Indika Wickramasinghe

501 citations
16 papers · 299 · 1 hit paper · h-index 6

Impact in

Papers in

Indika Wickramasinghe

14 papers receiving 289 citations

Indika Wickramasinghe's Hit Papers

Naive Bayes: applications, variations and vulnerabilities: a review of literature with code snippets for implementation 2020 · 197 citations
1970+2+4Years since publication50100150

Peers

Indika Wickramasinghe
Comparison fields: 5 of 106
  • Orthopedics and Sports Medicine 36
  • Health Information Management 20
  • Gender Studies 30
  • Economics and Econometrics 74
  • Artificial Intelligence 81
Replace Stéphane Tufféry with:
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Paola Ariza-Colpas Colombia
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Md. Kowsher Bangladesh
Xiuyi Fan Singapore
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Mohammad Shahadat Hossain Bangladesh
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Citations per year

Countries citing papers authored by Indika Wickramasinghe

Since Specialization
Citations

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

Fields of papers citing papers by Indika Wickramasinghe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 3 scholars most cited alongside Indika Wickramasinghe, 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 Wickramasinghe Line = papers co-authored together Indika Wickramasinghe links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1
Naive Bayes: applications, variations and vulnerabilities: a review of literature with code snippets for implementation
Hit paper breakdown →
2020197
2 201426
3 202220
4 202016
5 201510
6 20209
7 20145
8 20204
9 20243
10 20153
11 20242
12 20162
13 20251
14 20231
15 20240
16 20250

About Indika Wickramasinghe

Indika Wickramasinghe is a scholar working on Economics and Econometrics, Education, Gender Studies, Statistics and Probability and Information Systems, having authored 16 papers that have together received 299 indexed citations. Recurring topics across this work include Sports Analytics and Performance (7 papers), Statistics Education and Methodologies (4 papers), Sports, Gender, and Society (4 papers), Sports Performance and Training (3 papers), Online Learning and Analytics (3 papers), Sport and Mega-Event Impacts (2 papers), Educational Assessment and Pedagogy (2 papers) and Problem and Project Based Learning (2 papers). The work is most often cited by research in Orthopedics and Sports Medicine (36 citations), Health Information Management (20 citations), Gender Studies (30 citations), Economics and Econometrics (74 citations) and Artificial Intelligence (81 citations). Indika Wickramasinghe has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Harsha Kalutarage, Anne James and Siraj Ahmed Shaikh. Their work appears in journals such as Soft Computing, International Journal of Sports Science & Coaching, Computers & Electrical Engineering, International Journal of Mathematical Education in Science and Technology and Journal of Human Sport and Exercise.

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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