Akebo Yamakami

1.5k total citations
76 papers, 891 citations indexed

About

Akebo Yamakami is a scholar working on Control and Systems Engineering, Artificial Intelligence and Information Systems. According to data from OpenAlex, Akebo Yamakami has authored 76 papers receiving a total of 891 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Control and Systems Engineering, 27 papers in Artificial Intelligence and 21 papers in Information Systems. Recurrent topics in Akebo Yamakami's work include Optimization and Mathematical Programming (23 papers), Spam and Phishing Detection (19 papers) and Text and Document Classification Technologies (19 papers). Akebo Yamakami is often cited by papers focused on Optimization and Mathematical Programming (23 papers), Spam and Phishing Detection (19 papers) and Text and Document Classification Technologies (19 papers). Akebo Yamakami collaborates with scholars based in Brazil, Spain and Portugal. Akebo Yamakami's co-authors include Tiago A. Almeida, José María Gómez Hidalgo, Jurandy Almeida, José C. Geromel, Renato M. Silva, José Luís Verdegay, María Teresa Lamata, Laécio Carvalho de Barros, Vinı́cius Amaral Armentano and Ana S. Camanho and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Automatic Control and Expert Systems with Applications.

In The Last Decade

Akebo Yamakami

73 papers receiving 838 citations

Peers

Akebo Yamakami
Comparison fields: 5 of 92
  • Artificial Intelligence 482
  • Information Systems 452
  • Computer Networks and Communications 250
  • Control and Systems Engineering 138
  • Signal Processing 129
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Citations per field, relative to Akebo Yamakami
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Citations per year, relative to Akebo Yamakami
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Countries citing papers authored by Akebo Yamakami

Since Specialization
Citations

This map shows the geographic impact of Akebo Yamakami'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 Akebo Yamakami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akebo Yamakami more than expected).

Fields of papers citing papers by Akebo Yamakami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Akebo Yamakami. 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 Akebo Yamakami. The network helps show where Akebo Yamakami may publish in the future.

Co-authorship network of co-authors of Akebo Yamakami

This figure shows the co-authorship network connecting the top 25 collaborators of Akebo Yamakami. A scholar is included among the top collaborators of Akebo Yamakami 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 Akebo Yamakami. Akebo Yamakami 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
# Work Indexed citations
1 8
2 1
3 1
4 14
5 0
6 7
7
Machine Learning Methods for Spamdexing Detection
8
8 3
9
Artificial Neural Networks For Content-based Web Spam Detection
13
10 4
11 1
12 11
13 2
14
Definition of fuzzy Pareto-optimality by using possibility theory
1
15
A Parametric Method to Solve Quadratic Programming Problems with Fuzzy Costs.
1
16 17
17 7
18 3
19 5
20 14

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.

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