Matthias Perleth

1.7k total citations
71 papers, 1.2k citations indexed

About

Matthias Perleth is a scholar working on Economics and Econometrics, General Health Professions and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Matthias Perleth has authored 71 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Economics and Econometrics, 31 papers in General Health Professions and 30 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Matthias Perleth's work include Health Systems, Economic Evaluations, Quality of Life (49 papers), Clinical practice guidelines implementation (26 papers) and Healthcare cost, quality, practices (21 papers). Matthias Perleth is often cited by papers focused on Health Systems, Economic Evaluations, Quality of Life (49 papers), Clinical practice guidelines implementation (26 papers) and Healthcare cost, quality, practices (21 papers). Matthias Perleth collaborates with scholars based in Germany, Austria and Canada. Matthias Perleth's co-authors include Philip Yeung, Michael H Bennett, Joerg J Meerpohl, Holger J. Schünemann, Gerald Gartlehner, Gero Langer, Reinhard Busse, Angela Kaminski-Hartenthaler, Reinhard Busse and Elke Jakubowski and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cochrane Database of Systematic Reviews and BMJ.

In The Last Decade

Matthias Perleth

67 papers receiving 1.1k citations

Peers

Matthias Perleth
Carol Forbes United Kingdom
Suzann Pershing United States
Marriner S. Eccles United Kingdom
D Hartwell United Kingdom
Jennifer H. Lofland United States
Ruaraidh Hill United Kingdom
Barbara P. Yawn United States
Kok‐Yong Fong Singapore
Matthias Perleth
Citations per year, relative to Matthias Perleth Matthias Perleth (= 1×) peers Juliane Köberlein–Neu

Countries citing papers authored by Matthias Perleth

Since Specialization
Citations

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

Fields of papers citing papers by Matthias Perleth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthias Perleth

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

All Works

20 of 20 papers shown
1.
Perleth, Matthias, Rossella Di Bidino, Michelle Mujoomdar, et al.. (2022). Disruptive technologies in health care disenchanted: a systematic review of concepts and examples. International Journal of Technology Assessment in Health Care. 38(1). e70–e70. 3 indexed citations
2.
Schulz, Sandra, et al.. (2020). The Evaluation of Orphan Drugs by the German Joint Federal Committee —A n Eight-Year Review. Deutsches Ärzteblatt international. 117(50). 868–869. 1 indexed citations
3.
Fuchs, Sabine, et al.. (2017). Scientific Evidence in Health Technology Assessment Reports: An In-Depth Analysis of European Assessments on High-Risk Medical Devices. Value in Health. 20(10). 1420–1426. 14 indexed citations
4.
Fuchs, Sabine, et al.. (2017). Evidence-based decision-making for diagnostic and therapeutic methods: the changing landscape of assessment approaches in Germany. Health Research Policy and Systems. 15(1). 89–89. 6 indexed citations
5.
Ultsch, B., Oliver Damm, Matthias Perleth, & Ole Wichmann. (2015). Health Economics In Immunization Decision-Making – Results From A Systematic Literature Research and A Stakeholder Symposium In Germany. Value in Health. 18(7). A569–A569. 2 indexed citations
6.
Ultsch, B., Oliver Damm, Philippe Beutels, et al.. (2015). Methods for Health Economic Evaluation of Vaccines and Immunization Decision Frameworks: A Consensus Framework from a European Vaccine Economics Community. PharmacoEconomics. 34(3). 227–244. 95 indexed citations
7.
Gruber, Sabine, et al.. (2013). Lernkurve bei Laserverfahren in der Behandlung des benignen Prostatasyndroms: Ein systematischer Review. Zeitschrift für Evidenz Fortbildung und Qualität im Gesundheitswesen. 107(4-5). 335–343. 7 indexed citations
8.
Perleth, Matthias, Katja Matthias, Gero Langer, et al.. (2013). GRADE-Leitlinien: 10. Den Ressourcenverbrauch berücksichtigen und die Qualität ökonomischer Evidenz bewerten. Zeitschrift für Evidenz Fortbildung und Qualität im Gesundheitswesen. 107(3). 256–268. 2 indexed citations
9.
Langer, Gero, Joerg J Meerpohl, Matthias Perleth, et al.. (2012). GRADE-Leitlinien: 2. Formulierung der Fragestellung und Entscheidung über wichtige Endpunkte. Zeitschrift für Evidenz Fortbildung und Qualität im Gesundheitswesen. 106(5). 369–376. 12 indexed citations
10.
Meerpohl, Joerg J, Gero Langer, Matthias Perleth, et al.. (2012). GRADE-Leitlinien: 4. Bewertung der Qualität der Evidenz – Studienlimitationen (Risiko für Bias). Zeitschrift für Evidenz Fortbildung und Qualität im Gesundheitswesen. 106(6). 457–469. 17 indexed citations
11.
Perleth, Matthias, et al.. (2011). Modellierung der kurzfristigen diagnostischen und ökonomischen Auswirkungen eines Neugeborenen-screenings auf Mukoviszidose. Klinische Pädiatrie. 223(2). 96–103. 5 indexed citations
12.
Gerhardus, Ansgar & Matthias Perleth. (2008). Health Technology Assessment: Mehr als die Bewertung von Kosten und Nutzen?. Zeitschrift für Evidenz Fortbildung und Qualität im Gesundheitswesen. 102(2). 61–62. 2 indexed citations
14.
Perleth, Matthias. (2007). Minimal-invasive Chirurgie. Der Chirurg. 78(6). 511–518. 2 indexed citations
15.
Bennett, Michael H, et al.. (2007). Hyperbaric oxygen for idiopathic sudden sensorineural hearing loss and tinnitus. Cochrane Database of Systematic Reviews. 10(1). CD004739–CD004739. 138 indexed citations
16.
Busse, Reinhard, Marcial Velasco Garrido, Matthias Perleth, et al.. (2002). BEST PRACTICE IN UNDERTAKING AND REPORTING HEALTH TECHNOLOGY ASSESSMENTS. International Journal of Technology Assessment in Health Care. 18(2). 361–422. 161 indexed citations
17.
Perleth, Matthias, Dagmar Lühmann, Bernhard Gibis, & Sigrid Droste. (2001). „Rapid Assessments” - schnelle Bewertung medizinischer Technologien. Das Gesundheitswesen. 63(Suppl. 1). 79–84. 8 indexed citations
18.
Perleth, Matthias & Reinhard Busse. (2000). HEALTH TECHNOLOGY ASSESSMENT IN GERMANY. International Journal of Technology Assessment in Health Care. 16(2). 412–428. 13 indexed citations
19.
Perleth, Matthias, Reinhard Busse, & Friedrich Wilhelm Schwartz. (1999). Regulation of health-related technologies in Germany. Health Policy. 46(2). 105–126. 12 indexed citations
20.
Perleth, Matthias. (1997). The discovery of Chagas' disease and the formation of the early Chagas' disease concept.. PubMed. 19(2). 211–36. 3 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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