Martin Mayer

27 papers receiving 361 citations

Hit Papers

GRADE Guidance 34: update on rating imprecision using a m...2022202620232024202220234080120

Peers

Martin Mayer
Comparison fields: 5 of 121
  • Public Health, Environmental and Occupational Health 51
  • Pulmonary and Respiratory Medicine 47
  • Surgery 46
  • Epidemiology 42
  • Cardiology and Cardiovascular Medicine 41
Replace K Claxton with:
K Claxton United Kingdom
Mohammad‐Reza Malekpour Iran
Hélène Chevrou‐Séverac Switzerland
Wei‐Chen Lee United States
Cláudia Furtado Portugal
Jeong Yun Park South Korea
Seyyed‐Hadi Ghamari Iran
Yueqin Zhao United States
Tara Gurung United Kingdom
Martin Mayer relative to K Claxton United Kingdom K Claxton's profile →
Citations per field
00.5×10×16.3×
K Claxton · 1×
Citations per year

Countries citing papers authored by Martin Mayer

Since Specialization
Citations

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

Fields of papers citing papers by Martin Mayer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Mayer

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Mayer. A scholar is included among the top collaborators of Martin Mayer 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 Mayer. Martin Mayer 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
#WorkIndexed citations
1 6
2 1
3
GRADE guidance 36: updates to GRADE's approach to addressing inconsistencybreakdown →
73
4 3
5
GRADE Guidance 34: update on rating imprecision using a minimally contextualized approachbreakdown →
137
6 1
7 10
8 2
9 2
10 1
11 0
12 2
13 1
14 22
15 2
16
Comments on Lynn A. Stourt's \The Investor Confidence Game
1
17
Risk Reduction in the New Financial Arc h i t e c t u re
0
18 1
19
Nightmare on Wall Street: Salomon Brothers and the Corruption of the Marketplace
1
20 4

About Martin Mayer

Martin Mayer is a scholar working on Statistics, Probability and Uncertainty, Internal Medicine and Finance, having authored 30 papers that have together received 383 indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (6 papers), Health Systems, Economic Evaluations, Quality of Life (6 papers) and Banking stability, regulation, efficiency (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (31 citations), Finance (27 citations) and General Economics, Econometrics and Finance (16 citations). Martin Mayer has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Holger J. Schünemann, Reem A. Mustafa, Alfonso Iorio, Monica Hultcrantz, Elie A. Akl, D.A.J. Rand, M. Hassan Murad, Gordon Guyatt, Romina Brignardello‐Petersen and Linan Zeng. Their work appears in journals such as Annals of Internal Medicine, Journal of Power Sources and Journal of Clinical Epidemiology.

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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