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Alejandro Speck-Planche

Alejandro Speck-Planche

University of Porto
Portugal

D-Index & Metrics

Computer Science

D-Index
34
Citations
3122
World Ranking
12324
National Ranking
41

Alejandro Speck-Planche 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 Alejandro Speck-Planche sits on this spectrum.

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 publications 991+

This scientist: 81 publications — 3rd percentile

3% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Alejandro Speck-Planche 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 Alejandro Speck-Planche sits on this spectrum.

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 D-Index 131+

This scientist: 34 D-Index — 16th percentile

16% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Alejandro Speck-Planche is affiliated with the University of Porto in Portugal. Their research spans multiple scientific disciplines, with a strong focus on computational approaches to drug discovery and related biomedical fields. The primary fields of study include Computer Science, Biochemistry, Genetics and Molecular Biology, and Medicine.

The subfields in which they are active include Computational Theory and Mathematics, Molecular Biology, Organic Chemistry, Pharmacology, and Oncology. Their research topics cover a broad range, notably in computational drug discovery methods, vaccines and immunoinformatics approaches, synthesis and biological activity, as well as genetics, bioinformatics, and biomedical research. Additionally, their work touches on cholinesterase and neurodegenerative diseases, bioinformatics and genomic networks, and machine learning in bioinformatics.

Recent publications authored or coauthored by Alejandro Speck-Planche include:

  • Artificial Intelligence, Big Data and Machine Learning Approaches in Precision Medicine & Drug Discovery (2021, Current Drug Targets)
  • Cell-based multi-target QSAR model for design of virtual versatile inhibitors of liver cancer cell lines (2020, SAR and QSAR in Environmental Research)
  • PTML Modeling for Alzheimer's Disease: Design and Prediction of Virtual Multi-Target Inhibitors of GSK3B, HDAC1, and HDAC6 (2020, Current Topics in Medicinal Chemistry)
  • PTML Modeling for Pancreatic Cancer Research: In Silico Design of Simultaneous Multi-Protein and Multi-Cell Inhibitors (2022, Biomedicines)
  • QSAR Modeling for Multi-Target Drug Discovery: Designing Simultaneous Inhibitors of Proteins in Diverse Pathogenic Parasites (2021, Frontiers in Chemistry)

Frequently appearing coauthors in their work are:

  • Valeria V. Kleandrova
  • M. Natália D. S. Cordeiro
  • Marcus Tullius Scotti
  • Luciana Scotti
  • Anuraj Nayarisseri

The most common publication venues where Alejandro Speck-Planche has contributed include:

  • Current Topics in Medicinal Chemistry
  • Frontiers in Chemistry
  • Expert Opinion on Drug Discovery
  • Applied Sciences
  • Future Medicinal Chemistry

Best Publications

  • Computational tool for risk assessment of nanomaterials: novel QSTR-perturbation model for simultaneous prediction of ecotoxicity and cytotoxicity of uncoated and coated nanoparticles under multiple experimental conditions.

    Valeria V. Kleandrova;Feng Luan;Feng Luan;Humberto González-Díaz;Humberto González-Díaz;Juan M. Ruso

  • Computer-aided nanotoxicology: Assessing cytotoxicity of nanoparticles under diverse experimental conditions by using a novel QSTR-perturbation approach

    Feng Luan;Feng Luan;Valeria V. Kleandrova;Humberto González-Díaz;Humberto González-Díaz;Juan M. Ruso

  • Computational ecotoxicology: simultaneous prediction of ecotoxic effects of nanoparticles under different experimental conditions.

    Valeria V. Kleandrova;Feng Luan;Humberto González-Díaz;Juan M. Ruso

  • Rational drug design for anti-cancer chemotherapy: multi-target QSAR models for the in silico discovery of anti-colorectal cancer agents.

    Alejandro Speck-Planche;Valeria V. Kleandrova;Feng Luan;Feng Luan;M. Natália D.S. Cordeiro

  • Chemoinformatics in anti-cancer chemotherapy: Multi-target QSAR model for the in silico discovery of anti-breast cancer agents

    Alejandro Speck-Planche;Valeria V. Kleandrova;Feng Luan;Feng Luan;M. Natália D.S. Cordeiro

  • Multi-target drug discovery in anti-cancer therapy: Fragment-based approach toward the design of potent and versatile anti-prostate cancer agents

    Alejandro Speck-Planche;Valeria V. Kleandrova;Feng Luan;M. Natália D.S. Cordeiro

  • Artificial Intelligence, Big Data and Machine Learning Approaches in Precision Medicine & Drug Discovery.

    Anuraj Nayarisseri;Ravina Khandelwal;Poonam Tanwar;Maddala Madhavi

  • Enabling the Discovery and Virtual Screening of Potent and Safe Antimicrobial Peptides. Simultaneous Prediction of Antibacterial Activity and Cytotoxicity

    Valeria V. Kleandrova;Juan M. Ruso;Alejandro Speck-Planche;Alejandro Speck-Planche;M. Natália Dias Soeiro Cordeiro

  • Speeding up Early Drug Discovery in Antiviral Research: A Fragment-Based in Silico Approach for the Design of Virtual Anti-Hepatitis C Leads

    Alejandro Speck-Planche;M. Natália Dias Soeiro Cordeiro

  • Multitasking models for quantitative structure-biological effect relationships: current status and future perspectives to speed up drug discovery.

