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Cesar Cadena

Cesar Cadena

ETH Zurich
Switzerland

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 41 8588 8344 159 158 128 14786

Cesar Cadena publications per year

The chart shows the history of publications by Cesar Cadena between 2005 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Cesar Cadena published across 21 years, from 2005 to 2025, averaging 8.8 papers a year. Output peaked at 23 publications in 2021. 37 of the 184 publications appeared in the last two years.

No. of publications
5 10 15 20
Bar chart. Horizontal axis: year, 2005 to 2025. Vertical axis: number of publications, 0 to 23. Peak 23 publications in 2021. 2005: 1 publication 2006: 0 publications 2007: 0 publications 2008: 0 publications 2009: 1 publication 2010: 2 publications 2011: 2 publications 2012: 3 publications 2013: 2 publications 2014: 2 publications 2015: 4 publications 2016: 9 publications 2017: 8 publications 2018: 14 publications 2019: 19 publications 2020: 17 publications 2021: 23 publications 2022: 20 publications 2023: 20 publications 2024: 15 publications 2025: 22 publications
2005 2025

184 publications in total across all disciplines

View publications per year as a table
Cesar Cadena: publications per year, 2005 to 2025
Year Publications
2005 1
2006 0
2007 0
2008 0
2009 1
2010 2
2011 2
2012 3
2013 2
2014 2
2015 4
2016 9
2017 8
2018 14
2019 19
2020 17
2021 23
2022 20
2023 20
2024 15
2025 22
Total 184
Download as CSV

Cesar Cadena 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 Cesar Cadena 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, 122–131 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: 128 publications — 18th percentile

18% 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
122–131 544 128
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

Cesar Cadena 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 Cesar Cadena 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, 40–41 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: 41 D-Index — 40th percentile

40% 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 41
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

Cesar Cadena is affiliated with ETH Zurich in Switzerland. Their research focuses on several intersecting fields within computer science and engineering, with a strong emphasis on robotics and sensor-based localization.

The main fields of study that characterize Cesar Cadena's work are:

  • Computer Science
  • Engineering

The scientist's research spans a set of specialized subfields, including:

  • Computer Vision and Pattern Recognition
  • Aerospace Engineering
  • Artificial Intelligence
  • Control and Systems Engineering
  • Environmental Engineering

Cadena's work topics cover a range of themes related to robotics, machine learning, and sensory data analysis. These include:

  • Robotics and Sensor-Based Localization
  • Advanced Neural Network Applications
  • Advanced Vision and Imaging
  • Advanced Image and Video Retrieval Techniques
  • Robotic Path Planning Algorithms
  • Multimodal Machine Learning Applications
  • Remote Sensing and LiDAR Applications

Frequent collaborators listed in Cadena's research include Roland Siegwart, Hermann Blum, Marco Hutter, Abel Gawel, and René Zurbrügg. These co-authors reflect a network of partnerships in robotics and automation research.

Cadena has published extensively, with significant contributions in various venues. The most common publication venues for their research are:

  • arXiv (Cornell University)
  • IEEE Robotics and Automation Letters
  • Zenodo (CERN European Organization for Nuclear Research)
  • 2022 International Conference on Robotics and Automation (ICRA)
  • IEEE Transactions on Robotics

Some recent notable papers authored or co-authored by Cesar Cadena include:

  • The Fishyscapes Benchmark: Measuring Blind Spots in Semantic Segmentation, 2021, International Journal of Computer Vision
  • Panoptic Multi-TSDFs: a Flexible Representation for Online Multi-resolution Volumetric Mapping and Long-term Dynamic Scene Consistency, 2022, 2022 International Conference on Robotics and Automation (ICRA)
  • maplab 2.0 - A Modular and Multi-Modal Mapping Framework, 2022, IEEE Robotics and Automation Letters
  • Empty Cities: A Dynamic-Object-Invariant Space for Visual SLAM, 2020, IEEE Transactions on Robotics
  • A Unified Approach for Autonomous Volumetric Exploration of Large Scale Environments Under Severe Odometry Drift, 2021, IEEE Robotics and Automation Letters

Best Publications

  • Past, Present, and Future of Simultaneous Localization And Mapping: Towards the Robust-Perception Age

    Cesar Cadena;Luca Carlone;Henry Carrillo;Yasir Latif

  • Past, Present, and Future of Simultaneous Localization and Mapping: Toward the Robust-Perception Age

    Cesar Cadena;Luca Carlone;Henry Carrillo;Yasir Latif

  • From Coarse to Fine: Robust Hierarchical Localization at Large Scale

    Paul-Edouard Sarlin;Cesar Cadena;Roland Siegwart;Marcin Dymczyk

  • From perception to decision: A data-driven approach to end-to-end motion planning for autonomous ground robots

    Mark Pfeiffer;Michael Schaeuble;Juan Nieto;Roland Siegwart

  • Volumetric Instance-Aware Semantic Mapping and 3D Object Discovery

    Margarita Grinvald;Fadri Furrer;Tonci Novkovic;Jen Jen Chung

  • The current state and future outlook of rescue robotics

    Jeffrey A. Delmerico;Stefano Mintchev;Alessandro Giusti;Boris Gromov

  • SegMatch: Segment based place recognition in 3D point clouds

    Renaud Dube;Daniel Dugas;Elena Stumm;Juan Nieto

  • Robust loop closing over time for pose graph SLAM

    Yasir Latif;César Cadena;José Neira

  • SegMatch: Segment based loop-closure for 3D point clouds.

