World's Best Scientists 2026 revealed!
Eduardo R. Hruschka

Eduardo R. Hruschka

D-Index & Metrics

Computer Science

D-Index
32
Citations
6115
World Ranking
12963
National Ranking
62

Eduardo R. Hruschka publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Eduardo R. Hruschka sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 119 publications — 14th percentile

14% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Eduardo R. Hruschka D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Eduardo R. Hruschka sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 32 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Eduardo R. Hruschka is affiliated with the Universidade de São Paulo in Brazil. Their research focuses primarily on the field of Computer Science, with a specialization in Artificial Intelligence.

The main topics of their work include:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Speech and dialogue systems

Eduardo R. Hruschka has contributed to academic publications through the following paper:

  • Contextualised Word Embeddings Based on Transfer Learning to Dialogue Response Generation: a Proposal and Comparisons (2021), published at the 2021 International Symposium on Electrical, Electronics and Information Engineering

Frequent co-authors collaborating with Eduardo R. Hruschka include:

  • Thomaz Calasans
  • Anna Helena Reali Costa

In terms of publication venues, Eduardo R. Hruschka's work appears in the following:

  • 2021 International Symposium on Electrical, Electronics and Information Engineering

Their research engages with advanced computational techniques for language understanding and generation, particularly focusing on dialogue systems and topic modeling approaches within artificial intelligence. The work explores the application of transfer learning and contextual embeddings to improve natural language processing tasks.

Best Publications

  • A Survey of Evolutionary Algorithms for Clustering

    E.R. Hruschka;R.J.G.B. Campello;A.A. Freitas;A.C.P.L.F. de Carvalho

  • Data stream clustering: A survey

    Jonathan A. Silva;Elaine R. Faria;Rodrigo C. Barros;Eduardo R. Hruschka

  • Tweet sentiment analysis with classifier ensembles

    Nádia F.F. da Silva;Eduardo R. Hruschka;Estevam R. Hruschka

  • A fuzzy extension of the silhouette width criterion for cluster analysis

    Ricardo J. G. B. Campello;Eduardo R. Hruschka

  • Relative clustering validity criteria: A comparative overview

    Lucas Vendramin;Ricardo J. G. B. Campello;Eduardo R. Hruschka

  • Relative clustering validity criteria: A comparative overview: Relative Clustering Validity Criteria

    Lucas Vendramin;Ricardo J. G. B. Campello;Eduardo R. Hruschka

  • Evolving clusters in gene-expression data

    Eduardo R. Hruschka;Ricardo J. G. B. Campello;Leandro N. de Castro

  • A genetic algorithm for cluster analysis

    Eduardo R. Hruschka;Nelson F. f. Ebecken

  • Simultaneous co-clustering and learning to address the cold start problem in recommender systems

    Andre Luiz Vizine Pereira;Eduardo Raul Hruschka

  • On the Comparison of Relative Clustering Validity Criteria.

    Lucas Vendramin;Ricardo J. G. B. Campello;Eduardo R. Hruschka

  • Efficiency issues of evolutionary k-means

    M. C. Naldi;R. J. G. B. Campello;E. R. Hruschka;A. C. P. L. F. Carvalho

  • Document Clustering for Forensic Analysis: An Approach for Improving Computer Inspection

    L. F. da Cruz Nassif;E. R. Hruschka

  • An evolutionary algorithm for clustering data streams with a variable number of clusters

    Jonathan de Andrade Silva;Eduardo Raul Hruschka;João Gama

  • Combining Classification and Clustering for Tweet Sentiment Analysis

    Luiz Fernando Sommaggio Coletta;Nadia Felix Felipe da Silva;Eduardo Raul Hruschka;Estevam Rafael Hruschka

  • Collaborative Fuzzy Clustering Algorithms: Some Refinements and Design Guidelines

    L. F. S. Coletta;L. Vendramin;E. R. Hruschka;R. J. G. B. Campello

  • A Survey and Comparative Study of Tweet Sentiment Analysis via Semi-Supervised Learning

    Nadia Felix F. Da Silva;Luiz F. S. Coletta;Eduardo R. Hruschka

  • Evolutionary algorithms for clustering gene-expression data

    E.R. Hruschka;L.N. de Castro;R.J.G.B. Campello

  • EXTRACTING RULES FROM MULTILAYER PERCEPTRONS IN CLASSIFICATION PROBLEMS: A CLUSTERING-BASED APPROACH

    Eduardo R. Hruschka;Nelson F.F. Ebecken

  • Bayesian networks for imputation in classification problems

    Estevam R. Hruschka;Eduardo R. Hruschka;Nelson F. Ebecken

  • Using unsupervised information to improve semi-supervised tweet sentiment classification

    Nádia Félix Felipe da Silva;Luiz F.S. Coletta;Eduardo R. Hruschka;Estevam R. Hruschka

  • Meta-learning to select the best meta-heuristic for the Traveling Salesman Problem

    Jorge Kanda;Andre de Carvalho;Eduardo Hruschka;Carlos Soares

Frequent Co-Authors

Ricardo J. G. B. Campello
Ricardo J. G. B. Campello University of Southern Denmark
Joydeep Ghosh
Joydeep Ghosh The University of Texas at Austin
André C. P. L. F. de Carvalho
André C. P. L. F. de Carvalho Universidade de São Paulo
Carlos Soares
Carlos Soares University of Porto
Leandro Nunes de Castro
Leandro Nunes de Castro Florida Gulf Coast University
João Gama
João Gama University of Porto
Raymond J. Mooney
Raymond J. Mooney The University of Texas at Austin
Wagner Meira
Wagner Meira Universidade Federal de Minas Gerais
Alex A. Freitas
Alex A. Freitas University of Kent
Witold Pedrycz
Witold Pedrycz University of Alberta

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