Daniel Haak

484 citations
16 papers · 331 · h-index 9

Impact in

Papers in

Daniel Haak

16 papers receiving 323 citations

Peers

Daniel Haak
Comparison fields: 5 of 89
  • Health Informatics 8
  • Oral Surgery 41
  • Psychiatry and Mental health 74
  • Archeology 48
  • Health Information Management 20
Replace Ankita Singh with:
Ankita Singh India
Otto Rienhoff Germany
Brent Liu United States
D. Rodríguez United Kingdom
Nagaraj Yamanakkanavar South Korea
Gür Emre Güraksın Türkiye
Xuechen Li China
Aymeric Stamm France
Kaisar Kushibar Spain
Craig A. Morioka United States
Daniel Haak relative to Ankita Singh India Ankita Singh's profile →
Citations per field
00.5×10×16×
Ankita Singh · 1×
Citations per year

Countries citing papers authored by Daniel Haak

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Haak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Daniel Haak, 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 Daniel Haak Line = papers co-authored together Daniel Haak links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 200389
2 201580
3 201546
4 201530
5 201415
6 201412
7 201512
8 201510
9 20158
10 20147
11 20156
12 20135
13 20144
14 20134
15 20162
16 20161

About Daniel Haak

Daniel Haak is a scholar working on Computer Vision and Pattern Recognition, Information Systems and Management, Public Health, Environmental and Occupational Health, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 16 papers that have together received 331 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (5 papers), Digital Radiography and Breast Imaging (3 papers), Forensic Anthropology and Bioarchaeology Studies (3 papers), Digital Imaging in Medicine (3 papers), Health and Medical Research Impacts (2 papers), Human Pose and Action Recognition (2 papers), Biomedical Text Mining and Ontologies (2 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Health Informatics (8 citations), Oral Surgery (41 citations), Psychiatry and Mental health (74 citations), Archeology (48 citations) and Health Information Management (20 citations). Daniel Haak has collaborated with scholars based in Germany and United States. Frequent co-authors include Thomas M. Deserno, Stephan Jonas, Muhammad Kashif, M S Swartz, T. Scott Stroup, Diana O. Perkins, Joseph P. McEvoy, Sebastian Reinartz, Thilo Krüger and Vincent Brandenburg. Their work appears in journals such as Journal of Digital Imaging, Computers in Biology and Medicine, Schizophrenia Bulletin, Studies in health technology and informatics and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

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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