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.
Effects of a mobile phone short message service on antiretroviral treatment adherence in Kenya (WelTel Kenya1): a randomised trial
2010989 citationsRichard Lester, Paul Ritvo et al.The Lancetprofile →
Risk Sharing and Transactions Costs: Evidence from Kenya's Mobile Money Revolution
This map shows the geographic impact of William Jack'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 William Jack with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Jack more than expected).
This network shows the impact of papers produced by William Jack. 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 William Jack. The network helps show where William Jack may publish in the future.
Co-authorship network of co-authors of William Jack
This figure shows the co-authorship network connecting the top 25 collaborators of William Jack.
A scholar is included among the top collaborators of William Jack 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 William Jack. William Jack is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Habyarimana, James & William Jack. (2014). State versus Consumer Regulation: An Evaluation of Two Road Safety Interventions in Kenya. National Bureau of Economic Research. 307–330.1 indexed citations
3.
Jack, William. (2012). Public Intervention in Health Insurance Markets. The World Bank Research Observer.
4.
Jack, William. (2012). Social Investment Funds. The World Bank Research Observer.
5.
Jack, William, Tavneet Suri, & Robert M. Townsend. (2010). Monetary Theory and Electronic Money: Reflections on the Kenyan Experience. DSpace@MIT (Massachusetts Institute of Technology). 96(1). 83–122.29 indexed citations
6.
Lester, Richard, Paul Ritvo, Edward J. Mills, et al.. (2010). Effects of a mobile phone short message service on antiretroviral treatment adherence in Kenya (WelTel Kenya1): a randomised trial. The Lancet. 376(9755). 1838–1845.989 indexed citations breakdown →
7.
Hanson, Kara & William Jack. (2008). Health worker preferences for job attributes in Ethiopia : results from a discrete choice experiment. SSRN Electronic Journal. 1–34.33 indexed citations
8.
Laat, Joost de & William Jack. (2008). Adverse Selection and Career Outcomes in the Ethiopian Physician Labor Market. RePEc: Research Papers in Economics.1 indexed citations
Brun, Jean‐François, Patrick Guillaumont, J. Paul Gibson, et al.. (2005). The World Bank economic review 19 (1). The World Bank Economic Review. 19. 1–143.2 indexed citations
Devarajan, Shantayanan, Fabrizio Bresciani, Gershon Feder, et al.. (2002). The World Bank research observer 17 (1). The World Bank Research Observer. 17. 1–148.2 indexed citations
14.
Jack, William. (2001). Public Policy toward Non-Governmental Organizations in Developing Countries. SSRN Electronic Journal.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.