Rogemar Mamon

1.4k citations
82 papers · 1.0k · h-index 19

Impact in

Papers in

    • Stochastic processes and financial applications 36
    • Financial Risk and Volatility Modeling 24
    • Financial Markets and Investment Strategies 9
    • Complex Systems and Time Series Analysis 13
    • Market Dynamics and Volatility 13

Rogemar Mamon

76 papers receiving 959 citations

Peers

Rogemar Mamon
Comparison fields: 5 of 80
  • Finance 567
  • Management Science and Operations Research 293
  • Demography 237
  • Economics and Econometrics 421
  • General Economics, Econometrics and Finance 76
Replace Rüdiger Kiesel with:
Rüdiger Kiesel Germany
Huyên Pham France
Hoi Ying Wong Hong Kong
Yang Shen Australia
Phelim Boyle Canada
Zhenyu Cui United States
Fausto Gozzi Italy
Ronnie Sircar United States
Marek Rutkowski Australia
Tomasz R. Bielecki United States
Rogemar Mamon relative to Rüdiger Kiesel Germany Rüdiger Kiesel's profile →
Citations per field
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Citations per year

Countries citing papers authored by Rogemar Mamon

Since Specialization
Citations

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

Fields of papers citing papers by Rogemar Mamon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Rogemar Mamon, 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 Rogemar Mamon Line = papers co-authored together Rogemar Mamon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200782
2 200444
3 201044
4 200541
5 200536
6 201136
7 201334
8 202234
9 200833
10 200229
11 201428
12 200828
13 201425
14 200725
15 200725
16 200924
17 201821
18 201019
19 201318
20 200317

About Rogemar Mamon

Rogemar Mamon is a scholar working on Finance, Economics and Econometrics, Management Science and Operations Research, Demography and General Economics, Econometrics and Finance, having authored 82 papers that have together received 1.0k indexed citations. Recurring topics across this work include Stochastic processes and financial applications (36 papers), Financial Risk and Volatility Modeling (24 papers), Insurance, Mortality, Demography, Risk Management (21 papers), Monetary Policy and Economic Impact (14 papers), Complex Systems and Time Series Analysis (13 papers), Market Dynamics and Volatility (13 papers), Financial Markets and Investment Strategies (9 papers) and demographic modeling and climate adaptation (8 papers). The work is most often cited by research in Finance (567 citations), Management Science and Operations Research (293 citations), Demography (237 citations), Economics and Econometrics (421 citations) and General Economics, Econometrics and Finance (76 citations). Rogemar Mamon has collaborated with scholars based in Canada, Philippines and United Kingdom. Frequent co-authors include Robert J. Elliott, Marianito R. Rodrigo, Paresh Date, Matt Davison, Fred Espen Benth, Fabio Spagnolo, Yiyang Chen, Nicola Spagnolo, Tak Kuen Siu and R. Bhushan Gopaluni. Their work appears in journals such as Quantitative Finance, Insurance Mathematics and Economics, Knowledge-Based Systems, Journal of Computational and Applied Mathematics and IMA Journal of Management Mathematics.

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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