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Tim Wilhelm Nattkemper

Tim Wilhelm Nattkemper

Bielefeld University
Germany

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 35 11810 11474 584 571 212 4324

Tim Wilhelm Nattkemper publications per year

The chart shows the history of publications by Tim Wilhelm Nattkemper between 1996 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Tim Wilhelm Nattkemper published across 31 years, from 1996 to 2026, averaging 8.4 papers a year. Output peaked at 17 publications in 2005. 12 of the 261 publications appeared in the last two years.

No. of publications
5 10 15
Bar chart. Horizontal axis: year, 1996 to 2026. Vertical axis: number of publications, 0 to 17. Peak 17 publications in 2005. 1996: 1 publication 1997: 0 publications 1998: 1 publication 1999: 1 publication 2000: 5 publications 2001: 5 publications 2002: 2 publications 2003: 5 publications 2004: 13 publications 2005: 17 publications 2006: 14 publications 2007: 14 publications 2008: 15 publications 2009: 10 publications 2010: 5 publications 2011: 17 publications 2012: 11 publications 2013: 12 publications 2014: 12 publications 2015: 7 publications 2016: 17 publications 2017: 4 publications 2018: 6 publications 2019: 7 publications 2020: 16 publications 2021: 6 publications 2022: 16 publications 2023: 5 publications 2024: 5 publications 2025: 6 publications 2026: 6 publications
1996 2026

261 publications in total across all disciplines

View publications per year as a table
Tim Wilhelm Nattkemper: publications per year, 1996 to 2026
Year Publications
1996 1
1997 0
1998 1
1999 1
2000 5
2001 5
2002 2
2003 5
2004 13
2005 17
2006 14
2007 14
2008 15
2009 10
2010 5
2011 17
2012 11
2013 12
2014 12
2015 7
2016 17
2017 4
2018 6
2019 7
2020 16
2021 6
2022 16
2023 5
2024 5
2025 6
2026 6
Total 261
Download as CSV

Tim Wilhelm Nattkemper 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 Tim Wilhelm Nattkemper 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, 212–221 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: 212 publications — 51st percentile

51% 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
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
212–221 490 212
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
Download as CSV

Tim Wilhelm Nattkemper 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 Tim Wilhelm Nattkemper 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, 34–35 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: 35 D-Index — 20th percentile

20% 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 35
36–37 990
38–39 968
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
Download as CSV

Overview

Tim Wilhelm Nattkemper is affiliated with Bielefeld University in Germany. Their research primarily focuses on the field of Environmental Science, with significant work within its subfields including Molecular Biology, Ecology, Artificial Intelligence, Mechanical Engineering, and Water Science and Technology.

The main topics addressed by Nattkemper's work are:

  • Coral and Marine Ecosystems Studies
  • Genomics and Phylogenetic Studies
  • Water Quality Monitoring Technologies
  • Diatoms and Algae Research
  • Species Distribution and Climate Change
  • Identification and Quantification in Food
  • Advanced Neural Network Applications

The scientist has contributed to various publication venues, frequently publishing in:

  • Zenodo (CERN European Organization for Nuclear Research)
  • Frontiers in Marine Science
  • PLoS ONE
  • arXiv (Cornell University)
  • Scientific Reports

Recent papers authored or coauthored by Nattkemper include:

  • "The quest for seafloor macrolitter: a critical review of background knowledge, current methods and future prospects" (2020, Environmental Research Letters)
  • "Repositories for Taxonomic Data: Where We Are and What is Missing" (2020, Systematic Biology)
  • "Deep learning-based diatom taxonomy on virtual slides" (2020, Scientific Reports)
  • "A Digital Twin concept for the prescriptive maintenance of protective coating systems on wind turbine structures" (2021, Wind Engineering)
  • "Making marine image data FAIR" (2022, Scientific Data)

Frequent collaborators in their research include:

  • Daniel Langenkämper
  • Martin Zurowietz
  • Bánk Beszteri
  • Michael Kloster
  • Torben Möller

Best Publications

  • Phylogenetic classification of short environmental DNA fragments

    Lutz Krause;Naryttza N. Diaz;Alexander Goesmann;Scott Kelley

  • TACOA: taxonomic classification of environmental genomic fragments using a kernelized nearest neighbor approach.

    Naryttza N. Diaz;Lutz Krause;Alexander Goesmann;Karsten Niehaus

  • BIIGLE 2.0 - Browsing and Annotating Large Marine Image Collections

    Daniel Langenkämper;Martin Zurowietz;Timm Schoening;Tim Wilhelm Nattkemper

  • Semi-automated image analysis for the assessment of megafaunal densities at the Arctic deep-sea observatory HAUSGARTEN.

    Timm Schoening;Melanie Bergmann;Jörg Ontrup;James Taylor

  • Perspectives in visual imaging for marine biology and ecology: from acquisition to understanding

    Jennifer M. Durden;Timm Schoening;Franziska Althaus;Ariell Friedman

  • A neural classifier enabling high-throughput topological analysis of lymphocytes in tissue sections

    T.W. Nattkemper;H.J. Ritter;W. Schubert

  • MeltDB 2.0–advances of the metabolomics software system

    Nikolas Kessler;Heiko Neuweger;Anja Bonte;Georg Langenkämper

  • An adaptive tissue characterization network for model-free visualization of dynamic contrast-enhanced magnetic resonance image data

    T. Twellmann;O. Lichte;T.W. Nattkemper

  • Use of machine-learning algorithms for the automated detection of cold-water coral habitats: a pilot study

    Autun Purser;Melanie Bergmann;Tomas Lundälv;Jörg Ontrup

  • Evaluation of radiological features for breast tumour classification in clinical screening with machine learning methods

    Tim W. Nattkemper;Bert Arnrich;Oliver Lichte;Wiebke Timm

  • A neural network architecture for automatic segmentation of fluorescence micrographs

    Tim Wilhelm Nattkemper;Heiko Wersing;Walter Schubert;Helge Ritter

  • Human vs. machine: evaluation of fluorescence micrographs

    Tim Wilhelm Nattkemper;Thorsten Twellmann;Helge Ritter;Walter Schubert;Walter Schubert

  • Repositories for Taxonomic Data: Where We Are and What is Missing.

