Edleno Silva de Moura

3.0k total citations
98 papers, 1.8k citations indexed

About

Edleno Silva de Moura is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Edleno Silva de Moura has authored 98 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Information Systems, 58 papers in Artificial Intelligence and 26 papers in Computer Networks and Communications. Recurrent topics in Edleno Silva de Moura's work include Web Data Mining and Analysis (45 papers), Algorithms and Data Compression (18 papers) and Text and Document Classification Technologies (17 papers). Edleno Silva de Moura is often cited by papers focused on Web Data Mining and Analysis (45 papers), Algorithms and Data Compression (18 papers) and Text and Document Classification Technologies (17 papers). Edleno Silva de Moura collaborates with scholars based in Brazil, Portugal and United States. Edleno Silva de Moura's co-authors include Nívio Ziviani, Berthier Ribeiro‐Neto, Gonzalo Navarro, Ricardo Baeza‐Yates, Altigran S. da Silva, Marco Cristo, Pável Calado, Marcos André Gonçalves, Paulo B. Golgher and Altigran Soares da Silva and has published in prestigious journals such as IEEE Access, Sensors and Computer.

In The Last Decade

Edleno Silva de Moura

93 papers receiving 1.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Edleno Silva de Moura Brazil 23 1.0k 987 508 337 275 98 1.8k
Nívio Ziviani Brazil 24 1.1k 1.1× 1.1k 1.1× 527 1.0× 338 1.0× 262 1.0× 115 2.0k
Rainer Gemulla Germany 23 1.3k 1.2× 841 0.9× 752 1.5× 361 1.1× 424 1.5× 56 2.1k
Paolo Atzeni Italy 23 1.1k 1.1× 993 1.0× 1.3k 2.6× 695 2.1× 149 0.5× 112 2.2k
C. R. Ramakrishnan United States 22 1.1k 1.0× 548 0.6× 442 0.9× 348 1.0× 92 0.3× 86 1.7k
Glen Jeh United States 7 1.3k 1.3× 902 0.9× 427 0.8× 323 1.0× 404 1.5× 7 2.3k
Peixiang Zhao United States 17 970 1.0× 425 0.4× 411 0.8× 388 1.2× 551 2.0× 33 1.6k
Alexander Borgida United States 24 2.1k 2.1× 1.0k 1.1× 1.2k 2.3× 475 1.4× 167 0.6× 89 2.7k
Silvio Lattanzi United States 18 701 0.7× 321 0.3× 530 1.0× 188 0.6× 346 1.3× 65 1.5k
Spiros Skiadopoulos Greece 21 855 0.8× 476 0.5× 711 1.4× 462 1.4× 230 0.8× 58 1.7k
Sriram Raghavan United States 18 791 0.8× 1.3k 1.3× 773 1.5× 523 1.6× 205 0.7× 38 2.0k

Countries citing papers authored by Edleno Silva de Moura

Since Specialization
Citations

This map shows the geographic impact of Edleno Silva de Moura's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Edleno Silva de Moura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edleno Silva de Moura more than expected).

Fields of papers citing papers by Edleno Silva de Moura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Edleno Silva de Moura. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Edleno Silva de Moura. The network helps show where Edleno Silva de Moura may publish in the future.

