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D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Engineering and Technology 38 7993 7705 2202 2043 153 6521

Carlos H. Caldas publications per year

The chart shows the history of publications by Carlos H. Caldas between 1984 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Carlos H. Caldas published across 42 years, from 1984 to 2025, averaging 13.4 papers a year. Output peaked at 295 publications in 2023. 82 of the 563 publications appeared in the last two years.

No. of publications
50 100 150 200 250
Bar chart. Horizontal axis: year, 1984 to 2025. Vertical axis: number of publications, 0 to 295. Peak 295 publications in 2023. 1984: 1 publication 1985: 0 publications 1986: 0 publications 1987: 0 publications 1988: 0 publications 1989: 0 publications 1990: 0 publications 1991: 0 publications 1992: 0 publications 1993: 0 publications 1994: 0 publications 1995: 0 publications 1996: 0 publications 1997: 0 publications 1998: 0 publications 1999: 0 publications 2000: 2 publications 2001: 0 publications 2002: 3 publications 2003: 4 publications 2004: 2 publications 2005: 7 publications 2006: 20 publications 2007: 12 publications 2008: 7 publications 2009: 18 publications 2010: 7 publications 2011: 16 publications 2012: 11 publications 2013: 9 publications 2014: 5 publications 2015: 4 publications 2016: 2 publications 2017: 2 publications 2018: 3 publications 2019: 4 publications 2020: 7 publications 2021: 3 publications 2022: 37 publications 2023: 295 publications 2024: 31 publications 2025: 51 publications
1984 2025

563 publications in total across all disciplines

View publications per year as a table
Carlos H. Caldas: publications per year, 1984 to 2025
Year Publications
1984 1
1985 0
1986 0
1987 0
1988 0
1989 0
1990 0
1991 0
1992 0
1993 0
1994 0
1995 0
1996 0
1997 0
1998 0
1999 0
2000 2
2001 0
2002 3
2003 4
2004 2
2005 7
2006 20
2007 12
2008 7
2009 18
2010 7
2011 16
2012 11
2013 9
2014 5
2015 4
2016 2
2017 2
2018 3
2019 4
2020 7
2021 3
2022 37
2023 295
2024 31
2025 51
Total 563
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Carlos H. Caldas publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Carlos H. Caldas sits on this spectrum.

No. of scientists
100 200 300 400
Bar chart with 78 bars. Horizontal axis: publications, 38–47 to 804+. Vertical axis: number of scientists, 0 to 457. Most scientists, 457, have 148–157 publications. The last bar groups every scientist with 804 publications or more. The highlighted bar, 148–157 publications, is where this scientist sits. 38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38–47 publications 804+

This scientist: 153 publications — 28th percentile

28% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

View publications distribution as a table
Number of Engineering and Technology scientists by publication count, Research.com 2026 ranking edition. Based on 9,796 ranked scientists.
Publications Scientists This scientist
38–47 20
48–57 35
58–67 96
68–77 135
78–87 190
88–97 259
98–107 283
108–117 369
118–127 341
128–137 386
138–147 372
148–157 457 153
158–167 415
168–177 407
178–187 421
188–197 378
198–207 403
208–217 317
218–227 346
228–237 321
238–247 260
248–257 280
258–267 240
268–277 214
278–287 242
288–297 203
298–307 166
308–317 154
318–327 175
328–337 159
338–347 99
348–357 131
358–367 106
368–377 118
378–387 97
388–397 108
398–407 82
408–417 71
418–427 64
428–437 55
438–447 54
448–457 60
458–467 47
468–477 40
478–487 30
488–497 29
498–507 38
508–517 40
518–527 32
528–537 23
538–547 28
548–557 23
558–567 19
568–577 16
578–587 17
588–597 18
598–607 22
608–617 15
618–627 9
628–637 11
638–647 21
648–657 12
658–667 9
668–677 11
678–687 9
688–697 6
698–707 14
708–717 7
718–727 8
728–737 10
738–747 9
748–757 5
758–767 5
768–777 11
778–787 7
788–797 2
798–803 4
804+ 100
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Carlos H. Caldas D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Carlos H. Caldas sits on this spectrum.