    Alejandro Speck-Planche;Maria Natália Dias Soeiro Cordeiro

  • Chemoinformatics in multi-target drug discovery for anti-cancer therapy: in silico design of potent and versatile anti-brain tumor agents.

    Alejandro Speck-Planche;Valeria V. Kleandrova;Feng Luan;M. Natalia D. S. Cordeiro

  • Fragment-based approach for the in silico discovery of multi-target insecticides

    Alejandro Speck-Planche;Alejandro Speck-Planche;Valeria V. Kleandrova;Marcus T. Scotti

  • In silico discovery and virtual screening of multi-target inhibitors for proteins in Mycobacterium tuberculosis.

    Alejandro Speck-Planche;Valeria V. Kleandrova;Feng Luan;M. Natalia D.S. Cordeiro

  • New insights toward the discovery of antibacterial agents: multi-tasking QSBER model for the simultaneous prediction of anti-tuberculosis activity and toxicological profiles of drugs.

    Alejandro Speck-Planche;Valeria V. Kleandrova;Valeria V. Kleandrova;M. Natália D.S. Cordeiro

  • Simultaneous virtual prediction of anti-Escherichia coli activities and ADMET profiles: A chemoinformatic complementary approach for high-throughput screening.

    Alejandro Speck-Planche;M. N. D. S. Cordeiro

  • Fragment-based QSAR model toward the selection of versatile anti-sarcoma leads.

    Alejandro Speck-Planche;Valeria V. Kleandrova;Feng Luan;M. Natália D.S. Cordeiro

  • Computational modeling in nanomedicine: prediction of multiple antibacterial profiles of nanoparticles using a quantitative structure-activity relationship perturbation model

    Alejandro Speck-Planche;Valeria V Kleandrova;Feng Luan;Maria Natália D S Cordeiro

  • Unified multi-target approach for the rational in silico design of anti-bladder cancer agents.

    Alejandro Speck-Planche;Valeria V Kleandrova;Feng Luan;M N D S Cordeiro

  • First Multitarget Chemo-Bioinformatic Model To Enable the Discovery of Antibacterial Peptides against Multiple Gram-Positive Pathogens.

    Alejandro Speck-Planche;Alejandro Speck-Planche;Valeria V. Kleandrova;Juan M. Ruso;M. N. D. S. Cordeiro;M. N. D. S. Cordeiro;M. N. D. S. Cordeiro

  • Multi-Target Inhibitors for Proteins Associated with Alzheimer: In Silico Discovery using Fragment-Based Descriptors

    Alejandro Speck-Planche;Valeria V. Kleandrova;Feng Luan;M. Natalia D. S. Cordeiro

  • De novo computational design of compounds virtually displaying potent antibacterial activity and desirable in vitro ADMET profiles

    Alejandro Speck-Planche;M. Natália D. S. Cordeiro

Frequent Co-Authors

M. Natália D. S. Cordeiro
M. Natália D. S. Cordeiro University of Porto
Humberto González-Díaz
Humberto González-Díaz University of the Basque Country
Eugene N. Muratov
Eugene N. Muratov University of North Carolina at Chapel Hill
Eugenio Uriarte
Eugenio Uriarte University of Santiago de Compostela
Maria João Matos
Maria João Matos University of Santiago de Compostela
Lourdes Santana
Lourdes Santana University of Santiago de Compostela

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Best Scientists Citing Alejandro Speck-Planche

Humberto González-Díaz

Humberto González-Díaz

University of the Basque Country

Publications: 68

Andrey A. Toropov

Andrey A. Toropov

Mario Negri Institute for Pharmacological Research

Publications: 34

M. Natália D. S. Cordeiro

M. Natália D. S. Cordeiro

University of Porto

Publications: 22

Kunal Roy

Kunal Roy

Jadavpur University

Publications: 18

Jerzy Leszczynski

Jerzy Leszczynski

Jackson State University

Publications: 17

José Maria Monserrat

José Maria Monserrat

Federal University of Rio Grande

Publications: 6

Dong-Sheng Cao

Dong-Sheng Cao

Central South University

Publications: 6

Abdeltif Amrane

Abdeltif Amrane

University of Rennes

Publications: 5

Willie J.G.M. Peijnenburg

Willie J.G.M. Peijnenburg

Leiden University

Publications: 5

José L. Medina-Franco

José L. Medina-Franco

National Autonomous University of Mexico

Publications: 5

Haralambos Sarimveis

Haralambos Sarimveis

National Technical University of Athens

Publications: 5

Iseult Lynch

Iseult Lynch

University of Birmingham

Publications: 4

Martina G. Vijver

Martina G. Vijver

Leiden University

Publications: 4

Florencio M. Ubeira

Florencio M. Ubeira

University of Santiago de Compostela

Publications: 4

David A. Winkler

David A. Winkler

La Trobe University

Publications: 4

Janeck J. Scott-Fordsmand

Janeck J. Scott-Fordsmand

Aarhus University

Publications: 3

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