Rajiv Jayasena

52 total papers · 556 total citations
26 papers, 329 citations indexed

About

Rajiv Jayasena is a scholar working on General Health Professions, Public Health, Environmental and Occupational Health and Economics and Econometrics. According to data from OpenAlex, Rajiv Jayasena has authored 26 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in General Health Professions, 7 papers in Public Health, Environmental and Occupational Health and 7 papers in Economics and Econometrics. Recurrent topics in Rajiv Jayasena's work include Mobile Health and mHealth Applications (6 papers), Chronic Disease Management Strategies (5 papers) and Medication Adherence and Compliance (5 papers). Rajiv Jayasena is often cited by papers focused on Mobile Health and mHealth Applications (6 papers), Chronic Disease Management Strategies (5 papers) and Medication Adherence and Compliance (5 papers). Rajiv Jayasena collaborates with scholars based in Australia and Germany. Rajiv Jayasena's co-authors include Branko G. Celler, Marlien Varnfield, Jane Li, Andrew Maiorana, Jamie Layland, Hang Ding, Ross Sparks, Colin L. Masters, Alison Dowling and Mohan Karunanithi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Environmental Research and Public Health.

In The Last Decade

Rajiv Jayasena

23 papers receiving 320 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Rajiv Jayasena 117 95 86 50 39 26 329
Parag Mehta 83 0.7× 75 0.8× 46 0.5× 34 0.7× 12 0.3× 25 352
Jeffrey Chi 118 1.0× 99 1.0× 38 0.4× 26 0.5× 33 0.8× 19 322
Wesley G. Byerly 39 0.3× 60 0.6× 85 1.0× 22 0.4× 32 0.8× 16 316
Javier García Alegría 46 0.4× 25 0.3× 96 1.1× 47 0.9× 42 1.1× 38 363
Ralph Audehm 93 0.8× 29 0.3× 85 1.0× 84 1.7× 17 0.4× 34 334
Sara Artola 36 0.3× 42 0.4× 45 0.5× 69 1.4× 19 0.5× 28 329
Donna Parizadeh 28 0.2× 67 0.7× 67 0.8× 80 1.6× 21 0.5× 16 350
Nicoletta Musacchio 38 0.3× 22 0.2× 79 0.9× 48 1.0× 61 1.6× 20 342
Taskeen Khan 34 0.3× 37 0.4× 171 2.0× 37 0.7× 40 1.0× 15 356
Caitlin Carter 52 0.4× 49 0.5× 27 0.3× 38 0.8× 12 0.3× 31 311

Countries citing papers authored by Rajiv Jayasena

Since Specialization
Citations

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

Fields of papers citing papers by Rajiv Jayasena

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rajiv Jayasena

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

All Works

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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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