Felix Sukums

741 total citations
24 papers, 378 citations indexed

About

Felix Sukums is a scholar working on General Health Professions, Health Information Management and Information Systems. According to data from OpenAlex, Felix Sukums has authored 24 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in General Health Professions, 9 papers in Health Information Management and 5 papers in Information Systems. Recurrent topics in Felix Sukums's work include Mobile Health and mHealth Applications (10 papers), Electronic Health Records Systems (8 papers) and Healthcare Systems and Technology (5 papers). Felix Sukums is often cited by papers focused on Mobile Health and mHealth Applications (10 papers), Electronic Health Records Systems (8 papers) and Healthcare Systems and Technology (5 papers). Felix Sukums collaborates with scholars based in Tanzania, Germany and Norway. Felix Sukums's co-authors include Nathan Kumasenu Mensah, Antje Blank, Jens Kaltschmidt, Josef Noll, Bernard Ngowi, Walter E. Haefeli, Andrea Sylvia Winkler, Rose Mpembeni, Danica Radovanović and Edda Tandi Lwoga and has published in prestigious journals such as Journal of Medical Internet Research, BMC Health Services Research and International Journal of Medical Informatics.

In The Last Decade

Felix Sukums

23 papers receiving 368 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Felix Sukums Tanzania 11 189 85 69 67 53 24 378
Martin C. Were United States 15 299 1.6× 142 1.7× 77 1.1× 73 1.1× 89 1.7× 35 583
Berhanu Fikadie Endehabtu Ethiopia 13 344 1.8× 110 1.3× 106 1.5× 78 1.2× 64 1.2× 47 636
Julian Schweitzer United States 5 233 1.2× 56 0.7× 67 1.0× 108 1.6× 47 0.9× 8 409
Agmasie Damtew Walle Ethiopia 14 167 0.9× 54 0.6× 58 0.8× 70 1.0× 54 1.0× 67 446
Christina Synowiec United States 4 196 1.0× 53 0.6× 76 1.1× 40 0.6× 48 0.9× 5 338
Christian Allen United States 9 151 0.8× 125 1.5× 47 0.7× 30 0.4× 48 0.9× 19 461
Kassahun Dessie Gashu Ethiopia 12 182 1.0× 60 0.7× 55 0.8× 52 0.8× 47 0.9× 30 369
Atinkut Alamirrew Zeleke Germany 11 150 0.8× 31 0.4× 94 1.4× 109 1.6× 57 1.1× 32 422
Nancy Puttkammer United States 13 195 1.0× 105 1.2× 61 0.9× 106 1.6× 17 0.3× 65 507
Vincent Micheal Kiberu South Africa 5 139 0.7× 58 0.7× 73 1.1× 81 1.2× 27 0.5× 8 288

Countries citing papers authored by Felix Sukums

Since Specialization
Citations

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

Fields of papers citing papers by Felix Sukums

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Felix Sukums

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

All Works

20 of 20 papers shown
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Mwang’onde, Beda John, Bernard Ngowi, Felix Sukums, et al.. (2023). Effects of a Digital Health Literacy Intervention on Porcine Cysticercosis Prevalence and Associated Household Practices in Iringa District, Tanzania. Pathogens. 12(1). 107–107.
3.
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Mensah, Nathan Kumasenu, et al.. (2023). Health professional’s readiness and factors associated with telemedicine implementation and use in selected health facilities in Ghana. Heliyon. 9(3). e14501–e14501. 9 indexed citations
5.
Tsai, Yi-Ting, et al.. (2023). Predicting facility-based delivery in Zanzibar: The vulnerability of machine learning algorithms to adversarial attacks. Heliyon. 9(5). e16244–e16244. 4 indexed citations
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Sukums, Felix, et al.. (2023). The use of artificial intelligence-based innovations in the health sector in Tanzania: A scoping review. Health Policy and Technology. 12(1). 100728–100728. 21 indexed citations
8.
Andersson, Sarah Wamala, et al.. (2022). Artificial Intelligence and Precision Health Through Lenses of Ethics and Social Determinants of Health: Protocol for a State-of-the-Art Literature Review. JMIR Research Protocols. 12. e40565–e40565. 2 indexed citations
9.
Stelzle, Dominik, Lien My Diep, Felix Sukums, et al.. (2022). Improving Health Knowledge Through Provision of Free Digital Health Education to Rural Communities in Iringa, Tanzania: Nonrandomized Intervention Study. Journal of Medical Internet Research. 24(7). e37666–e37666. 15 indexed citations
10.
Mwang’onde, Beda John, Bernard Ngowi, Felix Sukums, et al.. (2022). Porcine Cysticercosis Sero-prevalence and Factors Associated with its Occurrence in Southern Highlands, Tanzania. Scientific African. 17. e01382–e01382. 5 indexed citations
11.
Sukums, Felix, Helena Ngowi, Danica Radovanović, et al.. (2021). Development of Digital Health Messages for Rural Populations in Tanzania: Multi- and Interdisciplinary Approach. JMIR mhealth and uhealth. 9(9). e25558–e25558. 11 indexed citations
12.
Sukums, Felix, Bernard Ngowi, Lien My Diep, et al.. (2021). Digital Health Intervention to Increase Health Knowledge Related to Diseases of High Public Health Concern in Iringa, Tanzania: Protocol for a Mixed Methods Study. JMIR Research Protocols. 10(4). e25128–e25128. 10 indexed citations
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Sukums, Felix, et al.. (2020). Sub-Saharan Africa—the new breeding ground for global digital health. The Lancet Digital Health. 2(4). e160–e162. 70 indexed citations
15.
Noll, Josef, Sudhir Dixit, Felix Sukums, et al.. (2018). Internet Lite for Sustainable Development. Duo Research Archive (University of Oslo). 2018(1). 223–238. 1 indexed citations
16.
Duysburgh, Els, Siriel Massawe, Maxwell Ayindenaba Dalaba, et al.. (2017). Cost-effectiveness of an electronic clinical decision support system for improving quality of antenatal and childbirth care in rural Tanzania: an intervention study. BMC Health Services Research. 17(1). 537–537. 5 indexed citations
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Sukums, Felix, Nathan Kumasenu Mensah, Rose Mpembeni, et al.. (2015). Promising adoption of an electronic clinical decision support system for antenatal and intrapartum care in rural primary healthcare facilities in sub-Saharan Africa: The QUALMAT experience. International Journal of Medical Informatics. 84(9). 647–657. 51 indexed citations
19.
Dalaba, Maxwell Ayindenaba, Hengjin Dong, Melkizedeck Leshabari, et al.. (2015). Cost of installing and operating an electronic clinical decision support system for maternal health care: case of Tanzania rural primary health centres. BMC Health Services Research. 15(1). 132–132. 7 indexed citations
20.
Mensah, Nathan Kumasenu, Felix Sukums, Timothy Awine, et al.. (2015). Impact of an electronic clinical decision support system on workflow in antenatal care: the QUALMAT eCDSS in rural health care facilities in Ghana and Tanzania. Global Health Action. 8(1). 25756–25756. 38 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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