    Aurélien Miralles;Aurélien Miralles;Teddy Bruy;Teddy Bruy;Katherine Wolcott;Katherine Wolcott;Mark D Scherz

  • GISMO--gene identification using a support vector machine for ORF classification

    Lutz Krause;Alice C. McHardy;Tim Wilhelm Nattkemper;Alfred Pühler

  • Learning to Classify Organic and Conventional Wheat - A Machine Learning Driven Approach Using the MeltDB 2.0 Metabolomics Analysis Platform.

    Nikolas Kessler;Anja Bonte;Stefan Albaum;Paul Mäder

  • Detection of suspicious lesions in dynamic contrast enhanced MRI data

    T. Twellmann;A. Saalbach;C. Muller;T.W. Nattkemper

  • Tumor feature visualization with unsupervised learning.

    Tim Wilhelm Nattkemper;A Wismuller

  • Current and future trends in marine image annotation software

    Jose Nuno Gomes-Pereira;Vincent Auger;Kolja Beisiegel;Robert Benjamin

  • Automatic segmentation of digital micrographs: a survey.

    Tim W. Nattkemper

  • An in situ probe for on-line monitoring of cell density and viability on the basis of dark field microscopy in conjunction with image processing and supervised machine learning.

    Ning Wei;Jia You;Karl Friehs;Erwin Flaschel

  • Libraries of synthetic stationary-phase and stress promoters as a tool for fine-tuning of expression of recombinant proteins in Escherichia coli.

    Gerhard Miksch;Frank Bettenworth;Karl Friehs;Erwin Flaschel

  • MAIA—A machine learning assisted image annotation method for environmental monitoring and exploration

    Martin Zurowietz;Daniel Langenkämper;Brett Hosking;Henry A. Ruhl;Henry A. Ruhl

  • Breast MRI data analysis by LLE

    C. Varini;T.W. Nattkemper;A. Degenhard;A. Wismuller

Frequent Co-Authors

Helge Ritter
Helge Ritter Bielefeld University
Melanie Bergmann
Melanie Bergmann Alfred Wegener Institute for Polar and Marine Research
Karsten Niehaus
Karsten Niehaus Bielefeld University
Alexander Goesmann
Alexander Goesmann University of Giessen
Martin O. Leach
Martin O. Leach Royal Marsden NHS Foundation Trust
Nasir M. Rajpoot
Nasir M. Rajpoot University of Warwick
Axel Wismüller
Axel Wismüller University of Rochester
Anke Becker
Anke Becker Philipp University of Marburg
Daniel O.B. Jones
Daniel O.B. Jones National Oceanography Centre
Henry A. Ruhl
Henry A. Ruhl Monterey Bay Aquarium Research Institute

External Links

Personal website of Tim Wilhelm Nattkemper

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Best Scientists Citing Tim Wilhelm Nattkemper

Alfred Pühler

Alfred Pühler

Bielefeld University

Publications: 26

Alexander Goesmann

Alexander Goesmann

University of Giessen

Publications: 22

Anke Becker

Anke Becker

Philipp University of Marburg

Publications: 22

Jacopo Aguzzi

Jacopo Aguzzi

Spanish National Research Council

Publications: 20

Nasir M. Rajpoot

Nasir M. Rajpoot

University of Warwick

Publications: 19

Daniel O.B. Jones

Daniel O.B. Jones

National Oceanography Centre

Publications: 18

Henry A. Ruhl

Henry A. Ruhl

Monterey Bay Aquarium Research Institute

Publications: 17

Andreas Schlüter

Andreas Schlüter

Bielefeld University

Publications: 15

Karsten Niehaus

Karsten Niehaus

Bielefeld University

Publications: 15

Jens Greinert

Jens Greinert

GEOMAR Helmholtz Centre for Ocean Research Kiel

Publications: 15

Axel Wismüller

Axel Wismüller

University of Rochester

Publications: 14

Brian J. Bett

Brian J. Bett

National Oceanography Centre

Publications: 13

Veerle A.I. Huvenne

Veerle A.I. Huvenne

National Oceanography Centre

Publications: 13

Jörn Kalinowski

Jörn Kalinowski

Bielefeld University

Publications: 12

Anant Madabhushi

Anant Madabhushi

Emory University

Publications: 11

Lutz Krause

Lutz Krause

University of Queensland

Publications: 10

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Yong Yang

Yong Yang

Chinese Academy of Sciences

Michel Labrecque

Michel Labrecque

University of Montreal

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Raquel Urtasun

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Jianquan Yao

Jianquan Yao

Tianjin University

Sally J Ozonoff

Sally J Ozonoff

University of California, Davis

Daniel Cervone

Daniel Cervone

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Chantal Kemner

Chantal Kemner

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Mattias Ellert

Mattias Ellert

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Eugenio Foresti

Eugenio Foresti

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Michael T. Tolley

Michael T. Tolley

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Pierre Rabu

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Carl R. Chen

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