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D-Index & Metrics

Discipline name D-Index World Ranking National Ranking Publications Citations
Engineering and Technology 55 3059 913 121 9510

S.M. Shahidehpour publications per year

The chart shows the history of publications by S.M. Shahidehpour between 1986 and 2010, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. S.M. Shahidehpour published across 25 years, from 1986 to 2010, averaging 4.8 papers a year. Output peaked at 15 publications in 1997. 2 of the 121 publications appeared in the last two years.

No. of publications
5 10 15
Bar chart. Horizontal axis: year, 1986 to 2010. Vertical axis: number of publications, 0 to 15. Peak 15 publications in 1997. 1986: 2 publications 1987: 3 publications 1988: 4 publications 1989: 9 publications 1990: 9 publications 1991: 9 publications 1992: 9 publications 1993: 14 publications 1994: 3 publications 1995: 6 publications 1996: 4 publications 1997: 15 publications 1998: 5 publications 1999: 8 publications 2000: 4 publications 2001: 1 publication 2002: 1 publication 2003: 6 publications 2004: 6 publications 2005: 0 publications 2006: 0 publications 2007: 1 publication 2008: 0 publications 2009: 1 publication 2010: 1 publication
1986 2010

121 publications in total across all disciplines

View publications per year as a table
S.M. Shahidehpour: publications per year, 1986 to 2010
Year Publications
1986 2
1987 3
1988 4
1989 9
1990 9
1991 9
1992 9
1993 14
1994 3
1995 6
1996 4
1997 15
1998 5
1999 8
2000 4
2001 1
2002 1
2003 6
2004 6
2005 0
2006 0
2007 1
2008 0
2009 1
2010 1
Total 121
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S.M. Shahidehpour 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 S.M. Shahidehpour sits on this spectrum.

No. of scientists
100 200 300 400
Bar chart with 78 bars. Horizontal axis: publications, 38–47 to 804+. Vertical axis: number of scientists, 0 to 457. Most scientists, 457, have 148–157 publications. The last bar groups every scientist with 804 publications or more. The highlighted bar, 118–127 publications, is where this scientist sits. 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
38–47 publications 804+

This scientist: 121 publications — 16th percentile

16% of scientists in this discipline score the same or lower.

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

View publications distribution as a table
Number of Engineering and Technology scientists by publication count, Research.com 2026 ranking edition. Based on 9,796 ranked scientists.
Publications Scientists This scientist
38–47 20
48–57 35
58–67 96
68–77 135
78–87 190
88–97 259
98–107 283
108–117 369
118–127 341 121
128–137 386
138–147 372
148–157 457
158–167 415
168–177 407
178–187 421
188–197 378
198–207 403
208–217 317
218–227 346
228–237 321
238–247 260
248–257 280
258–267 240
268–277 214
278–287 242
288–297 203
298–307 166
308–317 154
318–327 175
328–337 159
338–347 99
348–357 131
358–367 106
368–377 118
378–387 97
388–397 108
398–407 82
408–417 71
418–427 64
428–437 55
438–447 54
448–457 60
458–467 47
468–477 40
478–487 30
488–497 29
498–507 38
508–517 40
518–527 32
528–537 23
538–547 28
548–557 23
558–567 19
568–577 16
578–587 17
588–597 18
598–607 22
608–617 15
618–627 9
628–637 11
638–647 21
648–657 12
658–667 9
668–677 11
678–687 9
688–697 6
698–707 14
708–717 7
718–727 8
728–737 10
738–747 9
748–757 5
758–767 5
768–777 11
778–787 7
788–797 2
798–803 4
804+ 100
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S.M. Shahidehpour 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 S.M. Shahidehpour sits on this spectrum.

No. of scientists
100 200 300 400
Bar chart with 78 bars. Horizontal axis: D-Index, 30 to 107+. Vertical axis: number of scientists, 0 to 426. Most scientists, 426, have 42 D-Index. The last bar groups every scientist with 107 D-Index or more. The highlighted bar, 55 D-Index, is where this scientist sits. 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: 55 D-Index — 70th percentile

70% of scientists in this discipline score the same or lower.

