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Mathematics
Argentina
2026

D-Index & Metrics

Mathematics

D-Index
43
Citations
13171
World Ranking
1651
National Ranking
2

Victor J. Yohai publication distribution in Mathematics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where Victor J. Yohai sits on this spectrum.

42–46 publications: 3 scientists 47–51 publications: 5 scientists 52–56 publications: 7 scientists 57–61 publications: 20 scientists 62–66 publications: 14 scientists 67–71 publications: 25 scientists 72–76 publications: 19 scientists 77–81 publications: 35 scientists 82–86 publications: 50 scientists 87–91 publications: 60 scientists 92–96 publications: 86 scientists 97–101 publications: 84 scientists 102–106 publications: 83 scientists 107–111 publications: 90 scientists 112–116 publications: 99 scientists 117–121 publications: 90 scientists 122–126 publications: 91 scientists 127–131 publications: 109 scientists 132–136 publications: 110 scientists 137–141 publications: 98 scientists 142–146 publications: 112 scientists 147–151 publications: 102 scientists 152–156 publications: 88 scientists 157–161 publications: 106 scientists 162–166 publications: 83 scientists 167–171 publications: 102 scientists 172–176 publications: 77 scientists 177–181 publications: 81 scientists 182–186 publications: 78 scientists 187–191 publications: 71 scientists 192–196 publications: 92 scientists 197–201 publications: 64 scientists 202–206 publications: 69 scientists 207–211 publications: 64 scientists 212–216 publications: 62 scientists 217–221 publications: 58 scientists 222–226 publications: 53 scientists 227–231 publications: 50 scientists 232–236 publications: 46 scientists 237–241 publications: 46 scientists 242–246 publications: 46 scientists 247–251 publications: 43 scientists 252–256 publications: 29 scientists 257–261 publications: 45 scientists 262–266 publications: 30 scientists 267–271 publications: 33 scientists 272–276 publications: 34 scientists 277–281 publications: 30 scientists 282–286 publications: 31 scientists 287–291 publications: 21 scientists 292–296 publications: 34 scientists 297–301 publications: 26 scientists 302–306 publications: 10 scientists 307–311 publications: 17 scientists 312–316 publications: 23 scientists 317–321 publications: 13 scientists 322–326 publications: 16 scientists 327–331 publications: 26 scientists 332–336 publications: 13 scientists 337–341 publications: 13 scientists 342–346 publications: 16 scientists 347–351 publications: 17 scientists 352–356 publications: 12 scientists 357–361 publications: 18 scientists 362–366 publications: 18 scientists 367–371 publications: 9 scientists 372–376 publications: 11 scientists 377–381 publications: 8 scientists 382–386 publications: 8 scientists 387–391 publications: 9 scientists 392–396 publications: 9 scientists 397–401 publications: 8 scientists 402–406 publications: 11 scientists 407–411 publications: 6 scientists 412–416 publications: 6 scientists 417–421 publications: 9 scientists 422–426 publications: 8 scientists 427–431 publications: 5 scientists 432–436 publications: 8 scientists 437–441 publications: 8 scientists 442–446 publications: 4 scientists 447–451 publications: 4 scientists 452–456 publications: 4 scientists 457–461 publications: 2 scientists 462–466 publications: 2 scientists 467–471 publications: 4 scientists 472–476 publications: 3 scientists 477–481 publications: 3 scientists 482–486 publications: 6 scientists 487–491 publications: 3 scientists 492–496 publications: 5 scientists 497–501 publications: 5 scientists 502–506 publications: 1 scientists 507–511 publications: 6 scientists 512–516 publications: 4 scientists 517–521 publications: 1 scientists 522–526 publications: 3 scientists 527–531 publications: 1 scientists 532–536 publications: 4 scientists 537+ publications: 100 scientists
42 publications 537+

This scientist: 153 publications — 39th percentile

39% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 537 publications or more.

Victor J. Yohai D-index placement in Mathematics in 2026

The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where Victor J. Yohai sits on this spectrum.

30 D-Index: 174 scientists 31 D-Index: 151 scientists 32 D-Index: 174 scientists 33 D-Index: 117 scientists 34 D-Index: 136 scientists 35 D-Index: 127 scientists 36 D-Index: 145 scientists 37 D-Index: 153 scientists 38 D-Index: 150 scientists 39 D-Index: 150 scientists 40 D-Index: 138 scientists 41 D-Index: 136 scientists 42 D-Index: 93 scientists 43 D-Index: 108 scientists 44 D-Index: 115 scientists 45 D-Index: 112 scientists 46 D-Index: 103 scientists 47 D-Index: 75 scientists 48 D-Index: 59 scientists 49 D-Index: 67 scientists 50 D-Index: 60 scientists 51 D-Index: 57 scientists 52 D-Index: 59 scientists 53 D-Index: 62 scientists 54 D-Index: 60 scientists 55 D-Index: 50 scientists 56 D-Index: 42 scientists 57 D-Index: 54 scientists 58 D-Index: 50 scientists 59 D-Index: 42 scientists 60 D-Index: 41 scientists 61 D-Index: 35 scientists 62 D-Index: 40 scientists 63 D-Index: 21 scientists 64 D-Index: 31 scientists 65 D-Index: 27 scientists 66 D-Index: 29 scientists 67 D-Index: 19 scientists 68 D-Index: 25 scientists 69 D-Index: 17 scientists 70 D-Index: 18 scientists 71 D-Index: 12 scientists 72 D-Index: 14 scientists 73 D-Index: 13 scientists 74 D-Index: 18 scientists 75 D-Index: 9 scientists 76 D-Index: 11 scientists 77 D-Index: 10 scientists 78 D-Index: 9 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 10 scientists 82 D-Index: 5 scientists 83 D-Index: 5 scientists 84 D-Index: 13 scientists 85 D-Index: 6 scientists 86+ D-Index: 99 scientists
30 D-Index 86+

This scientist: 43 D-Index — 54th percentile

54% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 86 D-Index or more.

