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John J. Grefenstette

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 45 7006 6803 3070 2955 102 15718

John J. Grefenstette publications per year

The chart shows the history of publications by John J. Grefenstette between 1983 and 2020, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. John J. Grefenstette published across 38 years, from 1983 to 2020, averaging 3.3 papers a year. Output peaked at 9 publications in 1993. 3 of the 124 publications appeared in the last two years.

No. of publications
2 4 6 8
Bar chart. Horizontal axis: year, 1983 to 2020. Vertical axis: number of publications, 0 to 9. Peak 9 publications in 1993. 1983: 2 publications 1984: 1 publication 1985: 3 publications 1986: 2 publications 1987: 6 publications 1988: 5 publications 1989: 1 publication 1990: 4 publications 1991: 4 publications 1992: 6 publications 1993: 9 publications 1994: 1 publication 1995: 2 publications 1996: 2 publications 1997: 8 publications 1998: 3 publications 1999: 5 publications 2000: 3 publications 2001: 3 publications 2002: 0 publications 2003: 1 publication 2004: 7 publications 2005: 3 publications 2006: 3 publications 2007: 0 publications 2008: 0 publications 2009: 3 publications 2010: 6 publications 2011: 5 publications 2012: 4 publications 2013: 8 publications 2014: 7 publications 2015: 1 publication 2016: 2 publications 2017: 0 publications 2018: 1 publication 2019: 2 publications 2020: 1 publication
1983 2020

124 publications in total across all disciplines

View publications per year as a table
John J. Grefenstette: publications per year, 1983 to 2020
Year Publications
1983 2
1984 1
1985 3
1986 2
1987 6
1988 5
1989 1
1990 4
1991 4
1992 6
1993 9
1994 1
1995 2
1996 2
1997 8
1998 3
1999 5
2000 3
2001 3
2002 0
2003 1
2004 7
2005 3
2006 3
2007 0
2008 0
2009 3
2010 6
2011 5
2012 4
2013 8
2014 7
2015 1
2016 2
2017 0
2018 1
2019 2
2020 1
Total 124
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John J. Grefenstette publications per year - data summary

  • John J. Grefenstette, a Computer Science scholar from University of Pittsburgh, has 124 publications recorded across 38 years, from 1983 to 2020.
  • The oldest publication on record dates to 1983 and the most recent to 2020.
  • The most productive year is 1993, with 9 publications.
  • The least productive years with any output are 1984, 1989, 1994, 2003 and others, with 1 publication each.
  • 4 of the 38 years in the span carry no publications at all (2002, 2007, 2008 and 2017).
  • The rate of publication averages 3.3 papers per year over the whole span, or 3.6 per year counting only the 34 years with at least one publication.
  • The last 5 years on the chart (2016-2020) hold 6 publications, 5% of the career total.
  • Split into equal eras - 1983-1995: 46 publications (3.5 per year); 1996-2008: 38 publications (2.9 per year); 2009-2020: 40 publications (3.3 per year).
  • Comparing the opening and closing eras, the overall trend of publication is broadly steady.

John J. Grefenstette 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 John J. Grefenstette 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, 102–111 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: 102 publications — 9th percentile

9% 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
102–111 420 102
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
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

John J. Grefenstette publication distribution in Computer Science in 2026 - data summary

  • The chart plots the publication count of all 14,188 Computer Science scientists ranked by Research.com in 2026, grouped into 97 ranges running from 32–41 to 991+ publications.
  • John J. Grefenstette, a Computer Science scholar from University of Pittsburgh, records 102 publications - the 9th percentile of the discipline.
  • 9% of ranked Computer Science scientists score the same or lower than John J. Grefenstette, and about 91% score higher.
  • The median of the discipline falls in the 202–211 publications range, and John J. Grefenstette ranks below the median.
  • The most crowded range is 142–151 publications, holding 609 scientists (4% of the field).
  • 70% of the field sits in the lowest quarter of the value range (up to 272–281 publications), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 991 publications or more, 100 scientists in all (<1% of the field).

John J. Grefenstette 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 John J. Grefenstette 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, 44–45 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: 45 D-Index — 51st percentile

51% 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 45
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

John J. Grefenstette D-index placement in Computer Science in 2026 - data summary

  • The chart plots the discipline H-index (D-index) of all 14,188 Computer Science scientists ranked by Research.com in 2026, grouped into 52 ranges running from 30–31 to 131+ D-Index.
  • John J. Grefenstette, a Computer Science scholar from University of Pittsburgh, records 45 D-Index - the 51st percentile of the discipline.
  • 51% of ranked Computer Science scientists score the same or lower than John J. Grefenstette, and about 49% score higher.
  • The median of the discipline falls in the 44–45 D-Index range, and John J. Grefenstette falls inside that same range.
  • The most crowded range is 36–37 D-Index, holding 990 scientists (7% of the field).
  • 71% of the field sits in the lowest quarter of the value range (up to 54–55 D-Index), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 131 D-Index or more, 98 scientists in all (<1% of the field).

Overview

John J. Grefenstette is affiliated with the University of Pittsburgh in the United States. Their research spans several fields, with a primary focus on mathematics and its applications in epidemiology and related areas.

