Benhildah Muchemwa

864 total citations · 2 hit papers
14 papers, 419 citations indexed

About

Benhildah Muchemwa is a scholar working on General Health Professions, Computer Networks and Communications and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Benhildah Muchemwa has authored 14 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in General Health Professions, 3 papers in Computer Networks and Communications and 3 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Benhildah Muchemwa's work include Child Nutrition and Water Access (2 papers), IoT and Edge/Fog Computing (2 papers) and Global Maternal and Child Health (2 papers). Benhildah Muchemwa is often cited by papers focused on Child Nutrition and Water Access (2 papers), IoT and Edge/Fog Computing (2 papers) and Global Maternal and Child Health (2 papers). Benhildah Muchemwa collaborates with scholars based in Eswatini, South Africa and Lesotho. Benhildah Muchemwa's co-authors include Elliot Mbunge, John Batani, Goabaone Gaobotse, Maureen Nokuthula Sibiya, Stephen Gbenga Fashoto, Richard Millham, Tafadzwa Dzinamarira, Munyaradzi Mapingure, Itai Chitungo and Grant Murewanhema and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors International and Global Health Journal.

In The Last Decade

Benhildah Muchemwa

13 papers receiving 399 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Sensors and healthcare 5.0: transformative shift in virtual care through emerging digital health technologies

2021 154 citations Elliot Mbunge, Benhildah Muchemwa et al. Global Health Journal profile →
Virtual healthcare services and digital health technologies deployed during coronavirus disease 2019 (COVID-19) pandemic in South Africa: a systematic review

2022 108 citations Elliot Mbunge, John Batani et al. Global Health Journal profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Benhildah Muchemwa Eswatini	8	89	80	69	55	55	14	419
John Batani Lesotho	11	120 1.3×	90 1.1×	107 1.6×	60 1.1×	81 1.5×	29	542
Nasim Aslani Iran	10	91 1.0×	85 1.1×	51 0.7×	24 0.4×	46 0.8×	28	399
Marsa Gholamzadeh Iran	10	65 0.7×	56 0.7×	51 0.7×	25 0.5×	83 1.5×	35	423
Sokratis Nifakos Sweden	8	51 0.6×	50 0.6×	144 2.1×	46 0.8×	62 1.1×	17	400
Samaneh Madanian New Zealand	11	80 0.9×	45 0.6×	107 1.6×	103 1.9×	80 1.5×	53	556
Saira Ghafur United Kingdom	10	177 2.0×	167 2.1×	119 1.7×	46 0.8×	46 0.8×	41	549
Pekka Ruotsalainen Finland	12	81 0.9×	92 1.1×	97 1.4×	24 0.4×	104 1.9×	62	460
Stathis Konstantinidis United Kingdom	12	101 1.1×	52 0.7×	54 0.8×	11 0.2×	77 1.4×	74	487
Stefano Bonacina Italy	11	106 1.2×	75 0.9×	105 1.5×	47 0.9×	41 0.7×	46	450
Abdulellah A. Alaboudi Saudi Arabia	8	63 0.7×	78 1.0×	91 1.3×	91 1.7×	69 1.3×	17	397

Countries citing papers authored by Benhildah Muchemwa

Since Specialization

Citations

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

Fields of papers citing papers by Benhildah Muchemwa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benhildah Muchemwa

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

All Works

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14 of 14 papers shown

Mbunge, Elliot, Tafadzwa Dzinamarira, Godfrey Musuka, et al.. (2025). Socioeconomic and demographic factors associated with anaemia among women of reproductive age in Zimbabwe: a supervised machine learning approach. Discover Public Health. 22(1).

Mbunge, Elliot, et al.. (2024). Determinants of under-five mortality in Zimbabwe: Evidence from the 2015–2016 Zimbabwe demographic Health Survey data. SHILAP Revista de lepidopterología. 2(1). 1–8. 1 indexed citations

Mbunge, Elliot, Innocent Chingombe, Munyaradzi Mapingure, et al.. (2024). Predicting sexually transmitted infections among men who have sex with men in Zimbabwe using deep learning and ensemble machine learning models. SHILAP Revista de lepidopterología. 3(7). e0000541–e0000541. 1 indexed citations

Dzinamarira, Tafadzwa, Elliot Mbunge, Innocent Chingombe, et al.. (2024). Using machine learning models to plan HIV services: Emerging opportunities in design, implementation and evaluation. SHILAP Revista de lepidopterología. 1 indexed citations

Mbunge, Elliot, et al.. (2023). Implementation of ensemble machine learning classifiers to predict diarrhoea with SMOTEENN, SMOTE, and SMOTETomek class imbalance approaches. 1–6. 6 indexed citations

Mbunge, Elliot, et al.. (2023). A review of deep learning models to detect malware in Android applications. SHILAP Revista de lepidopterología. 1. 100014–100014. 11 indexed citations

Mbunge, Elliot, Stephen Gbenga Fashoto, Benhildah Muchemwa, et al.. (2023). Application of machine learning techniques for predicting child mortality and identifying associated risk factors. 1–5. 6 indexed citations

Gaobotse, Goabaone, Elliot Mbunge, John Batani, & Benhildah Muchemwa. (2022). The future of smart implants towards personalized and pervasive healthcare in Sub-Saharan Africa: Opportunities, barriers and policy recommendations. Sensors International. 3. 100173–100173. 10 indexed citations

Gaobotse, Goabaone, Elliot Mbunge, John Batani, & Benhildah Muchemwa. (2022). Non-invasive smart implants in healthcare: Redefining healthcare services delivery through sensors and emerging digital health technologies. Sensors International. 3. 100156–100156. 27 indexed citations

10.

Mbunge, Elliot, John Batani, Goabaone Gaobotse, & Benhildah Muchemwa. (2022). Virtual healthcare services and digital health technologies deployed during coronavirus disease 2019 (COVID-19) pandemic in South Africa: a systematic review. Global Health Journal. 6(2). 102–113. 108 indexed citations breakdown →

11.

Batani, John, et al.. (2022). A Review of Deep Learning Models for Detecting Cyberbullying on Social Media Networks. Lecture notes in networks and systems. 528–550. 10 indexed citations

12.

Mbunge, Elliot, et al.. (2021). Towards emotive sensory Web in virtual health care: Trends, technologies, challenges and ethical issues. Sensors International. 3. 100134–100134. 31 indexed citations

13.

Mbunge, Elliot, Benhildah Muchemwa, & John Batani. (2021). Are we there yet? Unbundling the potential adoption and integration of telemedicine to improve virtual healthcare services in African health systems. Sensors International. 3. 100152–100152. 53 indexed citations

14.

Mbunge, Elliot, et al.. (2021). Sensors and healthcare 5.0: transformative shift in virtual care through emerging digital health technologies. Global Health Journal. 5(4). 169–177. 154 indexed citations breakdown →

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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