Daniel Haak

484 total citations
16 papers, 331 citations indexed

About

Daniel Haak is a scholar working on Computer Vision and Pattern Recognition, Information Systems and Management and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Daniel Haak has authored 16 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 5 papers in Information Systems and Management and 5 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Daniel Haak's work include Scientific Computing and Data Management (5 papers), Forensic Anthropology and Bioarchaeology Studies (3 papers) and Digital Imaging in Medicine (3 papers). Daniel Haak is often cited by papers focused on Scientific Computing and Data Management (5 papers), Forensic Anthropology and Bioarchaeology Studies (3 papers) and Digital Imaging in Medicine (3 papers). Daniel Haak collaborates with scholars based in Germany and United States. Daniel Haak's co-authors include Thomas M. Deserno, Stephan Jonas, Muhammad Kashif, Diana O. Perkins, M S Swartz, T. Scott Stroup, Joseph P. McEvoy, Thilo Krüger, Sebastian Reinartz and Vincent Brandenburg and has published in prestigious journals such as Schizophrenia Bulletin, Computers in Biology and Medicine and Journal of Digital Imaging.

In The Last Decade

Daniel Haak

16 papers receiving 323 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Daniel Haak Germany	9	74	68	64	48	41	16	331
Aymeric Stamm France	9	13 0.2×	15 0.2×	93 1.5×	19 0.4×	6 0.1×	30	308
D. Rodríguez United Kingdom	11	28 0.4×	53 0.8×	157 2.5×	1 0.0×	6 0.1×	23	367
Brent Liu United States	8	7 0.1×	26 0.4×	89 1.4×	3 0.1×	3 0.1×	51	265
Yuchen Xie China	12	8 0.1×	109 1.6×	497 7.8×	4 0.1×	47 1.1×	26	748
Otto Rienhoff Germany	11	46 0.6×	37 0.5×	12 0.2×	1 0.0×	3 0.1×	54	493
Min Tang China	13	20 0.3×	43 0.6×	120 1.9×		10 0.2×	47	577
Kaisar Kushibar Spain	11	9 0.1×	143 2.1×	200 3.1×	4 0.1×	4 0.1×	16	497
Comeron W. Ghobadi United States	8	4 0.1×	51 0.8×	227 3.5×	3 0.1×	15 0.4×	14	516
Sung-Jong Eun South Korea	9	10 0.1×	43 0.6×	24 0.4×	2 0.0×	2 0.0×	42	261
A.F. Frere Brazil	9	56 0.8×	222 3.3×	157 2.5×		7 0.2×	28	513

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-authorship network of co-authors of Daniel Haak

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Haak. A scholar is included among the top collaborators of Daniel Haak based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel Haak. Daniel Haak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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16 of 16 papers shown

Haak, Daniel, et al.. (2016). Interconnecting smartphone, image analysis server, and case report forms in clinical trials for automatic skin lesion tracking in clinical trials. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9789. 97890B–97890B. 2 indexed citations

Haak, Daniel, et al.. (2016). Electronic data capture and DICOM data management in multi-center clinical trials. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9789. 97890M–97890M. 1 indexed citations

Kashif, Muhammad, Stephan Jonas, Daniel Haak, & Thomas M. Deserno. (2015). Bone age assessment meets SIFT. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9414. 941439–941439. 10 indexed citations

Haak, Daniel, et al.. (2015). A Survey of DICOM Viewer Software to Integrate Clinical Research and Medical Imaging. Journal of Digital Imaging. 29(2). 206–215. 46 indexed citations

Deserno, Thomas M., et al.. (2015). Digital Imaging and Electronic Data Capture in Multi-Center Clinical Trials. Studies in health technology and informatics. 216. 930–930. 8 indexed citations

Haak, Daniel, et al.. (2015). Evaluation of DICOM viewer software for workflow integration in clinical trials. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9418. 94180O–94180O. 12 indexed citations

Kashif, Muhammad, Thomas M. Deserno, Daniel Haak, & Stephan Jonas. (2015). Feature description with SIFT, SURF, BRIEF, BRISK, or FREAK? A general question answered for bone age assessment. Computers in Biology and Medicine. 68. 67–75. 80 indexed citations

Haak, Daniel, et al.. (2015). DICOM for Clinical Research: PACS-Integrated Electronic Data Capture in Multi-Center Trials. Journal of Digital Imaging. 28(5). 558–566. 30 indexed citations

Jose, Abin, Daniel Haak, Stephan Jonas, Vincent Brandenburg, & Thomas M. Deserno. (2015). Human wound photogrammetry with low-cost hardware based on automatic calibration of geometry and color. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9414. 94143J–94143J. 6 indexed citations

10.

Deserno, Thomas M., et al.. (2014). Integrated Image Data and Medical Record Management for Rare Disease Registries. A General Framework and its Instantiation to the German Calciphylaxis Registry. Journal of Digital Imaging. 27(6). 702–713. 15 indexed citations

11.

Haak, Daniel, et al.. (2014). Simplifying Electronic Data Capture in Clinical Trials: Workflow Embedded Image and Biosignal File Integration and Analysis via Web Services. Journal of Digital Imaging. 27(5). 571–580. 12 indexed citations

12.

Deserno, Thomas M., et al.. (2014). Towards quantitative assessment of calciphylaxis. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9035. 90353C–90353C. 7 indexed citations

13.

Haak, Daniel, et al.. (2014). OC ToGo: bed site image integration into OpenClinica with mobile devices. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9039. 903909–903909. 4 indexed citations

14.

Deserno, Thomas M., et al.. (2013). Integrating image management and analysis into OpenClinica using web services. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8674. 86740F–86740F. 5 indexed citations

15.

Haak, Daniel, et al.. (2013). Bone age assessment using support vector regression with smart class mapping. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8670. 86700A–86700A. 4 indexed citations

16.

Swartz, M S, et al.. (2003). Assessing Clinical and Functional Outcomes in the Clinical Antipsychotic Trials of Intervention Effectiveness (CATIE) Schizophrenia Trial. Schizophrenia Bulletin. 29(1). 33–43. 89 indexed citations

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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