| Discipline name | D-Index | World Ranking | Current World Ranking | National Ranking | Current National Ranking | Publications | Citations |
|---|---|---|---|---|---|---|---|
| Electronics and Electrical Engineering | 49 | 2884 | 2767 | 93 | 91 | 211 | 14610 |
The chart shows the history of publications by Peter J. Gawthrop between 1975 and 2021, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Peter J. Gawthrop published across 47 years, from 1975 to 2021, averaging 4.8 papers a year. Output peaked at 13 publications in 1992. 15 of the 227 publications appeared in the last two years.
227 publications in total across all disciplines
| Year | Publications |
|---|---|
| 1975 | 4 |
| 1976 | 0 |
| 1977 | 1 |
| 1978 | 0 |
| 1979 | 1 |
| 1980 | 5 |
| 1981 | 1 |
| 1982 | 3 |
| 1983 | 1 |
| 1984 | 5 |
| 1985 | 3 |
| 1986 | 2 |
| 1987 | 4 |
| 1988 | 4 |
| 1989 | 3 |
| 1990 | 11 |
| 1991 | 10 |
| 1992 | 13 |
| 1993 | 1 |
| 1994 | 1 |
| 1995 | 6 |
| 1996 | 7 |
| 1997 | 4 |
| 1998 | 4 |
| 1999 | 11 |
| 2000 | 7 |
| 2001 | 1 |
| 2002 | 4 |
| 2003 | 3 |
| 2004 | 6 |
| 2005 | 8 |
| 2006 | 9 |
| 2007 | 4 |
| 2008 | 7 |
| 2009 | 10 |
| 2010 | 4 |
| 2011 | 6 |
| 2012 | 6 |
| 2013 | 5 |
| 2014 | 4 |
| 2015 | 6 |
| 2016 | 2 |
| 2017 | 8 |
| 2018 | 4 |
| 2019 | 3 |
| 2020 | 9 |
| 2021 | 6 |
| Total | 227 |
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 Peter J. Gawthrop sits on this spectrum.
This scientist: 211 publications — 33rd percentile
33% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 1,065 publications or more.
| Publications | Scientists | This scientist |
|---|---|---|
| 34–53 | 24 | |
| 54–73 | 52 | |
| 74–93 | 114 | |
| 94–113 | 203 | |
| 114–133 | 269 | |
| 134–153 | 355 | |
| 154–173 | 403 | |
| 174–193 | 445 | |
| 194–213 | 430 | 211 |
| 214–233 | 431 | |
| 234–253 | 399 | |
| 254–273 | 366 | |
| 274–293 | 335 | |
| 294–313 | 300 | |
| 314–333 | 276 | |
| 334–353 | 250 | |
| 354–373 | 214 | |
| 374–393 | 187 | |
| 394–413 | 152 | |
| 414–433 | 169 | |
| 434–453 | 147 | |
| 454–473 | 111 | |
| 474–493 | 117 | |
| 494–513 | 103 | |
| 514–533 | 99 | |
| 534–553 | 92 | |
| 554–573 | 75 | |
| 574–593 | 58 | |
| 594–613 | 69 | |
| 614–633 | 50 | |
| 634–653 | 62 | |
| 654–673 | 54 | |
| 674–693 | 44 | |
| 694–713 | 37 | |
| 714–733 | 28 | |
| 734–753 | 26 | |
| 754–773 | 26 | |
| 774–793 | 19 | |
| 794–813 | 23 | |
| 814–833 | 20 | |
| 834–853 | 16 | |
| 854–873 | 20 | |
| 874–893 | 11 | |
| 894–913 | 11 | |
| 914–933 | 16 | |
| 934–953 | 13 | |
| 954–973 | 10 | |
| 974–993 | 11 | |
| 994–1,013 | 9 | |
| 1,014–1,033 | 9 | |
| 1,034–1,053 | 10 | |
| 1,054–1,064 | 6 | |
| 1,065+ | 99 |
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 Peter J. Gawthrop sits on this spectrum.
This scientist: 49 D-Index — 58th percentile
58% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 111 D-Index or more.
