World's Best Scientists 2026 revealed!
Mário César Ugulino de Araújo

Mário César Ugulino de Araújo

D-Index & Metrics

Chemistry

D-Index
46
Citations
8105
World Ranking
16007
National Ranking
135

Mário César Ugulino de Araújo publication distribution in Chemistry in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Chemistry in 2026. The highlighted bar marks where Mário César Ugulino de Araújo sits on this spectrum.

61–80 publications: 66 scientists 81–100 publications: 302 scientists 101–120 publications: 623 scientists 121–140 publications: 918 scientists 141–160 publications: 1,218 scientists 161–180 publications: 1,350 scientists 181–200 publications: 1,344 scientists 201–220 publications: 1,281 scientists 221–240 publications: 1,216 scientists 241–260 publications: 1,100 scientists 261–280 publications: 979 scientists 281–300 publications: 939 scientists 301–320 publications: 764 scientists 321–340 publications: 643 scientists 341–360 publications: 628 scientists 361–380 publications: 522 scientists 381–400 publications: 459 scientists 401–420 publications: 397 scientists 421–440 publications: 327 scientists 441–460 publications: 270 scientists 461–480 publications: 265 scientists 481–500 publications: 252 scientists 501–520 publications: 201 scientists 521–540 publications: 185 scientists 541–560 publications: 148 scientists 561–580 publications: 148 scientists 581–600 publications: 132 scientists 601–620 publications: 114 scientists 621–640 publications: 104 scientists 641–660 publications: 91 scientists 661–680 publications: 92 scientists 681–700 publications: 73 scientists 701–720 publications: 57 scientists 721–740 publications: 54 scientists 741–760 publications: 67 scientists 761–780 publications: 45 scientists 781–800 publications: 46 scientists 801–820 publications: 39 scientists 821–840 publications: 32 scientists 841–860 publications: 36 scientists 861–880 publications: 29 scientists 881–900 publications: 26 scientists 901–920 publications: 24 scientists 921–940 publications: 14 scientists 941–960 publications: 23 scientists 961–980 publications: 28 scientists 981–1,000 publications: 15 scientists 1,001–1,020 publications: 29 scientists 1,021–1,040 publications: 12 scientists 1,041–1,060 publications: 19 scientists 1,061–1,080 publications: 12 scientists 1,081–1,100 publications: 6 scientists 1,101–1,120 publications: 8 scientists 1,121–1,140 publications: 12 scientists 1,141–1,160 publications: 5 scientists 1,161–1,180 publications: 6 scientists 1,181–1,200 publications: 14 scientists 1,201–1,220 publications: 7 scientists 1,221–1,240 publications: 2 scientists 1,241–1,260 publications: 6 scientists 1,261–1,280 publications: 4 scientists 1,281–1,294 publications: 6 scientists 1,295+ publications: 100 scientists
61 publications 1,295+

This scientist: 202 publications — 33rd percentile

33% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,295 publications or more.

Mário César Ugulino de Araújo D-index placement in Chemistry in 2026

The chart shows the D-index (discipline H-index) distribution of Chemistry scientists ranked by Research.com in 2026. The highlighted bar marks where Mário César Ugulino de Araújo sits on this spectrum.

40–41 D-Index: 289 scientists 42–43 D-Index: 612 scientists 44–45 D-Index: 808 scientists 46–47 D-Index: 776 scientists 48–49 D-Index: 835 scientists 50–51 D-Index: 861 scientists 52–53 D-Index: 872 scientists 54–55 D-Index: 933 scientists 56–57 D-Index: 1,051 scientists 58–59 D-Index: 930 scientists 60–61 D-Index: 882 scientists 62–63 D-Index: 834 scientists 64–65 D-Index: 731 scientists 66–67 D-Index: 775 scientists 68–69 D-Index: 683 scientists 70–71 D-Index: 646 scientists 72–73 D-Index: 561 scientists 74–75 D-Index: 501 scientists 76–77 D-Index: 437 scientists 78–79 D-Index: 388 scientists 80–81 D-Index: 354 scientists 82–83 D-Index: 292 scientists 84–85 D-Index: 275 scientists 86–87 D-Index: 254 scientists 88–89 D-Index: 235 scientists 90–91 D-Index: 185 scientists 92–93 D-Index: 192 scientists 94–95 D-Index: 155 scientists 96–97 D-Index: 163 scientists 98–99 D-Index: 125 scientists 100–101 D-Index: 105 scientists 102–103 D-Index: 105 scientists 104–105 D-Index: 112 scientists 106–107 D-Index: 88 scientists 108–109 D-Index: 68 scientists 110–111 D-Index: 69 scientists 112–113 D-Index: 65 scientists 114–115 D-Index: 79 scientists 116–117 D-Index: 61 scientists 118–119 D-Index: 44 scientists 120–121 D-Index: 37 scientists 122–123 D-Index: 40 scientists 124–125 D-Index: 33 scientists 126–127 D-Index: 26 scientists 128–129 D-Index: 34 scientists 130–131 D-Index: 35 scientists 132–133 D-Index: 25 scientists 134–135 D-Index: 27 scientists 136–137 D-Index: 17 scientists 138–139 D-Index: 16 scientists 140–141 D-Index: 20 scientists 142–143 D-Index: 20 scientists 144–145 D-Index: 15 scientists 146–147 D-Index: 9 scientists 148–149 D-Index: 9 scientists 150–151 D-Index: 16 scientists 152–153 D-Index: 11 scientists 154–155 D-Index: 9 scientists 156–157 D-Index: 3 scientists 158 D-Index: 3 scientists 159+ D-Index: 98 scientists
40 D-Index 159+

This scientist: 46 D-Index — 12th percentile

12% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 159 D-Index or more.

