World's Best Scientists 2026 revealed!
Philippe Fournier-Viger

Philippe Fournier-Viger

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 62 2941 2856 401 398 451 13523

Philippe Fournier-Viger publications per year

The chart shows the history of publications by Philippe Fournier-Viger between 2005 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Philippe Fournier-Viger published across 22 years, from 2005 to 2026, averaging 22.4 papers a year. Output peaked at 56 publications in 2019. 30 of the 493 publications appeared in the last two years.

No. of publications
10 20 30 40 50
Bar chart. Horizontal axis: year, 2005 to 2026. Vertical axis: number of publications, 0 to 56. Peak 56 publications in 2019. 2005: 4 publications 2006: 4 publications 2007: 4 publications 2008: 6 publications 2009: 8 publications 2010: 6 publications 2011: 11 publications 2012: 8 publications 2013: 9 publications 2014: 11 publications 2015: 23 publications 2016: 42 publications 2017: 38 publications 2018: 34 publications 2019: 56 publications 2020: 30 publications 2021: 56 publications 2022: 48 publications 2023: 34 publications 2024: 31 publications 2025: 29 publications 2026: 1 publication
2005 2026

493 publications in total across all disciplines

View publications per year as a table
Philippe Fournier-Viger: publications per year, 2005 to 2026
Year Publications
2005 4
2006 4
2007 4
2008 6
2009 8
2010 6
2011 11
2012 8
2013 9
2014 11
2015 23
2016 42
2017 38
2018 34
2019 56
2020 30
2021 56
2022 48
2023 34
2024 31
2025 29
2026 1
Total 493
Download as CSV

Philippe Fournier-Viger 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 Philippe Fournier-Viger 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, 442–451 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: 451 publications — 91st percentile

91% 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
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
442–451 108 451
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

Philippe Fournier-Viger 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 Philippe Fournier-Viger 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, 62–63 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: 62 D-Index — 80th percentile

80% 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
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 62
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

Overview

Philippe Fournier-Viger is affiliated with Shenzhen University in China and has a significant publication record in the field of computer science, with a focus on artificial intelligence and data mining. Their research work spans several subfields, including artificial intelligence, information systems, computational theory and mathematics, signal processing, and molecular biology.

The scientist has contributed notably to the study and development of data mining algorithms and applications, covering a range of topics such as rough sets and fuzzy logic, data management and algorithms, imbalanced data classification techniques, algorithms and data compression, advanced database systems and queries, and time series analysis and forecasting.

Frequent coauthors collaborating with Philippe Fournier-Viger include Jerry Chun-Wei Lin, M. Saqib Nawaz, Yulin He, Youxi Wu, and Wensheng Gan.

Philippe Fournier-Viger's recent papers demonstrate an engagement with utility mining, artificial intelligence applications, and pattern mining techniques. Notable recent publications include:

  • "Using artificial intelligence techniques for COVID-19 genome analysis" (2021), published in Applied Intelligence
  • "Fast Utility Mining on Sequence Data" (2020), published in IEEE Transactions on Cybernetics
  • "A predictive GA-based model for closed high-utility itemset mining" (2021), published in Applied Soft Computing
  • "A guided FP-Growth algorithm for mining multitude-targeted item-sets and class association rules in imbalanced data" (2020), published in Information Sciences
  • "Mining High Utility Itemsets with Hill Climbing and Simulated Annealing" (2021), published in ACM Transactions on Management Information Systems

The scientist has contributed extensively to several publication venues over their career. The most frequent of these are Applied Intelligence and Information Sciences, each with 18 publications, arXiv (Cornell University) with 14, Knowledge-Based Systems with 10, and IEEE Access with 7 publications.

Philippe Fournier-Viger has authored multiple books published by Springer Science+Business Media. These works focus on artificial intelligence and data engineering topics, including:

  • "Advances and Trends in Artificial Intelligence. Theory and Practices in Artificial Intelligence" (2022)
  • "Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices" (2020)
  • "Advances in Model and Data Engineering in the Digitalization Era" (2022)
  • "Data Science and Machine Learning" (2023)
  • "Model and Data Engineering" (2022)

Best Publications

  • The SPMF Open-Source Data Mining Library Version 2

    Philippe Fournier-Viger;Jerry Chun-Wei Lin;Antonio Gomariz;Ted Gueniche

  • SPMF: a Java open-source pattern mining library

    Philippe Fournier-Viger;Antonio Gomariz;Ted Gueniche;Azadeh Soltani

  • FHM: Faster High-Utility Itemset Mining using Estimated Utility Co-occurrence Pruning

    Philippe Fournier-Viger;Cheng Wei Wu;Souleymane Zida;Vincent Shin-Mu Tseng

  • A Survey of Utility-Oriented Pattern Mining

    Wensheng Gan;Jerry Chun-Wei Lin;Philippe Fournier-Viger;Han-Chieh Chao

  • Binary dragonfly optimization for feature selection using time-varying transfer functions

