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D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 39 9514 9240 471 459 94 12201

Theodore Alexandrov publications per year

The chart shows the history of publications by Theodore Alexandrov between 2008 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Theodore Alexandrov published across 18 years, from 2008 to 2025, averaging 13.2 papers a year. Output peaked at 43 publications in 2022. 24 of the 237 publications appeared in the last two years.

No. of publications
10 20 30 40
Bar chart. Horizontal axis: year, 2008 to 2025. Vertical axis: number of publications, 0 to 43. Peak 43 publications in 2022. 2008: 3 publications 2009: 7 publications 2010: 6 publications 2011: 9 publications 2012: 15 publications 2013: 16 publications 2014: 5 publications 2015: 9 publications 2016: 10 publications 2017: 10 publications 2018: 9 publications 2019: 11 publications 2020: 23 publications 2021: 23 publications 2022: 43 publications 2023: 14 publications 2024: 19 publications 2025: 5 publications
2008 2025

237 publications in total across all disciplines

View publications per year as a table
Theodore Alexandrov: publications per year, 2008 to 2025
Year Publications
2008 3
2009 7
2010 6
2011 9
2012 15
2013 16
2014 5
2015 9
2016 10
2017 10
2018 9
2019 11
2020 23
2021 23
2022 43
2023 14
2024 19
2025 5
Total 237
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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.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 92–101 publications, is where this scientist sits. 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
32–41 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.

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421 94
102–111 420
112–121 497
122–131 544
132–141 555
142–151 609
152–161 559
162–171 534
172–181 556
182–191 583
192–201 519
202–211 508
212–221 490
222–231 437
232–241 423
242–251 408
252–261 377
262–271 301
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238
322–331 206
332–341 209
342–351 208
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104
412–421 94
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
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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.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 38–39 D-Index, is where this scientist sits. 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
30–31 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.

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983
34–35 918
36–37 990
38–39 968 39
40–41 907
42–43 821
44–45 763
46–47 689
48–49 543
50–51 543
52–53 518
54–55 500
56–57 458
58–59 400
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213
70–71 192
72–73 189
74–75 165
76–77 139
78–79 119
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98
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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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