World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
42
Citations
9155
World Ranking
6424
National Ranking
76

Environmental Sciences

D-Index
43
Citations
9907
World Ranking
6971
National Ranking
99

Peter Steen Mikkelsen 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 Peter Steen Mikkelsen 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: 306 publications — 77th percentile

77% of scientists in this discipline score the same or lower.

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

Peter Steen Mikkelsen 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 Peter Steen Mikkelsen 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: 42 D-Index — 35th percentile

35% of scientists in this discipline score the same or lower.

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

Overview

Peter Steen Mikkelsen is affiliated with the Technical University of Denmark. Their research primarily focuses on environmental science and engineering, with specific expertise in environmental engineering, global and planetary change, water science and technology, civil and structural engineering, and industrial and manufacturing engineering.

The key topics covered in their research include:

  • Urban Stormwater Management Solutions
  • Flood Risk Assessment and Management
  • Water Systems and Optimization
  • Hydrology and Watershed Management Studies
  • Hydrological Forecasting Using AI
  • Water-Energy-Food Nexus Studies
  • Water Quality Monitoring Technologies

Peter Steen Mikkelsen has contributed extensively to research published in various journals and venues. The most frequent publication venues are:

  • Water Research
  • Water Science & Technology
  • Journal of Hydroinformatics
  • Water
  • Zenodo (CERN European Organization for Nuclear Research)

Recent papers authored or co-authored by Peter Steen Mikkelsen include:

  • Living and Prototyping Digital Twins for Urban Water Systems: Towards Multi-Purpose Value Creation Using Models and Sensors, 2021, Water
  • A decade of monitoring micropollutants in urban wet-weather flows: What did we learn?, 2022, Water Research
  • CSO Reduction by Integrated Model Predictive Control of Stormwater Inflows: A Simulated Proof of Concept Using Linear Surrogate Models, 2020, Water Resources Research
  • Soft sensing of water depth in combined sewers using LSTM neural networks with missing observations, 2021, Journal of Hydro-environment Research
  • Prioritize effluent quality, operational costs or global warming? - Using predictive control of wastewater aeration for flexible management of objectives in WRRFs, 2021, Water Research

Collaboration is a notable aspect of Peter Steen Mikkelsen's work, with frequent co-authors including:

  • Luca Vezzaro
  • Morten Borup
  • Lena Mutzner
  • Agnethe Nedergaard Pedersen
  • Annette Brink-Kjær

Their research spans the integration of advanced modeling techniques, predictive control, and digital twin technologies to address challenges in urban water systems, stormwater management, and wastewater treatment. This interdisciplinary approach encompasses the application of AI and sensor data to improve water management infrastructure and environmental outcomes.

Best Publications

  • SUDS, LID, BMPs, WSUD and more – The evolution and application of terminology surrounding urban drainage

    Tim D. Fletcher;William Shuster;William F. Hunt;Richard Ashley

  • Framework for economic pluvial flood risk assessment considering climate change effects and adaptation benefits

    Qianqian Zhou;Peter Steen Mikkelsen;Kirsten Halsnæs;Karsten Arnbjerg-Nielsen

  • Review: A critical review of integrated urban water modelling - Urban drainage and beyond

    Peter M. Bach;Wolfgang Rauch;Peter S. Mikkelsen;David T. Mccarthy

  • Selected stormwater priority pollutants: a European perspective.

    Eva Eriksson;Anders Baun;Lian Scholes;Anna Ledin

  • Simultaneous removal of As, Cd, Cr, Cu, Ni and Zn from stormwater: experimental comparison of 11 different sorbents.

    Hülya Genc-Fuhrman;Peter Steen Mikkelsen;Anna Ledin

  • Update of regional intensity-duration-frequency curves in Denmark: tendency towards increased storm intensities.

    Henrik Madsen;Karsten Arnbjerg-Nielsen;Peter Steen Mikkelsen

  • Model predictive control of urban drainage systems: A review and perspective towards smart real-time water management

    Nadia Schou Vorndran Lund;Anne Katrine Vinther Falk;Morten Borup;Henrik Madsen

  • Regional estimation of rainfall intensity-duration-frequency curves using generalized least squares regression of partial duration series statistics

    Henrik Madsen;Peter Steen Mikkelsen;Dan Rosbjerg;Poul Harremoës

  • Three Points Approach (3PA) for urban flood risk management: a tool to support climate change adaptation through transdisciplinarity and multifunctionality.

    Chiara Farné Fratini;Govert Daan Geldof;Jeroen Kluck;Peter Steen Mikkelsen

  • Modelling of green roof hydrological performance for urban drainage applications

    Luca Locatelli;Ole Mark;Peter Steen Mikkelsen;Karsten Arnbjerg-Nielsen

  • Artificial neural networks for rapid WWTP performance evaluation: Methodology and case study

    B. Ráduly;K. V. Gernaey;A. G. Capodaglio;P. S. Mikkelsen

  • Pollution of soil and groundwater from infiltration of highly contaminated stormwater - a case study

    P. S. Mikkelsen;M. Häfliger;M. Ochs;P. Jacobsen

  • Hydrologic impact of urbanization with extensive stormwater infiltration

    Luca Locatelli;Ole Mark;Peter Steen Mikkelsen;Karsten Arnbjerg-Nielsen

  • Risk assessment of xenobiotics in stormwater discharged to Harrestrup Å, Denmark

    Eva Eriksson;Anders Baun;Peter Steen Mikkelsen;Anna Ledin

  • Potential future increase in extreme one-hour precipitation events over Europe due to climate change.

    Agnete N. Larsen;Ida Bülow Gregersen;O.B. Christensen;Jens Jørgen Linde

  • Pollution from Urban Stormwater Infiltration

    P. S. Mikkelsen;G. Weyer;C. Berry;Y. Waldent

  • Experimental assessment of soil and groundwater contamination from two old infiltration systems for road run-off in Switzerland

    P.S. Mikkelsen;M. Häfliger;M. Ochs;J.C. Tjell

  • Modelling and monitoring of integrated urban wastewater systems: review on status and perspectives.

    Lorenzo Benedetti;Jeroen Langeveld;Adrien Comeau;Lluís Corominas

  • A new settling velocity model to describe secondary sedimentation

    Elham Ramin;Dorottya Sarolta Wágner;Lars Yde;Philip John Binning

  • Quality control of rain data used for urban runoff systems

    H. K. Jørgensen;S. Rosenørn;Henrik Madsen;Peter Steen Mikkelsen

  • Living and Prototyping Digital Twins for Urban Water Systems: Towards Multi-Purpose Value Creation Using Models and Sensors

    Agnethe Nedergaard Pedersen;Morten Borup;Annette Brink-Kjær;Lasse Engbo Christiansen

Frequent Co-Authors

Henrik Madsen
Henrik Madsen Technical University of Denmark
Karsten Arnbjerg-Nielsen
Karsten Arnbjerg-Nielsen Danish Meteorological Institute
Anders Baun
Anders Baun Technical University of Denmark
Mogens Henze
Mogens Henze Technical University of Denmark
Philip John Binning
Philip John Binning Technical University of Denmark
Peter A. Vanrolleghem
Peter A. Vanrolleghem Université Laval
Dan Rosbjerg
Dan Rosbjerg Technical University of Denmark
Hans-Jørgen Albrechtsen
Hans-Jørgen Albrechtsen Technical University of Denmark
Erica Donner
Erica Donner University of South Australia
Gürkan Sin
Gürkan Sin Technical University of Denmark

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