World's Best Scientists 2026 revealed!
Roberto Battiti

Roberto Battiti

D-Index & Metrics

Computer Science

D-Index
40
Citations
14062
World Ranking
9041
National Ranking
254

Roberto Battiti 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 Roberto Battiti 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: 167 publications — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Roberto Battiti 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 Roberto Battiti 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

Roberto Battiti is affiliated with the University of Trento in Italy and has contributed to research primarily in computer science, business management, and decision sciences. Their work covers various subfields, including management science and operations research, computational theory and mathematics, marketing, computer networks and communications, and artificial intelligence.

The scientist's research addresses a diverse range of topics, notably auction theory and applications, consumer market behavior and pricing, rough sets and fuzzy logic, the wine industry and tourism, transportation planning and optimization, smart parking systems research, and supply chain and inventory management.

Roberto Battiti has published several papers in notable venues. Selected papers include:

  • "RoomTetris in room committing: why the role of minimum-length-of-stay requirements should be revisited" (2021), published in the International Journal of Contemporary Hospitality Management
  • "RoomTetris: an optimal procedure for committing rooms to reservations in hotels" (2020), published in the Journal of Hospitality and Tourism Technology
  • "Pragmatic Estimation of the Elasticity of Demand in Hospitality From Noisy Reservations" (2023), published in Transactions on Machine Learning and Artificial Intelligence

Other notable papers co-authored include "Learning MAX-SAT Models from Examples Using Genetic Algorithms and Knowledge Compilation" (2022) in the Leibniz-Zentrum für Informatik (Schloss Dagstuhl) and "Learning Modulo Theories for constructive preference elicitation" (2021) in Artificial Intelligence.

Frequent coauthors of Roberto Battiti include Filippo Battiti, Mauro Brunato, Paolo Campigotto, Andrea Passerini, and Stefano Teso. Their collaborations span both foundational and applied research areas.

Roberto Battiti's research outputs have appeared in publication venues such as arXiv (Cornell University), International Journal of Contemporary Hospitality Management, Journal of Hospitality and Tourism Technology, Artificial Intelligence, and Leibniz-Zentrum für Informatik (Schloss Dagstuhl).

Best Publications

  • Using mutual information for selecting features in supervised neural net learning

    R. Battiti

  • First- and second-order methods for learning: between steepest descent and Newton's method

    Roberto Battiti

  • The Reactive Tabu Search

    Roberto Battiti;Giampietro Tecchiolli

  • Statistical learning theory for location fingerprinting in wireless LANs

    Mauro Brunato;Roberto Battiti

  • Democracy in neural nets: voting schemes for classification

    Roberto Battiti;Anna Maria Colla

  • Reactive Search and Intelligent Optimization

    Roberto Battiti;Mauro Brunato;Franco Mascia

  • Location-aware computing: a neural network model for determining location in wireless LANs

    Roberto Battiti;Nhat Thang Le;Alessandro Villani

  • Accelerated Backpropagation Learning: Two Optimization Methods.

    Roberto Battiti

  • MOEA/D-ACO: A Multiobjective Evolutionary Algorithm Using Decomposition and AntColony

    Liangjun Ke;Qingfu Zhang;Roberto Battiti

  • Reactive Local Search for the Maximum Clique Problem1

    Unknown

  • BFGS Optimization for Faster and Automated Supervised Learning

    Roberto Battiti;Francesco Masulli

  • Greedy, prohibition, and reactive heuristics for graph partitioning

    R. Battiti;A.A. Bertossi

  • Computing optical flow across multiple scales: an adaptive coarse-to-fine strategy

    Roberto Battiti;Edoardo Amaldi;Christof Koch

  • Brain–Computer Evolutionary Multiobjective Optimization: A Genetic Algorithm Adapting to the Decision Maker

    Roberto Battiti;Andrea Passerini

  • Training neural nets with the reactive tabu search

    R. Battiti;G. Tecchiolli

  • PILGRIM: A location broker and mobility-aware recommendation system

    M. Brunato;R. Battiti

  • The continuous reactive tabu search: Blending combinatorial optimization and stochastic search for global optimization

    Roberto Battiti;Giampietro Tecchiolli

  • Hybridization of decomposition and local search for multiobjective optimization.

    Liangjun Ke;Qingfu Zhang;Roberto Battiti

  • Identifying intrusions in computer networks with principal component analysis

    W. Wang;R. Battiti

  • Reactive search, a history-sensitive heuristic for MAX-SAT

    Roberto Battiti;Marco Protasi

  • The gregarious particle swarm optimizer (G-PSO)

    Srinivas Pasupuleti;Roberto Battiti

Frequent Co-Authors

Renato Lo Cigno
Renato Lo Cigno University of Brescia
Vittorio Maniezzo
Vittorio Maniezzo University of Bologna
Jean-Paul Watson
Jean-Paul Watson Lawrence Livermore National Laboratory
Christian Blum
Christian Blum Spanish National Research Council
Bruno Crispo
Bruno Crispo University of Trento
Qingfu Zhang
Qingfu Zhang City University of Hong Kong
Thomas Stützle
Thomas Stützle Université Libre de Bruxelles
Mario Gerla
Mario Gerla University of California, Los Angeles
Carla-Fabiana Chiasserini
Carla-Fabiana Chiasserini Polytechnic University of Turin
Marco Ajmone Marsan
Marco Ajmone Marsan Polytechnic University of Turin

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