Constantino Martins

712 citations
38 papers · 367 indexed · h-index 9
Topics
Learning Styles and Cognitive Differences (7 papers)Recommender Systems and Techniques (6 papers)Intelligent Tutoring Systems and Adaptive Learning (5 papers)

In The Last Decade

Constantino Martins

32 papers receiving 340 citations

Peers

Constantino Martins
Comparison fields: 5 of 85
  • Information Systems 147
  • Artificial Intelligence 114
  • Sociology and Political Science 84
  • Computer Science Applications 73
  • Transportation 50
Replace Todorka Alexandrova with:
Todorka Alexandrova Japan
Claudia López United States
Souneil Park Spain
João Carneiro Portugal
Patrick Ehlen United States
Jose Martin Spain
Tuul Triyason Thailand
Golnoosh Farnadi United States
Nur Siyam United Arab Emirates
Mattia Zeni Italy
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Citations per field
00.5×8.5×
Todorka Alexandrova · 1×
Citations per year

Countries citing papers authored by Constantino Martins

Since Specialization
Citations

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

Fields of papers citing papers by Constantino Martins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Constantino Martins

This figure shows the co-authorship network connecting the top 25 collaborators of Constantino Martins. A scholar is included among the top collaborators of Constantino Martins 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 Constantino Martins. Constantino Martins 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
1 0
2 2
3 1
4 1
5 3
6 4
7 1
8 0
9 52
10 1
11 0
12 31
13 1
14
ADAPTIVE LEARNING MANAGEMENT SYSTEM TO SUPPORT AN INTELLIGENT TUTORING MODULE
2
15
Content adaptation for an adaptive hypermedia system
0
16 3
17 1
18 6
19
User Modeling in Adaptive Hypermedia Educational Systems.
62
20 3

About Constantino Martins

Constantino Martins is a scholar working on Computer Science Applications, Applied Psychology and Developmental and Educational Psychology, having authored 38 papers that have together received 367 indexed citations. Recurring topics across this work include Learning Styles and Cognitive Differences (7 papers), Recommender Systems and Techniques (6 papers) and Intelligent Tutoring Systems and Adaptive Learning (5 papers). The work is most often cited by research in Computer Science Applications (73 citations), Transportation (50 citations) and Information Systems (147 citations). Constantino Martins has collaborated with scholars based in Portugal, United States and Spain. Frequent co-authors include Ana Almeida, Marı́a N. Moreno Garcı́a, Ramiro Gonçalves, Carlos Vaz de Carvalho, José Martins, Frederico Branco, Cristina Queirós, Raquel Simões de Almeida, António Marques and Tiago J. C. Sousa. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Journal of Medical Internet Research.

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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