Vladas Pipiras

2.5k total citations
97 papers, 1.4k citations indexed

About

Vladas Pipiras is a scholar working on Finance, Economics and Econometrics and Statistics and Probability. According to data from OpenAlex, Vladas Pipiras has authored 97 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Finance, 29 papers in Economics and Econometrics and 23 papers in Statistics and Probability. Recurrent topics in Vladas Pipiras's work include Financial Risk and Volatility Modeling (32 papers), Complex Systems and Time Series Analysis (26 papers) and Stochastic processes and financial applications (21 papers). Vladas Pipiras is often cited by papers focused on Financial Risk and Volatility Modeling (32 papers), Complex Systems and Time Series Analysis (26 papers) and Stochastic processes and financial applications (21 papers). Vladas Pipiras collaborates with scholars based in United States, Portugal and France. Vladas Pipiras's co-authors include Murad S. Taqqu, Patrice Abry, Hannes Helgason, Robert Lund, Stilian Stoev, Vadim Belenky, Richard A. Davis, Налини Равишанкер, Scott H. Holan and Konstantinos Fokianos and has published in prestigious journals such as Journal of the American Statistical Association, IEEE Transactions on Information Theory and The Annals of Statistics.

In The Last Decade

Vladas Pipiras

87 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Vladas Pipiras United States	20	782	463	235	233	152	97	1.4k
Stilian Stoev United States	18	601 0.8×	392 0.8×	139 0.6×	272 1.2×	43 0.3×	55	1.3k
Makoto Maejima Japan	21	790 1.0×	335 0.7×	446 1.9×	263 1.1×	215 1.4×	86	1.3k
Jordan Stoyanov United Kingdom	16	558 0.7×	317 0.7×	133 0.6×	340 1.5×	139 0.9×	63	1.3k
Jan Seidler Czechia	14	1.3k 1.6×	415 0.9×	386 1.6×	190 0.8×	270 1.8×	29	2.0k
Jie Xiong China	22	1.3k 1.6×	276 0.6×	365 1.6×	167 0.7×	164 1.1×	167	1.9k
Nicolas Privault Singapore	19	527 0.7×	144 0.3×	306 1.3×	198 0.8×	269 1.8×	157	1.3k
Laurent Decreusefond France	15	579 0.7×	240 0.5×	211 0.9×	108 0.5×	210 1.4×	67	1.0k
Донатас Сургайлис Lithuania	24	1.4k 1.8×	648 1.4×	525 2.2×	550 2.4×	155 1.0×	105	2.0k
Huyên Pham France	21	807 1.0×	268 0.6×	79 0.3×	134 0.6×	85 0.6×	62	1.1k
Yimin Xiao United States	24	1.1k 1.4×	309 0.7×	951 4.0×	106 0.5×	178 1.2×	127	1.7k

Countries citing papers authored by Vladas Pipiras

Since Specialization

Citations

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

Fields of papers citing papers by Vladas Pipiras

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vladas Pipiras

This figure shows the co-authorship network connecting the top 25 collaborators of Vladas Pipiras. A scholar is included among the top collaborators of Vladas Pipiras 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 Vladas Pipiras. Vladas Pipiras is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Pipiras, Vladas, et al.. (2024). Augmented degree correction for bipartite networks with applications to recommender systems. Applied Network Science. 9(1).

Lund, Robert, et al.. (2024). High-dimensional latent Gaussian count time series: Concentration results for autocovariances and applications. Electronic Journal of Statistics. 18(2). 1 indexed citations

Shigunov, Vladimir, et al.. (2024). Benchmarking of direct counting approaches. Ocean Engineering. 296. 116649–116649. 2 indexed citations

Pipiras, Vladas, et al.. (2023). Calibration of low-fidelity ship motion programs through regressions of high-fidelity forces. Ocean Engineering. 290. 116321–116321. 2 indexed citations

Lindquist, Kristen A., et al.. (2023). Detecting Changes in Correlation Networks with Application to Functional Connectivity of FMRI Data. Psychometrika. 88(2). 636–655. 1 indexed citations

Levine, Michael, et al.. (2023). Multi-fidelity data-adaptive autonomous seakeeping. Ocean Engineering. 292. 116322–116322. 3 indexed citations

Bhamidi, Shankar, et al.. (2023). Learning attribute and homophily measures through random walks. Applied Network Science. 8(1).

Belenky, Vadim, et al.. (2023). Estimation of probability of large roll angle with envelope peaks over threshold method. Ocean Engineering. 290. 116296–116296. 6 indexed citations

Belenky, Vadim, et al.. (2023). Estimation of probability of capsizing with split-time method. Ocean Engineering. 292. 116452–116452. 6 indexed citations

10.

Pipiras, Vladas, et al.. (2023). Statistical inference for mean and variance of oscillatory processes. Ocean Engineering. 289. 116215–116215.

11.

Davis, Richard A., Konstantinos Fokianos, Scott H. Holan, et al.. (2021). Count Time Series: A Methodological Review. Journal of the American Statistical Association. 116(535). 1533–1547. 70 indexed citations

12.

Pipiras, Vladas, et al.. (2019). Asymptotic results for multivariate local Whittle estimation with applications. 584–588. 2 indexed citations

13.

Pipiras, Vladas, et al.. (2019). Asymptotics of bivariate local Whittle estimators with applications to fractal connectivity. Journal of Statistical Planning and Inference. 205. 245–268. 5 indexed citations

14.

Lund, Robert, et al.. (2018). Latent Gaussian Count Time Series Modeling. arXiv (Cornell University). 4 indexed citations

15.

Pipiras, Vladas & Murad S. Taqqu. (2017). Long-Range Dependence and Self-Similarity. Cambridge University Press eBooks. 20 indexed citations

16.

Pipiras, Vladas, et al.. (2012). Inverting flow durations from sampled traffic. 1–8. 1 indexed citations

17.

Abry, Patrice, Pierre Chainais, Laure Coutin, & Vladas Pipiras. (2009). Multifractal Random Walks as Fractional Wiener Integrals. IEEE Transactions on Information Theory. 55(8). 3825–3846. 13 indexed citations

18.

Pipiras, Vladas. (2005). Wavelet-based simulation of fractional Brownian motion revisited. Applied and Computational Harmonic Analysis. 19(1). 49–60. 86 indexed citations

19.

Pipiras, Vladas & Murad S. Taqqu. (2002). Decomposition of self-similar stable mixed moving averages. Probability Theory and Related Fields. 123(3). 412–452. 17 indexed citations

20.

Pipiras, Vladas & Murad S. Taqqu. (2002). Deconvolution of fractional brownian motion. Journal of Time Series Analysis. 23(4). 487–501. 1 indexed citations

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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