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

View D-Index distribution as a table
Number of Engineering and Technology scientists by D-index, Research.com 2026 ranking edition. Based on 9,796 ranked scientists.
D-Index Scientists This scientist
30 59
31 114
32 129
33 189
34 200
35 262
36 311
37 312
38 350
39 385
40 348
41 362
42 426
43 380
44 310
45 341
46 301
47 306
48 271
49 246
50 210
51 253
52 213
53 221
54 195
55 186 55
56 170
57 167
58 166
59 144
60 152
61 141
62 138
63 131
64 118
65 114
66 119
67 95
68 87
69 77
70 89
71 69
72 54
73 46
74 55
75 54
76 49
77 53
78 46
79 28
80 39
81 36
82 24
83 26
84 36
85 18
86 25
87 19
88 26
89 27
90 23
91 15
92 12
93 9
94 15
95 10
96 13
97 13
98 9
99 7
100 7
101 8
102 7
103 7
104 9
105 6
106 9
107+ 99
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Overview

What is he best known for?

The fields of study he is best known for:

  • Mathematical optimization
  • Electrical engineering
  • Artificial intelligence

S.M. Shahidehpour mainly investigates Mathematical optimization, Power system simulation, Electric power system, Economic dispatch and Dynamic programming. Mathematical optimization and Control engineering are frequently intertwined in his study. S.M. Shahidehpour carries out multidisciplinary research, doing studies in Power system simulation and Schedule.

The various areas that S.M. Shahidehpour examines in his Electric power system study include Electricity pricing, Electric utility, Electricity generation, Outcome and Industrial organization. His research integrates issues of Linear programming, Optimization problem, Lagrangian relaxation and Control theory in his study of Economic dispatch. His Dynamic programming research includes elements of Dynamic dispatch, Computation and Simulation.

His most cited work include:

  • Short-term generation scheduling with transmission and environmental constraints using an augmented Lagrangian relaxation (458 citations)
  • Effects of ramp-rate limits on unit commitment and economic dispatch (338 citations)
  • Transaction analysis in deregulated power systems using game theory (284 citations)

What are the main themes of his work throughout his whole career to date?

His main research concerns Electric power system, Mathematical optimization, Power system simulation, Control theory and Electrical network. His work deals with themes such as Reliability engineering, Control engineering, Electricity generation, Electronic engineering and Electrical engineering, which intersect with Electric power system. S.M. Shahidehpour has included themes like AC power and Economic dispatch in his Mathematical optimization study.

His study in Economic dispatch is interdisciplinary in nature, drawing from both Optimization problem, Constrained optimization and Operations research. The concepts of his Power system simulation study are interwoven with issues in Decomposition method, Dynamic programming and Expert system. His Control theory study deals with Electric power transmission intersecting with Maintenance engineering and Control system.

He most often published in these fields:

  • Electric power system (60.00%)
  • Mathematical optimization (49.52%)
  • Power system simulation (26.67%)

What were the highlights of his more recent work (between 1999-2007)?

  • Mathematical optimization (49.52%)
  • Power system simulation (26.67%)
  • Bidding (3.81%)

In recent papers he was focusing on the following fields of study:

S.M. Shahidehpour spends much of his time researching Mathematical optimization, Power system simulation, Bidding, Transmission congestion and Electricity. His work on Linear programming as part of general Mathematical optimization research is frequently linked to Schedule, thereby connecting diverse disciplines of science. The Bidding study combines topics in areas such as Lagrange multiplier, Lagrangian relaxation and Profit.

S.M. Shahidehpour has researched Transmission congestion in several fields, including Operations research, Transmission rights and Transmission system. His research in Transmission security tackles topics such as Voltage which are related to areas like Electric power system. S.M. Shahidehpour combines subjects such as Relay, Transmission line, Electronic engineering and Reduction with his study of Electric power system.