    Renaud Dubé;Daniel Dugas;Elena Stumm;Juan I. Nieto

  • SegMap: Segment-based mapping and localization using data-driven descriptors:

    Renaud Dubé;Andrei Cramariuc;Daniel Dugas;Hannes Sommer

  • Reinforced Imitation: Sample Efficient Deep Reinforcement Learning for Mapless Navigation by Leveraging Prior Demonstrations

    Mark Pfeiffer;Samarth Shukla;Matteo Turchetta;Cesar Cadena

  • SegMap: 3D Segment Mapping using Data-Driven Descriptors

    Renaud Dubé;Andrei Cramariuc;Daniel Dugas;Juan I. Nieto

  • Where Should I Walk? Predicting Terrain Properties From Images Via Self-Supervised Learning

    Lorenz Wellhausen;Alexey Dosovitskiy;Rene Ranftl;Krzysztof Walas

  • X-View: Graph-Based Semantic Multi-View Localization

    Abel Gawel;Carlo Del Don;Roland Siegwart;Juan I. Nieto

  • Voxgraph: Globally Consistent, Volumetric Mapping Using Signed Distance Function Submaps

    Victor Reijgwart;Alexander Millane;Helen Oleynikova;Roland Siegwart

  • An online multi-robot SLAM system for 3D LiDARs

    Renaud Dube;Abel Gawel;Hannes Sommer;Juan Nieto

  • The Fishyscapes Benchmark: Measuring Blind Spots in Semantic Segmentation

    Hermann Blum;Paul-Edouard Sarlin;Juan I. Nieto;Roland Siegwart

  • Pixel-wise Anomaly Detection in Complex Driving Scenes

    Giancarlo Di Biase;Hermann Blum;Roland Siegwart;Cesar Cadena

  • A Data-driven Model for Interaction-Aware Pedestrian Motion Prediction in Object Cluttered Environments

    Mark Pfeiffer;Giuseppe Paolo;Hannes Sommer;Juan Nieto

  • Real-time 6-DOF multi-session visual SLAM over large-scale environments

    J. Mcdonald;M. Kaess;C. Cadena;J. Neira

  • Robust Place Recognition With Stereo Sequences

    C. Cadena;D. Galvez-López;J. D. Tardos;J. Neira

  • Multi-modal Auto-Encoders as Joint Estimators for Robotics Scene Understanding

    Cesar Cadena;Anthony R. Dick;Ian D. Reid

Frequent Co-Authors

Roland Siegwart
Roland Siegwart ETH Zurich
Juan Nieto
Juan Nieto Microsoft (United States)
José Neira
José Neira University of Zaragoza
Ian Reid
Ian Reid University of Adelaide
John J. Leonard
John J. Leonard MIT
Davide Scaramuzza
Davide Scaramuzza University of Zurich
Jana Kosecka
Jana Kosecka George Mason University
Luca Carlone
Luca Carlone MIT
Ben Upcroft
Ben Upcroft Queensland University of Technology
Marco Hutter
Marco Hutter ETH Zurich

External Links

Personal website of Cesar Cadena Google Scholar page

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Best Scientists Citing Cesar Cadena

Michael Milford

Michael Milford

Queensland University of Technology

Publications: 68

Roland Siegwart

Roland Siegwart

ETH Zurich

Publications: 52

Luca Carlone

Luca Carlone

MIT

Publications: 34

Shoudong Huang

Shoudong Huang

University of Technology Sydney

Publications: 33

Torsten Sattler

Torsten Sattler

Czech Technical University in Prague

Publications: 30

Ming Liu

Ming Liu

Hong Kong University of Science and Technology

Publications: 28

Davide Scaramuzza

Davide Scaramuzza

University of Zurich

Publications: 24

Juan Nieto

Juan Nieto

Microsoft (United States)

Publications: 23

Niko Sünderhauf

Niko Sünderhauf

Queensland University of Technology

Publications: 22

Marc Pollefeys

Marc Pollefeys

ETH Zurich

Publications: 21

Guoquan Huang

Guoquan Huang

University of Delaware

Publications: 21

Jonathan P. How

Jonathan P. How

MIT

Publications: 20

Peter Stone

Peter Stone

The University of Texas at Austin

Publications: 20

Dinesh Manocha

Dinesh Manocha

University of Maryland, College Park

Publications: 18

Michael Kaess

Michael Kaess

Carnegie Mellon University

Publications: 17

John J. Leonard

John J. Leonard

MIT

Publications: 17

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