Frank Whittaker

1.6k total citations
19 papers, 829 citations indexed

About

Frank Whittaker is a scholar working on Cardiology and Cardiovascular Medicine, Information Systems and Artificial Intelligence. According to data from OpenAlex, Frank Whittaker has authored 19 papers receiving a total of 829 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cardiology and Cardiovascular Medicine, 4 papers in Information Systems and 4 papers in Artificial Intelligence. Recurrent topics in Frank Whittaker's work include Cardiac Health and Mental Health (3 papers), Cloud Data Security Solutions (3 papers) and Healthcare Systems and Technology (3 papers). Frank Whittaker is often cited by papers focused on Cardiac Health and Mental Health (3 papers), Cloud Data Security Solutions (3 papers) and Healthcare Systems and Technology (3 papers). Frank Whittaker collaborates with scholars based in Australia, China and Finland. Frank Whittaker's co-authors include Hua Wang, Shekha Chenthara, Khandakar Ahmed, Jeffrey Soar, Siuly Siuly, Xujuan Zhou, Ghazal Bargshady, Ravinesh C. Deo, Victoria Wade and Yanchun Zhang and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and IEEE Access.

In The Last Decade

Frank Whittaker

19 papers receiving 797 citations

Peers

Frank Whittaker

CNC

CVPR

Franco Chiarugi Greece

Álvaro Alesanco Spain

Chelsea Dobbins United Kingdom

Thanos G. Stavropoulos Greece

Alessandro Russo Italy

Hariton Costin Romania

Amin Ahsan Ali Bangladesh

Mobyen Uddin Ahmed Sweden

Vicente Moret‐Bonillo Spain

Asma Ghandeharioun United States

Franco Chiarugi Greece

Frank Whittaker

111 ×0.5

165 ×0.8

111 ×0.6

79 ×0.6

CNC

93 ×0.9

CVPR

Citations per year, relative to Frank Whittaker Frank Whittaker (= 1×) peers Franco Chiarugi

Countries citing papers authored by Frank Whittaker

Since Specialization

Citations

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

Fields of papers citing papers by Frank Whittaker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frank Whittaker

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

All Works

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19 of 19 papers shown

Siuly, Siuly, et al.. (2022). A deep learning based framework for diagnosis of mild cognitive impairment. Knowledge-Based Systems. 248. 108815–108815. 51 indexed citations

Tawhid, Md. Nurul Ahad, Siuly Siuly, Hua Wang, et al.. (2021). A spectrogram image based intelligent technique for automatic detection of autism spectrum disorder from EEG. PLoS ONE. 16(6). e0253094–e0253094. 72 indexed citations

Chenthara, Shekha, Khandakar Ahmed, Hua Wang, Frank Whittaker, & Zhenxiang Chen. (2020). Healthchain: A novel framework on privacy preservation of electronic health records using blockchain technology. PLoS ONE. 15(12). e0243043–e0243043. 94 indexed citations

Bargshady, Ghazal, Xujuan Zhou, Ravinesh C. Deo, et al.. (2020). Ensemble neural network approach detecting pain intensity from facial expressions. Artificial Intelligence in Medicine. 109. 101954–101954. 40 indexed citations

Chenthara, Shekha, Hua Wang, Khandakar Ahmed, Frank Whittaker, & Ke Ji. (2020). A Blockchain based model for Curbing Doctors Shopping and Ensuring Provenance Management. Victoria University Research Repository (Victoria University). 5 indexed citations

Bargshady, Ghazal, Xujuan Zhou, Ravinesh C. Deo, et al.. (2020). The modeling of human facial pain intensity based on Temporal Convolutional Networks trained with video frames in HSV color space. Applied Soft Computing. 97. 106805–106805. 34 indexed citations

Bargshady, Ghazal, Xujuan Zhou, Ravinesh C. Deo, et al.. (2020). Enhanced deep learning algorithm development to detect pain intensity from facial expression images. Expert Systems with Applications. 149. 113305–113305. 104 indexed citations

Siuly, Siuly, Ömer Faruk Alçin, Enamul Kabir, et al.. (2020). A New Framework for Automatic Detection of Patients With Mild Cognitive Impairment Using Resting-State EEG Signals. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 28(9). 1966–1976. 102 indexed citations

Bargshady, Ghazal, Jeffrey Soar, Xujuan Zhou, et al.. (2019). A Joint Deep Neural Network Model for Pain Recognition from Face. 52–56. 34 indexed citations

10.

Chenthara, Shekha, Khandakar Ahmed, & Frank Whittaker. (2019). Privacy-Preserving Data Sharing using Multi-layer Access Control Model in Electronic Health Environment. ICST Transactions on Scalable Information Systems. 6(22). 159356–159356. 5 indexed citations

11.

Chenthara, Shekha, Khandakar Ahmed, Hua Wang, & Frank Whittaker. (2019). Security and Privacy-Preserving Challenges of e-Health Solutions in Cloud Computing. IEEE Access. 7. 74361–74382. 191 indexed citations

12.

Zhang, Yuzhe, et al.. (2016). Ensuring data integrity in electronic health records: A quality health care implication. Victoria University Research Repository (Victoria University). 20–27. 12 indexed citations

13.

Wade, Victoria, et al.. (2015). An evaluation of the benefits and challenges of video consulting between general practitioners and residential aged care facilities. Journal of Telemedicine and Telecare. 21(8). 490–493. 17 indexed citations

14.

Whittaker, Frank. (2015). Electronic Communities of Care - Measuring the Benefits. University of Southern Queensland ePrints (University of Southern Queensland). 1 indexed citations

15.

Whittaker, Frank & Victoria Wade. (2014). The costs and benefits of technology-enabled, home-based cardiac rehabilitation measured in a randomised controlled trial. Journal of Telemedicine and Telecare. 20(7). 419–422. 48 indexed citations

16.

Karunanithi, Mohan, Marlien Varnfield, Hang Ding, et al.. (2010). Care assessment platform: An ICT-enabled home care model for secondary prevention of cardiovascular diseases. PubMed. 2010. 5266–5266. 4 indexed citations

17.

Särelä, Antti, Frank Whittaker, & Ilkka Korhonen. (2009). Service and business model for technology enabled and home-based cardiac rehabilitation programs. PubMed. 24. 303–307. 6 indexed citations

18.

Soar, Jeffrey, et al.. (2007). Reducing avoidable hospital admissions of the frail elderly using intelligent referrals. University of Southern Queensland ePrints (University of Southern Queensland). 2(1). 3. 8 indexed citations

19.

Whittaker, Frank & Jeffrey Soar. (2006). An information model for coordination of referrals to community care. University of Southern Queensland ePrints (University of Southern Queensland). 1 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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