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Mladen Kezunovic

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 63 1380 1318 569 529 443 14083

Mladen Kezunovic publications per year

The chart shows the history of publications by Mladen Kezunovic between 1979 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Mladen Kezunovic published across 47 years, from 1979 to 2025, averaging 10 papers a year. Output peaked at 31 publications in 2016. 17 of the 468 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 1979 to 2025. Vertical axis: number of publications, 0 to 31. Peak 31 publications in 2016. 1979: 1 publication 1980: 1 publication 1981: 1 publication 1982: 0 publications 1983: 1 publication 1984: 2 publications 1985: 2 publications 1986: 0 publications 1987: 0 publications 1988: 3 publications 1989: 2 publications 1990: 3 publications 1991: 6 publications 1992: 3 publications 1993: 2 publications 1994: 9 publications 1995: 15 publications 1996: 10 publications 1997: 6 publications 1998: 5 publications 1999: 4 publications 2000: 12 publications 2001: 13 publications 2002: 11 publications 2003: 5 publications 2004: 11 publications 2005: 18 publications 2006: 14 publications 2007: 16 publications 2008: 18 publications 2009: 22 publications 2010: 21 publications 2011: 17 publications 2012: 26 publications 2013: 19 publications 2014: 19 publications 2015: 13 publications 2016: 31 publications 2017: 14 publications 2018: 11 publications 2019: 19 publications 2020: 10 publications 2021: 12 publications 2022: 18 publications 2023: 5 publications 2024: 8 publications 2025: 9 publications
1979 2025

468 publications in total across all disciplines

View publications per year as a table
Mladen Kezunovic: publications per year, 1979 to 2025
Year Publications
1979 1
1980 1
1981 1
1982 0
1983 1
1984 2
1985 2
1986 0
1987 0
1988 3
1989 2
1990 3
1991 6
1992 3
1993 2
1994 9
1995 15
1996 10
1997 6
1998 5
1999 4
2000 12
2001 13
2002 11
2003 5
2004 11
2005 18
2006 14
2007 16
2008 18
2009 22
2010 21
2011 17
2012 26
2013 19
2014 19
2015 13
2016 31
2017 14
2018 11
2019 19
2020 10
2021 12
2022 18
2023 5
2024 8
2025 9
Total 468
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Mladen Kezunovic 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 Mladen Kezunovic sits on this spectrum.

No. of scientists
100 200 300 400
Bar chart with 53 bars. Horizontal axis: publications, 34–53 to 1,065+. Vertical axis: number of scientists, 0 to 445. Most scientists, 445, have 174–193 publications. The last bar groups every scientist with 1,065 publications or more. The highlighted bar, 434–453 publications, is where this scientist sits. 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
34–53 publications 1,065+

This scientist: 443 publications — 79th percentile

79% of scientists in this discipline score the same or lower.

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

View publications distribution as a table
Number of Electronics and Electrical Engineering scientists by publication count, Research.com 2026 ranking edition. Based on 6,875 ranked scientists.
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
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
434–453 147 443
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
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Mladen Kezunovic 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 Mladen Kezunovic sits on this spectrum.

No. of scientists
50 100 150 200 250
Bar chart with 82 bars. Horizontal axis: D-Index, 30 to 111+. Vertical axis: number of scientists, 0 to 263. Most scientists, 263, have 32 D-Index. The last bar groups every scientist with 111 D-Index or more. The highlighted bar, 63 D-Index, is where this scientist sits. 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: 63 D-Index — 81st percentile

81% of scientists in this discipline score the same or lower.

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

View D-Index distribution as a table
Number of Electronics and Electrical Engineering scientists by D-index, Research.com 2026 ranking edition. Based on 6,875 ranked scientists.
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
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 63
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
Download as CSV

Research.com Recognitions

  • 1999 - IEEE Fellow For contributions to the development and implementation of systems for automated fault analysis.

