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Seiji Isotani

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 41 8795 8545 3760 3611 312 7691

Seiji Isotani publications per year

The chart shows the history of publications by Seiji Isotani between 1993 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Seiji Isotani published across 33 years, from 1993 to 2025, averaging 13.1 papers a year. Output peaked at 48 publications in 2023. 50 of the 431 publications appeared in the last two years.

No. of publications
10 20 30 40
Bar chart. Horizontal axis: year, 1993 to 2025. Vertical axis: number of publications, 0 to 48. Peak 48 publications in 2023. 1993: 2 publications 1994: 2 publications 1995: 1 publication 1996: 0 publications 1997: 0 publications 1998: 0 publications 1999: 0 publications 2000: 0 publications 2001: 0 publications 2002: 0 publications 2003: 2 publications 2004: 2 publications 2005: 2 publications 2006: 3 publications 2007: 4 publications 2008: 8 publications 2009: 7 publications 2010: 8 publications 2011: 14 publications 2012: 14 publications 2013: 13 publications 2014: 19 publications 2015: 30 publications 2016: 27 publications 2017: 32 publications 2018: 34 publications 2019: 30 publications 2020: 19 publications 2021: 27 publications 2022: 33 publications 2023: 48 publications 2024: 29 publications 2025: 21 publications
1993 2025

431 publications in total across all disciplines

View publications per year as a table
Seiji Isotani: publications per year, 1993 to 2025
Year Publications
1993 2
1994 2
1995 1
1996 0
1997 0
1998 0
1999 0
2000 0
2001 0
2002 0
2003 2
2004 2
2005 2
2006 3
2007 4
2008 8
2009 7
2010 8
2011 14
2012 14
2013 13
2014 19
2015 30
2016 27
2017 32
2018 34
2019 30
2020 19
2021 27
2022 33
2023 48
2024 29
2025 21
Total 431
Download as CSV

Seiji Isotani 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 Seiji Isotani sits on this spectrum.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 312–321 publications, is where this scientist sits. 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
32–41 publications 991+

This scientist: 312 publications — 76th percentile

76% of scientists in this discipline score the same or lower.

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

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420
112–121 497
122–131 544
132–141 555
142–151 609
152–161 559
162–171 534
172–181 556
182–191 583
192–201 519
202–211 508
212–221 490
222–231 437
232–241 423
242–251 408
252–261 377
262–271 301
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238 312
322–331 206
332–341 209
342–351 208
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104
412–421 94
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
Download as CSV

Seiji Isotani 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 Seiji Isotani sits on this spectrum.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 40–41 D-Index, is where this scientist sits. 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
30–31 D-Index 131+

This scientist: 41 D-Index — 40th percentile

40% of scientists in this discipline score the same or lower.

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

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983
34–35 918
36–37 990
38–39 968
40–41 907 41
42–43 821
44–45 763
46–47 689
48–49 543
50–51 543
52–53 518
54–55 500
56–57 458
58–59 400
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213
70–71 192
72–73 189
74–75 165
76–77 139
78–79 119
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98
Download as CSV

Research.com Recognitions

  • 2015 - ACM Senior Member

Overview

Seiji Isotani is affiliated with the Universidade de São Paulo in Brazil. Their work primarily centers on the interdisciplinary intersection of Computer Science, Psychology, and Social Sciences.

The main fields of study covered by their research include:

  • Computer Science
  • Psychology
  • Social Sciences

Within these fields, their research further specializes in subfields such as:

  • Developmental and Educational Psychology
  • Computer Science Applications
  • Artificial Intelligence
  • Sociology and Political Science
  • Education

The principal topics that characterize their work are:

  • Educational Games and Gamification
  • Online Learning and Analytics
  • Flow Experience in Various Fields
  • Teaching and Learning Programming
  • Intelligent Tutoring Systems and Adaptive Learning
  • Digital Games and Media
  • Virtual Reality Applications and Impacts

Recent papers authored or coauthored by Seiji Isotani include:

  • "Tailored gamification in education: A literature review and future agenda" (2022), published in Education and Information Technologies
  • "Gamification suffers from the novelty effect but benefits from the familiarization effect: Findings from a longitudinal study" (2022), appearing in International Journal of Educational Technology in Higher Education
  • "The effects of personalized gamification on students' flow experience, motivation, and enjoyment" (2022), featured in Smart Learning Environments
  • "Using learning analytics in the Amazonas: understanding students' behaviour in introductory programming" (2020), published by British Journal of Educational Technology
  • "The relationship between user types and gamification designs" (2021), appearing in User Modeling and User-Adapted Interaction

Seiji Isotani frequently collaborates with several coauthors, including:

  • Ig Ibert Bittencourt
  • Luiz Rodrigues
  • Armando M. Toda
  • Paula T. Palomino
  • Wilk Oliveira

Their work is often published in venues such as:

  • Revista Brasileira de Informática na Educação
  • Anais do XXXIII Simpósio Brasileiro de Informática na Educação (SBIE 2022)
  • RENOTE
  • Education and Information Technologies
  • International Journal of Artificial Intelligence in Education

Among the awards received, Seiji Isotani was named an ACM Senior Member in 2015.

