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Computer Science
Switzerland
2025

D-Index & Metrics

Computer Science

D-Index
67
Citations
14121
World Ranking
2236
National Ranking
51

Daniel Razansky 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 Daniel Razansky 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: 308 publications — 75th percentile

75% of scientists in this discipline score the same or lower.

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

Daniel Razansky 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 Daniel Razansky 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: 67 D-Index — 85th percentile

85% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2025 - Research.com Computer Science in Switzerland Leader Award
  • 2022 - Research.com Computer Science in Switzerland Leader Award
  • 2019 - SPIE Fellow
  • 2018 - OSA Fellows Daniel Razansky Technical Univ. of Munich and Helmholtz Center Munich, Germany For pioneering and development of novel biophotonic and optoacoustic imaging methods and enabling their translational applications in biology and medicine.

Overview

Daniel Razansky is affiliated with the University of Zurich in Switzerland. Their primary research areas lie at the intersection of engineering and medicine, with a substantial focus on biomedical engineering and radiology, nuclear medicine, and imaging. Their work also encompasses neurology and cellular and molecular neuroscience, as well as mechanics of materials.

The scientist's research topics include:

  • Photoacoustic and Ultrasonic Imaging
  • Optical Imaging and Spectroscopy Techniques
  • Nanoplatforms for cancer theranostics
  • Optical Coherence Tomography Applications
  • Thermography and Photoacoustic Techniques
  • Neuroinflammation and Neurodegeneration Mechanisms
  • Advanced Fluorescence Microscopy Techniques

Daniel Razansky has published extensively, with notable papers such as:

  • Real-time 3D optoacoustic tracking of cell-sized magnetic microrobots circulating in the mouse brain vasculature (2022) in Science Advances
  • Multi-scale optoacoustic molecular imaging of brain diseases (2021) in European Journal of Nuclear Medicine and Molecular Imaging
  • Optoacoustic imaging of the skin (2021) in Experimental Dermatology
  • Multiscale optical and optoacoustic imaging of amyloid-β deposits in mice (2022) in Nature Biomedical Engineering
  • Ultrasound as a versatile tool for short- and long-term improvement and monitoring of brain function (2023) in Neuron

Frequent coauthors collaborating with Daniel Razansky include:

  • Xosé Luís Deán-Ben
  • Ruiqing Ni
  • Zhenyue Chen
  • Quanyu Zhou
  • Jan Klohs

Their research has often been published in venues including:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Photoacoustics
  • Advanced Science
  • Optics Letters
  • arXiv (Cornell University)

Daniel Razansky has received recognition in their field through awards such as the SPIE Fellow in 2019. They were also named an OSA Fellow in 2018 for pioneering and developing novel biophotonic and optoacoustic imaging methods and enabling their translational applications in biology and medicine.

Best Publications

  • Molecular Imaging by Means of Multispectral Optoacoustic Tomography (MSOT)

    Vasilis Ntziachristos;Daniel Razansky

  • Multispectral opto-acoustic tomography of deep-seated fluorescent proteins in vivo

    Daniel Razansky;Martin Distel;Claudio Vinegoni;Rui Ma

  • Multifunctional Nanocarriers for diagnostics, drug delivery and targeted treatment across blood-brain barrier: perspectives on tracking and neuroimaging.

    Sonu Bhaskar;Furong Tian;Tobias Stoeger;Wolfgang G Kreyling

  • Volumetric real-time multispectral optoacoustic tomography of biomarkers

    Daniel Razansky;Andreas Buehler;Vasilis Ntziachristos

  • Photoacoustics: a historical review

    Srirang Manohar;Daniel Razansky

  • Advanced optoacoustic methods for multiscale imaging of in vivo dynamics

    X. L. Deán-Ben;S. Gottschalk;B. Mc Larney;S. Shoham

  • Fast Semi-Analytical Model-Based Acoustic Inversion for Quantitative Optoacoustic Tomography

    Amir Rosenthal;Daniel Razansky;Vasilis Ntziachristos

  • High-sensitivity compact ultrasonic detector based on a pi-phase-shifted fiber Bragg grating.

