David Mather

1.6k total citations
38 papers, 802 citations indexed

About

David Mather is a scholar working on General Agricultural and Biological Sciences, Economics and Econometrics and Soil Science. According to data from OpenAlex, David Mather has authored 38 papers receiving a total of 802 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in General Agricultural and Biological Sciences, 17 papers in Economics and Econometrics and 10 papers in Soil Science. Recurrent topics in David Mather's work include Agricultural Innovations and Practices (21 papers), Microfinance and Financial Inclusion (8 papers) and Agricultural risk and resilience (6 papers). David Mather is often cited by papers focused on Agricultural Innovations and Practices (21 papers), Microfinance and Financial Inclusion (8 papers) and Agricultural risk and resilience (6 papers). David Mather collaborates with scholars based in United States, Canada and South Africa. David Mather's co-authors include Thomas S. Jayne, Elliot Mghenyi, Nicole M. Mason, Duncan Boughton, Jacob Ricker‐Gilbert, Rui Benfica, Benedito Cunguara, Christopher B. Barrett, David Tschirley and Danielle Resnick and has published in prestigious journals such as World Development, Energy and Buildings and American Journal of Agricultural Economics.

In The Last Decade

David Mather

32 papers receiving 686 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Mather United States 12 493 244 232 110 99 38 802
Bola Amoke Awotide Nigeria 14 506 1.0× 275 1.1× 231 1.0× 87 0.8× 68 0.7× 40 816
Kai Mausch Kenya 18 594 1.2× 218 0.9× 170 0.7× 130 1.2× 99 1.0× 54 1.0k
Paul Kwame Nkegbe Ghana 17 407 0.8× 304 1.2× 184 0.8× 79 0.7× 52 0.5× 44 808
Isabel Lambrecht United States 15 494 1.0× 339 1.4× 275 1.2× 96 0.9× 90 0.9× 35 1.0k
Daniel Bruce Sarpong Ghana 19 336 0.7× 225 0.9× 207 0.9× 80 0.7× 52 0.5× 79 1.0k
Milu Muyanga United States 17 633 1.3× 166 0.7× 476 2.1× 77 0.7× 71 0.7× 47 1.1k
Sam Desiere Belgium 16 349 0.7× 177 0.7× 196 0.8× 65 0.6× 61 0.6× 32 894
Edilegnaw Wale South Africa 18 409 0.8× 212 0.9× 183 0.8× 106 1.0× 43 0.4× 67 961
André Croppenstedt Italy 10 513 1.0× 314 1.3× 307 1.3× 70 0.6× 151 1.5× 16 1.0k
Gashaw Tadesse Abate United States 17 489 1.0× 477 2.0× 257 1.1× 78 0.7× 50 0.5× 36 1.0k

Countries citing papers authored by David Mather

Since Specialization
Citations

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

Fields of papers citing papers by David Mather

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Mather

This figure shows the co-authorship network connecting the top 25 collaborators of David Mather. A scholar is included among the top collaborators of David Mather 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 David Mather. David Mather 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
1.
2.
Mahrt, Kristi, et al.. (2019). Household Dietary Patterns and the Cost of a Nutritious Diet in Myanmar. AgEcon Search (University of Minnesota, USA). 6 indexed citations
3.
Mason, Nicole M., et al.. (2019). Smallholder Maize Market Participation and Choice of Marketing Channel in the Presence of Liquidity Constraints: Evidence from Zambia. AgEcon Search (University of Minnesota, USA). 2 indexed citations
4.
Mather, David & Thomas S. Jayne. (2018). Fertilizer subsidies and the role of targeting in crowding out: evidence from Kenya. Food Security. 10(2). 397–417. 20 indexed citations
5.
Resnick, Danielle, Steven Haggblade, Suresh Chandra Babu, Sheryl L. Hendriks, & David Mather. (2018). The Kaleidoscope Model of policy change: Applications to food security policy in Zambia. World Development. 109. 101–120. 35 indexed citations
6.
Haggblade, Steven, et al.. (2017). What Drives Policy Change? Evidence from Six Empirical Applications of the Kaleidoscope Model. AgEcon Search (University of Minnesota, USA).
7.
Resnick, Danielle, et al.. (2016). AGRICULTURAL INPUTS POLICY UNDER MACROECONOMIC UNCERTAINTY: APPLYING THE KALEIDOSCOPE MODEL TO GHANA’S FERTILIZER SUBSIDY PROGRAMME (2008–2015). AgEcon Search (University of Minnesota, USA). 4 indexed citations
8.
Cunguara, Benedito, et al.. (2016). Exploiting the potential for expanding cropped area using animal traction in the smallholder sector in Mozambique. AgEcon Search (University of Minnesota, USA). 1 indexed citations
9.
Mather, David, et al.. (2016). ASSESSING THE DRIVERS OF TANZANIA’S FERTILIZER SUBSIDY PROGRAMS FROM 2003-2016: AN APPLICATION OF THE KALEIDOSCOPE MODEL OF POLICY CHANGE. AgEcon Search (University of Minnesota, USA). 3 indexed citations
10.
11.
Resnick, Danielle, et al.. (2015). CONCEPTUALIZING DRIVERS OF POLICY CHANGE IN AGRICULTURE, NUTRITION, AND FOOD SECURITY: THE KALEIDOSCOPE MODEL. AgEcon Search (University of Minnesota, USA). 18 indexed citations
12.
Mather, David, Duncan Boughton, & Thomas S. Jayne. (2013). Explaining smallholder maize marketing in southern and eastern Africa: The roles of market access, technology and household resource endowments. Food Policy. 43. 248–266. 45 indexed citations
13.
Jayne, Thomas S., David Mather, Nicole M. Mason, & Jacob Ricker‐Gilbert. (2013). How do fertilizer subsidy programs affect total fertilizer use in sub‐Saharan Africa? Crowding out, diversion, and benefit/cost assessments. Agricultural Economics. 44(6). 687–703. 90 indexed citations
14.
Benfica, Rui & David Mather. (2013). AGRICULTURAL MARKETING AND DEVELOPMENT IN MOZAMBIQUE: RESEARCH FINDINGS AND POLICY IMPLICATIONS. 4 indexed citations
15.
Jayne, Thomas S., David Mather, & Elliot Mghenyi. (2010). Principal Challenges Confronting Smallholder Agriculture in Sub-Saharan Africa. World Development. 38(10). 1384–1398. 296 indexed citations
16.
Mather, David, Cynthia Donovan, & Duncan Boughton. (2009). Medição do Impacto dos Bens Públicos e Privados sobre os Rendimentos Familiares Provenientes de Culturas em Moçambique Rural, 2002-2005. RePEc: Research Papers in Economics. 1 indexed citations
17.
Boughton, Duncan, David Mather, Christopher B. Barrett, et al.. (2007). Market Participation by Rural Households in a Low-Income Country: An Asset-Based Approach Applied to Mozambique. SSRN Electronic Journal. 124 indexed citations
18.
Mather, David, Cynthia Donovan, Thomas S. Jayne, & Michael T. Weber. (2005). Using Empirical Information in the Era of HIV/AIDS to Inform Mitigation and Rural Development Strategies: Selected Results from African Country Studies. American Journal of Agricultural Economics. 87(5). 1289–1297. 11 indexed citations
19.
Mather, David & Elliot Mghenyi. (2005). Smallholder Farming In Difficult Circumstances: Policy Issues for Africa. 14 indexed citations
20.
Reed, Michael R., et al.. (1992). MARKET ASSESSMENT MODELS FOR U.S. AGRICULTURAL EXPORTS. Journal of food distribution research. 23(1). 119. 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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