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Taylor Berg-Kirkpatrick

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 37 10711 10411 4476 4291 117 6175

Taylor Berg-Kirkpatrick publications per year

The chart shows the history of publications by Taylor Berg-Kirkpatrick between 2008 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Taylor Berg-Kirkpatrick published across 18 years, from 2008 to 2025, averaging 10.8 papers a year. Output peaked at 33 publications in 2022. 47 of the 194 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 2008 to 2025. Vertical axis: number of publications, 0 to 33. Peak 33 publications in 2022. 2008: 1 publication 2009: 0 publications 2010: 2 publications 2011: 2 publications 2012: 1 publication 2013: 3 publications 2014: 3 publications 2015: 4 publications 2016: 2 publications 2017: 11 publications 2018: 9 publications 2019: 8 publications 2020: 15 publications 2021: 26 publications 2022: 33 publications 2023: 27 publications 2024: 29 publications 2025: 18 publications
2008 2025

194 publications in total across all disciplines

View publications per year as a table
Taylor Berg-Kirkpatrick: publications per year, 2008 to 2025
Year Publications
2008 1
2009 0
2010 2
2011 2
2012 1
2013 3
2014 3
2015 4
2016 2
2017 11
2018 9
2019 8
2020 15
2021 26
2022 33
2023 27
2024 29
2025 18
Total 194
Download as CSV

Taylor Berg-Kirkpatrick publications per year - data summary

  • Taylor Berg-Kirkpatrick, a Computer Science scholar from University of California, San Diego, has 194 publications recorded across 18 years, from 2008 to 2025.
  • The oldest publication on record dates to 2008 and the most recent to 2025.
  • The most productive year is 2022, with 33 publications.
  • The least productive years with any output are 2008 and 2012, with 1 publication each.
  • 1 of the 18 years in the span carries no publications at all (2009).
  • The rate of publication averages 10.8 papers per year over the whole span, or 11.4 per year counting only the 17 years with at least one publication.
  • The last 5 years on the chart (2021-2025) hold 133 publications, 69% of the career total.
  • Split into equal eras - 2008-2013: 9 publications (1.5 per year); 2014-2019: 37 publications (6.2 per year); 2020-2025: 148 publications (24.7 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

Taylor Berg-Kirkpatrick 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 Taylor Berg-Kirkpatrick 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, 112–121 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: 117 publications — 14th percentile

14% 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
112–121 497 117
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

Taylor Berg-Kirkpatrick 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.
  • Taylor Berg-Kirkpatrick, a Computer Science scholar from University of California, San Diego, records 117 publications - the 14th percentile of the discipline.
  • 14% of ranked Computer Science scientists score the same or lower than Taylor Berg-Kirkpatrick, and about 86% score higher.
  • The median of the discipline falls in the 202–211 publications range, and Taylor Berg-Kirkpatrick 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).

Taylor Berg-Kirkpatrick 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 Taylor Berg-Kirkpatrick 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, 36–37 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: 37 D-Index — 27th percentile

27% 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 37
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
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

Taylor Berg-Kirkpatrick 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.
  • Taylor Berg-Kirkpatrick, a Computer Science scholar from University of California, San Diego, records 37 D-Index - the 27th percentile of the discipline.
  • 27% of ranked Computer Science scientists score the same or lower than Taylor Berg-Kirkpatrick, and about 73% score higher.
  • The median of the discipline falls in the 44–45 D-Index range, and Taylor Berg-Kirkpatrick ranks below 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).

Overview

Taylor Berg-Kirkpatrick is a researcher affiliated with the University of California, San Diego in the United States. Their work mainly spans the field of computer science, with a focus on artificial intelligence, computer vision and pattern recognition, and signal processing. Their research also extends into cognitive neuroscience and music.

The scientist's publication record includes 260 works primarily related to computer science. Key subfields within their research encompass:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Cognitive Neuroscience
  • Music

The major topics they address in their work include:

  • Music and Audio Processing
  • Topic Modeling
  • Natural Language Processing Techniques
  • Music Technology and Sound Studies
  • Speech and Audio Processing
  • Neuroscience and Music Perception
  • Multimodal Machine Learning Applications

Frequent venues for their publications highlight a strong presence in preprint and conference proceedings, including:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  • ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Recent papers authored or co-authored by the researcher include:

  • Towards a Unified View of Parameter-Efficient Transfer Learning, 2021, arXiv (Cornell University)
  • HTS-AT: A Hierarchical Token-Semantic Audio Transformer for Sound Classification and Detection, 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • A Probabilistic Formulation of Unsupervised Text Style Transfer, 2020, arXiv (Cornell University)
  • Mix and Match: Learning-free Controllable Text Generation using Energy Language Models, 2022, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • Zero-Shot Audio Source Separation through Query-Based Learning from Weakly-Labeled Data, 2022, Proceedings of the AAAI Conference on Artificial Intelligence