Between 1999 and 2007, his most popular works were:

  • Adaptive short-term electricity price forecasting using artificial neural networks in the restructured power markets (172 citations)
  • Unit commitment using a hybrid model between Lagrangian relaxation and genetic algorithm in competitive electricity markets (69 citations)
  • A new approach for GenCos profit based unit commitment in day-ahead competitive electricity markets considering reserve uncertainty (68 citations)

In his most recent research, the most cited papers focused on:

  • Electrical engineering
  • Mathematical optimization
  • Artificial intelligence

His primary scientific interests are in Mathematical optimization, Lagrangian relaxation, Bidding, Power system simulation and Electricity. Much of his study explores Mathematical optimization relationship to Real-time computing. S.M. Shahidehpour has included themes like Profit and Evolutionary programming in his Lagrangian relaxation study.

His Bidding research includes elements of Genetic algorithm and Lagrange multiplier.

Best Publications

  • Short-term generation scheduling with transmission and environmental constraints using an augmented Lagrangian relaxation

    S.J. Wang;S.M. Shahidehpour;D.S. Kirschen;S. Mokhtari

  • Effects of ramp-rate limits on unit commitment and economic dispatch

    C. Wang;S.M. Shahidehpour

  • Transaction analysis in deregulated power systems using game theory

    R.W. Ferrero;S.M. Shahidehpour;V.C. Ramesh

  • Linear reactive power optimization in a large power network using the decomposition approach

    N. Deeb;S.M. Shahidehpour

  • An intelligent dynamic programming for unit commitment application

    Z. Ouyang;S.M. Shahidehpour

  • State estimation for electric power distribution systems in quasi real-time conditions

    I. Roytelman;S.M. Shahidehpour

  • Application of games with incomplete information for pricing electricity in deregulated power pools

    R.W. Ferrero;J.F. Rivera;S.M. Shahidehpour

  • Adaptive short-term electricity price forecasting using artificial neural networks in the restructured power markets

    H.Y. Yamin;S.M. Shahidehpour;Z. Li

  • Unit commitment with transmission security and voltage constraints

    H. Ma;S.M. Shahidehpour

  • Integrated generation and transmission maintenance scheduling with network constraints

    M.K.C. Marwali;S.M. Shahidehpour

  • Ramp-rate limits in unit commitment and economic dispatch incorporating rotor fatigue effect

    C. Wang;S.M. Shahidehpour

  • A dynamic programming two-stage algorithm for long-term hydrothermal scheduling of multireservoir systems

    R.W. Ferrero;J.F. Rivera;S.M. Shahidehpour

  • A fuzzy-based optimal reactive power control

    K.H. Abdul-Rahman;S.M. Shahidehpour

  • Transmission-constrained unit commitment based on Benders decomposition

    Haili Ma;S.M. Shahidehpour

  • An Efficient Technique for Reactive Power Dispatch Using a Revised Linear Programming Approach

    N.I. Deeb;S.M. Shahidehpour

  • Transmission analysis by Nash game method

    X. Bai;S.M. Shahidehpour;V.C. Ramesh;Erkeng Yu

  • Optimal generation scheduling with ramping costs

    C. Wang;S.M. Shahidehpour

  • Hydro-thermal, scheduling by tabu search and decomposition method

    Xaiomin Bai;S.M. Shahidehpour

  • Long-term transmission and generation maintenance scheduling with network, fuel and emission constraints

    M.K.C. Marwali;S.M. Shahidehpour

  • A heuristic short-term unit commitment

    S.K. Tong;S.M. Shahidehpour;Z. Ouyang

Frequent Co-Authors

Daniel S. Kirschen
Daniel S. Kirschen University of Washington
Chanan Singh
Chanan Singh Texas A&M University
Zuyi Li
Zuyi Li Zhejiang University

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