Achini Adikari

1.3k total citations
31 papers, 848 citations indexed

About

Achini Adikari is a scholar working on Artificial Intelligence, Social Psychology and Applied Psychology. According to data from OpenAlex, Achini Adikari has authored 31 papers receiving a total of 848 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 9 papers in Social Psychology and 5 papers in Applied Psychology. Recurrent topics in Achini Adikari's work include Mental Health via Writing (9 papers), Sentiment Analysis and Opinion Mining (6 papers) and Digital Mental Health Interventions (4 papers). Achini Adikari is often cited by papers focused on Mental Health via Writing (9 papers), Sentiment Analysis and Opinion Mining (6 papers) and Digital Mental Health Interventions (4 papers). Achini Adikari collaborates with scholars based in Australia, Canada and United Kingdom. Achini Adikari's co-authors include Damminda Alahakoon, Daswin De Silva, Tharindu Bandaragoda, Rashmika Nawaratne, Thimal Kempitiya, Su Nguyen, Dinithi Nallaperuma, Nathan Lawrentschuk, Weranja Ranasinghe and Damien Bolton and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of Urology.

In The Last Decade

Achini Adikari

28 papers receiving 818 citations

Peers

Achini Adikari

ONCOL

SPS

Francisco Javier Díaz Pernas Spain

Tianshu Zhou China

Tom United States

Ronggang Zhou China

Bridget Kane Ireland

Mohamed A. Ahmed Iraq

Christopher Watson Australia

Rula A. Hamid Iraq

Saturnino Luz Ireland

Fei Yu United States

Francisco Javier Díaz Pernas Spain

Achini Adikari

222 ×1.0

122 ×1.3

33 ×0.4

ONCOL

125 ×1.4

SPS

126 ×1.5

Citations per year, relative to Achini Adikari Achini Adikari (= 1×) peers Francisco Javier Díaz Pernas

Countries citing papers authored by Achini Adikari

Since Specialization

Citations

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

Fields of papers citing papers by Achini Adikari

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Achini Adikari

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

All Works

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20 of 20 papers shown

Adikari, Achini, Rashmika Nawaratne, Daswin De Silva, et al.. (2024). Is Mild Really Mild?: Generating Longitudinal Profiles of Stroke Survivor Impairment and Impact Using Unsupervised Machine Learning. Applied Sciences. 14(15). 6800–6800. 2 indexed citations

Adikari, Achini, Su Nguyen, Rashmika Nawaratne, Daswin De Silva, & Damminda Alahakoon. (2024). Transforming Customer Digital Footprints into Decision Enablers in Hospitality. Applied Sciences. 14(7). 3114–3114. 2 indexed citations

Alahakoon, Damminda, et al.. (2024). Optimizing Speech Emotion Recognition with Machine Learning Based Advanced Audio Cue Analysis. SHILAP Revista de lepidopterología. 12(7). 111–111. 1 indexed citations

Leung, Yvonne, Achini Adikari, Daswin De Silva, et al.. (2024). Artificial Intelligence–Based Co-Facilitator (AICF) for Detecting and Monitoring Group Cohesion Outcomes in Web-Based Cancer Support Groups: Single-Arm Trial Study. JMIR Cancer. 10. e43070–e43070.

Thayasivam, Uthayasanker, et al.. (2024). Multimodal Supported Chatbot Framework for People with Aphasia. 566–571.

