Pramuditha Suraweera

18 papers receiving 361 citations

Peers

Pramuditha Suraweera
Comparison fields: 5 of 56
  • Artificial Intelligence 342
  • Developmental and Educational Psychology 125
  • Computer Science Applications 123
  • Information Systems 55
  • Computer Networks and Communications 32
Replace Louis Massey with:
Louis Massey Canada
Brent Martin New Zealand
Michael Yudelson United States
Michael Mayo New Zealand
Klaus P. Jantke Germany
Jui-Feng Weng Taiwan
Amali Weerasinghe Australia
Ricardo Conejo Spain
Keith Irwin United States
Alenka Kavčič Slovenia
Pramuditha Suraweera relative to Louis Massey Canada Louis Massey's profile →
Citations per field
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Citations per year

Countries citing papers authored by Pramuditha Suraweera

Since Specialization
Citations

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

Fields of papers citing papers by Pramuditha Suraweera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pramuditha Suraweera

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 9
2 14
3 10
4 48
5 10
6 35
7 5
8
Authoring Constraint-based Tutors in ASPIRE: a Case Study of a Capital Investment Tutor
14
9 1
10 71
11
Constraint Authoring System: An Empirical Evaluation
10
12
Domain modelling with ontology: A case study
3
13 1
14
A Knowledge Acquisition System for Constraint-based Intelligent Tutoring Systems
25
15
DB-Suite: Experiences with Three Intelligent, Web-Based Database Tutors.
51
16 80
17
The use of ontologies in ITS domain knowledge authoring
12
18 6
19
An Animated Pedagogical Agent for SQL-Tutor
5

About Pramuditha Suraweera

Pramuditha Suraweera is a scholar working on Artificial Intelligence, Software and Developmental and Educational Psychology, having authored 19 papers that have together received 410 indexed citations. Recurring topics across this work include Intelligent Tutoring Systems and Adaptive Learning (17 papers), AI-based Problem Solving and Planning (14 papers) and Semantic Web and Ontologies (4 papers). The work is most often cited by research in Computer Science Applications (123 citations), Artificial Intelligence (342 citations) and Developmental and Educational Psychology (125 citations). Pramuditha Suraweera has collaborated with scholars based in New Zealand, Australia and United States. Frequent co-authors include Antonija Mitrović, Brent Martin, Geoffrey I. Webb, Amali Weerasinghe, Fei Zheng, Nicholas McGuigan, Mark Wallace and Moffat Mathews. Their work appears in journals such as Machine Learning, Transportation Research Part C Emerging Technologies and IEEE Intelligent Systems.

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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