World's Best Scientists 2026 revealed!

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 51 5272 5124 2429 2345 183 12635

Peter J. Haas publications per year

The chart shows the history of publications by Peter J. Haas between 1976 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Peter J. Haas published across 50 years, from 1976 to 2025, averaging 5.7 papers a year. Output peaked at 20 publications in 2015. 10 of the 284 publications appeared in the last two years.

No. of publications
5 10 15 20
Bar chart. Horizontal axis: year, 1976 to 2025. Vertical axis: number of publications, 0 to 20. Peak 20 publications in 2015. 1976: 1 publication 1977: 0 publications 1978: 0 publications 1979: 0 publications 1980: 0 publications 1981: 2 publications 1982: 1 publication 1983: 0 publications 1984: 0 publications 1985: 3 publications 1986: 1 publication 1987: 3 publications 1988: 3 publications 1989: 4 publications 1990: 0 publications 1991: 2 publications 1992: 4 publications 1993: 4 publications 1994: 2 publications 1995: 4 publications 1996: 3 publications 1997: 4 publications 1998: 5 publications 1999: 6 publications 2000: 1 publication 2001: 8 publications 2002: 14 publications 2003: 8 publications 2004: 12 publications 2005: 10 publications 2006: 13 publications 2007: 12 publications 2008: 10 publications 2009: 13 publications 2010: 6 publications 2011: 11 publications 2012: 14 publications 2013: 11 publications 2014: 8 publications 2015: 20 publications 2016: 4 publications 2017: 12 publications 2018: 6 publications 2019: 8 publications 2020: 5 publications 2021: 5 publications 2022: 6 publications 2023: 5 publications 2024: 6 publications 2025: 4 publications
1976 2025

284 publications in total across all disciplines

View publications per year as a table
Peter J. Haas: publications per year, 1976 to 2025
Year Publications
1976 1
1977 0
1978 0
1979 0
1980 0
1981 2
1982 1
1983 0
1984 0
1985 3
1986 1
1987 3
1988 3
1989 4
1990 0
1991 2
1992 4
1993 4
1994 2
1995 4
1996 3
1997 4
1998 5
1999 6
2000 1
2001 8
2002 14
2003 8
2004 12
2005 10
2006 13
2007 12
2008 10
2009 13
2010 6
2011 11
2012 14
2013 11
2014 8
2015 20
2016 4
2017 12
2018 6
2019 8
2020 5
2021 5
2022 6
2023 5
2024 6
2025 4
Total 284
Download as CSV

Peter J. Haas 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 Peter J. Haas 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, 182–191 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: 183 publications — 40th percentile

40% 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
182–191 583 183
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

Peter J. Haas 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 Peter J. Haas 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, 50–51 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: 51 D-Index — 63rd percentile

63% 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 51
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

  • 2016 - Fellow of the Institute for Operations Research and the Management Sciences (INFORMS)
  • 2013 - ACM Fellow For leadership in probabilistic methods for the management and analysis of data and for system simulation.

Overview

Peter J. Haas is affiliated with the University of Massachusetts Amherst in the United States. Their primary field of study is Computer Science, with a focus on several subfields including Artificial Intelligence, Nuclear and High Energy Physics, Computer Networks and Communications, Signal Processing, and Computer Vision and Pattern Recognition.

Their research covers a range of topics, notably Data Management and Algorithms, Advanced Database Systems and Queries, High-Energy Particle Collisions Research, Quantum Chromodynamics and Particle Interactions, Palliative Care and End-of-Life Issues, Simulation Techniques and Applications, and Data Stream Mining Techniques.

Peter J. Haas has authored multiple papers in prominent academic venues. Recent publications include:

  • "Integrated, cross-sectoral psycho-oncology (isPO): a new form of care for newly diagnosed cancer patients in Germany" (2022) published in BMC Health Services Research
  • "Enhanced Simulation Metamodeling via Graph and Generative Neural Networks" (2022) presented at the 2022 Winter Simulation Conference (WSC)
  • "NIM: Generative Neural Networks for Automated Modeling and Generation of Simulation Inputs" (2023) featured in ACM Transactions on Modeling and Computer Simulation
  • "Evaluating Psychosocial Support Provided by an Augmented Reality Device for Children With Type 1 Diabetes" (2021) presented at the Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care
  • "Planning for Implementation Success of an Electronic Cross-Facility Health Record for Pediatric Palliative Care Using the Consolidated Framework for Implementation Research (CFIR)" (2022) published in International Journal of Environmental Research and Public Health

Frequent coauthors working with Peter J. Haas include Alexandra Meliou, Azza Abouzied, Matteo Brucato, J. Friedrich, and S. Gerassimov, reflecting collaboration across multiple research projects.

