World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
12201
World Ranking
9514
National Ranking
471

Theodore Alexandrov 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 Theodore Alexandrov 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: 94 publications — 7th percentile

7% of scientists in this discipline score the same or lower.

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

Theodore Alexandrov 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 Theodore Alexandrov 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: 39 D-Index — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Overview

Theodore Alexandrov is affiliated with the European Molecular Biology Laboratory in Germany and has a research profile characterized by contributions to biochemistry, genetics, and molecular biology. Their work spans diverse fields and includes a significant number of publications in molecular biology, environmental chemistry, spectroscopy, geophysics, and nephrology.

Alexandrov's research topics cover a range of scientific areas such as methane hydrates and related phenomena, metabolomics and mass spectrometry studies, earthquake detection and analysis, mass spectrometry techniques and applications, single-cell and spatial transcriptomics, advanced proteomics techniques and applications, and chronic kidney disease and diabetes.

Frequent publication venues associated with their work include:

  • OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Kidney International
  • Molecular Systems Biology

Among recent papers, notable titles include:

  • "Feature-based molecular networking in the GNPS analysis environment," 2020, Nature Methods
  • "An atlas of healthy and injured cell states and niches in the human kidney," 2023, Nature
  • "Critical Role of Type III Interferon in Controlling SARS-CoV-2 Infection in Human Intestinal Epithelial Cells," 2020, Cell Reports
  • "SpaceM reveals metabolic states of single cells," 2021, Nature Methods
  • "SARS-CoV-2 infects the human kidney and drives fibrosis in kidney organoids," 2021, Cell Stem Cell

Frequent co-authors who have collaborated extensively with Alexandrov are:

  • Christopher Anderton
  • Kumar Sharma
  • Guanshi Zhang
  • Ljiljana Paša-Tolić
  • Jessica Lukowski

Best Publications

  • Sharing and community curation of mass spectrometry data with Global Natural Products Social Molecular Networking

    Mingxun Wang;Jeremy J Carver;Vanessa V Phelan;Laura M Sanchez

  • Feature-based molecular networking in the GNPS analysis environment.

    Louis-Félix Nothias;Louis-Félix Nothias;Daniel Petras;Daniel Petras;Robin Schmid;Kai Dührkop

  • Mass spectral molecular networking of living microbial colonies

    Jeramie D. Watrous;Patrick J. Roach;Theodore Alexandrov;Theodore Alexandrov;Brandi S. Heath

  • FDR-controlled metabolite annotation for high-resolution imaging mass spectrometry

    Andrew Palmer;Prasad Phapale;Ilya Chernyavsky;Regis Lavigne;Regis Lavigne

  • Molecular cartography of the human skin surface in 3D

    Amina Bouslimani;Carla Renata Correa Porto;Christopher M Rath;Mingxun Wang

  • Bioactivity-Based Molecular Networking for the Discovery of Drug Leads in Natural Product Bioassay-Guided Fractionation

    Louis-Félix Nothias;Louis-Félix Nothias;Louis-Félix Nothias;Mélissa Nothias-Esposito;Mélissa Nothias-Esposito;Ricardo da Silva;Ricardo da Silva;Mingxun Wang;Mingxun Wang

  • MALDI imaging mass spectrometry: statistical data analysis and current computational challenges

    Theodore Alexandrov;Theodore Alexandrov

  • Spatial Metabolomics and Imaging Mass Spectrometry in the Age of Artificial Intelligence

    Theodore Alexandrov

  • Spatial Segmentation of Imaging Mass Spectrometry Data with Edge-Preserving Image Denoising and Clustering

    Theodore Alexandrov;Michael Becker;Sören-Oliver Deininger;Günther Ernst

  • Single-cell proteo-genomic reference maps of the hematopoietic system enable the purification and massive profiling of precisely defined cell states.

    Sergio Triana;Dominik Vonficht;Dominik Vonficht;Lea Jopp-Saile;Simon Raffel

  • A Review of Some Modern Approaches to the Problem of Trend Extraction

    Theodore Alexandrov;Silvia Bianconcini;Estela Bee Dagum;Peter Maass

  • Efficient spatial segmentation of large imaging mass spectrometry datasets with spatially aware clustering

    Theodore Alexandrov;Jan Hendrik Kobarg

  • The evolving field of imaging mass spectrometry and its impact on future biological research

    Jeramie D. Watrous;Theodore Alexandrov;Pieter C. Dorrestein

  • Exploring three-dimensional matrix-assisted laser desorption/ionization imaging mass spectrometry data: three-dimensional spatial segmentation of mouse kidney.

    Dennis Trede;Stefan Schiffler;Michael Becker;Stefan Wirtz

  • Feature-based Molecular Networking in the GNPS Analysis Environment

    Louis Felix Nothias;Daniel Petras;Robin Schmid;Kai Dührkop

  • 3D molecular cartography using LC-MS facilitated by Optimus and 'ili software.

    Ivan Protsyuk;Alexey V Melnik;Louis-Felix Nothias;Luca Rappez

  • Biomarker discovery in MALDI-TOF serum protein profiles using discrete wavelet transformation

    Theodore Alexandrov;Jens Decker;Bart Mertens;Andre M. Deelder

  • Coupling Targeted and Untargeted Mass Spectrometry for Metabolome-Microbiome-Wide Association Studies of Human Fecal Samples

    Alexey V. Melnik;Ricardo R. da Silva;Embriette R. Hyde;Alexander A. Aksenov

  • MALDI-imaging segmentation is a powerful tool for spatial functional proteomic analysis of human larynx carcinoma.

    Theodore Alexandrov;Michael Becker;Orlando Guntinas-Lichius;Günther Ernst

  • METASPACE: A community-populated knowledge base of spatial metabolomes in health and disease

    Alexandrov T;Ovchinnikova K;Palmer A;Kovalev

  • Meta-mass shift chemical profiling of metabolomes from coral reefs

    Aaron C. Hartmann;Aaron C. Hartmann;Daniel Petras;Robert A. Quinn;Ivan Protsyuk

Frequent Co-Authors

Pieter C. Dorrestein
Pieter C. Dorrestein University of California, San Diego
Nuno Bandeira
Nuno Bandeira University of California, San Diego
Kumar Sharma
Kumar Sharma The University of Texas Health Science Center at San Antonio
Steeve Boulant
Steeve Boulant University of Florida
Rob Knight
Rob Knight University of California, San Diego
Peter Maass
Peter Maass University of Bremen
Sanjay K. Jain
Sanjay K. Jain Johns Hopkins Medicine
Ravi Iyengar
Ravi Iyengar Icahn School of Medicine at Mount Sinai
William H. Gerwick
William H. Gerwick University of California, San Diego
Olga G. Troyanskaya
Olga G. Troyanskaya Princeton University

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