Indika Perera

164 papers receiving 1.3k citations

Peers

Indika Perera
Comparison fields: 5 of 137
  • Computer Science Applications 249
  • Software 108
  • Information Systems 533
  • Human-Computer Interaction 112
  • Computer Networks and Communications 235
Replace Ralf Klamma with:
Ralf Klamma Germany
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Nathan Griffiths United Kingdom
Rebeca P. Dı́az Redondo Spain
Alan Kay United States
Ignacio Aedo Spain
Teo Sušnjak New Zealand
Harco Leslie Hendric Spits Warnars Indonesia
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Indika Perera relative to Ralf Klamma Germany Ralf Klamma's profile →
Citations per field
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Citations per year

Countries citing papers authored by Indika Perera

Since Specialization
Citations

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

Fields of papers citing papers by Indika Perera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Indika Perera, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Indika Perera Line = papers co-authored together Indika Perera links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 174 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201853
2 201747
3 202147
4 201544
5 201937
6 202034
7 201732
8 201632
9 201627
10
Growing the use of Virtual Worlds in education : an OpenSim perspective
201227
11 201926
12 201024
13 201522
14 201522
15 200922
16 202021
17 201521
18 200720
19 201720
20 201720

About Indika Perera

Indika Perera is a scholar working on Information Systems, Artificial Intelligence, Computer Networks and Communications, Computer Science Applications and Computer Vision and Pattern Recognition, having authored 174 papers that have together received 1.4k indexed citations. Recurring topics across this work include Software Engineering Research (30 papers), Software System Performance and Reliability (23 papers), Online Learning and Analytics (22 papers), Software Engineering Techniques and Practices (22 papers), Cloud Computing and Resource Management (13 papers), Software Reliability and Analysis Research (13 papers), Online and Blended Learning (11 papers) and Virtual Reality Applications and Impacts (11 papers). The work is most often cited by research in Computer Science Applications (249 citations), Software (108 citations), Information Systems (533 citations), Human-Computer Interaction (112 citations) and Computer Networks and Communications (235 citations). Indika Perera has collaborated with scholars based in Sri Lanka, United Kingdom and Australia. Frequent co-authors include Dulani Meedeniya, Shantha Fernando, Dilrukshi Gamage, Colin Allison, Alan Miller, H. M. N. Dilum Bandara, Vijini Mallawaarachchi, Mobarakol Islam, Hongliang Ren and Ivan Ivanović. Their work appears in journals such as International Journal of Emerging Technologies in Learning (iJET), Journal of Thermal Analysis and Calorimetry, IEEE Access, PLoS ONE and npj Computational Materials.

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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