John P. Doll

457 citations
19 papers · 277 · h-index 8

Impact in

Papers in

John P. Doll

14 papers receiving 200 citations

Peers

John P. Doll
Comparison fields: 5 of 66
  • General Agricultural and Biological Sciences 83
  • Soil Science 50
  • Economics and Econometrics 112
  • Global and Planetary Change 55
  • Agronomy and Crop Science 24
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John P. Doll relative to Richard A. Schoney Canada Richard A. Schoney's profile →
Citations per field
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Richard A. Schoney · 1×
Citations per year

Countries citing papers authored by John P. Doll

Since Specialization
Citations

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

Fields of papers citing papers by John P. Doll

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John P. Doll. 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 John P. Doll. The network helps show where John P. Doll may publish in the future.

Co-authors

The 5 scholars most cited alongside John P. Doll, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with John P. Doll Line = papers co-authored together John P. Doll links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 1979123
2 199133
3 197223
4 196721
5 197417
6 197113
7 197410
8 19889
9 19726
10 19706
11 19816
12 19744
13
Fertilizer production functions for corn and oats; Including an analysis of irrigated and residual response
19582
14 19672
15
An economic analysis of alternative beef cattle systems for a large farm in central Missouri
19651
16 19821
17
Weather variability and economic analysis
20160
18
Production surfaces and economic optima for corn yields with respect to stand and nitrogen levels
20170
19 19600

About John P. Doll

John P. Doll is a scholar working on Economics and Econometrics, General Agricultural and Biological Sciences, Global and Planetary Change, Soil Science and Agronomy and Crop Science, having authored 19 papers that have together received 277 indexed citations. Recurring topics across this work include Economics of Agriculture and Food Markets (5 papers), Agricultural Economics and Policy (5 papers), Crop Yield and Soil Fertility (2 papers), Agricultural risk and resilience (2 papers), Economic and Environmental Valuation (2 papers), Hydrology and Drought Analysis (2 papers), Plant Water Relations and Carbon Dynamics (1 paper) and Water resources management and optimization (1 paper). The work is most often cited by research in General Agricultural and Biological Sciences (83 citations), Soil Science (50 citations), Economics and Econometrics (112 citations), Global and Planetary Change (55 citations) and Agronomy and Crop Science (24 citations). John P. Doll has collaborated with scholars based in United States. Frequent co-authors include James K. Whittaker, L. Allen Torell, Earl O. Heady, John Pesek and Robert D. Munson. Their work appears in journals such as American Journal of Agricultural Economics, The American Statistician, Marine Resource Economics, Journal of agricultural and resource economics and AgEcon Search (University of Minnesota, USA).

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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