World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
41
Citations
5911
World Ranking
7055
National Ranking
239

Pasquale Memmolo 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 Pasquale Memmolo sits on this spectrum.

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 publications 804+

This scientist: 311 publications — 78th percentile

78% of scientists in this discipline score the same or lower.

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

Pasquale Memmolo 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 Pasquale Memmolo sits on this spectrum.

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: 41 D-Index — 31st percentile

31% of scientists in this discipline score the same or lower.

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

Overview

Pasquale Memmolo is affiliated with the National Research Council (CNR) in Italy. Their research expertise spans multiple disciplines, primarily within Physics and Astronomy, Engineering, and Biochemistry, Genetics, and Molecular Biology. The scientist's work is notably concentrated in specialized subfields including Atomic and Molecular Physics, and Optics; Biophysics; and Biomedical Engineering, with additional contributions to Media Technology and Computer Vision and Pattern Recognition.

The main research topics covered by Pasquale Memmolo involve Digital Holography and Microscopy, Cell Image Analysis Techniques, Microfluidic and Bio-sensing Technologies, and Image Processing Techniques and Applications. Further notable interests include Optical Measurement and Interference Techniques, Advanced Fluorescence Microscopy Techniques, and Advanced X-ray Imaging Techniques.

Recent publications illustrate the themes and scope of their work. Notable papers include:

  • "Dual-plane coupled phase retrieval for non-prior holographic imaging" (2022, PhotoniX)
  • "Stain-free identification of cell nuclei using tomographic phase microscopy in flow cytometry" (2022, Nature Photonics)
  • "Perspectives on liquid biopsy for label-free detection of 'circulating tumor cells' through intelligent lab-on-chips" (2020, View)
  • "Speeding up reconstruction of 3D tomograms in holographic flow cytometry via deep learning" (2022, Lab on a Chip)
  • "Identification of Microplastics Based on the Fractal Properties of Their Holographic Fingerprint" (2021, ACS Photonics)

Pasquale Memmolo has collaborated frequently with several researchers, indicating a broad network. Frequent co-authors include Pietro Ferraro, Lisa Miccio, Vittorio Bianco, Daniele Pirone, and Martina Mugnano.

The scientist's work has been published in various venues, with multiple publications appearing in:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Applied Optics
  • Optics and Lasers in Engineering
  • Biomedical Optics Express
  • View

Best Publications

  • Tomographic flow cytometry by digital holography.

    Francesco Merola;Pasquale Memmolo;Lisa Miccio;Roberto Savoia

  • Recent advances in holographic 3D particle tracking

    Pasquale Memmolo;Lisa Miccio;Melania Paturzo;Giuseppe Di Caprio

  • Strategies for reducing speckle noise in digital holography

    Vittorio Bianco;Pasquale Memmolo;Marco Leo;Silvio Montresor

  • Automatic focusing in digital holography and its application to stretched holograms

    P Memmolo;C Distante;M Paturzo;A Finizio

  • Digital holography as a method for 3D imaging and estimating the biovolume of motile cells

    F. Merola;L. Miccio;P. Memmolo;G. Di Caprio

  • Red blood cell as an adaptive optofluidic microlens.

    L. Miccio;P. Memmolo;F. Merola;P. A. Netti

  • Quasi noise-free digital holography.

    Vittorio Bianco;Pasquale Memmolo;Melania Paturzo;Andrea Finizio

  • Microplastic Identification via Holographic Imaging and Machine Learning

    Vittorio Bianco;Pasquale Memmolo;Pierluigi Carcagnì;Francesco Merola

  • Stain-free identification of cell nuclei using tomographic phase microscopy in flow cytometry

    Unknown

  • Refocusing criterion via sparsity measurements in digital holography.

    Pasquale Memmolo;Melania Paturzo;Bahram Javidi;Paolo A Netti

  • Digital Holography, a metrological tool for quantitative analysis: Trends and future applications

    Melania Paturzo;Vito Pagliarulo;Vittorio Bianco;Pasquale Memmolo

  • Synthesis and display of dynamic holographic 3D scenes with real-world objects

    Melania Paturzo;Pasquale Memmolo;Andrea Finizio;Risto Näsänen

  • Microscopy imaging and quantitative phase contrast mapping in turbid microfluidic channels by digital holography.