    Majdi M. Mafarja;Ibrahim Aljarah;Ali Asghar Heidari;Hossam Faris

  • A Survey of Parallel Sequential Pattern Mining

    Wensheng Gan;Jerry Chun-Wei Lin;Philippe Fournier-Viger;Han-Chieh Chao

  • Fast Vertical Mining of Sequential Patterns Using Co-occurrence Information

    Philippe Fournier-Viger;Antonio Gomariz;Manuel Campos;Rincy Thomas

  • Efficient Algorithms for Mining Top-K High Utility Itemsets

    Vincent S. Tseng;Cheng-Wei Wu;Philippe Fournier-Viger;Philip S. Yu

  • A survey of itemset mining

    Philippe Fournier‐Viger;Jerry Chun‐Wei Lin;Bay Vo;Bay Vo;Tin Truong Chi

  • EFIM: a fast and memory efficient algorithm for high-utility itemset mining

    Souleymane Zida;Philippe Fournier-Viger;Jerry Chun-Wei Lin;Cheng-Wei Wu

  • Frequent itemset mining: A 25 years review

    José María Luna;Philippe Fournier-Viger;Sebastián Ventura;Sebastián Ventura

  • EFIM: A highly efficient algorithm for high-utility itemset mining

    Souleymane Zida;Philippe Fournier-Viger;Jerry Chun Wei Lin;Cheng Wei Wu

  • CMRules: Mining sequential rules common to several sequences

    Philippe Fournier-Viger;Usef Faghihi;Roger Nkambou;Engelbert Mephu Nguifo

  • A survey of incremental high-utility itemset mining

    Wensheng Gan;Jerry Chun-Wei Lin;Philippe Fournier-Viger;Han-Chieh Chao

  • HUOPM: High-Utility Occupancy Pattern Mining

    Wensheng Gan;Jerry Chun-Wei Lin;Philippe Fournier-Viger;Han-Chieh Chao

  • Efficient Algorithms for Mining the Concise and Lossless Representation of High Utility Itemsets

    Vincent S. Tseng;Cheng-Wei Wu;Philippe Fournier-Viger;Philip S. Yu

  • A binary PSO approach to mine high-utility itemsets

    Jerry Chun-Wei Lin;Lu Yang;Philippe Fournier-Viger;Tzung-Pei Hong

  • RuleGrowth: mining sequential rules common to several sequences by pattern-growth

    Philippe Fournier-Viger;Roger Nkambou;Vincent Shin-Mu Tseng

  • VMSP: Efficient vertical mining of maximal sequential patterns

    Philippe Fournier-Viger;Cheng-Wei Wu;Antonio Gomariz;Vincent S. Tseng

  • Mining high-utility itemsets based on particle swarm optimization

    Jerry Chun-Wei Lin;Lu Yang;Philippe Fournier-Viger;Jimmy Ming-Thai Wu

  • Efficient algorithms for mining high-utility itemsets in uncertain databases

    Jerry Chun-Wei Lin;Wensheng Gan;Philippe Fournier-Viger;Tzung-Pei Hong

  • Fingerprint classification and identification algorithms for criminal investigation: A survey

    Khin Nandar Win;Kenli Li;Jianguo Chen;Philippe Fournier Viger

Frequent Co-Authors

Tzung-Pei Hong
Tzung-Pei Hong National University of Kaohsiung
Wensheng Gan
Wensheng Gan Jinan University
Vincent S. Tseng
Vincent S. Tseng National Yang Ming Chiao Tung University
Han-Chieh Chao
Han-Chieh Chao Fo Guang University
Youcef Djenouri
Youcef Djenouri University of South-Eastern Norway
Philip S. Yu
Philip S. Yu University of Illinois at Chicago
Unil Yun
Unil Yun Sejong University
Hamido Fujita
Hamido Fujita University of Technology Malaysia
Miroslav Voznak
Miroslav Voznak Technical University of Ostrava
Bay Vo
Bay Vo Ho Chi Minh City University of Technology

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

If you're considering studying Computer Science in the USA, it's essential to know what alternative online education options and career routes are available. Many students and professionals are exploring short certificate programs that pay well as a way to quickly boost their skills and earning potential. These certifications often focus on vital tech skills and can be completed in a matter of months.

For those seeking more advanced credentials, exploring the shortest online masters degree options can be a smart move. These accelerated programs allow students to earn a master’s in Computer Science or a related field in less time, helping them advance their careers faster.

When selecting a degree, it’s important to consider future demand. Researching the most in demand masters degrees ensures your qualification will stay relevant. Computer Science consistently appears among the most useful and valuable master’s degrees in today's job market.

Alternatively, if you’re starting your academic journey, pursuing an associate degree online offers a flexible and cost-effective way to gain foundational tech skills. Whichever pathway you choose, these diverse options can pave the way for a rewarding career in Computer Science.

Best Scientists Citing Philippe Fournier-Viger

Trending Scientists

Recently Published Articles