The scientist's frequent publication venues further illustrate their research breadth, with multiple papers appearing in arXiv (Cornell University), Proceedings of the VLDB Endowment, ACM Transactions on Modeling and Computer Simulation, BMC Health Services Research, and the 2022 Winter Simulation Conference (WSC).

Peter J. Haas has been recognized within the scientific community through awards such as the ACM Fellow title awarded in 2013 for leadership in probabilistic methods for the management and analysis of data and for system simulation. In 2016, they were also named a Fellow of the Institute for Operations Research and the Management Sciences (INFORMS).

Best Publications

  • Online aggregation

    Joseph M. Hellerstein;Peter J. Haas;Helen J. Wang

  • Improved histograms for selectivity estimation of range predicates

    Viswanath Poosala;Peter J. Haas;Yannis E. Ioannidis;Eugene J. Shekita

  • Large-scale matrix factorization with distributed stochastic gradient descent

    Rainer Gemulla;Erik Nijkamp;Peter J. Haas;Yannis Sismanis

  • Synopses for Massive Data: Samples, Histograms, Wavelets, Sketches

    Graham Cormode;Minos Garofalakis;Peter J. Haas;Chris Jermaine

  • Ripple joins for online aggregation

    Peter J. Haas;Joseph M. Hellerstein

  • Stochastic Petri Nets: Modelling, Stability, Simulation

    Peter J. Haas

  • CORDS: automatic discovery of correlations and soft functional dependencies

    Ihab F. Ilyas;Volker Markl;Peter Haas;Paul Brown

  • Sampling-Based Estimation of the Number of Distinct Values of an Attribute

    Peter J. Haas;Jeffrey F. Naughton;S. Seshadri;Lynne Stokes

  • The New Jersey Data Reduction Report.

    Daniel Barbará;William DuMouchel;Christos Faloutsos;Peter J. Haas

  • MCDB: a monte carlo approach to managing uncertain data

    Ravi Jampani;Fei Xu;Mingxi Wu;Luis Leopoldo Perez

  • Watermarking relational data: framework, algorithms and analysis

    Rakesh Agrawal;Peter J. Haas;Jerry Kiernan

  • Ricardo: integrating R and Hadoop

    Sudipto Das;Yannis Sismanis;Kevin S. Beyer;Rainer Gemulla

  • Interactive data analysis: the Control project

    J.M. Hellerstein;R. Avnur;A. Chou;C. Hidber

  • Sequential sampling procedures for query size estimation

    Peter J. Haas;Arun N. Swami

  • On synopses for distinct-value estimation under multiset operations

    Kevin Beyer;Peter J. Haas;Berthold Reinwald;Yannis Sismanis

  • Automated hypothesis generation based on mining scientific literature

    Scott Spangler;Angela D. Wilkins;Benjamin J. Bachman;Meena Nagarajan

  • Selectivity and Cost Estimation for Joins Based on Random Sampling

    Peter J. Haas;Jeffrey F. Naughton;S. Seshadri;Arun N. Swami

  • A new two-phase sampling based algorithm for discovering association rules

    Bin Chen;Peter Haas;Peter Scheuermann

  • Large-sample and deterministic confidence intervals for online aggregation

    P.J. Haas

  • GORDIAN: efficient and scalable discovery of composite keys

    Yannis Sismanis;Paul Brown;Peter J. Haas;Berthold Reinwald

Frequent Co-Authors

Volker Markl
Volker Markl Technical University of Berlin
Rainer Gemulla
Rainer Gemulla University of Mannheim
Berthold Reinwald
Berthold Reinwald IBM (United States)
Guy M. Lohman
Guy M. Lohman IBM (United States)
Joseph M. Hellerstein
Joseph M. Hellerstein University of California, Berkeley
Wang-Chiew Tan
Wang-Chiew Tan Facebook (United States)
Paul P. Maglio
Paul P. Maglio University of California, Merced
Peter W. Glynn
Peter W. Glynn Stanford University
Nimrod Megiddo
Nimrod Megiddo IBM (United States)

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

Exploring computer science opens a gateway to diverse online degrees and rewarding career paths. Many students begin with foundational programming or analytics before branching into specialized areas. For those interested in analytics, consider following a data science learning path to acquire in-demand skills in big data and artificial intelligence.

Engineering continues to be a popular option, and there are many online electrical engineering courses USA offers that combine theoretical learning with real-world applications. These programs can be completed entirely online, making them accessible for working professionals.

Certifications are another quick way to boost your resume and earning potential. There’s a growing list of certifications for jobs that require less time and investment compared to a full degree, yet can open doors to well-paying roles in IT and tech support.

Finally, if you want to advance quickly, consider enrolling in one of the shortest master degree programs. These accelerated options allow you to gain advanced expertise and credentials in about a year, helping you move forward in your career faster.

Best Scientists Citing Peter J. Haas

Trending Scientists

Recently Published Articles