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Pedro Szekely

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 36 11159 10842 4626 4429 229 6289

Pedro Szekely publications per year

The chart shows the history of publications by Pedro Szekely between 1983 and 2024, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Pedro Szekely published across 42 years, from 1983 to 2024, averaging 5.8 papers a year. Output peaked at 33 publications in 2021. 4 of the 245 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 1983 to 2024. Vertical axis: number of publications, 0 to 33. Peak 33 publications in 2021. 1983: 2 publications 1984: 0 publications 1985: 2 publications 1986: 4 publications 1987: 0 publications 1988: 3 publications 1989: 2 publications 1990: 1 publication 1991: 4 publications 1992: 1 publication 1993: 4 publications 1994: 5 publications 1995: 1 publication 1996: 1 publication 1997: 2 publications 1998: 5 publications 1999: 3 publications 2000: 0 publications 2001: 7 publications 2002: 2 publications 2003: 2 publications 2004: 2 publications 2005: 4 publications 2006: 3 publications 2007: 4 publications 2008: 8 publications 2009: 3 publications 2010: 5 publications 2011: 9 publications 2012: 7 publications 2013: 12 publications 2014: 23 publications 2015: 9 publications 2016: 7 publications 2017: 13 publications 2018: 10 publications 2019: 16 publications 2020: 13 publications 2021: 33 publications 2022: 9 publications 2023: 1 publication 2024: 3 publications
1983 2024

245 publications in total across all disciplines

View publications per year as a table
Pedro Szekely: publications per year, 1983 to 2024
Year Publications
1983 2
1984 0
1985 2
1986 4
1987 0
1988 3
1989 2
1990 1
1991 4
1992 1
1993 4
1994 5
1995 1
1996 1
1997 2
1998 5
1999 3
2000 0
2001 7
2002 2
2003 2
2004 2
2005 4
2006 3
2007 4
2008 8
2009 3
2010 5
2011 9
2012 7
2013 12
2014 23
2015 9
2016 7
2017 13
2018 10
2019 16
2020 13
2021 33
2022 9
2023 1
2024 3
Total 245
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Pedro Szekely 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 Pedro Szekely 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, 222–231 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: 229 publications — 56th percentile

56% 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
222–231 437 229
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

Pedro Szekely 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 Pedro Szekely 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: 36 D-Index — 23rd percentile

23% 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 36
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

Overview

Pedro Szekely is affiliated with Amazon in the United States. Their research primarily spans the field of Computer Science, with a focus on several subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Management Science and Operations Research, Information Systems, and Computer Networks and Communications.

The scientist's work covers a variety of topics in the domain of advanced computational methods and semantic data management. Key research topics include:

  • Natural Language Processing Techniques
  • Topic Modeling
  • Semantic Web and Ontologies
  • Advanced Graph Neural Networks
  • Data Quality and Management
  • Multimodal Machine Learning Applications
  • Web Data Mining and Analysis

Pedro Szekely has contributed to numerous academic publications, with a strong presence in venues such as Zenodo (CERN European Organization for Nuclear Research), arXiv (Cornell University), and conferences like the North American Chapter of the Association for Computational Linguistics and the International Joint Conference on Artificial Intelligence. Some selected recent papers include:

  • Robust (Controlled) Table-to-Text Generation with Structure-Aware Equivariance Learning, 2022, Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  • Augmenting Knowledge Graphs for Better Link Prediction, 2022, Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence
  • Connecting the Dots: A Knowledgeable Path Generator for Commonsense Question Answering, 2020, arXiv (Cornell University)
  • TOMATE: A heuristic-based approach to extract data from HTML tables, 2021, Information Sciences
  • Hybrid forecasting of geopolitical events†, 2023, AI Magazine

The scientist collaborates frequently with several peers in the research community. Regular coauthors include Filip Ilievski, Daniel Garijo, Kartik Shenoy, Hans Chalupsky, and Daniel Schwabe. These collaborations reflect engagement across multiple aspects of artificial intelligence and data science research.

Pedro Szekely's publication record displays a concentrated interest in the practical and theoretical aspects of knowledge representation, natural language processing, and graph neural networks, often addressing challenges in data quality and structured information extraction. With a substantial number of works available on preprint servers and open repositories, their work contributes to evolving methodologies for semantic analysis and machine learning applications.