| D-Index | Scientists | This scientist |
|---|---|---|
| 30 | 178 | |
| 31 | 257 | |
| 32 | 263 | |
| 33 | 262 | |
| 34 | 244 | |
| 35 | 236 | |
| 36 | 211 | |
| 37 | 220 | |
| 38 | 214 | |
| 39 | 214 | |
| 40 | 205 | |
| 41 | 187 | |
| 42 | 194 | |
| 43 | 201 | |
| 44 | 155 | |
| 45 | 189 | |
| 46 | 148 | |
| 47 | 160 | |
| 48 | 134 | |
| 49 | 130 | 49 |
| 50 | 141 | |
| 51 | 156 | |
| 52 | 108 | |
| 53 | 130 | |
| 54 | 112 | |
| 55 | 97 | |
| 56 | 111 | |
| 57 | 102 | |
| 58 | 108 | |
| 59 | 120 | |
| 60 | 103 | |
| 61 | 93 | |
| 62 | 92 | |
| 63 | 74 | |
| 64 | 77 | |
| 65 | 73 | |
| 66 | 64 | |
| 67 | 69 | |
| 68 | 60 | |
| 69 | 39 | |
| 70 | 57 | |
| 71 | 59 | |
| 72 | 46 | |
| 73 | 49 | |
| 74 | 38 | |
| 75 | 35 | |
| 76 | 32 | |
| 77 | 35 | |
| 78 | 31 | |
| 79 | 22 | |
| 80 | 34 | |
| 81 | 31 | |
| 82 | 34 | |
| 83 | 23 | |
| 84 | 18 | |
| 85 | 30 | |
| 86 | 19 | |
| 87 | 19 | |
| 88 | 20 | |
| 89 | 8 | |
| 90 | 17 | |
| 91 | 7 | |
| 92 | 14 | |
| 93 | 9 | |
| 94 | 15 | |
| 95 | 10 | |
| 96 | 12 | |
| 97 | 10 | |
| 98 | 10 | |
| 99 | 12 | |
| 100 | 16 | |
| 101 | 5 | |
| 102 | 7 | |
| 103 | 7 | |
| 104 | 8 | |
| 105 | 9 | |
| 106 | 13 | |
| 107 | 4 | |
| 108 | 5 | |
| 109 | 10 | |
| 110 | 8 | |
| 111+ | 96 |
His primary scientific interests are in Control theory, Control engineering, Nonlinear system, Control theory and Model predictive control. Self-tuning, Adaptive control, Intermittent control, Inverted pendulum and Compensation are the subjects of his Control theory studies. Peter J. Gawthrop combines subjects such as Control system and Basis function with his study of Control engineering.
The Nonlinear system study which covers Linear system that intersects with Observer, Torque, State space and Multivariable calculus. As a member of one scientific family, Peter J. Gawthrop mostly works in the field of Control theory, focusing on Stability and, on occasion, Range and Automatic control. Peter J. Gawthrop interconnects Nonlinear control and Optimal control in the investigation of issues within Model predictive control.
Peter J. Gawthrop mainly focuses on Control theory, Control engineering, Bond graph, Model predictive control and Control theory. His Control theory study is mostly concerned with Nonlinear system, Intermittent control, Control system, Adaptive control and Self-tuning. His Nonlinear system study combines topics from a wide range of disciplines, such as Linear system and Mathematical optimization.
The Adaptive control study combines topics in areas such as Weighting and Robust control. His Control engineering research is multidisciplinary, incorporating elements of Control, Process control and Identification. His Model predictive control research integrates issues from Full state feedback, Mechanical system, Quadratic programming and Optimal control.
His main research concerns Bond graph, Energy based, Biological system, Systems biology and Mathematical model. His research integrates issues of Statistical physics, Living systems and Transduction in his study of Bond graph. His work in Energy based covers topics such as Feedback control which are related to areas like Control system, Transfer function, Control engineering, Energy feedback and Class.
His study in Control system is interdisciplinary in nature, drawing from both Feedback loop and Linear control. Energy feedback is often connected to Control theory in his work. His work carried out in the field of Systems biology brings together such families of science as Structure, Modularity and Correctness.
His primary areas of study are Bond graph, Energy based, Biological system, Systems biology and Electron transport chain. His studies in Bond graph integrate themes in fields like Range and Robustness. His research on Energy based frequently connects to adjacent areas such as Transduction.
His Biophysics research extends to the thematically linked field of Systems biology. Peter J. Gawthrop combines Electron transport chain and Chemiosmosis in his studies. His Mathematical model research incorporates elements of Scale, Conservation law, Charge conservation, Physical system and Statistical physics.
K. J. Hunt;D. Sbarbaro;R. Żbikowski;P. J. Gawthrop
Wen-Hua Chen;D.J. Ballance;P.J. Gawthrop;J. O'Reilly
D.W. Clarke;P.J. Gawthrop
D.W. Clarke;P.J. Gawthrop
Wen-Hua Chen;Donald J. Ballance;Peter J Gawthrop
Peter Gawthrop;Lorcan Smith
P.J. Gawthrop;G.P. Bevan
Ian D. Loram;Henrik Gollee;Martin Lakie;Peter J. Gawthrop
Peter Gawthrop;Ian Loram;Martin Lakie;Henrik Gollee
H. Demircioğlu;P. J. Gawthrop
P. Gawthrop
Wen-Hua Chen;Donald J. Ballance;Peter J. Gawthrop;Jenny J. Gribble
P.J. Gawthrop
P. J. Gawthrop
D. W. Clarke;P. J. Gawthrop
Ian David Loram;Peter Gawthrop;Martin Lakie
P.J. Gawthrop;M.T. Nihtilä
T.A. Johansen;K.J. Hunt;P.J. Gawthrop;H. Fritz
Peter J. Gawthrop;Liuping Wang
P.J. Gawthrop;H. Demircioğlu
P.J. Gawthrop
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