Joglas Souza

448 citations
15 papers · 151 indexed · h-index 8
Topics
Data Mining Algorithms and Applications (5 papers)Machine Learning in Healthcare (3 papers)Imbalanced Data Classification Techniques (3 papers)
Journals
Performance EvaluationMspace (University of Manitoba)Procedia Computer Science
Partner nations
CanadaItalyBrazil

In The Last Decade

Joglas Souza

14 papers receiving 146 citations

Peers

Joglas Souza
Comparison fields: 5 of 41
  • Artificial Intelligence 96
  • Information Systems 53
  • Signal Processing 28
  • Management Science and Operations Research 21
  • Health Information Management 18
Replace Calvin S. H. Hoi with:
Calvin S. H. Hoi Canada
Özgü Can Türkiye
Lili Sun Australia
Gianluca Correndo United Kingdom
Johannes Jurgovsky Germany
Romil Rawat India
Kathrin Dentler Netherlands
Ching-Seh Wu United States
G. Rekha India
T. Meyyappan India
Joglas Souza relative to Calvin S. H. Hoi Canada Calvin S. H. Hoi's profile →
Citations per field
00.5×
Calvin S. H. Hoi · 1×
Citations per year

Countries citing papers authored by Joglas Souza

Since Specialization
Citations

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

Fields of papers citing papers by Joglas Souza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joglas Souza

This figure shows the co-authorship network connecting the top 25 collaborators of Joglas Souza. A scholar is included among the top collaborators of Joglas Souza 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 Joglas Souza. Joglas Souza is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 1
2 10
3 18
4 11
5 10
6 2
7
An efficient approach for mining weighted frequent patterns with dynamic weights.
2
8 10
9 24
10 6
11 15
12 39
13 1
14 1
15 1

About Joglas Souza

Joglas Souza is a scholar working on Health Informatics, Information Systems and Artificial Intelligence, having authored 15 papers that have together received 151 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (5 papers), Machine Learning in Healthcare (3 papers) and Imbalanced Data Classification Techniques (3 papers). The work is most often cited by research in Health Information Management (18 citations), Artificial Intelligence (96 citations) and Health Informatics (4 citations). Joglas Souza has collaborated with scholars based in Canada, Italy and Brazil. Frequent co-authors include Carson K. Leung, Alfredo Cuzzocrea, Adam G.M. Pazdor, G. Grasso, Boyu Tang, Fan Jiang, Peter Braun, Syed Khairuzzaman Tanbeer, Calvin S. H. Hoi and Nguyen Tran. Their work appears in journals such as Performance Evaluation, Mspace (University of Manitoba) and Procedia Computer Science.

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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