Best Publications

  • MAAN: a multi-attribute addressable network for grid information services

    M. Cai;M. Frank;J. Chen;P. Szekely

  • Retrospective and Challenges for Model-Based Interface Development

    Pedro A. Szekely

  • Declarative interface models for user interface construction tools: the MASTERMIND approach

    Pedro A. Szekely;Piyawadee Noi Sukaviriya;Pablo Castells;Jeyakumar Muthukumarasamy

  • Semi-automatically mapping structured sources into the semantic web

    Craig A. Knoblock;Pedro Szekely;José Luis Ambite;Aman Goel

  • Beyond interface builders: model-based interface tools

    Pedro Szekely;Ping Luo;Robert Neches

  • Building Mashups by example

    Rattapoom Tuchinda;Pedro Szekely;Craig A. Knoblock

  • Facilitating the exploration of interface design alternatives: the HUMANOID model of interface design

    Pedro Szekely;Ping Luo;Robert Neches

  • Design alternatives for user interface management sytems based on experience with COUSIN

    Philip J. Hayes;Pedro A. Szekely;Richard A. Lerner

  • A user interface toolkit based on graphical objects and constraints

    Pedro Szekely;Brad Myers

  • MAAN: A Multi-Attribute Addressable Network for Grid Information Services

    Unknown

  • Building and Using a Knowledge Graph to Combat Human Trafficking

    Pedro Szekely;Craig A. Knoblock;Jason Slepicka;Andrew Philpot

  • Connecting the Smithsonian American Art Museum to the Linked Data Cloud

    Pedro A. Szekely;Craig A. Knoblock;Fengyu Yang;Xuming Zhu

  • Semantic Labeling: A Domain-Independent Approach

    Minh Pham;Suresh Alse;Craig A. Knoblock;Pedro A. Szekely

  • Knowledgeable development environments using shared design models

    Robert Neches;Jim Foley;Pedro Szekely;Piyawadee Sukaviriya

  • Learning the semantics of structured data sources

    Mohsen Taheriyan;Craig A. Knoblock;Pedro Szekely;José Luis Ambite

  • Karma: A System for Mapping Structured Sources into the Semantic Web

    Shubham Gupta;Pedro A. Szekely;Craig A. Knoblock;Aman Goel

  • Exploiting Semantics for Big Data Integration

    Craig A. Knoblock;Pedro A. Szekely

  • The importance of pointer variables in constraint models

    Brad Vander Zanden;Brad A. Myers;Dario Giuse;Pedro Szekely

  • Management of interface design in humanoid

    Ping Luo;Pedro Szekely;Robert Neches

  • Assigning Semantic Labels to Data Sources

    S.K. Ramnandan;Amol Mittal;Craig A. Knoblock;Pedro Szekely

  • Representing Numbers in NLP: a Survey and a Vision.

    Avijit Thawani;Jay Pujara;Filip Ilievski;Pedro A. Szekely

Frequent Co-Authors

Craig A. Knoblock
Craig A. Knoblock University of Southern California
José Luis Ambite
José Luis Ambite University of Southern California
Shrikanth S. Narayanan
Shrikanth S. Narayanan University of Southern California
Brad A. Myers
Brad A. Myers Carnegie Mellon University
Muhao Chen
Muhao Chen University of California, Los Angeles
Robert C. Miller
Robert C. Miller MIT
Xiang Ren
Xiang Ren University of Southern California
Shih-Fu Chang
Shih-Fu Chang Columbia University
Pablo Castells
Pablo Castells Autonomous University of Madrid
Aram Galstyan
Aram Galstyan University of Southern California

External Links

Personal website of Pedro Szekely Google Scholar page

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Brad A. Myers

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Carnegie Mellon University

Publications: 50

Jean Vanderdonckt

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Publications: 28

Fabio Paternò

Fabio Paternò

National Research Council (CNR)

Publications: 24

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Craig A. Knoblock

University of Southern California

Publications: 19

Xiang Ren

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Publications: 15

Scott E. Hudson

Scott E. Hudson

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Publications: 15

A Min Tjoa

A Min Tjoa

TU Wien

Publications: 13

Norman W. Paton

Norman W. Paton

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Publications: 13

Haiying Shen

Haiying Shen

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Publications: 13

James D. Foley

James D. Foley

Georgia Institute of Technology

Publications: 13

Pablo Castells

Pablo Castells

Autonomous University of Madrid

Publications: 12

Jeffrey Nichols

Jeffrey Nichols

Apple (United States)

Publications: 12

Constantine Stephanidis

Constantine Stephanidis

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Publications: 12

Oscar Corcho

Oscar Corcho

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Publications: 11

Domenico Talia

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