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Nebojsa Bacanin

Nebojsa Bacanin

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Computer Science
Serbia
2026

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 62 2961 2875 2 2 395 12069

Nebojsa Bacanin publications per year

The chart shows the history of publications by Nebojsa Bacanin between 2010 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Nebojsa Bacanin published across 16 years, from 2010 to 2025, averaging 33.1 papers a year. Output peaked at 119 publications in 2024. 231 of the 530 publications appeared in the last two years.

No. of publications
25 50 75 100
Bar chart. Horizontal axis: year, 2010 to 2025. Vertical axis: number of publications, 0 to 119. Peak 119 publications in 2024. 2010: 1 publication 2011: 4 publications 2012: 4 publications 2013: 0 publications 2014: 6 publications 2015: 8 publications 2016: 5 publications 2017: 10 publications 2018: 18 publications 2019: 17 publications 2020: 17 publications 2021: 36 publications 2022: 93 publications 2023: 80 publications 2024: 119 publications 2025: 112 publications
2010 2025

530 publications in total across all disciplines

View publications per year as a table
Nebojsa Bacanin: publications per year, 2010 to 2025
Year Publications
2010 1
2011 4
2012 4
2013 0
2014 6
2015 8
2016 5
2017 10
2018 18
2019 17
2020 17
2021 36
2022 93
2023 80
2024 119
2025 112
Total 530
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Nebojsa Bacanin publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Nebojsa Bacanin sits on this spectrum.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 392–401 publications, is where this scientist sits. 32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32–41 publications 991+

This scientist: 395 publications — 87th percentile

87% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420
112–121 497
122–131 544
132–141 555
142–151 609
152–161 559
162–171 534
172–181 556
182–191 583
192–201 519
202–211 508
212–221 490
222–231 437
232–241 423
242–251 408
252–261 377
262–271 301
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238
322–331 206
332–341 209
342–351 208
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128 395
402–411 104
412–421 94
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
Download as CSV

Nebojsa Bacanin D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Nebojsa Bacanin sits on this spectrum.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 62–63 D-Index, is where this scientist sits. 30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30–31 D-Index 131+

This scientist: 62 D-Index — 80th percentile

80% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983
34–35 918
36–37 990
38–39 968
40–41 907
42–43 821
44–45 763
46–47 689
48–49 543
50–51 543
52–53 518
54–55 500
56–57 458
58–59 400
60–61 337
62–63 308 62
64–65 292
66–67 249
68–69 213
70–71 192
72–73 189
74–75 165
76–77 139
78–79 119
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98
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Research.com Recognitions

  • 2026 - Research.com Computer Science in Serbia Leader Award
  • 2025 - Research.com Computer Science in Serbia Leader Award

Overview

Nebojsa Bacanin is affiliated with Singidunum University in Serbia and has contributed extensively to research in computer science and engineering. Their work spans a variety of specialized subfields, including artificial intelligence, information systems, computer networks and communications, electrical and electronic engineering, and computer vision and pattern recognition.

The scientist's research interests focus on several main topics, notably metaheuristic optimization algorithms, energy load and power forecasting, network security and intrusion detection, anomaly detection techniques and applications, machine learning and extreme learning machines, IoT and edge/fog computing, as well as spam and phishing detection.

Nebojsa Bacanin has authored and co-authored multiple scientific papers, including:

  • Performance of a Novel Chaotic Firefly Algorithm with Enhanced Exploration for Tackling Global Optimization Problems: Application for Dropout Regularization (2021, Mathematics)
  • Optimizing Convolutional Neural Network Hyperparameters by Enhanced Swarm Intelligence Metaheuristics (2020, Algorithms)

Frequently collaborating with other researchers, their most common co-authors include Miodrag Živković, Luka Jovanović, Miloš Antonijević, Ivana Strumberger, and K. Venkatachalam.

Their publications have appeared predominantly in respected venues such as:

  • Scientific Reports
  • IEEE Access
  • PeerJ Computer Science
  • Mathematics
  • Applied Soft Computing

In addition to their own research, they have connections to impactful projects covering the prediction of COVID-19 cases using hybrid machine learning methods, COVID-19 diagnostics based on imaging, and novel algorithms for optimization and safety in emergency response systems. Some notable publications related to these topics, authored by associated researchers, include:

  • COVID-19 cases prediction by using hybrid machine learning and beetle antennae search approach (2020, Sustainable Cities and Society)
  • From Sensors to Safety: Internet of Emergency Services (IoES) for Emergency Response and Disaster Management (2023, Journal of Sensor and Actuator Networks)
  • Hybrid CNN and XGBoost Model Tuned by Modified Arithmetic Optimization Algorithm for COVID-19 Early Diagnostics from X-ray Images (2022, Electronics)

Nebojsa Bacanin's body of work reflects a focused engagement with optimization algorithms, artificial intelligence applications, and the integration of machine learning techniques into practical and theoretical challenges within engineering and computer science disciplines.

