Agricultural Economics - Google Scholar Metrics

h5-index:34
h5-median:53

h5-index is the h-index for articles published in the last 5 complete years. It is the largest number h such that h articles published in 2014-2018 have at least h citations each.hide

h5-median for a publication is the median number of citations for the articles that make up its h5-index.hide

#19 Business, Economics & Management (general)

Title / Author	Cited by	Year
The future of food demand: understanding differences in global economic models H Valin, RD Sands, D van der Mensbrugghe, GC Nelson, H Ahammad, ... Agricultural Economics 45 (1), 51-67	192	2014
Land‐use change trajectories up to 2050: insights from a global agro‐economic model comparison C Schmitz, H van Meijl, P Kyle, GC Nelson, S Fujimori, A Gurgel, P Havlik, ... Agricultural Economics 45 (1), 69-84	190	2014
Why do global long‐term scenarios for agriculture differ? An overview of the AgMIP Global Economic Model Intercomparison M von Lampe, D Willenbockel, H Ahammad, E Blanc, Y Cai, K Calvin, ... Agricultural Economics 45 (1), 3-20	172	2014
Agriculture and climate change in global scenarios: why don't the models agree GC Nelson, D van der Mensbrugghe, H Ahammad, E Blanc, K Calvin, ... Agricultural Economics 45 (1), 85-101	172	2014
Projecting future crop productivity for global economic modeling C Müller, RD Robertson Agricultural Economics 45 (1), 37-50	159	2014
Should African rural development strategies depend on smallholder farms? An exploration of the inverse‐productivity hypothesis DF Larson, K Otsuka, T Matsumoto, T Kilic Agricultural Economics 45 (3), 355-367	142	2014
Impacts of increased bioenergy demand on global food markets: an AgMIP economic model intercomparison H Lotze‐Campen, M von Lampe, P Kyle, S Fujimori, P Havlik, H van Meijl, ... Agricultural Economics 45 (1), 103-116	98	2014
Decomposition of gender differentials in agricultural productivity in Ethiopia A Aguilar, E Carranza, M Goldstein, T Kilic, G Oseni Agricultural Economics 46 (3), 311-334	88	2015
Gender inequalities in ownership and control of land in Africa: myth and reality C Doss, C Kovarik, A Peterman, A Quisumbing, M van den Bold Agricultural Economics 46 (3), 403-434	79	2015
Agricultural production and children's diets: evidence from rural Ethiopia K Hirvonen, J Hoddinott Agricultural Economics 48 (4), 469-480	79	2017
Social capital, risk preference and adoption of improved farm land management practices in Ethiopia T Wossen, T Berger, S Di Falco Agricultural Economics 46 (1), 81-97	76	2015
Africa's changing farm size distribution patterns: the rise of medium‐scale farms TS Jayne, J Chamberlin, L Traub, N Sitko, M Muyanga, FK Yeboah, ... Agricultural Economics 47 (S1), 197-214	74	2016
Smallholder cooperatives and agricultural performance in Rwanda: do organizational differences matter? E Verhofstadt, M Maertens Agricultural Economics 45 (S1), 39-52	69	2014
Explaining gender differentials in agricultural production in Nigeria G Oseni, P Corral, M Goldstein, P Winters Agricultural Economics 46 (3), 285-310	66	2015
Will digital technologies transform agriculture in developing countries? U Deichmann, A Goyal, D Mishra Agricultural Economics 47 (S1), 21-33	63	2016
Comparing supply‐side specifications in models of global agriculture and the food system S Robinson, H van Meijl, D Willenbockel, H Valin, S Fujimori, T Masui, ... Agricultural Economics 45 (1), 21-35	57	2014
Ex post impacts of improved maize varieties on poverty in rural Ethiopia D Zeng, J Alwang, GW Norton, B Shiferaw, M Jaleta, C Yirga Agricultural Economics 46 (4), 515-526	53	2015
The promise (and pitfalls) of ICT for agriculture initiatives JC Aker, I Ghosh, J Burrell Agricultural Economics 47 (S1), 35-48	53	2016
Do farm operators benefit from direct to consumer marketing strategies? T Park, AK Mishra, SJ Wozniak Agricultural Economics 45 (2), 213-224	52	2014
Food security as resilience: reconciling definition and measurement JB Upton, JD Cissé, CB Barrett Agricultural Economics 47 (S1), 135-147	45	2016

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Dates and citation counts are estimated and are determined automatically by a computer program.