Overview

Mladen Kezunovic is affiliated with Texas A&M University in the United States, with a research focus primarily in the field of Engineering. Their work spans several subfields, notably Electrical and Electronic Engineering, Control and Systems Engineering, Safety, Risk, Reliability and Quality, Artificial Intelligence, and Signal Processing.

The main topics addressed in their research include Power System Reliability and Maintenance, Smart Grid Energy Management, Power Systems Fault Detection, Energy Load and Power Forecasting, Time Series Analysis and Forecasting, Electric Vehicles and Infrastructure, and Anomaly Detection Techniques and Applications.

Recent publications by Mladen Kezunovic include:

  • Big data analytics for future electricity grids (2020), published in Electric Power Systems Research
  • Mitigating Transformer Loss of Life and Reducing the Hazard of Failure by the Smart EV Charging (2020), published in IEEE Transactions on Industry Applications
  • Hierarchical Convolutional Neural Networks for Event Classification on PMU Measurements (2021), published in IEEE Transactions on Instrumentation and Measurement
  • Novel Fault Distance Estimation Method for Three-Terminal Transmission Line (2020), published in IEEE Transactions on Power Delivery
  • Fault Detection Utilizing Convolution Neural Network on Timeseries Synchrophasor Data From Phasor Measurement Units (2021), published in IEEE Transactions on Power Systems

Frequent publication venues for Mladen Kezunovic's work include IEEE Access, Proceedings of the Annual Hawaii International Conference on System Sciences, arXiv (Cornell University), Electric Power Systems Research, and IEEE Transactions on Industry Applications.

Notable frequent coauthors collaborating with Kezunovic are Zoran Obradović, Rashid Baembitov, Tatjana Dokic, Milad Soleimani, and Taif Mohamed.

Their career has been recognized with the IEEE Fellow award in 1999 for contributions to the development and implementation of systems for automated fault analysis.

Best Publications

  • Smart Fault Location for Smart Grids

    M Kezunovic

  • Optimized Operational Cost Reduction for an EV Charging Station Integrated With Battery Energy Storage and PV Generation

    Qin Yan;Bei Zhang;Mladen Kezunovic

  • BEVs/PHEVs as Dispersed Energy Storage for V2B Uses in the Smart Grid

    C. Pang;P. Dutta;M. Kezunovic

  • Mathematical models for current, voltage, and coupling capacitor voltage transformers

    D.A. Tziouvaras;P. McLaren;G. Alexander;D. Dawson

  • Synchronized sampling and phasor measurements for relaying and control

    A.G. Phadke;B. Pickett;M. Adamiak;M. Begovic

  • Simplified algorithms for removal of the effect of exponentially decaying DC-offset on the Fourier algorithm

    Yong Guo;M. Kezunovic;Deshu Chen

  • Fault location using the distributed parameter transmission line model

    A. Gopalakrishnan;M. Kezunovic;S.M. McKenna;D.M. Hamai

  • Automated transmission line fault analysis using synchronized sampling at two ends

    M. Kezunovic;B. Perunicic

  • The role of big data in improving power system operation and protection

    Mladen Kezunovic;Le Xie;Santiago Grijalva

  • Implementing Fuzzy Reasoning Petri-Nets for Fault Section Estimation

    Xu Luo;M. Kezunovic

  • Optimal Allocation of PV Generation and Battery Storage for Enhanced Resilience

    Bei Zhang;Payman Dehghanian;Mladen Kezunovic

  • Experimental evaluation of EMTP-based current transformer models for protective relay transient study

    M. Kezunovic;L. Kojovic;A. Abur;C.W. Fromen

  • Transmission Line Boundary Protection Using Wavelet Transform and Neural Network

    Nan Zhang;M. Kezunovic

  • Islanding Detection for Inverter-Based Distributed Generation Using Support Vector Machine Method

    Biljana Matic-Cuka;Mladen Kezunovic

  • Improved Fault Location on Distribution Feeders Based on Matching During-Fault Voltage Sags