Best Publications

  • COVID-19 cases prediction by using hybrid machine learning and beetle antennae search approach

    Miodrag Zivkovic;Nebojsa Bacanin;K. Venkatachalam;Anand Nayyar

  • From Sensors to Safety: Internet of Emergency Services (IoES) for Emergency Response and Disaster Management

    Unknown

  • Modified firefly algorithm for workflow scheduling in cloud-edge environment

    Unknown

  • Performance of a Novel Chaotic Firefly Algorithm with Enhanced Exploration for Tackling Global Optimization Problems: Application for Dropout Regularization

    Nebojsa Bacanin;Ruxandra Stoean;Miodrag Zivkovic;Aleksandar Petrovic

  • A Comprehensive Survey on the Internet of Things with the Industrial Marketplace

    Unknown

  • Artificial Bee Colony Algorithm Hybridized with Firefly Algorithm for Cardinality Constrained Mean-Variance Portfolio Selection Problem

    Milan Tubaand;Nebojsa Bacanin

  • Firefly algorithm for cardinality constrained mean-variance portfolio optimization problem with entropy diversity constraint.

    Nebojsa Bacanin;Milan Tuba

  • An Alternative Ranking Order Method Accounting for Two-Step Normalization (AROMAN)—A Case Study of the Electric Vehicle Selection Problem

    Unknown

  • Artificial Bee Colony (ABC) Algorithm for Constrained Optimization Improved with Genetic Operators

    Nebojsa Bacanin;Milan Tuba

  • Hybridized sine cosine algorithm with convolutional neural networks dropout regularization application

    Unknown

  • On the Benefits of Using Metaheuristics in the Hyperparameter Tuning of Deep Learning Models for Energy Load Forecasting

    Unknown

  • Performance of Elephant Herding Optimization and Tree Growth Algorithm Adapted for Node Localization in Wireless Sensor Networks.

    Ivana Strumberger;Miroslav Minovic;Milan Tuba;Nebojsa Bacanin

  • Wireless Sensor Networks Life Time Optimization Based on the Improved Firefly Algorithm.

    Miodrag Zivkovic;Nebojsa Bacanin;Eva Tuba;Ivana Strumberger

  • Task Scheduling in Cloud Computing Environment by Grey Wolf Optimizer

    Nebojsa Bacanin;Timea Bezdan;Eva Tuba;Ivana Strumberger

  • Hybrid Fruit-Fly Optimization Algorithm with K-Means for Text Document Clustering

    Timea Bezdan;Catalin Stoean;Ahmed Al Naamany;Nebojsa Bacanin

  • Multi-objective task scheduling in cloud computing environment by hybridized bat algorithm

    Timea Bezdan;Miodrag Zivkovic;Nebojsa Bacanin;Ivana Strumberger

  • Enhanced Grey Wolf Algorithm for Energy Efficient Wireless Sensor Networks

    Miodrag Zivkovic;Nebojsa Bacanin;Tamara Zivkovic;Ivana Strumberger

  • Resource Scheduling in Cloud Computing Based on a Hybridized Whale Optimization Algorithm

    Ivana Strumberger;Nebojsa Bacanin;Milan Tuba;Eva Tuba

  • Improved seeker optimization algorithm hybridized with firefly algorithm for constrained optimization problems

    Milan Tuba;Nebojsa Bacanin

  • Hybrid Genetic Algorithm and Machine Learning Method for COVID-19 Cases Prediction

    Miodrag Zivkovic;Venkatachalam K;Nebojsa Bacanin;Aleksandar Djordjevic

  • Glioma Brain Tumor Grade Classification from MRI Using Convolutional Neural Networks Designed by Modified FA

    Timea Bezdan;Miodrag Zivkovic;Eva Tuba;Ivana Strumberger

  • Designing Convolutional Neural Network Architecture by the Firefly Algorithm

    Ivana Strumberger;Eva Tuba;Nebojsa Bacanin;Miodrag Zivkovic

  • Fireworks algorithm applied to constrained portfolio optimization problem

    Nebojsa Bacanin;Milan Tuba

  • Chaotic Harris Hawks Optimization with Quasi-Reflection-Based Learning: An Application to Enhance CNN Design

    Jameer Basha;Nebojsa Bacanin;Nikola Vukobrat;Miodrag Zivkovic

  • Multi-objective Task Scheduling in Cloud Computing Environment by Hybridized Bat Algorithm

    Timea Bezdan;Miodrag Zivkovic;Eva Tuba;Ivana Strumberger

Frequent Co-Authors

Milan Tuba
Milan Tuba Singidunum University
Ivana Strumberger
Ivana Strumberger Singidunum University
Eva Tuba
Eva Tuba Singidunum University
Timea Bezdan
Timea Bezdan Singidunum University
Tarik A. Rashid
Tarik A. Rashid University of Kurdistan Hewler
Rui Dinis
Rui Dinis Universidade Nova de Lisboa
Fadi Al-Turjman
Fadi Al-Turjman Near East University
Siuly Siuly
Siuly Siuly Victoria University
Anand Nayyar
Anand Nayyar Duy Tan University

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