András Fülöp

616 citations
32 papers · 335 indexed · h-index 10
Topics
Stochastic processes and financial applications (9 papers)Financial Risk and Volatility Modeling (9 papers)Credit Risk and Financial Regulations (8 papers)
Partner nations
FranceSingaporeChina

In The Last Decade

András Fülöp

30 papers receiving 318 citations

Peers

András Fülöp
Comparison fields: 5 of 55
  • Finance 234
  • Economics and Econometrics 110
  • Statistics and Probability 59
  • General Economics, Econometrics and Finance 43
  • Artificial Intelligence 38
Replace Junye Li with:
Junye Li China
Thomas Breuer Austria
Craig A. Friedman United States
Daniel Egloff Switzerland
Serge Darolles France
Rolf Poulsen Denmark
Christian Menn Germany
Marcelo G. Cruz Australia
Christoph Wagner Germany
Pavel A. Stoimenov Germany
András Fülöp relative to Junye Li China Junye Li's profile →
Citations per field
00.5×1.5×1.9×
Junye Li · 1×
Citations per year

Countries citing papers authored by András Fülöp

Since Specialization
Citations

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

Fields of papers citing papers by András Fülöp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of András Fülöp

This figure shows the co-authorship network connecting the top 25 collaborators of András Fülöp. A scholar is included among the top collaborators of András Fülöp 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 András Fülöp. András Fülöp 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 1
2 1
3 16
4 2
5 5
6 1
7 3
8 3
9 1
10 3
11 4
12 3
13 8
14 1
15 4
16 33
17
Learning via Simulation: A Marginalized Resample-Move Approach
0
18 7
19 11
20
How liquid is the CDS market
9

About András Fülöp

András Fülöp is a scholar working on Finance, Statistics and Probability and General Economics, Econometrics and Finance, having authored 32 papers that have together received 335 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (9 papers), Financial Risk and Volatility Modeling (9 papers) and Credit Risk and Financial Regulations (8 papers). The work is most often cited by research in Finance (234 citations), Statistics and Probability (59 citations) and General Economics, Econometrics and Finance (43 citations). András Fülöp has collaborated with scholars based in France, Singapore and China. Frequent co-authors include Junye Li, Jin‐Chuan Duan, Jun Yu, András Horváth, Hening Liu, Jeremy Heng, Ágnes Kemény, Balázs Rózsa, Daniel L. Farkas and Rolland Gyulai. Their work appears in journals such as Review of Financial Studies, International Journal of Molecular Sciences and Journal of Econometrics.

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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