    R.A.F. Pereira;L.G.W. da Silva;M. Kezunovic;J.R.S. Mantovani

  • Digital models of coupling capacitor voltage transformers for protective relay transient studies

    M. Kezunovic;L. Kojovic;V. Skendzic;C.W. Fromen

  • Fuzzy ART neural network algorithm for classifying the power system faults

    S. Vasilic;M. Kezunovic

  • Voltage sag data utilization for distribution fault location

    Saeed Lotfifard;Mladen Kezunovic;Mirrasoul J. Mousavi

  • Online Optimal Transmission Line Parameter Estimation for Relaying Applications

    Yuan Liao;M. Kezunovic

  • Detection of Symmetrical Faults by Distance Relays During Power Swings

    S. Lotfifard;J. Faiz;M. Kezunovic

  • Detect and classify faults using neural nets

    M. Kezunovic;I. Rikalo

  • Mathematical Models for Current, Voltage, and Coupling Capacitor Voltage Transformers Working Group C-5 of the Systems Protection Subcommittee of the IEEE Power System Relaying Committee,

    Demetrios A. Tziouvaras;Peter McLaren;George Alexander;Douglas Dawson

Frequent Co-Authors

Payman Dehghanian
Payman Dehghanian George Washington University
Ali Abur
Ali Abur Northeastern University
Jose Roberto Sanches Mantovani
Jose Roberto Sanches Mantovani Sao Paulo State University
Tarlochan S. Sidhu
Tarlochan S. Sidhu University of Ontario Institute of Technology
Vijay Vittal
Vijay Vittal Arizona State University
Zoran Obradovic
Zoran Obradovic Temple University
Thomas J. Overbye
Thomas J. Overbye Texas A&M University
Chanan Singh
Chanan Singh Texas A&M University
Anjan Bose
Anjan Bose Washington State University
Haitham Abu-Rub
Haitham Abu-Rub Hamad bin Khalifa University

External Links

Personal website of Mladen Kezunovic Google Scholar page

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Related Online Degrees & Career Pathways

For students exploring Electronics and Electrical Engineering in the USA, expanding your education through related online degrees can enhance career prospects. Many professionals pursue a bachelor of project management online to develop essential leadership and organizational skills that complement technical expertise in engineering fields.

Balancing education with work commitments is a common challenge. Fortunately, numerous online degree programs for working adults offer flexible scheduling and accelerated options designed to accommodate full-time professionals seeking advancement without sacrificing their current roles.

Another exciting pathway is the instructional design degree online, which equips graduates to create educational resources and training programs—valuable skills for those interested in technical education or corporate training roles within engineering industries.

Additionally, competency based masters degree programs focus on mastering specific skills at your own pace, making them ideal for engineers looking to deepen expertise in specialized areas efficiently. These flexible, skill-focused studies often lead to faster career growth and greater job satisfaction.

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Ashok Kumar Pradhan

Ashok Kumar Pradhan

Indian Institute of Technology Kharagpur

Publications: 27

Chih-Wen Liu

Chih-Wen Liu

National Taiwan University

Publications: 27

Xinzhou Dong

Xinzhou Dong

Tsinghua University

Publications: 23

Majid Sanaye-Pasand

Majid Sanaye-Pasand

University of Tehran

Publications: 21

Anurag K. Srivastava

Anurag K. Srivastava

West Virginia University

Publications: 20

Raj Aggarwal

Raj Aggarwal

University of Bath

Publications: 18

P.K. Dash

P.K. Dash

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Publications: 18

Ehab F. El-Saadany

Ehab F. El-Saadany

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Publications: 18

Peter Crossley

Peter Crossley

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Publications: 17

Carlo Muscas

Carlo Muscas

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Publications: 16

Mario Paolone

Mario Paolone

École Polytechnique Fédérale de Lausanne

Publications: 15

Chul-Hwan Kim

Chul-Hwan Kim

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Publications: 15

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Publications: 15

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