Daniel Haak

500 citations
22 papers · 380 · h-index 8

Impact in

Papers in

Daniel Haak

20 papers receiving 370 citations

Peers

Daniel Haak
Comparison fields: 5 of 82
  • Health Informatics 10
  • Oral Surgery 43
  • Archeology 56
  • Psychiatry and Mental health 66
  • Health Information Management 21
Replace Ana Luiza Dallora with:
Ana Luiza Dallora Sweden
Marjan Mansourvar Denmark
Brent Liu United States
Sven Koitka Germany
Toan Duc Bui South Korea
Nagaraj Yamanakkanavar South Korea
Fuli Wu China
Alireza Karimian Iran
Xuechen Li China
Fleming Y. M. Lure United States
Daniel Haak relative to Ana Luiza Dallora Sweden Ana Luiza Dallora's profile →
Citations per field
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Ana Luiza Dallora · 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 19 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

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200393
2 201589
3 201555
4 201537
5 201416
6 201415
7 201513
8 201511
9 20158
10 20147
11 20157
12 20145
13 20135
14 20135
15 20134
16 20143
17 20162
18 20152
19 20162
20 20161

About Daniel Haak

Daniel Haak is a scholar working on Information Systems and Management, Archeology, Computer Vision and Pattern Recognition, Public Health, Environmental and Occupational Health and Radiology, Nuclear Medicine and Imaging, having authored 22 papers that have together received 380 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (7 papers), Forensic Anthropology and Bioarchaeology Studies (4 papers), Biomedical Text Mining and Ontologies (3 papers), Digital Radiography and Breast Imaging (3 papers), Digital Imaging in Medicine (3 papers), Semantic Web and Ontologies (2 papers), Advanced Vision and Imaging (2 papers) and Cell Image Analysis Techniques (2 papers). The work is most often cited by research in Health Informatics (10 citations), Oral Surgery (43 citations), Archeology (56 citations), Psychiatry and Mental health (66 citations) and Health Information Management (21 citations). Daniel Haak has collaborated with scholars based in Germany and United States. Frequent co-authors include Thomas Martin Deserno, né Lehmann, Stephan Jonas, Muhammad Ismail Kashif, Diana O. Perkins, T. Scott Stroup, M S Swartz, Joseph P. McEvoy, Thilo Krüger, Sebastian Daniel Reinartz and Vincent Matthias Brandenburg. Their work appears in journals such as Journal of Imaging Informatics in Medicine, Schizophrenia Bulletin, Computers in Biology and Medicine, Studies in health technology and informatics and Informatik aktuell.

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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