Best Publications

  • A method for calibration and validation subset partitioning.

    Roberto Kawakami Harrop Galvão;Mário César Ugulino Araujo;Gledson Emídio José;Marcio José Coelho Pontes

  • The successive projections algorithm

    Sófacles Figueredo Carreiro Soares;Adriano A. Gomes;Mario Cesar Ugulino Araujo;Arlindo Rodrigues Galvão Filho

  • The successive projections algorithm for spectral variable selection in classification problems

    Márcio José Coelho Pontes;Roberto Kawakami Harrop Galvão;Mário César Ugulino Araújo;Pablo Nogueira Teles Moreira

  • Classification of distilled alcoholic beverages and verification of adulteration by near infrared spectrometry

    M.J.C. Pontes;S.R.B. Santos;M.C.U. Araújo;L.F. Almeida

  • NIR spectrometric determination of quality parameters in vegetable oils using iPLS and variable selection

    Alessandra Félix Costa Pereira;Márcio José Coelho Pontes;Francisco Fernandes Gambarra Neto;Sérgio Ricardo Bezerra Santos

  • Synthesis of highly fluorescent carbon dots from lemon and onion juices for determination of riboflavin in multivitamin/mineral supplements.

    Severino S. Monte-Filho;Stefani I.E. Andrade;Marcelo B. Lima;Mario C.U. Araujo

  • Determination of total sulfur in diesel fuel employing NIR spectroscopy and multivariate calibration

    Márcia C Breitkreitz;Ivo M Júnior Raimundo;Jarbas J R Rohwedder;Celio Pasquini

  • Digital image-based titrations.

    Edvaldo da Nobrega Gaiao;Valdomiro Lacerda Martins;Wellington da Silva Lyra;Luciano Farias de Almeida

  • Classification of Brazilian soils by using LIBS and variable selection in the wavelet domain.

    Marcio Jose Coelho Pontes;Juliana Cortez;Roberto Kawakami Harrop Galvao;Celio Pasquini

  • Screening analysis to detect adulterations in Brazilian gasoline samples using distillation curves

    Fabio Santos de Oliveira;Leonardo Sena Gomes Teixeira;Mario Cesar Ugulino Araujo;Mauro Korn

  • UV–Vis spectrometric classification of coffees by SPA–LDA

    Urijatan Teixeira Carvalho Polari Souto;Márcio José Coelho Pontes;Edvan Cirino Silva;Roberto Kawakami Harrop Galvão

  • Flow-batch analysis

    Paulo Henrique Gonçalves Dias Diniz;Luciano Farias de Almeida;David Peter Harding;Mário César Ugulino de Araújo

  • A flow-batch titrator exploiting a one-dimensional optimisation algorithm for end point search

    R. S. Honorato;Mario César U. Araújo;Ricardo A. C. Lima;Elias Ayres Guidetti Zagatto

  • Modified microelectrodes and multivariate calibration for flow injection amperometric simultaneous determination of ascorbic acid, dopamine, epinephrine and dipyrone.

    Renato C. Matos;Lúcio Angnes;Mário C. U. Araújo;Teresa C. B. Saldanha

  • Near infrared reflectance spectrometry classification of cigarettes using the successive projections algorithm for variable selection.

    Edilene Dantas Teles Moreira;Márcio José Coelho Pontes;Roberto Kawakami Harrop Galvão;Mário César Ugulino Araújo

  • Identification of adulteration in ground roasted coffees using UV–Vis spectroscopy and SPA-LDA

    Urijatan Teixeira de Carvalho Polari Souto;Mayara Ferreira Barbosa;Hebertty Vieira Dantas;Aline Santos de Pontes

  • Aspects of the successive projections algorithm for variable selection in multivariate calibration applied to plasma emission spectrometry

    Roberto Kawakami Harrop Galvão;Maria Fernanda Pimentel;Mario Cesar Ugulino Araujo;Takashi Yoneyama

  • Digital image-based flame emission spectrometry.

    Wellington Silva Lyra;Vagner Bezerra dos Santos;Amália Geiza Gama Dionízio;Valdomiro Lacerda Martins

  • Modeling excitation-emission fluorescence matrices with pattern recognition algorithms for classification of Argentine white wines according grape variety

    Silvana M. Azcarate;Adriano de Araújo Gomes;Mirta R. Alcaraz;Mário C. Ugulino de Araújo

  • A digital image-based method for determining of total acidity in red wines using acid-base titration without indicator.

    Adamastor Rodrigues Tôrres;Wellington da Silva Lyra;Stéfani Iury Evangelista de Andrade;Renato Allan Navarro Andrade

Frequent Co-Authors

Roberto Kawakami Harrop Galvão
Roberto Kawakami Harrop Galvão Instituto Tecnológico de Aeronáutica
Elias A.G. Zagatto
Elias A.G. Zagatto Universidade de São Paulo
Héctor C. Goicoechea
Héctor C. Goicoechea National University of the Littoral
José L. F. C. Lima
José L. F. C. Lima University of Porto
Ana Maria Oliveira-Brett
Ana Maria Oliveira-Brett University of Coimbra
Yvan Vander Heyden
Yvan Vander Heyden Vrije Universiteit Brussel
Sergio Luis Costa Ferreira
Sergio Luis Costa Ferreira Federal University of Bahia
Seyed Saeid Mohtasebi
Seyed Saeid Mohtasebi University of Tehran
Wouter Saeys
Wouter Saeys KU Leuven
Boaventura F. Reis
Boaventura F. Reis Universidade de São Paulo

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