Adikari, Achini, et al.. (2023). From concept to practice: a scoping review of the application of AI to aphasia diagnosis and management. Disability and Rehabilitation. 46(7). 1288–1297. 20 indexed citations

Leung, Yvonne, Steve Ng, Heather Rennie, et al.. (2023). Therapist Feedback and Implications on Adoption of an Artificial Intelligence–Based Co-Facilitator for Online Cancer Support Groups: Mixed Methods Single-Arm Usability Study. JMIR Cancer. 9. e40113–e40113. 5 indexed citations

Leung, Yvonne, Achini Adikari, Jiahui Wong, et al.. (2022). Providing Care Beyond Therapy Sessions With a Natural Language Processing–Based Recommender System That Identifies Cancer Patients Who Experience Psychosocial Challenges and Provides Self-care Support: Pilot Study. JMIR Cancer. 8(3). e35893–e35893. 11 indexed citations

Adikari, Achini, et al.. (2021). Emotions of COVID-19: Content Analysis of Self-Reported Information Using Artificial Intelligence. Journal of Medical Internet Research. 23(4). e27341–e27341. 39 indexed citations

10.

Adikari, Achini, Daswin De Silva, Harsha Moraliyage, et al.. (2021). Empathic conversational agents for real-time monitoring and co-facilitation of patient-centered healthcare. Future Generation Computer Systems. 126. 318–329. 41 indexed citations

11.

Leung, Yvonne, Achini Adikari, Graeme Hirst, et al.. (2021). Natural Language Processing–Based Virtual Cofacilitator for Online Cancer Support Groups: Protocol for an Algorithm Development and Validation Study. JMIR Research Protocols. 10(1). e21453–e21453. 16 indexed citations

12.

Richdale, Amanda L., et al.. (2021). What Is Autistic Burnout? A Thematic Analysis of Posts on Two Online Platforms. Autism in Adulthood. 4(1). 52–65. 70 indexed citations

13.

Adikari, Achini, Donna Burnett, Darshana Sedera, Daswin De Silva, & Damminda Alahakoon. (2021). Value co-creation for open innovation: An evidence-based study of the data driven paradigm of social media using machine learning.. International Journal of Information Management Data Insights. 1(2). 100022–100022. 45 indexed citations

14.

Moraliyage, Harsha, Daswin De Silva, Weranja Ranasinghe, et al.. (2020). Cancer in Lockdown: Impact of the COVID-19 Pandemic on Patients with Cancer. The Oncologist. 26(2). e342–e344. 88 indexed citations

15.

Adikari, Achini, Daswin De Silva, Weranja Ranasinghe, et al.. (2020). Can online support groups address psychological morbidity of cancer patients? An artificial intelligence based investigation of prostate cancer trajectories. PLoS ONE. 15(3). e0229361–e0229361. 24 indexed citations

16.

Bandaragoda, Tharindu, Achini Adikari, Rashmika Nawaratne, et al.. (2020). Artificial intelligence based commuter behaviour profiling framework using Internet of things for real-time decision-making. Neural Computing and Applications. 32(20). 16057–16071. 24 indexed citations

17.

Nallaperuma, Dinithi, Rashmika Nawaratne, Tharindu Bandaragoda, et al.. (2019). Online Incremental Machine Learning Platform for Big Data-Driven Smart Traffic Management. IEEE Transactions on Intelligent Transportation Systems. 20(12). 4679–4690. 199 indexed citations

18.

Silva, Daswin De, Weranja Ranasinghe, Tharindu Bandaragoda, et al.. (2018). Machine learning to support social media empowered patients in cancer care and cancer treatment decisions. PLoS ONE. 13(10). e0205855–e0205855. 54 indexed citations

19.

Ranasinghe, Weranja, Daswin De Silva, Tharindu Bandaragoda, et al.. (2018). Robotic-assisted vs. open radical prostatectomy: A machine learning framework for intelligent analysis of patient-reported outcomes from online cancer support groups. Urologic Oncology Seminars and Original Investigations. 36(12). 529.e1–529.e9. 15 indexed citations

20.

Bandaragoda, Tharindu, Weranja Ranasinghe, Achini Adikari, et al.. (2018). The Patient-Reported Information Multidimensional Exploration (PRIME) Framework for Investigating Emotions and Other Factors of Prostate Cancer Patients with Low Intermediate Risk Based on Online Cancer Support Group Discussions. Annals of Surgical Oncology. 25(6). 1737–1745. 23 indexed citations

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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