Research.com Recognitions

  • 2026 - Research.com Mathematics in Argentina Leader Award
  • 2025 - Research.com Mathematics in Argentina Leader Award
  • 2020 - Fellow of the American Statistical Association (ASA)
  • 1986 - Fellow of John Simon Guggenheim Memorial Foundation

Overview

Victor J. Yohai is a researcher affiliated with the University of Buenos Aires in Argentina. Their academic work primarily focuses on the field of Mathematics, with a concentration in Statistics and Probability. Throughout their career, they have contributed to several related subfields including Finance, Artificial Intelligence, Statistical Methods and Bayesian Inference, and Applied Mathematics.

The research topics covered by Victor J. Yohai include:

  • Advanced Statistical Methods and Models
  • Statistical Methods and Inference
  • Financial Risk and Volatility Modeling
  • Advanced Statistical Process Monitoring
  • Statistical Methods and Bayesian Inference
  • Statistical Distribution Estimation and Applications
  • Bayesian Methods and Mixture Models

Recent peer-reviewed publications reflect their engagement with robust statistical methods and time series analysis. Notable papers include:

  • "A Review of Outlier Detection and Robust Estimation Methods for High Dimensional Time Series Data," 2023, Econometrics and Statistics
  • "Sparse estimation of dynamic principal components for forecasting high-dimensional time series," 2020, International Journal of Forecasting
  • "gdpc: An R Package for Generalized Dynamic Principal Components," 2020, Journal of Statistical Software
  • "M estimators based on the probability integral transformation with applications to count data," 2020, Statistics & Probability Letters
  • "Robust Model-Based Clustering," 2022, Journal of Data Science Statistics and Visualisation

Their collaborative work involves frequent coauthors such as Daniel Peña, Ricardo A. Maronna, Ezequiel Smucler, Ruben H. Zamar, and Marina Valdora. The range of publication venues where their research appears includes Econometrics and Statistics, International Journal of Forecasting, Journal of Statistical Software, Statistics & Probability Letters, and Journal of Data Science Statistics and Visualisation.

Victor J. Yohai has been recognized with professional honors including the Fellowship of the American Statistical Association (ASA) in 2020 and the Fellowship of the John Simon Guggenheim Memorial Foundation in 1986.

Best Publications

  • Robust Statistics: Theory and Methods

    Ricardo A. Maronna;R. Douglas Martin;Victor J. Yohai

  • HIGH BREAKDOWN-POINT AND HIGH EFFICIENCY ROBUST ESTIMATES FOR REGRESSION

    Victor J. Yohai

  • ROBUST REGRESSION BY MEANS OF S-ESTIMATORS

    Peter Rousseeuw;Victor Yohai

  • High Breakdown-Point Estimates of Regression by Means of the Minimization of an Efficient Scale

    Victor J. Yohai;Ruben H. Zamar

  • Influence Functionals for Time Series

    R. Douglas Martin;Victor J. Yohai

  • The Behavior of the Stahel-Donoho Robust Multivariate Estimator

    Ricardo A. Maronna;Víctor J. Yohai

  • A Fast Algorithm for S-Regression Estimates

    Matías Salibian-Barrera;Víctor J Yohai

  • A class of robust and fully efficient regression estimators

    Daniel Gervini;Victor J. Yohai

  • ASYMPTOTIC BEHAVIOR OF M-ESTIMATORS FOR THE LINEAR MODEL

    Victor J. Yohai;Ricardo A. Maronna

  • Robust Estimates for ARMA Models

    Oscar H. Bustos;Victor J. Yohai

  • A Procedure for Robust Estimation and Inference in Linear Regression

    Victor J. Yohai;Werner A. Stahel;Ruben H. Zamar

  • Robust Estimation in the Logistic Regression Model

    Ana M. Bianco;Víctor J. Yohai;Víctor J. Yohai

  • Asymptotic behavior of general M-estimates for regression and scale with random carriers

    Ricardo A. Maronna;Victor J. Yohai

  • Propagation of outliers in multivariate data

    Fatemah Alqallaf;Stefan Van Aelst;Victor J. Yohai;Ruben H. Zamar

  • Min-Max Bias Robust Regression

    R D Martin;V J Yohai;R H Zamar

  • Bias- and efficiency-robustness of general M-estimators for regression with random carriers

    Ricardo Maronna;Oscar Bustos;Victor Yohai

  • Outlier Detection in Regression Models with ARIMA Errors using Robust Estimates

    A. M. Bianco;M. García Ben;E. J. Martínez;V. J. Yohai

  • Robust estimates for GARCH models

    Nora Muler;Victor J. Yohai

  • A Bivariate Test for the Detection of a Systematic Change in Mean

    Ricardo Maronna;Victor J. Yohai

  • 4 Robustness in time series and estimating ARMA models

    R. Douglas Martin;Victor J. Yohai

Frequent Co-Authors

Daniel Peña
Daniel Peña Carlos III University of Madrid
Ricardo Fraiman
Ricardo Fraiman University of the Republic
David Ruppert
David Ruppert Cornell University
Mia Hubert
Mia Hubert KU Leuven
Miguel Beato
Miguel Beato Centre for Genomic Regulation
Simon J. Sheather
Simon J. Sheather University of Kentucky
David E. Tyler
David E. Tyler Rutgers, The State University of New Jersey
Minoru S.H. Ko
Minoru S.H. Ko Keio University

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