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.
This map shows the geographic impact of Darrel Good'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 Darrel Good with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Darrel Good more than expected).
This network shows the impact of papers produced by Darrel Good. 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 Darrel Good. The network helps show where Darrel Good may publish in the future.
Co-authorship network of co-authors of Darrel Good
This figure shows the co-authorship network connecting the top 25 collaborators of Darrel Good.
A scholar is included among the top collaborators of Darrel Good 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 Darrel Good. Darrel Good 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.
Good, Darrel & Scott H. Irwin. (2017). Revisiting the Estimation of Biomass-Based Diesel Supply Curves. farmdoc daily. 7.1 indexed citations
2.
Good, Darrel, et al.. (2017). U.S. Soybean Yield Trends for Irrigated and Non-Irrigated Production. farmdoc daily. 7.6 indexed citations
Good, Darrel & Scott H. Irwin. (2015). The Acreage Puzzle. farmdoc daily. 5.
6.
Good, Darrel & Scott H. Irwin. (2015). The EPA's Proposed Ethanol Mandates for 2014, 2015, and 2016: Is There a 'Push' or Not?. farmdoc daily.4 indexed citations
7.
Good, Darrel & Scott H. Irwin. (2014). Who Wins if the EPA Reverses Itself on the Write Down of the Renewable Mandate in 2014. farmdoc daily.4 indexed citations
8.
Good, Darrel, et al.. (2014). IFES 2014: Can One Monster Crop End the New Era of Grain Prices?. farmdoc daily.1 indexed citations
9.
Good, Darrel. (2014). Monitoring Corn and Soybean Consumption. farmdoc daily.
10.
Good, Darrel & Scott H. Irwin. (2014). The Role of Sampling Errors in Explaining Recent Surprises in USDA Corn Stocks Estimates: Part I. farmdoc daily.1 indexed citations
11.
Good, Darrel & Scott H. Irwin. (2013). Recent Trends in Biodiesel Prices and Production Profits. farmdoc daily.4 indexed citations
12.
Good, Darrel & Scott H. Irwin. (2013). Rapid Corn Planting Progress, But Well Below the Record Pace. farmdoc daily.2 indexed citations
13.
Good, Darrel & Scott H. Irwin. (2013). Potential Impact of Alternative RFS Outcomes for 2014 and 2015. farmdoc daily.6 indexed citations
14.
Good, Darrel & Scott H. Irwin. (2013). Expanding the Ethanol Blend Wall - a Role for E85?. farmdoc daily.1 indexed citations
15.
Good, Darrel & Scott H. Irwin. (2012). What is a Reasonable Starting Point for Estimating the U.S. Corn Yield in 2012. farmdoc daily.2 indexed citations
16.
Good, Darrel & Scott H. Irwin. (2012). Is the Long Ethanol Boom Coming to a Close. farmdoc daily. 2.3 indexed citations
17.
Good, Darrel & Scott H. Irwin. (2012). Where Should We Be Now With Corn Yield Expectations. farmdoc daily.2 indexed citations
18.
Good, Darrel & Scott H. Irwin. (2011). Livestock/Corn Price Ratios in the New Era. farmdoc daily.1 indexed citations
19.
Good, Darrel & Scott H. Irwin. (2011). A New Era in Real Agricultural Prices. farmdoc daily.1 indexed citations
20.
Pennings, J.M.E., Scott H. Irwin, & Darrel Good. (2002). Surveying Farmers: A Case Study. SSRN Electronic Journal.
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.