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José Rodellar

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 41 4271 4101 75 74 267 7468

José Rodellar publications per year

The chart shows the history of publications by José Rodellar between 1982 and 2024, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. José Rodellar published across 43 years, from 1982 to 2024, averaging 7.3 papers a year. Output peaked at 27 publications in 2015. 2 of the 312 publications appeared in the last two years.

No. of publications
5 10 15 20 25
Bar chart. Horizontal axis: year, 1982 to 2024. Vertical axis: number of publications, 0 to 27. Peak 27 publications in 2015. 1982: 1 publication 1983: 1 publication 1984: 0 publications 1985: 2 publications 1986: 1 publication 1987: 5 publications 1988: 4 publications 1989: 5 publications 1990: 1 publication 1991: 2 publications 1992: 4 publications 1993: 5 publications 1994: 5 publications 1995: 13 publications 1996: 2 publications 1997: 4 publications 1998: 4 publications 1999: 9 publications 2000: 4 publications 2001: 8 publications 2002: 7 publications 2003: 9 publications 2004: 6 publications 2005: 18 publications 2006: 7 publications 2007: 16 publications 2008: 9 publications 2009: 16 publications 2010: 10 publications 2011: 10 publications 2012: 11 publications 2013: 13 publications 2014: 13 publications 2015: 27 publications 2016: 11 publications 2017: 9 publications 2018: 11 publications 2019: 8 publications 2020: 9 publications 2021: 6 publications 2022: 4 publications 2023: 1 publication 2024: 1 publication
1982 2024

312 publications in total across all disciplines

View publications per year as a table
José Rodellar: publications per year, 1982 to 2024
Year Publications
1982 1
1983 1
1984 0
1985 2
1986 1
1987 5
1988 4
1989 5
1990 1
1991 2
1992 4
1993 5
1994 5
1995 13
1996 2
1997 4
1998 4
1999 9
2000 4
2001 8
2002 7
2003 9
2004 6
2005 18
2006 7
2007 16
2008 9
2009 16
2010 10
2011 10
2012 11
2013 13
2014 13
2015 27
2016 11
2017 9
2018 11
2019 8
2020 9
2021 6
2022 4
2023 1
2024 1
Total 312
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José Rodellar publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where José Rodellar sits on this spectrum.

No. of scientists
100 200 300 400
Bar chart with 53 bars. Horizontal axis: publications, 34–53 to 1,065+. Vertical axis: number of scientists, 0 to 445. Most scientists, 445, have 174–193 publications. The last bar groups every scientist with 1,065 publications or more. The highlighted bar, 254–273 publications, is where this scientist sits. 34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34–53 publications 1,065+

This scientist: 267 publications — 49th percentile

49% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

View publications distribution as a table
Number of Electronics and Electrical Engineering scientists by publication count, Research.com 2026 ranking edition. Based on 6,875 ranked scientists.
Publications Scientists This scientist
34–53 24
54–73 52
74–93 114
94–113 203
114–133 269
134–153 355
154–173 403
174–193 445
194–213 430
214–233 431
234–253 399
254–273 366 267
274–293 335
294–313 300
314–333 276
334–353 250
354–373 214
374–393 187
394–413 152
414–433 169
434–453 147
454–473 111
474–493 117
494–513 103
514–533 99
534–553 92
554–573 75
574–593 58
594–613 69
614–633 50
634–653 62
654–673 54
674–693 44
694–713 37
714–733 28
734–753 26
754–773 26
774–793 19
794–813 23
814–833 20
834–853 16
854–873 20
874–893 11
894–913 11
914–933 16
934–953 13
954–973 10
974–993 11
994–1,013 9
1,014–1,033 9
1,034–1,053 10
1,054–1,064 6
1,065+ 99
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José Rodellar D-index placement in Electronics and Electrical Engineering in 2026