No. of scientists
100 200 300 400
Bar chart with 78 bars. Horizontal axis: D-Index, 30 to 107+. Vertical axis: number of scientists, 0 to 426. Most scientists, 426, have 42 D-Index. The last bar groups every scientist with 107 D-Index or more. The highlighted bar, 38 D-Index, is where this scientist sits. 30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 38 D-Index — 20th percentile

20% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

View D-Index distribution as a table
Number of Engineering and Technology scientists by D-index, Research.com 2026 ranking edition. Based on 9,796 ranked scientists.
D-Index Scientists This scientist
30 59
31 114
32 129
33 189
34 200
35 262
36 311
37 312
38 350 38
39 385
40 348
41 362
42 426
43 380
44 310
45 341
46 301
47 306
48 271
49 246
50 210
51 253
52 213
53 221
54 195
55 186
56 170
57 167
58 166
59 144
60 152
61 141
62 138
63 131
64 118
65 114
66 119
67 95
68 87
69 77
70 89
71 69
72 54
73 46
74 55
75 54
76 49
77 53
78 46
79 28
80 39
81 36
82 24
83 26
84 36
85 18
86 25
87 19
88 26
89 27
90 23
91 15
92 12
93 9
94 15
95 10
96 13
97 13
98 9
99 7
100 7
101 8
102 7
103 7
104 9
105 6
106 9
107+ 99
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Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Project management
  • Database

His primary scientific interests are in Construction management, Automation, Project management, Simulation and Identification. His research in Construction management intersects with topics in Indirect costs, Schedule, Operations management and Manufacturing engineering. The Project management study combines topics in areas such as Document classification, Economic impact analysis and Information management, Database.

Carlos H. Caldas combines subjects such as Performance indicator and Real-time computing with his study of Simulation. His Real-time computing research incorporates themes from Real-time data, Frame rate and 3D modeling. His Identification research includes elements of Engineering drawing, Systems engineering, Technical feasibility, Supply chain and Task.

His most cited work include:

  • Automating the task of tracking the delivery and receipt of fabricated pipe spools in industrial projects (230 citations)
  • Measuring the Impact of Rework on Construction Cost Performance (202 citations)
  • Tracking the Location of Materials on Construction Job Sites (157 citations)

What are the main themes of his work throughout his whole career to date?

Carlos H. Caldas mainly focuses on Construction management, Productivity, Project management, Identification and Transport engineering. He brings together Construction management and Data collection to produce work in his papers. His work on Schedule and Project planning as part of general Project management study is frequently connected to Computer Applications, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.

His Identification study integrates concerns from other disciplines, such as Object and Materials management. His Systems engineering research includes themes of Simulation and Process management. His Simulation study combines topics in areas such as Real-time data and 3D modeling.

He most often published in these fields:

  • Construction management (32.05%)
  • Productivity (19.87%)
  • Project management (23.08%)

What were the highlights of his more recent work (between 2014-2021)?

  • Productivity (19.87%)
  • Petrochemical (2.56%)
  • Benchmarking (6.41%)

In recent papers he was focusing on the following fields of study:

Carlos H. Caldas mainly investigates Productivity, Petrochemical, Benchmarking, Construction management and Knowledge management. His research integrates issues of Normalization and Engineering management in his study of Benchmarking. Carlos H. Caldas undertakes multidisciplinary investigations into Engineering management and Automation in his work.

Carlos H. Caldas has included themes like Construction engineering and Supply chain in his Construction management study. Carlos H. Caldas has researched Identification in several fields, including Cost estimate and Manufacturing engineering. His Project planning study introduces a deeper knowledge of Project management.

Between 2014 and 2021, his most popular works were:

  • Method to Assess the Level of Implementation of Productivity Practices on Industrial Projects (20 citations)
  • Materials Management Practices in the Construction Industry (15 citations)
  • An Integrated Productivity-Practices Implementation Index for Planning the Execution of Infrastructure Projects (9 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Project management
  • Database

His scientific interests lie mostly in Productivity, Project planning, Knowledge management, Scope and Risk analysis. His work deals with themes such as Cost estimate, Schedule and Identification, which intersect with Scope. In his research on the topic of Risk analysis, Project management and Project management triangle is strongly related with Estimation.

The study incorporates disciplines such as Supply chain management and Process management in addition to Project management. Carlos H. Caldas merges Automation with Materials management in his study. His Materials management study combines topics from a wide range of disciplines, such as OPM3, Program management, Management process, Systems engineering and Construction management.