Best Publications

  • A systematic mapping on gamification applied to education

    Simone de Sousa Borges;Vinicius H. S. Durelli;Helena Macedo Reis;Seiji Isotani

  • Tailored gamification in education: A literature review and future agenda

    Unknown

  • The dark side of gamification: an overview of negative effects of gamification in education

    Armando M. Toda;Pedro H. D. Valle;Seiji Isotani

  • The Dark Side of Gamification: An Overview of Negative Effects of Gamification in Education

    Armando Maciel Toda;Pedro Henrique Dias Valle;Seiji Isotani

  • Applications of ontologies in requirements engineering: a systematic review of the literature

    Diego Dermeval;Jéssyka Vilela;Ig Ibert Bittencourt;Jaelson Castro

  • Mineração de Dados Educacionais: Oportunidades para o Brasil

    Ryan Shaun Joazeiro de Baker;Seiji Isotani;Adriana Maria Joazeiro Baker de Carvalho

  • Educational Data Mining: A review of evaluation process in the e-learning

    Marcos Wander Rodrigues;Seiji Isotani;Luiz Enrique Zárate

  • Analysing gamification elements in educational environments using an existing Gamification taxonomy

    Armando Maciel Toda;Armando Maciel Toda;Ana Carolina Tomé Klock;Wilk Oliveira;Paula Toledo Palomino

  • Using erroneous examples to improve mathematics learning with a web-based tutoring system

    Deanne M. Adams;Bruce M. McLaren;Kelley Durkin;Richard E. Mayer

  • The Bright and Dark Sides of Gamification

    Fernando R. Andrade;Riichiro Mizoguchi;Seiji Isotani

  • An Ontology Engineering Approach to the Realization of Theory-Driven Group Formation

    Seiji Isotani;Akiko Inaba;Mitsuru Ikeda;Riichiro Mizoguchi

  • Gamificação Aplicada à Educação: Um Mapeamento Sistemático

    Simone de S. Borges;Helena M. Reis;Vinicius H. S. Durelli;Ig I. Bittencourt

  • An approach for planning and deploying gamification concepts with social networks within educational contexts

    Armando Maciel Toda;Ricardo Melo Casseb do Carmo;Alan Pedro da Silva;Ig Ibert Bittencourt

  • Affective states in computer-supported collaborative learning: Studying the past to drive the future

    Rachel Carlos Duque Reis;Rachel Carlos Duque Reis;Seiji Isotani;Carla Lopes Rodriguez;Carla Lopes Rodriguez;Kamila Takayama Lyra

  • Does gamification work for boys and girls?: An exploratory study with a virtual learning environment

    Lais Z. Pedro;Aparecida M. Z. Lopes;Bruno G. Prates;Julita Vassileva

  • Rule-based expert systems to support step-by-step guidance in algebraic problem solving: The case of the tutor PAT2Math

    Patrícia Augustin Jaques;Henrique M. Seffrin;Geiseane L. Rubi;Felipe de Morais

  • A Taxonomy of Game Elements for Gamification in Educational Contexts: Proposal and Evaluation

    Armando Toda;Wilk Oliveira;Ana Klock;Paula Palomino

  • A Semantic Web-based authoring tool to facilitate the planning of collaborative learning scenarios compliant with learning theories

    Seiji Isotani;Riichiro Mizoguchi;Sadao Isotani;Olimpio M. Capeli

  • The effects of personalized gamification on students’ flow experience, motivation, and enjoyment

    Unknown

  • Research Directions on Semantic Web and Education

    Ig Ibert Bittencourt;Seiji Isotani;Evandro Costa;Riichiro Mizoguchi

  • Does peer assessment in on-line learning environments work? A systematic review of the literature

    Thyago Tenrio;Ig Ibert Bittencourt;Seiji Isotani;Alan Pedro Silva

  • A gamified peer assessment model for on-line learning environments in a competitive context

    Thyago Tenrio;Ig Ibert Bittencourt;Seiji Isotani;Alan Pedro

  • A systematic review on the use of best practices for publishing linked data

    Danila Feitosa;Diego Dermeval;Thiago Ávila;Ig Ibert Bittencourt

Frequent Co-Authors

Riichiro Mizoguchi
Riichiro Mizoguchi Japan Advanced Institute of Science and Technology
Bruce M. McLaren
Bruce M. McLaren Carnegie Mellon University
Juho Hamari
Juho Hamari Tampere University
Richard E. Mayer
Richard E. Mayer University of California, Santa Barbara
Bethany Rittle-Johnson
Bethany Rittle-Johnson Vanderbilt University
Julita Vassileva
Julita Vassileva University of Saskatchewan
José Carlos Maldonado
José Carlos Maldonado Universidade de São Paulo
Jelena Jovanovic
Jelena Jovanovic University of Belgrade
Katrien Verbert
Katrien Verbert KU Leuven
Peter Brusilovsky
Peter Brusilovsky University of Pittsburgh

External Links

Personal website of Seiji Isotani

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Publications: 8

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Publications: 7

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Publications: 7

Juan I. Asensio-Pérez

Juan I. Asensio-Pérez

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Publications: 6

Julita Vassileva

Julita Vassileva

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Publications: 5

Ryan S. Baker

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Publications: 5

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Publications: 5

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Publications: 5

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Publications: 5

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Publications: 4

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Publications: 4

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Publications: 4

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