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

No. of scientists
50 100 150 200 250
Bar chart with 82 bars. Horizontal axis: D-Index, 30 to 111+. Vertical axis: number of scientists, 0 to 263. Most scientists, 263, have 32 D-Index. The last bar groups every scientist with 111 D-Index or more. The highlighted bar, 41 D-Index, is where this scientist sits. 30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 41 D-Index — 39th percentile

39% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

View D-Index distribution as a table
Number of Electronics and Electrical Engineering scientists by D-index, Research.com 2026 ranking edition. Based on 6,875 ranked scientists.
D-Index Scientists This scientist
30 178
31 257
32 263
33 262
34 244
35 236
36 211
37 220
38 214
39 214
40 205
41 187 41
42 194
43 201
44 155
45 189
46 148
47 160
48 134
49 130
50 141
51 156
52 108
53 130
54 112
55 97
56 111
57 102
58 108
59 120
60 103
61 93
62 92
63 74
64 77
65 73
66 64
67 69
68 60
69 39
70 57
71 59
72 46
73 49
74 38
75 35
76 32
77 35
78 31
79 22
80 34
81 31
82 34
83 23
84 18
85 30
86 19
87 19
88 20
89 8
90 17
91 7
92 14
93 9
94 15
95 10
96 12
97 10
98 10
99 12
100 16
101 5
102 7
103 7
104 8
105 9
106 13
107 4
108 5
109 10
110 8
111+ 96
Download as CSV

Overview

José Rodellar is affiliated with the Universitat Politècnica de Catalunya in Spain. Their research primarily focuses on areas within computer science and medicine, with a significant emphasis on digital imaging and artificial intelligence applications related to blood diseases.

Their recent work includes publications in various scientific journals. Notable papers by José Rodellar are:

  • "A dataset of microscopic peripheral blood cell images for development of automatic recognition systems," 2020, Data in Brief
  • "A deep learning model (ALNet) for the diagnosis of acute leukaemia lineage using peripheral blood cell images," 2021, Computer Methods and Programs in Biomedicine
  • "A Deep Learning Approach for Segmentation of Red Blood Cell Images and Malaria Detection," 2020, Entropy
  • "Automatic identification of malaria and other red blood cell inclusions using convolutional neural networks," 2021, Computers in Biology and Medicine
  • "Automatic generation of artificial images of leukocytes and leukemic cells using generative adversarial networks (syntheticcellgan)," 2022, Computer Methods and Programs in Biomedicine

José Rodellar has collaborated frequently with other researchers. Their most common coauthors include:

  • Anna Merino
  • Ángel Molina
  • Santiago Alférez
  • Laura Boldú
  • Andrea Acevedo

Their work is published predominantly in these venues:

  • Computer Methods and Programs in Biomedicine
  • Computers in Biology and Medicine
  • Journal of Clinical Pathology
  • Ciencia Latina Revista Científica Multidisciplinar
  • Data in Brief

José Rodellar's main fields of study include computer science, with 17 publications, and medicine, with 10 publications. Their research branches into specialized subfields such as computer vision and pattern recognition, artificial intelligence, biophysics, radiology, nuclear medicine and imaging, as well as infectious diseases.

Their primary research topics are:

  • Digital Imaging for Blood Diseases
  • AI in cancer detection
  • Cell Image Analysis Techniques
  • COVID-19 diagnosis using AI
  • Image Processing Techniques and Applications
  • Viral Infections and Vectors
  • Neonatal and Maternal Infections

Best Publications

  • The Hysteresis Bouc-Wen Model, a Survey

    Mohammed Ismail;Fayçal Ikhouane;José Rodellar

  • Systems with Hysteresis: Analysis, Identification and Control Using the Bouc-Wen Model

    Faycal Ikhouane;José Rodellar

  • Dynamic properties of the hysteretic Bouc-Wen model ☆

    Fayçal Ikhouane;Víctor Mañosa;José Rodellar

  • Adaptive Predictive Control: From the Concepts to Plant Optimization

    Juan Manuel Martâin Sâanchez;Jose Rodellar

  • Active and semi-active control of structures – theory and applications: A review of recent advances:

