Robert Haase

42 papers receiving 1.6k citations

Robert Haase's Hit Papers

Metrics reloaded: recommendations for image analysis validation 2024 · 262 citations
2620+1+2Years since publication50100150200250

Peers

Robert Haase
Comparison fields: 5 of 128
  • Biophysics 246
  • Health Informatics 57
  • Otorhinolaryngology 132
  • Radiation 177
  • Cancer Research 202
Replace David S. Yu with:
David S. Yu United States
Arnout C. C. Ruifrok Netherlands
Eduardo G. Moros United States
Hubert J. Vesselle United States
Jason A. Heth United States
Mortimer L. Mendelsohn United States
Maciej M. Mrugała United States
Hendrikus Jan Dubbink Netherlands
Christian Dullin Germany
Sandra Ines Camelo-Piragua United States
Robert Haase relative to David S. Yu United States David S. Yu's profile →
Citations per field
00.5×5×11.7×
David S. Yu · 1×
Citations per year

Countries citing papers authored by Robert Haase

Since Specialization
Citations

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

Fields of papers citing papers by Robert Haase

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Robert Haase, 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 Robert Haase Line = papers co-authored together Robert Haase 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
Metrics reloaded: recommendations for image analysis validation
Hit paper breakdown →
2024262
2 2012244
3
LABKIT: Labeling and Segmentation Toolkit for Big Image Data
Hit paper breakdown →
2022216
4 2019160
5 201595
6 202065
7 201552
8 202448
9 201642
10 201539
11 202239
12 201038
13 202234
14
Zwei oder vier Stunden [18F]FMISO-PET in Kopf-Hals-Karzinomen:
201132
15 202125
16 202021
17 202118
18 201816
19 202116
20 202316

About Robert Haase

Robert Haase is a scholar working on Biophysics, Otorhinolaryngology, Cancer Research, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 47 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (18 papers), Medical Image Segmentation Techniques (6 papers), Cancer, Hypoxia, and Metabolism (6 papers), Head and Neck Cancer Studies (5 papers), Medical Imaging Techniques and Applications (5 papers), Radiation Therapy and Dosimetry (4 papers), Cellular Mechanics and Interactions (3 papers) and Parallel Computing and Optimization Techniques (3 papers). The work is most often cited by research in Biophysics (246 citations), Health Informatics (57 citations), Otorhinolaryngology (132 citations), Radiation (177 citations) and Cancer Research (202 citations). Robert Haase has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Michael A. Baumann, Daniel Zips, Pavel Tomančák, Florian Jug, Nasreddin Abolmaali, Klaus Zöphel, Deborah Schmidt, Rosalind L. Perrin, Jörg Steinbach and Jörg Kotzerke. Their work appears in journals such as Radiotherapy and Oncology, Nature Methods, Journal of Microscopy, Nature Communications and F1000Research.

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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