János Mayer

1.2k citations
26 papers · 461 indexed · h-index 10

Impact in

Papers in

János Mayer

21 papers receiving 420 citations

Peers

János Mayer
Comparison fields: 5 of 76
  • General Decision Sciences 48
  • Management Science and Operations Research 260
  • Finance 109
  • Statistics and Probability 56
  • Control and Systems Engineering 145
Replace Csaba I. Fábián with:
Csaba I. Fábián Hungary
Jianjun Gao China
Pavlo A. Krokhmal United States
William B. Haskell United States
Martin Branda Czechia
Manfred Schäl Germany
Zhaolin Hu China
Ralph E. Strauch United States
Churlzu Lim United States
Dietmar Maringer Switzerland
János Mayer relative to Csaba I. Fábián Hungary Csaba I. Fábián's profile →
Citations per field
00.5×3.7×
Csaba I. Fábián · 1×
Citations per year

Countries citing papers authored by János Mayer

Since Specialization
Citations

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

Fields of papers citing papers by János Mayer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 11 scholars most cited alongside János Mayer, 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 János Mayer Line = papers co-authored together János Mayer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20222
3 20141
4 20143
5 201414
6 20131
7 20121
8 20101
9 201011
10 200724
11 20066
12 20060
13 200573
14 200425
15 20000
16 199625
17 19944
18 19923
19 19900
20 198917

About János Mayer

János Mayer is a scholar working on General Decision Sciences, Management Science and Operations Research, Finance, Numerical Analysis and Economics and Econometrics, having authored 26 papers that have together received 461 indexed citations. Recurring topics across this work include Risk and Portfolio Optimization (12 papers), Decision-Making and Behavioral Economics (6 papers), Financial Markets and Investment Strategies (6 papers), Insurance and Financial Risk Management (3 papers), Insurance, Mortality, Demography, Risk Management (3 papers), Stochastic processes and financial applications (3 papers), Advanced Optimization Algorithms Research (3 papers) and Economic theories and models (3 papers). The work is most often cited by research in General Decision Sciences (48 citations), Management Science and Operations Research (260 citations), Finance (109 citations), Statistics and Probability (56 citations) and Control and Systems Engineering (145 citations). János Mayer has collaborated with scholars based in Switzerland, Norway and China. Frequent co-authors include Peter Kall, Thorsten Hens, Enrico De Giorgi, Tamás Terlaky, Enrico G. De Giorgi, Tibor Illés, István Deák, P. Kall, Peter P. Pott and András Prékopa. Their work appears in journals such as Computational Economics, Engineering Optimization, European Journal of Operational Research, The Journal of Computational Finance and Optimization.

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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