World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
44
Citations
7871
World Ranking
3735
National Ranking
203

Nina F. Thornhill publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Nina F. Thornhill sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 239 publications — 41st percentile

41% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

Nina F. Thornhill D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Nina F. Thornhill sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 44 D-Index — 47th percentile

47% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Research.com Recognitions

  • 2009 - Fellow of the Royal Academy of Engineering (UK)

Overview

Nina F. Thornhill is affiliated with Imperial College London in the United Kingdom, focusing primarily on engineering research. Their work spans several subfields, including Control and Systems Engineering, Mechanical Engineering, Statistics, Probability and Uncertainty, Aerospace Engineering, and Renewable Energy, Sustainability and the Environment.

Their research covers a range of topics, prominently featuring Fault Detection and Control Systems, Machine Fault Diagnosis Techniques, Mineral Processing and Grinding, Advanced Statistical Process Monitoring, Refrigeration and Air Conditioning Technologies, Turbomachinery Performance and Optimization, and Global Energy and Sustainability Research.

Recent publications include:

  • "A survey of models of degradation for control applications," 2020, Annual Reviews in Control
  • "An on-line framework for monitoring nonlinear processes with multiple operating modes," 2020, Journal of Process Control
  • "Adaptive detection and prediction of performance degradation in off-shore turbomachinery," 2020, Applied Energy
  • "Monitoring Statistics and Tuning of Kernel Principal Component Analysis With Radial Basis Function Kernels," 2020, IEEE Access
  • "Anomaly Detection and Mode Identification in Multimode Processes Using the Field Kalman Filter," 2020, IEEE Transactions on Control Systems Technology

Frequent co-authors include Marta Zagórowska, James R. Ottewill, Trond Haugen, Ruomu Tan, and Charlotte Skourup. This collaboration highlights interdisciplinary links especially in control systems and process monitoring.

Their publications have appeared frequently in venues such as the Journal of Process Control, IEEE Access, Computers & Chemical Engineering, Energy, and Annual Reviews in Control.

In recognition of contributions to engineering, they were awarded the title of Fellow of the Royal Academy of Engineering (UK) in 2009.

Best Publications

  • Modelling valve stiction

    M.A.A. Shoukat Choudhury;N.F. Thornhill;S.L. Shah

  • Detection of multiple oscillations in control loops

    N.F Thornhill;B Huang;H Zhang

  • Diagnosis of poor control-loop performance using higher-order statistics

    M. A. A. Shoukat Choudhury;Sirish. L. Shah;Nina. F. Thornhill

  • Finding the Direction of Disturbance Propagation in a Chemical Process Using Transfer Entropy

    M. Bauer;J.W. Cox;M.H. Caveness;J.J. Downs

  • Detection and Diagnosis of Oscillation in Control Loops

    N. F. Thornhill;Tore Hägglund

  • A continuous stirred tank heater simulation model with applications

    Nina F. Thornhill;Sachin C. Patwardhan;Sirish L. Shah

  • Advances and new directions in plant-wide disturbance detection and diagnosis

    Nina F. Thornhill;Alexander Horch

  • Automatic detection and quantification of stiction in control valves

    M.A.A. Shoukat Choudhury;S.L. Shah;N.F. Thornhill;David S. Shook

  • Refinery-wide control loop performance assessment

    N.F. Thornhill;M. Oettinger;P. Fedenczuk

  • A Dynamic Mode Decomposition Framework for Global Power System Oscillation Analysis

    Emilio Barocio;Bikash C. Pal;Nina F. Thornhill;Arturo Roman Messina

  • Coherency identification in power systems through principal component analysis

    K.K. Anaparthi;B. Chaudhuri;N.F. Thornhill;B.C. Pal

  • A practical method for identifying the propagation path of plant-wide disturbances

    Margret Bauer;Nina F. Thornhill

  • Diagnosis of plant-wide oscillation through data-driven analysis and process understanding

    Nina F. Thornhill;John W. Cox;Michael A. Paulonis

  • Diagnosis of Process Nonlinearities and Valve Stiction: Data Driven Approaches

    M.A.A. Schoukat Choudhury;S. L. Shah;Nina F. Thornhill

  • The current state of control loop performance monitoring – A survey of application in industry

    Margret Bauer;Alexander Horch;Lei Xie;Mohieddine Jelali

  • Detection and Diagnosis of Stiction in Control Loops State of the Art and Advanced Methods

    Shoukat Choudhury;Peter He;Alexander Horch;Manabu Kano

  • Finding the source of nonlinearity in a process with plant-wide oscillation

    N.F. Thornhill

  • Comparison of Three Electromechanical Oscillation Damping Estimation Methods

    J. Turunen;J. Thambirajah;M. Larsson;B. C. Pal

  • CAUSE AND EFFECT ANALYSIS IN CHEMICAL PROCESSES UTILIZING XML, PLANT CONNECTIVITY AND QUANTITATIVE PROCESS HISTORY

    Jegatheeswaran Thambirajah;Lamia Benabbas;Margret Bauer;Nina F. Thornhill

  • Practical solutions to multivariate feedback control performance assessment problem: reduced a priori knowledge of interactor matrices

    Biao Huang;Steven X. Ding;Nina Thornhill

  • The impact of compression on data-driven process analyses

    NF Thornhill;Maa Shoukat Choudhury;SL Shah

Frequent Co-Authors

Sirish L. Shah
Sirish L. Shah University of Alberta
Bikash C. Pal
Bikash C. Pal Imperial College London
Anthony J. Kenyon
Anthony J. Kenyon University College London
Biao Huang
Biao Huang University of Alberta
Ricardo Martinez-Botas
Ricardo Martinez-Botas Imperial College London
Mohamed Mohamed Naim
Mohamed Mohamed Naim Cardiff University
Steven X. Ding
Steven X. Ding University of Duisburg-Essen
Efstratios N. Pistikopoulos
Efstratios N. Pistikopoulos Texas A&M University
Meihong Wang
Meihong Wang University of Sheffield
Thomas Parisini
Thomas Parisini University of Trieste

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