World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
40
Citations
7490
World Ranking
9245
National Ranking
27

Ana L. C. Bazzan 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 Ana L. C. Bazzan sits on this spectrum.

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 publications 991+

This scientist: 284 publications — 70th percentile

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

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

Ana L. C. Bazzan 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 Ana L. C. Bazzan sits on this spectrum.

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 D-Index 131+

This scientist: 40 D-Index — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Overview

Ana L. C. Bazzan is affiliated with the Federal University of Rio Grande do Sul in Brazil and specializes in research across multiple fields related to engineering and social sciences. Their work spans various subfields, focusing notably on control and systems engineering, transportation, building and construction, automotive engineering, and artificial intelligence.

Their research topics include:

  • Traffic control and management
  • Transportation Planning and Optimization
  • Traffic Prediction and Management Techniques
  • Transportation and Mobility Innovations
  • Reinforcement Learning in Robotics
  • Autonomous Vehicle Technology and Safety
  • Simulation Techniques and Applications

Some of Ana L. C. Bazzan's recent papers are:

  • Reinforcement learning in urban network traffic signal control: A systematic literature review, 2022, Expert Systems with Applications
  • Hierarchical traffic signal optimization using reinforcement learning and traffic prediction with long-short term memory, 2021, Expert Systems with Applications
  • Using Reinforcement Learning to Control Traffic Signals in a Real-World Scenario: An Approach Based on Linear Function Approximation, 2021, IEEE Transactions on Intelligent Transportation Systems
  • A comparative evaluation of aggregation methods for machine learning over vertically partitioned data, 2020, Expert Systems with Applications
  • Quantitatively assessing the benefits of model-driven development in agent-based modeling and simulation, 2020, Simulation Modelling Practice and Theory

The scholar frequently publishes in several venues, including:

  • arXiv (Cornell University)
  • AI Communications
  • Expert Systems with Applications
  • Computer Science and Information Systems
  • IEEE Transactions on Intelligent Transportation Systems

Ana L. C. Bazzan often collaborates with the following researchers:

  • Lucas N. Alegre
  • Monireh Abdoos
  • Bruno C. da Silva
  • Anderson Rocha Tavares

Best Publications

  • A review on agent-based technology for traffic and transportation

    Ana L. C. Bazzan;Franziska Klügl

  • A Distributed Approach for Coordination of Traffic Signal Agents

    Ana L. Bazzan

  • Balancing Training Data for Automated Annotation of Keywords: a Case Study.

    Gustavo E. A. P. A. Batista;Ana L. C. Bazzan;Maria Carolina Monard

  • Opportunities for multiagent systems and multiagent reinforcement learning in traffic control

    Ana L. Bazzan

  • Optimal Electric Vehicle Fast Charging Station Placement Based on Game Theoretical Framework

    Yanhai Xiong;Jiarui Gan;Bo An;Chunyan Miao

  • Traffic light control in non-stationary environments based on multi agent Q-learning

    Monireh Abdoos;Nasser Mozayani;Ana L. C. Bazzan

  • Decision dynamics in a traffic scenario

    Joachim Wahle;Ana Lúcia C Bazzan;Franziska Klügl;Michael Schreckenberg

  • The impact of real-time information in a two-route scenario using agent-based simulation

    Joachim Wahle;Ana Lúcia C Bazzan;Franziska Klügl;Michael Schreckenberg

  • Dealing with non-stationary environments using context detection

    Bruno C. da Silva;Eduardo W. Basso;Ana L. C. Bazzan;Paulo M. Engel

  • Holonic multi-agent system for traffic signals control

    Monireh Abdoos;Nasser Mozayani;Ana L. C. Bazzan

  • Agent-Based Modeling and Simulation

    Franziska Klügl;Ana Lucia Bazzan

  • Using BDI agents to improve driver modelling in a commuter scenario

    Rosaldo J.F Rossetti;Rafael H Bordini;Ana L.C Bazzan;Sergio Bampi

  • Agents in Traffic Modelling - From Reactive to Social Behaviour

    Ana L. C. Bazzan;Joachim Wahle;Franziska Klügl

  • AgentSpeak(XL): efficient intention selection in BDI agents via decision-theoretic task scheduling

    Rafael H. Bordini;Ana L. C. Bazzan;Rafael de O. Jannone;Daniel M. Basso

  • Learning in groups of traffic signals

    Ana L. C. Bazzan;Denise de Oliveira;Bruno C. da Silva

  • Solving task allocation problem in multi Unmanned Aerial Vehicles systems using Swarm intelligence

    Janaína Schwarzrock;Iulisloi Zacarias;Ana L.C. Bazzan;Ricardo Queiroz de Araujo Fernandes

  • Evaluating the performance of DCOP algorithms in a real world, dynamic problem

    Robert Junges;Ana L. C. Bazzan

  • A reinforcement learning-based multi-agent framework applied for solving routing and scheduling problems

    Maria Amélia Lopes Silva;Sergio Ricardo de Souza;Marcone Jamilson Freitas Souza;Ana Lucia Cetertich Bazzan

  • Introduction to Intelligent Systems in Traffic and Transportation

    Ana L.C. Bazzan;Franziska Klgl

  • Diagnosis as an integral part of multi-agent adaptability

    B. Horling;V. Lesser;R. Vincent;A. Bazzan

  • Proceedings of the 2014 international conference on Autonomous agents and multi-agent systems

    Ana Bazzan;Michael Huhns;Alessio Lomuscio;Paul Scerri

  • Efficient Intention Selection in BDI Agents via Decision-Theoretic Task Scheduling

    Rafael H. Bordini;Ana L. C. Bazzan;Rafael de O. Jannone;Daniel M. Basso

Frequent Co-Authors

Rafael H. Bordini
Rafael H. Bordini Pontifical Catholic University of Rio Grande do Sul
Victor Lesser
Victor Lesser University of Massachusetts Amherst
Francesco Ricci
Francesco Ricci Free University of Bozen-Bolzano
Sascha Ossowski
Sascha Ossowski King Juan Carlos University
Kai Nagel
Kai Nagel Technical University of Berlin
Philip S. Yu
Philip S. Yu University of Illinois at Chicago
Longbing Cao
Longbing Cao University of Technology Sydney
Michael Schreckenberg
Michael Schreckenberg University of Duisburg-Essen
Bo An
Bo An Nanyang Technological University
Rogério Margis
Rogério Margis Federal University of Rio Grande do Sul

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