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Edleno Silva de Moura

Edleno Silva de Moura

Edleno Silva de Moura 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 Edleno Silva de Moura 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+

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

Edleno Silva de Moura 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 Edleno Silva de Moura 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+

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

Overview

Edleno Silva de Moura is affiliated with the Federal University of Amazonas in Brazil. Their research primarily focuses on computer science, with 39 publications in this domain. Within computer science, their work spans several subfields including artificial intelligence, information systems, computer networks and communications, political science and international relations, and management information systems.

The scientist's research covers topics such as artificial intelligence in law, topic modeling, web data mining and analysis, advanced database systems and queries, natural language processing techniques, fintech, crowdfunding, digital finance, and data management and algorithms.

Frequent publication venues for Edleno Silva de Moura include:

  • Artificial Intelligence and Law
  • IEEE Access
  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Journal of the Brazilian Computer Society

Selected recent papers authored or coauthored by the researcher are:

  • Efficient Match-Based Candidate Network Generation for Keyword Queries Over Relational Databases, 2020, IEEE Transactions on Knowledge and Data Engineering
  • A topic discovery approach for unsupervised organization of legal document collections, 2023, Artificial Intelligence and Law
  • Organizing Portuguese Legal Documents through Topic Discovery, 2022, Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
  • A Small World Graph Approach for an Efficient Indoor Positioning System, 2021, Sensors
  • Applying burst-tries for error-tolerant prefix search, 2022, Information Retrieval

Among frequent coauthors, Edleno Silva de Moura has collaborated notably with:

  • Altigran Soares da Silva
  • Marcos Aurélio Domingues
  • Leandro Balby Marinho
  • Pável Calado
  • João M. B. Cavalcanti

The combination of topics and publication venues indicates a strong involvement in artificial intelligence applications in legal contexts, topic discovery, and advancements in database querying techniques. Additionally, contributions to research on indoor positioning systems and error-tolerant search methods highlight a breadth of interests spanning multiple applied fields within computing.

Best Publications

  • Fast and flexible word searching on compressed text

    Edleno Silva de Moura;Gonzalo Navarro;Nivio Ziviani;Ricardo Baeza-Yates

  • Impedance coupling in content-targeted advertising

    Berthier Ribeiro-Neto;Marco Cristo;Paulo B. Golgher;Edleno Silva de Moura

  • Rank-preserving two-level caching for scalable search engines

    Patricia Correia Saraiva;Edleno Silva de Moura;Nivio Ziviani;Wagner Meira

  • Compression: a key for next-generation text retrieval systems

    N. Ziviani;E. Silva de Moura;G. Navarro;R. Baeza-Yates

  • Using association rules to discover search engines related queries

    B.M. Fonseca;P.B. Golgher;E.S. de Moura;N. Ziviani

  • Combining link-based and content-based methods for web document classification

    Pável Calado;Marco Cristo;Edleno Moura;Nivio Ziviani

  • Multiobjective Pareto-Efficient Approaches for Recommender Systems

    Marco Tulio Ribeiro;Nivio Ziviani;Edleno Silva De Moura;Itamar Hata

  • A fast and robust method for web page template detection and removal

    Karane Vieira;Altigran S. da Silva;Nick Pinto;Edleno S. de Moura

  • Adding Compression to Block Addressing Inverted Indexes

    Gonzalo Navarro;Edleno Silva De Moura;Marden Neubert;Nivio Ziviani

  • Link-based and content-based evidential information in a belief network model

    Ilmério Silva;Berthier Ribeiro-Neto;Pável Calado;Edleno Moura

  • Link-based similarity measures for the classification of Web documents

    Pável Calado;Marco Cristo;Marcos André Gonçalves;Edleno S. de Moura

  • FLUX-CIM: flexible unsupervised extraction of citation metadata

    Eli Cortez;Altigran S. da Silva;Marcos André Gonçalves;Filipe Mesquita

  • Local versus global link information in the Web

    Pável Calado;Berthier Ribeiro-Neto;Nivio Ziviani;Edleno Moura

  • Efficient distributed algorithms to build inverted files

    Berthier Ribeiro-Neto;Edleno S. Moura;Marden S. Neubert;Nivio Ziviani

  • Fast searching on compressed text allowing errors

    Edleno Silva de Moura;Gonzalo Navarro;Nivio Ziviani;Ricardo Baeza-Yates

  • Discovering search engine related queries using association rules

    Bruno M. Fonseca;Paulo B. Golgher;Edleno S. De Moura;Bruno Pôssas

  • Using association rules to discover related queries on search engines

    Bruno M. Fonseca;Paulo B. Golgher;Edleno S. de Moura;Nivio Ziviani

  • Assessing the quality of textual features in social media

    Flavio Figueiredo;Henrique Pinto;Fabiano BeléM;Jussara Almeida

  • Improving Web search efficiency via a locality based static pruning method

    Edleno S. de Moura;Célia F. dos Santos;Daniel R. Fernandes;Altigran S. Silva

  • A comparative study of citations and links in document classification

    Thierson Couto;Marco Cristo;Marcos André Gonçalves;Pável Calado

Frequent Co-Authors

Nivio Ziviani
Nivio Ziviani Universidade Federal de Minas Gerais
Marcos André Gonçalves
Marcos André Gonçalves Universidade Federal de Minas Gerais
Berthier Ribeiro-Neto
Berthier Ribeiro-Neto Universidade Federal de Minas Gerais
Jussara M. Almeida
Jussara M. Almeida Universidade Federal de Minas Gerais
Alberto H. F. Laender
Alberto H. F. Laender Universidade Federal de Minas Gerais
Adriano Veloso
Adriano Veloso Universidade Federal de Minas Gerais
Ricardo da Silva Torres
Ricardo da Silva Torres Wageningen University & Research
Juliana Freire
Juliana Freire New York University
Ricardo Baeza-Yates
Ricardo Baeza-Yates Royal Institute of Technology
gonzalo navarro
gonzalo navarro University of Chile

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