    Melania Paturzo;Andrea Finizio;Pasquale Memmolo;Roberto Puglisi

  • Diagnostic Tools for Lab-on-Chip Applications Based on Coherent Imaging Microscopy

    Francesco Merola;Pasquale Memmolo;Lisa Miccio;Vittorio Bianco

  • Full-angle tomographic phase microscopy of flowing quasi-spherical cells.

    Massimiliano M. Villone;Pasquale Memmolo;Francesco Merola;Martina Mugnano

  • Breakthroughs in Photonics 2013: Holographic Imaging

    P. Memmolo;V. Bianco;F. Merola;L. Miccio

  • Random resampling masks: a non-Bayesian one-shot strategy for noise reduction in digital holography

    V. Bianco;M. Paturzo;P. Memmolo;A. Finizio

  • Speeding up reconstruction of 3D tomograms in holographic flow cytometry via deep learning.

    Unknown

  • Holographic imaging of unlabelled sperm cells for semen analysis: a review.

    Giuseppe Di Caprio;Giuseppe Di Caprio;Maria Antonietta Ferrara;Lisa Miccio;Francesco Merola

  • Encoding multiple holograms for speckle-noise reduction in optical display.

    Pasquale Memmolo;Vittorio Bianco;Melania Paturzo;Bahram Javidi

  • Perspectives on liquid biopsy for label‐free detection of “circulating tumor cells” through intelligent lab‐on‐chips

    Lisa Miccio;Flora Cimmino;Ivana Kurelac;Massimiliano M. Villone

  • Controlling depth of focus in 3D image reconstructions by flexible and adaptive deformation of digital holograms

    P. Ferraro;M. Paturzo;P. Memmolo;A. Finizio

  • Numerical multiplexing and demultiplexing of digital holographic information for remote reconstruction in amplitude and phase.

    M. Paturzo;P. Memmolo;L. Miccio;A. Finizio

  • All-optical microfluidic chips for reconfigurable dielectrophoretic trapping through SLM light induced patterning.

    Lisa Miccio;Pasquale Memmolo;Simonetta Grilli;Pietro Ferraro

  • Simultaneous Optical Manipulation, 3-D Tracking, and Imaging of Micro-Objects by Digital Holography in Microfluidics

    F. Merola;L. Miccio;P. Memmolo;M. Paturzo

  • Label-Free Assessment of the Drug Resistance of Epithelial Ovarian Cancer Cells in a Microfluidic Holographic Flow Cytometer Boosted through Machine Learning

    Lu Xin;Wen Xiao;Leiping Che;JinJin Liu

  • Three-Dimensional Quantitative Intracellular Visualization of Graphene Oxide Nanoparticles by Tomographic Flow Cytometry.

    Daniele Pirone;Martina Mugnano;Pasquale Memmolo;Francesco Merola

  • Numerical Manipulation of Digital Holograms for 3-D Imaging and Display: An Overview

    P. Memmolo;V. Bianco;M. Paturzo;P. Ferraro

  • Combining ESPI with laser scanning for 3D characterization of racing tyres sections

    Vito Pagliarulo;Flavio Farroni;Pietro Paolo Ferraro;Antonio Lanzotti

  • Quantitative phase maps denoising of long holographic sequences by using SPADEDH algorithm

    Pasquale Memmolo;Maria Iannone;Maurizio Ventre;Paolo Antonio Netti

Frequent Co-Authors

Paolo A. Netti
Paolo A. Netti Italian Institute of Technology
Pier Luca Maffettone
Pier Luca Maffettone University of Naples Federico II
Bahram Javidi
Bahram Javidi University of Connecticut
Achille Iolascon
Achille Iolascon University of Naples Federico II
Antonia M. Tulino
Antonia M. Tulino University of Naples Federico II
Giuseppe Mensitieri
Giuseppe Mensitieri University of Naples Federico II
Marco Leo
Marco Leo National Research Council (CNR)
Thomas J. Naughton
Thomas J. Naughton National University of Ireland, Maynooth
Angelo Fontana
Angelo Fontana National Academies of Sciences, Engineering, and Medicine
Emanuela Mazzon
Emanuela Mazzon University of Messina

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