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Chris Callison-Burch

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 68 2036 1972 1031 991 286 27431

Chris Callison-Burch publications per year

The chart shows the history of publications by Chris Callison-Burch between 1991 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Chris Callison-Burch published across 35 years, from 1991 to 2025, averaging 10.6 papers a year. Output peaked at 48 publications in 2023. 62 of the 372 publications appeared in the last two years.

No. of publications
10 20 30 40
Bar chart. Horizontal axis: year, 1991 to 2025. Vertical axis: number of publications, 0 to 48. Peak 48 publications in 2023. 1991: 1 publication 1992: 0 publications 1993: 0 publications 1994: 0 publications 1995: 0 publications 1996: 0 publications 1997: 0 publications 1998: 0 publications 1999: 1 publication 2000: 1 publication 2001: 2 publications 2002: 1 publication 2003: 2 publications 2004: 2 publications 2005: 7 publications 2006: 10 publications 2007: 5 publications 2008: 7 publications 2009: 14 publications 2010: 19 publications 2011: 13 publications 2012: 19 publications 2013: 14 publications 2014: 17 publications 2015: 15 publications 2016: 11 publications 2017: 11 publications 2018: 10 publications 2019: 14 publications 2020: 14 publications 2021: 23 publications 2022: 29 publications 2023: 48 publications 2024: 38 publications 2025: 24 publications
1991 2025

372 publications in total across all disciplines

View publications per year as a table
Chris Callison-Burch: publications per year, 1991 to 2025
Year Publications
1991 1
1992 0
1993 0
1994 0
1995 0
1996 0
1997 0
1998 0
1999 1
2000 1
2001 2
2002 1
2003 2
2004 2
2005 7
2006 10
2007 5
2008 7
2009 14
2010 19
2011 13
2012 19
2013 14
2014 17
2015 15
2016 11
2017 11
2018 10
2019 14
2020 14
2021 23
2022 29
2023 48
2024 38
2025 24
Total 372
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Chris Callison-Burch publications per year - data summary

  • Chris Callison-Burch, a Computer Science scholar from University of Pennsylvania, has 372 publications recorded across 35 years, from 1991 to 2025.
  • The oldest publication on record dates to 1991 and the most recent to 2025.
  • The most productive year is 2023, with 48 publications.
  • The least productive years with any output are 1991, 1999, 2000 and 2002, with 1 publication each.
  • 7 of the 35 years in the span carry no publications at all (1992, 1993, 1994, 1995 and others).
  • The rate of publication averages 10.6 papers per year over the whole span, or 13.3 per year counting only the 28 years with at least one publication.
  • The last 5 years on the chart (2021-2025) hold 162 publications, 44% of the career total.
  • Split into equal eras - 1991-2002: 6 publications (0.5 per year); 2003-2014: 129 publications (10.8 per year); 2015-2025: 237 publications (21.5 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

Chris Callison-Burch 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 Chris Callison-Burch 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, 282–291 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: 286 publications — 71st percentile

71% 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
282–291 320 286
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

Chris Callison-Burch 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.
  • Chris Callison-Burch, a Computer Science scholar from University of Pennsylvania, records 286 publications - the 71st percentile of the discipline.
  • 71% of ranked Computer Science scientists score the same or lower than Chris Callison-Burch, and about 29% score higher.
  • The median of the discipline falls in the 202–211 publications range, and Chris Callison-Burch ranks above 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).

Chris Callison-Burch 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 Chris Callison-Burch 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, 68–69 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: 68 D-Index — 86th percentile

86% 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
64–65 292
66–67 249
68–69 213 68
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

Chris Callison-Burch 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.
  • Chris Callison-Burch, a Computer Science scholar from University of Pennsylvania, records 68 D-Index - the 86th percentile of the discipline.
  • 86% of ranked Computer Science scientists score the same or lower than Chris Callison-Burch, and about 14% score higher.
  • The median of the discipline falls in the 44–45 D-Index range, and Chris Callison-Burch ranks above the median.
  • 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).

Research.com Recognitions

  • 2014 - Fellow of Alfred P. Sloan Foundation

Overview

Chris Callison-Burch is affiliated with the University of Pennsylvania in the United States. Their research primarily spans the field of Computer Science, with a focus on Artificial Intelligence and Computer Vision and Pattern Recognition, alongside interdisciplinary interests in General Health Professions, Sociology and Political Science, and Molecular Biology.