Co-authorship network of co-authors of Edleno Silva de Moura

This figure shows the co-authorship network connecting the top 25 collaborators of Edleno Silva de Moura. A scholar is included among the top collaborators of Edleno Silva de Moura based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Edleno Silva de Moura. Edleno Silva de Moura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Silva, Altigran Soares da, et al.. (2024). A Study on Unsupervised Question and Answer Generation for Legal Information Retrieval and Precedents Understanding. 2865–2869. 1 indexed citations
2.
Domingues, Marcos Aurélio, Edleno Silva de Moura, Leandro Balby Marinho, & Altigran Soares da Silva. (2023). A large scale benchmark for session-based recommendations on the legal domain. Artificial Intelligence and Law. 33(1). 43–78. 1 indexed citations
3.
Guimarães, Leonardo, Eulanda M. dos Santos, Edleno Silva de Moura, et al.. (2021). A Small World Graph Approach for an Efficient Indoor Positioning System. Sensors. 21(15). 5013–5013. 3 indexed citations
4.
Moura, Edleno Silva de, et al.. (2020). Effective Lightweight Learning-to-Rank Method Using Unified Term Impacts. IEEE Access. 8. 70420–70437. 2 indexed citations
5.
Silva, Altigran Soares da, et al.. (2020). Efficient Match-Based Candidate Network Generation for Keyword Queries Over Relational Databases. IEEE Transactions on Knowledge and Data Engineering. 34(4). 1735–1750. 4 indexed citations
6.
Silva, Altigran S. da, et al.. (2019). OpinionLink: Leveraging user opinions for product catalog enrichment. Information Processing & Management. 56(3). 823–843. 9 indexed citations
7.
Silva, Altigran Soares da, et al.. (2018). Match-Based Candidate Network Generation for Keyword Queries over Relational Databases. 1344–1347. 5 indexed citations
8.
Moura, Edleno Silva de, et al.. (2015). Heuristics to Improve the BMW Method and Its Variants. Journal of Information and Data Management. 6(3). 178–191. 8 indexed citations
9.
Cristo, Marco, et al.. (2015). Removing DUST Using Multiple Alignment of Sequences. IEEE Transactions on Knowledge and Data Engineering. 27(8). 2261–2274. 8 indexed citations
10.
Crochemore, Maxime & Edleno Silva de Moura. (2014). String Processing and Information Retrieval. Lecture notes in computer science. 8 indexed citations
11.
Moura, Edleno Silva de, et al.. (2012). Selecting keywords to represent web pages using Wikipedia information. 375–382. 9 indexed citations
12.
Pessoa, Marcela, et al.. (2011). ACAKS: An Ad-Collection-Aware Keyword Selection Approach for Contextual Advertising. Cadernos de Linguística e Teoria da Literatura (Universidade Federal de Minas Gerais). 2(3). 243–258. 1 indexed citations
13.
Cortez, Eli, et al.. (2011). On Using Wikipedia to Build Knowledge Bases for Information Extraction by Text Segmentation. Cadernos de Linguística e Teoria da Literatura (Universidade Federal de Minas Gerais). 2(3). 259–272. 2 indexed citations
14.
Moura, Edleno Silva de, et al.. (2010). Using Statistical Features to Find Phrasal Terms in Text Collections. Journal of Information and Data Management. 1(3). 583–597. 4 indexed citations
15.
Moura, Edleno Silva de, David Fernandes, Berthier Ribeiro‐Neto, Altigran S. da Silva, & Marcos André Gonçalves. (2010). Using structural information to improve search in Web collections. Journal of the American Society for Information Science and Technology. 61(12). 2503–2513. 6 indexed citations
16.
Moura, Edleno Silva de, et al.. (2007). A Hypergraph Model for Computing Page Reputation on Web Collections.. 35–49. 3 indexed citations
17.
Laender, Alberto H. F., et al.. (2006). YAQCX: A Word-based Query-aware Compressor for XML Data.. 251–264. 1 indexed citations
18.
Oliveira, Edson, et al.. (2006). Extracting and Searching Useful Information Available on Web FAQs.. 102–116.
19.
Moura, Edleno Silva de, et al.. (2005). Detecção de Réplicas Utilizando Conteúdo e Estrutura.. 25–39. 1 indexed citations
20.
Ziviani, Nívio, Edleno Silva de Moura, Gonzalo Navarro, & Ricardo Baeza‐Yates. (2000). Compression: a key for next-generation text retrieval systems. Computer. 33(11). 37–44. 83 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Nívio Ziviani Breakdown of academic impact, for papers by Rainer Gemulla Breakdown of academic impact, for papers by Paolo Atzeni Breakdown of academic impact, for papers by C. R. Ramakrishnan Breakdown of academic impact, for papers by Glen Jeh Breakdown of academic impact, for papers by Peixiang Zhao Breakdown of academic impact, for papers by Alexander Borgida Breakdown of academic impact, for papers by Silvio Lattanzi Breakdown of academic impact, for papers by Spiros Skiadopoulos Breakdown of academic impact, for papers by Sriram Raghavan
Rankless by CCL
2026