Arsénio Reis

1.2k citations
43 papers · 227 indexed · h-index 10
Topics
Context-Aware Activity Recognition Systems (7 papers)IoT and Edge/Fog Computing (6 papers)Digital Transformation in Industry (5 papers)
Partner nations
PortugalTaiwanGreece

In The Last Decade

Arsénio Reis

33 papers receiving 214 citations

Peers

Arsénio Reis
Comparison fields: 5 of 83
  • Artificial Intelligence 51
  • Computer Vision and Pattern Recognition 39
  • Computer Networks and Communications 31
  • Demography 31
  • Information Systems 22
Replace Riccardo De Benedictis with:
Riccardo De Benedictis Italy
Tracy Sanders United States
Francisco de Arriba-Pérez Spain
Emad Aghayi United States
Mary Jane C. Samonte Philippines
V. Muñoz Spain
Tayeb Lemlouma France
Priscila Cedillo Ecuador
Andrei Vasilăţeanu Romania
Norizan Mat Diah Malaysia
Arsénio Reis relative to Riccardo De Benedictis Italy Riccardo De Benedictis's profile →
Citations per field
00.5×3.4×
Riccardo De Benedictis · 1×
Citations per year

Countries citing papers authored by Arsénio Reis

Since Specialization
Citations

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

Fields of papers citing papers by Arsénio Reis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arsénio Reis

This figure shows the co-authorship network connecting the top 25 collaborators of Arsénio Reis. A scholar is included among the top collaborators of Arsénio Reis 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 Arsénio Reis. Arsénio Reis 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
#WorkIndexed citations
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2 0
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5 3
6 3
7 0
8 1
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11 13
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14 6
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17 5
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19 11
20 1

About Arsénio Reis

Arsénio Reis is a scholar working on Industrial and Manufacturing Engineering, Medical Laboratory Technology and Computer Vision and Pattern Recognition, having authored 43 papers that have together received 227 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (7 papers), IoT and Edge/Fog Computing (6 papers) and Digital Transformation in Industry (5 papers). The work is most often cited by research in Health Informatics (7 citations), Computer Science Applications (18 citations) and Human-Computer Interaction (17 citations). Arsénio Reis has collaborated with scholars based in Portugal, Taiwan and Greece. Frequent co-authors include João Barroso, Hugo Paredes, Maria João Monteiro, Isabel Barroso, E. J. Solteiro Pires, Vítor Manuel Costa Pereira Rodrigues, Tiago Pinto, Salik Ram Khanal, Ántónio Pereira and Carlos Rabadão. Their work appears in journals such as Sensors, Sustainability and Applied Sciences.

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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