Imre Kondor

2.7k citations
55 papers · 1.8k indexed · 1 hit paper · h-index 19
Topics
Theoretical and Computational Physics (29 papers)Complex Systems and Time Series Analysis (28 papers)Financial Risk and Volatility Modeling (12 papers)

In The Last Decade

Imre Kondor

53 papers receiving 1.7k citations

Hit Papers

Modeling bursts and heavy tails in human dynamics20062026201220192006100200300400

Peers

Imre Kondor
Comparison fields: 5 of 119
  • Statistical and Nonlinear Physics 711
  • Condensed Matter Physics 693
  • Economics and Econometrics 525
  • Atomic and Molecular Physics, and Optics 275
  • Finance 256
Replace Kevin E. Bassler with:
Kevin E. Bassler United States
Robert Savit United States
Iddo Eliazar Israel
Heiko Leschhorn Germany
Bo Zheng China
Pierre Cizeau France
Aleksander Weron Poland
G. J. Rodgers United Kingdom
Thomas Guhr Germany
Z. Burda Poland
Imre Kondor relative to Kevin E. Bassler United States Kevin E. Bassler's profile →
Citations per field
00.5×2.8×
Kevin E. Bassler · 1×
Citations per year

Countries citing papers authored by Imre Kondor

Since Specialization
Citations

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

Fields of papers citing papers by Imre Kondor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Imre Kondor

This figure shows the co-authorship network connecting the top 25 collaborators of Imre Kondor. A scholar is included among the top collaborators of Imre Kondor 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 Imre Kondor. Imre Kondor 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 42
2
Analytic solution to variance optimization with no short positions
8
3 11
4 2
5 3
6 9
7
Modeling bursts and heavy tails in human dynamicsbreakdown →
465
8 37
9 11
10
Advances in computer simulation : lectures held at the Eötvös Summer School in Budapest, Hungary, 16-20, July 1996
1
11 84
12 9
13 19
14 62
15 3
16 5
17 0
18 13
19 7
20 2

About Imre Kondor

Imre Kondor is a scholar working on Condensed Matter Physics, Finance and Statistical and Nonlinear Physics, having authored 55 papers that have together received 1.8k indexed citations. Recurring topics across this work include Theoretical and Computational Physics (29 papers), Complex Systems and Time Series Analysis (28 papers) and Financial Risk and Volatility Modeling (12 papers). The work is most often cited by research in Condensed Matter Physics (693 citations), Statistical and Nonlinear Physics (711 citations) and Finance (256 citations). Imre Kondor has collaborated with scholars based in Hungary, France and United Kingdom. Frequent co-authors include C. De Dominicis, Alexei Vázquez, J. G. Oliveira, Zoltán Dezső, K.-I. Goh, Albert-Ĺaszló Barabási, P. Szépfalusy, T. Temesvári, Gábor P. Nagy and G. Györgyi. Their work appears in journals such as Physical review. B, Condensed matter, Journal of Banking & Finance and Physics Letters A.

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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