Martin Haag

513 total citations
28 papers, 300 citations indexed

About

Martin Haag is a scholar working on Public Health, Environmental and Occupational Health, Family Practice and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Martin Haag has authored 28 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Public Health, Environmental and Occupational Health, 5 papers in Family Practice and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Martin Haag's work include Innovations in Medical Education (6 papers), Clinical Reasoning and Diagnostic Skills (5 papers) and Radiology practices and education (3 papers). Martin Haag is often cited by papers focused on Innovations in Medical Education (6 papers), Clinical Reasoning and Diagnostic Skills (5 papers) and Radiology practices and education (3 papers). Martin Haag collaborates with scholars based in Germany, Netherlands and Switzerland. Martin Haag's co-authors include Burkhard Tönshoff, Sören Huwendiek, Cees van der Vleuten, Georg F. Hoffmann, Bas A. de Leng, Hans Martin Bosse, Burkhard Tönshoff, Reinhold Haux, Diana Dolmans and Sebastian Garde and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Medical Education.

In The Last Decade

Martin Haag

24 papers receiving 287 citations

Peers

Martin Haag

PHEOH

PHYSI

RNMI

EDUCA

Susan Albright United States

Gerry Gormley United Kingdom

Mike Paget Canada

Julian Manzone Canada

Judith Brenner United States

Natalia Stathakarou Sweden

Janet Corral United States

Laurence Dufresne Canada

Nikolai Schuelper Germany

Emily Conradi United Kingdom

Susan Albright United States

Martin Haag

162 ×1.0

PHEOH

71 ×0.8

PHYSI

55 ×0.6

47 ×0.9

RNMI

69 ×1.5

EDUCA

Citations per year, relative to Martin Haag Martin Haag (= 1×) peers Susan Albright

Countries citing papers authored by Martin Haag

Since Specialization

Citations

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

Fields of papers citing papers by Martin Haag

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Haag

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Haag. A scholar is included among the top collaborators of Martin Haag 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 Martin Haag. Martin Haag is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Karg, Marina V., et al.. (2024). OPTINOFA – Intelligenter Assistenzdienst zur strukturierten Ersteinschätzung in der Notaufnahme. Medizinische Klinik - Intensivmedizin und Notfallmedizin. 120(3). 208–221. 1 indexed citations

Kesztyüs, Dorothea, et al.. (2023). Proposal of a Method for Transferring High-Quality Scientific Literature Data to Virtual Patient Cases Using Categorical Data Generated by Bernoulli-Distributed Random Values: Development and Prototypical Implementation. JMIR Medical Education. 9. e43988–e43988.

Haag, Martin, et al.. (2021). Automated Size Recognition in Pediatric Emergencies Using Machine Learning and Augmented Reality: Within-Group Comparative Study. JMIR Formative Research. 5(9). e28345–e28345. 5 indexed citations

Haag, Martin, et al.. (2020). Mobile Robotic Telepresence Between Hospital and School: Lessons Learned. Studies in health technology and informatics. 271. 256–262. 2 indexed citations

Haag, Martin, Petra Knaup, Dagmar Krefting, et al.. (2020). Digital teaching as an instrument for cross-location teaching networks in medical informatics: opportunities and challenges. SHILAP Revista de lepidopterología. 37(6). Doc56–Doc56. 4 indexed citations

Haag, Martin, et al.. (2019). Speech Recognition Evaluation of a State-Of-The-Art Smartglass in the Use Case Pediatric Resuscitation. Studies in health technology and informatics. 262. 67–70. 1 indexed citations

Haag, Martin, et al.. (2019). Evaluation of Depth Cameras for Use as an Augmented Reality Emergency Ruler. Studies in health technology and informatics. 260. 17–24. 1 indexed citations

Wollmann, Thomas, Farhad Abtahi, Aboozar Eghdam, et al.. (2016). User-Centred Design and Usability Evaluation of a Heart Rate Variability Biofeedback Game. IEEE Access. 4. 5531–5539. 18 indexed citations

Haag, Martin, et al.. (2014). Development of an Accommodative Smartphone App for Medical Guidelines in Pediatric Emergencies. Studies in health technology and informatics. 198. 87–92. 7 indexed citations

10.

Huwendiek, Sören, Bas A. de Leng, Diana Dolmans, et al.. (2013). Learner preferences regarding integrating, sequencing and aligning virtual patients with other activities in the undergraduate medical curriculum: A focus group study. Medical Teacher. 35(11). 920–929. 35 indexed citations

11.

Haag, Martin, et al.. (2010). Detection of Body Movement and Measurement of Physiological Stress with a Mobile Chest Module in Obesity Prevention. PUB – Publications at Bielefeld University (Bielefeld University). 74. 1 indexed citations

12.

Haag, Martin & Sören Huwendiek. (2010). The Virtual Patient for Education and Training: A Critical Review of the Literature. it - Information Technology. 52(5). 281–287. 2 indexed citations

13.

Donkers, Jeroen, et al.. (2009). ENRICHING VIRTUAL PATIENTS WITH INTERACTIVE IMAGES. Bio-Algorithms and Med-Systems. 5(9). 73–77.

14.

Haag, Martin, et al.. (2009). Demonstration of the CAMPUS Virtual Patient System.. Bio-Algorithms and Med-Systems. 5. 65. 1 indexed citations

15.

Huwendiek, Sören, Hans Martin Bosse, Bas A. de Leng, et al.. (2009). Design principles for virtual patients: a focus group study among students. Medical Education. 43(6). 580–588. 88 indexed citations

16.

Haag, Martin, et al.. (2008). Challenges in the Evolution of the Medical Informatics Program at Heidelberg/Heilbronn (Germany). Methods of Information in Medicine. 48(1). 66–75. 6 indexed citations

17.

Haag, Martin, et al.. (2007). Challenges and Perspectives of Computerassisted Instruction in Medical Education. Methods of Information in Medicine. 46(1). 67–69. 14 indexed citations

18.

Jünger, Jana, et al.. (2006). Development and usage of a secure assessment software system for the medical education. SHILAP Revista de lepidopterología. 1 indexed citations

19.

Garde, Sebastian, et al.. (2006). Can design principles of traditional learning theories be fulfilled by computer-based training systems in medicine: The example of CAMPUS. International Journal of Medical Informatics. 76(2-3). 124–129. 22 indexed citations

20.

Haag, Martin, et al.. (1999). Web-based training: a new paradigm in computer-assisted instruction in medicine. International Journal of Medical Informatics. 53(1). 79–90. 39 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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