Their scholarly output covers a wide range of topics, including:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Multimodal Machine Learning Applications
  • Text Readability and Simplification
  • Explainable Artificial Intelligence (XAI)
  • Machine Learning in Healthcare
  • Speech Recognition and Synthesis

Callison-Burch has contributed extensively to various top-tier publication venues with multiple papers appearing in:

  • arXiv (Cornell University) with 82 publications
  • Proceedings of the AAAI Conference on Artificial Intelligence with 3 publications
  • Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing with 3 publications
  • Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) with 2 publications
  • PLoS ONE with 2 publications

Recent notable papers include:

  • "Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models" (2022, arXiv)
  • "Deduplicating Training Data Makes Language Models Better" (2022, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics - Long Papers)
  • "Artificial Intelligence in mental health and the biases of language based models" (2020, PLoS ONE)
  • "Towards Faithful Model Explanation in NLP: A Survey" (2024, Computational Linguistics)
  • "Real or Fake Text?: Investigating Human Ability to Detect Boundaries between Human-Written and Machine-Generated Text" (2023, Proceedings of the AAAI Conference on Artificial Intelligence)

Frequent co-authors working alongside Callison-Burch include:

  • Liam Dugan
  • Daphne Ippolito
  • Marianna Apidianaki
  • Mark Yatskar
  • Andrew Zhu

Callison-Burch was awarded the title of Fellow of the Alfred P. Sloan Foundation in 2014.

Best Publications

  • Moses: Open Source Toolkit for Statistical Machine Translation

    Philipp Koehn;Hieu Hoang;Alexandra Birch;Chris Callison-Burch

  • Re-evaluating the Role of Bleu in Machine Translation Research

    Chris Callison-Burch;Miles Osborne;Philipp Koehn

  • PPDB: The Paraphrase Database

    Juri Ganitkevitch;Benjamin Van Durme;Chris Callison-Burch

  • Findings of the 2012 Workshop on Statistical Machine Translation

    Chris Callison-Burch;Philipp Koehn;Christof Monz;Matt Post

  • Findings of the 2009 Workshop on Statistical Machine Translation

    Chris Callison-Burch;Philipp Koehn;Christof Monz;Josh Schroeder

  • Paraphrasing with Bilingual Parallel Corpora

    Colin Bannard;Chris Callison-Burch

  • Method and apparatus for providing multilingual translation over a network

    Christopher Callison-Burch;Jeffrey Chin;Raymond Flournoy;Pria Hidisyan

  • Fast, Cheap, and Creative: Evaluating Translation Quality Using Amazon's Mechanical Turk

    Chris Callison-Burch

  • A Data-Driven Analysis of Workers' Earnings on Amazon Mechanical Turk

    Kotaro Hara;Abigail Adams;Kristy Milland;Saiph Savage

  • Optimizing Statistical Machine Translation for Text Simplification

    Wei Xu;Courtney Napoles;Ellie Pavlick;Quanze Chen

  • Crowdsourcing Translation: Professional Quality from Non-Professionals

    Omar F. Zaidan;Chris Callison-Burch

  • Findings of the 2013 Workshop on Statistical Machine Translation

    Ondřej Bojar;Christian Buck;Chris Callison-Burch;Christian Federmann

  • Findings of the 2011 Workshop on Statistical Machine Translation

    Chris Callison-Burch;Philipp Koehn;Christof Monz;Omar Zaidan

  • Edinburgh System Description for the 2005 IWSLT Speech Translation Evaluation

    Philipp Koehn;Amittai Axelrod;Alexandra Birch-Mayne;Chris Callison-Burch

  • Creating Speech and Language Data With Amazon's Mechanical Turk

    Chris Callison-Burch;Mark Dredze

  • Problems in Current Text Simplification Research: New Data Can Help

    Wei Xu;Chris Callison-Burch;Courtney Napoles

  • (Meta-) Evaluation of Machine Translation

    Chris Callison-Burch;Cameron Fordyce;Philipp Koehn;Christof Monz

  • Arabic dialect identification

    Omar F. Zaidan;Chris Callison-Burch

  • Improved Statistical Machine Translation Using Paraphrases

    Chris Callison-Burch;Philipp Koehn;Miles Osborne

  • PPDB 2.0: Better paraphrase ranking, fine-grained entailment relations, word embeddings, and style classification

    Ellie Pavlick;Pushpendre Rastogi;Juri Ganitkevitch;Benjamin Van Durme

  • Open Source Toolkit for Statistical Machine Translation: Factored Translation Models and Lattice Decoding

    Philipp Koehn;Marcello Federico;Wade Shen;Nicola Bertoldi

Frequent Co-Authors

Philipp Koehn
Philipp Koehn Johns Hopkins University
Ellie Pavlick
Ellie Pavlick Brown University
Christof Monz
Christof Monz University of Amsterdam
Benjamin Van Durme
Benjamin Van Durme Johns Hopkins University
Miles Osborne
Miles Osborne Bloomberg LP
Sanjeev Khudanpur
Sanjeev Khudanpur Johns Hopkins University
Mark Dredze
Mark Dredze Johns Hopkins University
Yuan Cao
Yuan Cao Google (United States)
Douglas Eck
Douglas Eck Google (United States)
Chris Dyer
Chris Dyer Google (United States)

External Links

Personal website of Chris Callison-Burch Google Scholar page

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