    Fabio Casciati;José Rodellar;Umut Yildirim

  • ON THE HYSTERETIC BOUC–WEN MODEL. PART I: FORCED LIMIT CYCLE CHARACTERIZATION

    Fayçal Ikhouane;José Rodellar

  • On the Hysteretic Bouc–Wen Model

    Fayçal Ikhouane;José Rodellar

  • Adaptive control of a hysteretic structural system

    FayçAl Ikhouane;VíCtor MañOsa;José Rodellar

  • Damage classification in structural health monitoring using principal component analysis and self-organizing maps

    D. A. Tibaduiza;L. E. Mujica;J. Rodellar

  • Predictive control method for decentralized operation of irrigation canals

    Manuel Gómez;José Rodellar;Juan A. Mantecón

  • A European Association for the Control of Structures joint perspective. Recent studies in civil structural control across Europe

    Biswajit Basu;Oreste S. Bursi;Fabio Casciati;Sara Casciati

  • Variation of the Hysteresis Loop with the Bouc–Wen Model Parameters

    Fayçal Ikhouane;Jorge E. Hurtado;José Rodellar

  • An innovative isolation device for aseismic design

    M. Ismail;J. Rodellar;F. Ikhouane

  • Predictive Control of Structures

    José Rodellar;Alex H. Barbat;Juan M. Martín‐Sánchez

  • Wind turbine fault detection and classification by means of image texture analysis

    Magda Ruiz;Luis E. Mujica;Santiago Alférez;Leonardo Acho

  • Active Control of Nonlinear Base-Isolated Buildings

    Alex Barbat;J. Rodellar;E. P. Ryan;N. Molinares

  • A study of two unsupervised data driven statistical methodologies for detecting and classifying damages in structural health monitoring

    D.-A. Tibaduiza;M.-A. Torres-Arredondo;L.E. Mujica;J. Rodellar

  • Structural damage detection using principal component analysis and damage indices

    Diego A Tibaduiza;Luis E Mujica;José Rodellar;Alfredo Güemes

  • Hierarchical semi-active control of base-isolated structures using a new inverse model of magnetorheological dampers

    Arash Bahar;Francesc Pozo;Leonardo Acho;José Rodellar

  • ROBUST STABILIZATION OF A CLASS OF UNCERTAIN TIME DELAY SYSTEMS IN SLIDING MODE

    Ningsu Luo;Manuel De La Sen;José Rodellar

  • EXPERIMENTAL DIGITAL CONTROL OF STRUCTURES

    J. Rodellar;L. L. Chung;T. T. Soong;A. M. Reinhorn

Frequent Co-Authors

Alex H. Barbat
Alex H. Barbat Universitat Politècnica de Catalunya
Claus-Peter Fritzen
Claus-Peter Fritzen University of Siegen
M. De la Sen
M. De la Sen University of the Basque Country
Vicenç Puig
Vicenç Puig Universitat Politècnica de Catalunya
Hamid Reza Karimi
Hamid Reza Karimi Polytechnic University of Milan
Lieven Vandevelde
Lieven Vandevelde Ghent University
Oreste S. Bursi
Oreste S. Bursi University of Trento
Biswajit Basu
Biswajit Basu Trinity College Dublin
George Leitmann
George Leitmann University of California, Berkeley
James M. Kelly
James M. Kelly University of California, Berkeley

External Links

Personal website of José Rodellar Google Scholar page

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Best Scientists Citing José Rodellar

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Publications: 22

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Xing-Gang Yan

University of Kent

Publications: 18

Vicenç Puig

Vicenç Puig

Universitat Politècnica de Catalunya

Publications: 15

Sarah K. Spurgeon

Sarah K. Spurgeon

University College London

Publications: 15

Dragoslav D. Šiljak

Dragoslav D. Šiljak

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Publications: 14

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Sriram Narasimhan

University of California, Los Angeles

Publications: 12

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Tegoeh Tjahjowidodo

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Publications: 11

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Wen Yu

CINVESTAV

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Soo Jay Phee

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Publications: 10

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Publications: 9

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