    Amir Rosenthal;Daniel Razansky;Vasilis Ntziachristos

  • Deep learning optoacoustic tomography with sparse data

    Neda Davoudi;Neda Davoudi;Xosé Luís Deán-Ben;Xosé Luís Deán-Ben;Daniel Razansky;Daniel Razansky

  • Acoustic Inversion in Optoacoustic Tomography: A Review

    Amir Rosenthal;Vasilis Ntziachristos;Daniel Razansky

  • Multispectral photoacoustic imaging of fluorochromes in small animals.

    Daniel Razansky;Claudio Vinegoni;Vasilis Ntziachristos

  • Accurate Model-Based Reconstruction Algorithm for Three-Dimensional Optoacoustic Tomography

    X. L. Dean-Ben;A. Buehler;V. Ntziachristos;D. Razansky

  • Optoacoustic Imaging and Tomography: Reconstruction Approaches and Outstanding Challenges in Image Performance and Quantification

    Christian Lutzweiler;Daniel Razansky

  • Multispectral optoacoustic tomography (MSOT) scanner for whole-body small animal imaging

    Rui Ma;Adrian Taruttis;Vasilis Ntziachristos;Daniel Razansky

  • A genetically encoded near-infrared fluorescent calcium ion indicator

    Yong Qian;Kiryl D Piatkevich;Benedict Mc Larney;Ahmed S Abdelfattah

  • Rapid volumetric optoacoustic imaging of neural dynamics across the mouse brain.

    Sven Gottschalk;Oleksiy Degtyaruk;Benedict Mc Larney;Johannes Rebling

  • Video rate optoacoustic tomography of mouse kidney perfusion

    Andreas Buehler;Eva Herzog;Daniel Razansky;Vasilis Ntziachristos

  • Real-time imaging of cardiovascular dynamics and circulating gold nanorods with multispectral optoacoustic tomography

    Adrian Taruttis;Eva Herzog;Daniel Razansky;Vasilis Ntziachristos

  • Adding fifth dimension to optoacoustic imaging: volumetric time-resolved spectrally enriched tomography

    Xosé Luís Deán-Ben;Daniel Razansky

  • Optical Imaging of Cancer Heterogeneity with Multispectral Optoacoustic Tomography

    Eva Herzog;Adrian Taruttis;Nicolas Beziere;Andrey A Lutich

  • Portable spherical array probe for volumetric real-time optoacoustic imaging at centimeter-scale depths.

    X Luís Deán-Ben;Daniel Razansky

  • Fast Multispectral Optoacoustic Tomography (MSOT) for Dynamic Imaging of Pharmacokinetics and Biodistribution in Multiple Organs

    Adrian Taruttis;Stefan Morscher;Neal C. Burton;Daniel Razansky

  • Model-based optoacoustic inversions with incomplete projection data.

    Andreas Buehler;Amir Rosenthal;Thomas Jetzfellner;Alexander Dima

Frequent Co-Authors

Vasilis Ntziachristos
Vasilis Ntziachristos Technical University of Munich
X. Luís Deán-Ben
X. Luís Deán-Ben University of Zurich
Ralph Weissleder
Ralph Weissleder Harvard University
Matthias Nahrendorf
Matthias Nahrendorf Harvard University
Norbert Perrimon
Norbert Perrimon Harvard University
Agnes Görlach
Agnes Görlach Technical University of Munich
Roger M. Nitsch
Roger M. Nitsch University of Zurich
Robert E. Campbell
Robert E. Campbell University of Tokyo
Yael Nemirovsky
Yael Nemirovsky Technion – Israel Institute of Technology
Roland Riek
Roland Riek ETH Zurich

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