Best Publications

  • Measuring the Impact of Rework on Construction Cost Performance

    Bon Gang Hwang;Stephen R Thomas;Carl T. Haas;Carlos H Caldas

  • Automating the task of tracking the delivery and receipt of fabricated pipe spools in industrial projects

    Jongchul Song;Carl T. Haas;Carlos Caldas;Esin Ergen

  • Tracking the Location of Materials on Construction Job Sites

    Jongchul Song;Carl T. Haas;Carlos H. Caldas

  • Automating hierarchical document classification for construction management information systems

    Carlos H. Caldas;Lucio Soibelman

  • Computer Vision-Based Video Interpretation Model for Automated Productivity Analysis of Construction Operations

    Jie Gong;Carlos H. Caldas;Carlos H. Caldas

  • Automated Object Identification Using Optical Video Cameras on Construction Sites

    Seokho Chi;Carlos H. Caldas

  • Real-Time Three-Dimensional Occupancy Grid Modeling for the Detection and Tracking of Construction Resources

    Jochen Teizer;Jochen Teizer;Jochen Teizer;Carlos H. Caldas;Carlos H. Caldas;Carlos H. Caldas;Carl T. Haas;Carl T. Haas;Carl T. Haas

  • Benchmarking Initiatives in the Construction Industry: Lessons Learned and Improvement Opportunities

    Dayana B. Costa;Carlos T. Formoso;Michail Kagioglou;Luis F. Alarcón

  • AUTOMATED CLASSIFICATION OF CONSTRUCTION PROJECT DOCUMENTS

    Carlos H. Caldas;Lucio Soibelman;Jiawei Han

  • Assessing the impact of materials tracking technologies on construction craft productivity

    David Grau;Carlos H. Caldas;Carl T. Haas;Paul M. Goodrum

  • An object recognition, tracking, and contextual reasoning-based video interpretation method for rapid productivity analysis of construction operations

    Jie Gong;Carlos H. Caldas

  • Learning and classifying actions of construction workers and equipment using Bag-of-Video-Feature-Words and Bayesian network models

    Jie Gong;Carlos H. Caldas;Chris Gordon

  • Methodology for Automating the Identification and Localization of Construction Components on Industrial Projects

    David Grau Torrent;Carlos H. Caldas

  • A proximity-based method for locating RFID tagged objects

    Jongchul Song;Carl T. Haas;Carlos H. Caldas

  • Image-Based Safety Assessment: Automated Spatial Safety Risk Identification of Earthmoving and Surface Mining Activities

    Seokho Chi;Carlos H. Caldas

  • Activity Analysis for Direct-Work Rate Improvement in Construction

    Michael C. Gouett;Carl T. Haas;Paul M. Goodrum;Carlos H. Caldas

  • Management and analysis of unstructured construction data types

    Lucio Soibelman;Jianfeng Wu;Carlos Caldas;Ioannis Brilakis

  • Using Global Positioning System to Improve Materials-Locating Processes on Industrial Projects

    Carlos H. Caldas;Carlos H. Caldas;David Grau Torrent;Carl T. Haas

  • Methodology for the Integration of Project Documents in Model-Based Information Systems

    Carlos H. Caldas;Carlos H. Caldas;Carlos H. Caldas;Lucio Soibelman;Lucio Soibelman;Lucio Soibelman;Les Gasser;Les Gasser;Les Gasser

  • Relationship between Automation and Integration of Construction Information Systems and Labor Productivity

    Dong Zhai;Paul M. Goodrum;Carl T. Haas;Carlos H. Caldas

  • Proceedings of the 26th International Symposium on Automation and Robotics in Construction

    Carlos Caldas;William O'Brien;Seokho Chi;Jie Gong

Frequent Co-Authors

Carl T. Haas
Carl T. Haas University of Waterloo
Jochen Teizer
Jochen Teizer Technical University of Denmark
Lucio Soibelman
Lucio Soibelman University of Southern California
Bon-Gang Hwang
Bon-Gang Hwang National University of Singapore
Frédéric Bosché
Frédéric Bosché University of Edinburgh
Ioannis Brilakis
Ioannis Brilakis University of Cambridge
Kara M. Kockelman
Kara M. Kockelman The University of Texas at Austin
Les Gasser
Les Gasser University of Illinois at Urbana-Champaign
Burcu Akinci
Burcu Akinci Carnegie Mellon University
James H. Garrett
James H. Garrett Carnegie Mellon University

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