Their scholarly contributions include publications in notable venues such as PLoS Computational Biology, Frontiers in Artificial Intelligence, and the Journal of Applied Research on Children Informing Policy for Children at Risk. The recent papers authored or co-authored by John J. Grefenstette include:

  • Detecting critical slowing down in high-dimensional epidemiological systems, 2020, PLoS Computational Biology
  • Planning as Inference in Epidemiological Dynamics Models, 2022, Frontiers in Artificial Intelligence
  • Interventions in measles outbreaks: the potential reduction in cases associated with school suspension and vaccination interventions, 2020, Journal of Applied Research on Children Informing Policy for Children at Risk

Their work covers multiple main topics, reflecting interdisciplinary interests in epidemiology, ecology, and public health. These topics include:

  • COVID-19 epidemiological studies
  • Ecosystem dynamics and resilience
  • Mental Health Research Topics
  • Climate change impacts on agriculture
  • Complex Systems and Decision Making
  • Vaccine Coverage and Hesitancy
  • Virology and Viral Diseases

Within the broader field of mathematics, John J. Grefenstette's subfields include Modeling and Simulation, Global and Planetary Change, Experimental and Cognitive Psychology, Ecology, Evolution, Behavior and Systematics, and Management Science and Operations Research.

Frequent collaborators in their research have included Mary G. Krauland, Tobias Brett, Marco Ajelli, Quan-Hui Liu, and Willem G. van Panhuis. These partnerships suggest a collaborative approach to investigating epidemiological dynamics and related systems.

Their publications often address complex challenges in modeling epidemiological processes and responses to infectious diseases, emphasizing computational and inferential techniques. Given the topics and venues where they publish, their work contributes to advancing understanding in epidemiological modeling, disease intervention strategies, and broader ecological and mental health impacts.

Best Publications

  • Optimization of Control Parameters for Genetic Algorithms

    John J. Grefenstette

  • Genetic Algorithms for the Traveling Salesman Problem

    John J. Grefenstette;Rajeev Gopal;Brian J. Rosmaita;Dirk Van Gucht

  • Genetic algorithms for changing environments

    John J. Grefenstette

  • A systematic review of barriers to data sharing in public health

    Willem G van Panhuis;Proma Paul;Claudia Emerson;John Grefenstette

  • Credit assignment in rule discovery systems based on genetic algorithms

    John J. Grefenstette

  • Genetic Algorithms for Tracking Changing Environments

    Helen G. Cobb;John J. Grefenstette

  • Genetic Algorithms in Noisy Environments

    J. Michael Fitzpatrick;John J. Grefenstette

  • Evolutionary algorithms for reinforcement learning

    David E. Moriarty;Alan C. Schultz;John J. Grefenstette

  • Learning Sequential Decision Rules Using Simulation Models and Competition

    John J. Grefenstette;Connie Loggia Ramsey;Alan C. Schultz

  • A parallel genetic algorithm

    Chrisila B. Pettey;Michael R. Leuze;John J. Grefenstette

  • Deception Considered Harmful.

    John J. Grefenstette

  • Case-Based Initialization of Genetic Algorithms

    Connie Loggia Ramsey;John J. Grefenstette

  • FRED (A Framework for Reconstructing Epidemic Dynamics): an open-source software system for modeling infectious diseases and control strategies using census-based populations

    John J Grefenstette;Shawn T Brown;Roni Rosenfeld;Jay DePasse

  • A Coevolutionary Approach to Learning Sequential Decision Rules

    Mitchell A. Potter;Kenneth A. De Jong;John J. Grefenstette

  • Genetic Search with Approximate Function Evaluation

    John J. Grefenstette;J. Michael Fitzpatrick

  • Evolvability in dynamic fitness landscapes: a genetic algorithm approach

    J.J. Grefenstette

  • Genetic Algorithms in Noisy Environments

    Unknown

  • A computer simulation of vaccine prioritization, allocation, and rationing during the 2009 H1N1 influenza pandemic.

    Bruce Y. Lee;Shawn T. Brown;Shawn T. Brown;George W. Korch;Philip C. Cooley

  • Lamarckian Learning in Multi-Agent Environments.

    John J. Grefenstette

  • Multi-objective learning via genetic algorithms

    J. David Schaffer;John J. Grefenstette

  • Genetic algorithms and machine learning

    Unknown

  • Genetic algorithms and their applications

    John J. Grefenstette

  • Proceedings of the First International Conference on Genetic Algorithms and their Applications

    John J. Grefenstette

  • parallel genetic algorithm

    C.B. Pettey;M.R. Leuze;J.J. Grefenstette

Frequent Co-Authors

Donald S. Burke
Donald S. Burke University of Pittsburgh
Alan C. Schultz
Alan C. Schultz United States Naval Research Laboratory
Richard K. Zimmerman
Richard K. Zimmerman University of Pittsburgh
Curtis P. Van Tassell
Curtis P. Van Tassell Agricultural Research Service
Roni Rosenfeld
Roni Rosenfeld Carnegie Mellon University
J. Michael Fitzpatrick
J. Michael Fitzpatrick Vanderbilt University
Kenneth de Jong
Kenneth de Jong George Mason University
Jessica G. Burke
Jessica G. Burke University of Pittsburgh
John L. Williams
John L. Williams University of Adelaide
William Barendse
William Barendse Commonwealth Scientific and Industrial Research Organisation

External Links

Personal website of John J. Grefenstette Google Scholar page

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David E. Goldberg

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Publications: 19

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