Taylor Berg-Kirkpatrick has collaborated frequently with the following co-authors:

  • Julian McAuley
  • Shlomo Dubnov
  • Fatemehsadat Mireshghallah
  • Hao-Wen Dong
  • Kartik Goyal

Best Publications

  • Learning Bilingual Lexicons from Monolingual Corpora

    Aria Haghighi;Percy Liang;Taylor Berg-Kirkpatrick;Dan Klein

  • Speaker-Follower Models for Vision-and-Language Navigation

    Daniel Fried;Ronghang Hu;Volkan Cirik;Anna Rohrbach

  • Improved variational autoencoders for text modeling using dilated convolutions

    Zichao Yang;Zhiting Hu;Ruslan Salakhutdinov;Taylor Berg-Kirkpatrick

  • Large-Scale Contrastive Language-Audio Pretraining with Feature Fusion and Keyword-to-Caption Augmentation

    Unknown

  • Learning Whom to Trust with MACE

    Dirk Hovy;Taylor Berg-Kirkpatrick;Ashish Vaswani;Eduard Hovy

  • Towards a Unified View of Parameter-Efficient Transfer Learning

    Junxian He;Chunting Zhou;Xuezhe Ma;Taylor Berg-Kirkpatrick

  • Painless Unsupervised Learning with Features

    Taylor Berg-Kirkpatrick;Alexandre Bouchard-Côté;John DeNero;Dan Klein

  • Unsupervised Text Style Transfer using Language Models as Discriminators

    Zichao Yang;Zhiting Hu;Chris Dyer;Eric P. Xing

  • Jointly Learning to Extract and Compress

    Taylor Berg-Kirkpatrick;Dan Gillick;Dan Klein

  • Lagging Inference Networks and Posterior Collapse in Variational Autoencoders

    Junxian He;Daniel Spokoyny;Graham Neubig;Taylor Berg-Kirkpatrick

  • HTS-AT: A Hierarchical Token-Semantic Audio Transformer for Sound Classification and Detection

    Unknown

  • An Empirical Investigation of Statistical Significance in NLP

    Taylor Berg-Kirkpatrick;David Burkett;Dan Klein

  • Learning-Based Single-Document Summarization with Compression and Anaphoricity Constraints

    Greg Durrett;Taylor Berg-Kirkpatrick;Dan Klein

  • Beyond BLEU: Training Neural Machine Translation with Semantic Similarity.

    John Wieting;Taylor Berg-Kirkpatrick;Kevin Gimpel;Graham Neubig

  • A Probabilistic Formulation of Unsupervised Text Style Transfer

    Junxian He;Xinyi Wang;Graham Neubig;Taylor Berg-Kirkpatrick

  • Learning to Describe Differences Between Pairs of Similar Images

    Harsh Jhamtani;Taylor Berg-Kirkpatrick

  • Tools for Automated Analysis of Cybercriminal Markets

    Rebecca S. Portnoff;Sadia Afroz;Greg Durrett;Jonathan K. Kummerfeld

  • SPINE: SParse Interpretable Neural Embeddings

    Anant Subramanian;Danish Pruthi;Harsh Jhamtani;Taylor Berg-Kirkpatrick

  • Using accelerometers to remotely and automatically characterize behavior in small animals.

    Talisin T. Hammond;Dwight Springthorpe;Rachel E. Walsh;Taylor Berg-Kirkpatrick

  • Phylogenetic Grammar Induction

    Taylor Berg-Kirkpatrick;Dan Klein

  • Using Syntax to Ground Referring Expressions in Natural Images.

    Volkan Cirik;Taylor Berg-Kirkpatrick;Louis-Philippe Morency

  • A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text

    Bohan Li;Junxian He;Graham Neubig;Taylor Berg-Kirkpatrick

Frequent Co-Authors

Graham Neubig
Graham Neubig Carnegie Mellon University
Daniel Klein
Daniel Klein University of California, Berkeley
Eduard Hovy
Eduard Hovy Carnegie Mellon University
Julian McAuley
Julian McAuley University of California, San Diego
Louis-Philippe Morency
Louis-Philippe Morency Carnegie Mellon University
Chris Dyer
Chris Dyer Google (United States)
Zhiting Hu
Zhiting Hu University of California, San Diego
Greg Durrett
Greg Durrett The University of Texas at Austin
Kevin Gimpel
Kevin Gimpel Toyota Technological Institute at Chicago
Jacob Andreas
Jacob Andreas MIT

External Links

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Anders Søgaard

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