🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Henry Mwambi

University of KwaZulu-Natal

ORCID: 0000-0001-9654-400X
MathematicsMedicine

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 5%percentile
0.410Author DataRank

Indexed papers

2in pilot corpus
datarank_citation_only_1hop_v6· scope data_onlyMethodology
Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 2 indexed papers attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

Top data-sharing exemplar

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

Modelling CD4 counts before and after HAART for HIV infected patients in KwaZulu-Natal South Africa

African Health Sciences(2020)10.4314/ahs.v20i4.7
Top 65%
0.208DataRank
Top 65%3 citations

Sileshi Fanta Melesse, Henry Mwambi, Dawit Getnet Ayele, Ashenfai A Yirga

Papers

Driven by 9 papers — median percentile 35. Top paper: “Modelling CD4 counts before and after HAART for HIV infected patients in KwaZulu-Natal South Africa”.

Modelling CD4 counts before and after HAART for HIV infected patients in KwaZulu-Natal South Africa

African Health Sciences(2020)10.4314/ahs.v20i4.7
Top 65%
0.208DataRank
Top 65%3 citations

Sileshi Fanta Melesse, Henry Mwambi, Dawit Getnet Ayele, Ashenfai A Yirga

Spatio-temporal modelling of tick life-stage count data with spatially varying coefficients

Geospatial health(2021)10.4081/gh.2021.1004
Top 65%
0.202DataRank
Top 65%2 citations

Henry Mwambi, Oliver Bodhlyera, Holly Gaff, Thabo Lephoto

Additive quantile mixed effects modelling with application to longitudinal CD4 count data

Scientific Reports(2021)10.1038/s41598-021-97114-9
N/A
0DataRank · unranked
10 citations

Sileshi Fanta Melesse, Henry Mwambi, Dawit Getnet Ayele, Ashenafi Argaw Yirga

Diagnostics for a two-stage joint survival model

Communications in Statistics - Simulation and Computation(2021)10.1080/03610918.2021.1995751
N/A
0DataRank · unranked
0 citations

Henry Mwambi, Freedom Gumedze, Isaac Singini

Application of quantile mixed-effects model in modeling CD4 count from HIV-infected patients in KwaZulu-Natal South Africa

BMC Infectious Diseases(2022)10.1186/s12879-021-06942-7
N/A
0DataRank · unranked
2 citations

Sileshi Fanta Melesse, Henry Mwambi, Dawit Getnet Ayele, Ashenafi Argaw Yirga

A multivariate joint model to adjust for random measurement error while handling skewness and correlation in dietary data in an epidemiologic study of mortality

Annals of Epidemiology(2023)10.1016/j.annepidem.2023.03.007
N/A
0DataRank · unranked
1 citations

Leacky Muchene, Benedict Orindi, Terrence E. Murphy, Henry Mwambi, Heather Allore +1 more

Negative binomial mixed models for analyzing longitudinal CD4 count data

Scientific Reports(2020)10.1038/s41598-020-73883-7
N/A
0DataRank · unranked
66 citations

Sileshi Fanta Melesse, Henry Mwambi, Dawit Getnet Ayele, Ashenafi Argaw Yirga

Factors of acute respiratory infection among under-five children across sub-Saharan African countries using machine learning approaches

Scientific Reports(2024)10.1038/s41598-024-65620-1
N/A
0DataRank · unranked
12 citations

Temesgen Zewotir, Saloshni Naidoo, R Naidoo, Henry Mwambi, Haile Mekonnen Fenta

Joint modelling of longitudinal and time-to-event data: An illustration using CD4 count and mortality in a cohort of patients initiated on antiretroviral therapy

Research Square(2020)10.21203/rs.2.19995/v1
N/A
0DataRank · unranked
2 citations

Henry Mwambi, Tarylee Reddy, Nonhlanhla Yende‐Zuma, Kogieleum Naidoo, Nobuhle Mchunu