Tracking Methods (5 papers), Cystic Fibrosis Research Advances (5 papers) and Autonomous Vehicle Technology and Safety (5 papers). The work is most often cited by research in Immunology and Allergy (369 citations), Geriatrics and Gerontology (133 citations), Computer Vision and Pattern Recognition (563 citations), Physiology (573 citations) and Epidemiology (639 citations). Daniela Koller has collaborated with scholars based in Germany, Austria and Netherlands. Frequent co-authors include Gerd Glaeske, Hendrik van den Bussche, Gerhard Schön, Heike Hansen, Radvan Urbanek, Hanna Kaduszkiewicz, Karl Wegscheider, Jitendra Malik, Joseph W. Weber and Falk Hoffmann. Their work appears in journals such as Allergy, BMJ Open, Archives of Disease in Childhood, American Journal of Respiratory and Critical Care Medicine and Clinical & Experimental Allergy.

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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