Stan G. Daberkow

65 total papers · 1.0k total citations
30 papers, 719 citations indexed

About

Stan G. Daberkow is a scholar working on General Agricultural and Biological Sciences, Economics and Econometrics and Plant Science. According to data from OpenAlex, Stan G. Daberkow has authored 30 papers receiving a total of 719 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in General Agricultural and Biological Sciences, 7 papers in Economics and Econometrics and 6 papers in Plant Science. Recurrent topics in Stan G. Daberkow's work include Agricultural Innovations and Practices (6 papers), Agricultural Economics and Policy (6 papers) and Smart Agriculture and AI (3 papers). Stan G. Daberkow is often cited by papers focused on Agricultural Innovations and Practices (6 papers), Agricultural Economics and Policy (6 papers) and Smart Agriculture and AI (3 papers). Stan G. Daberkow collaborates with scholars based in United States and Thailand. Stan G. Daberkow's co-authors include William D. McBride, Jorge Fernandez‐Cornejo, Katherine H. Reichelderfer, P. C. Robert, R. H. Rust, W. E. Larson, Charles H. Barnard, Mark E. Smith, Terry Griffin and James Lowenberg‐DeBoer and has published in prestigious journals such as The Science of The Total Environment, Public Administration Review and American Journal of Agricultural Economics.

In The Last Decade

Stan G. Daberkow

26 papers receiving 597 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Stan G. Daberkow	377	274	136	79	79	30	719
Yeong Sheng Tey	320 0.8×	309 1.1×	97 0.7×	57 0.7×	42 0.5×	36	894
Asghar Bagheri	260 0.7×	325 1.2×	90 0.7×	53 0.7×	56 0.7×	36	861
Jeanne M. Reeves	333 0.9×	292 1.1×	79 0.6×	27 0.3×	46 0.6×	32	629
Mark Brindal	304 0.8×	292 1.1×	86 0.6×	53 0.7×	37 0.5×	27	820
Jorge Ruiz‐Menjivar	217 0.6×	186 0.7×	158 1.2×	110 1.4×	94 1.2×	31	880
Francis R. Eanes	305 0.8×	180 0.7×	167 1.2×	83 1.1×	111 1.4×	19	751
Hildo Meirelles de Souza Filho	290 0.8×	168 0.6×	128 0.9×	41 0.5×	92 1.2×	50	651
Margarita Velandia	241 0.6×	259 0.9×	108 0.8×	74 0.9×	194 2.5×	53	643
Timothy Kelley	225 0.6×	197 0.7×	104 0.8×	59 0.7×	86 1.1×	42	695
Markus Gandorfer	195 0.5×	209 0.8×	78 0.6×	118 1.5×	159 2.0×	49	715

Countries citing papers authored by Stan G. Daberkow

Since Specialization

Citations

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

Fields of papers citing papers by Stan G. Daberkow

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stan G. Daberkow. 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 Stan G. Daberkow. The network helps show where Stan G. Daberkow may publish in the future.

Co-authorship network of co-authors of Stan G. Daberkow

This figure shows the co-authorship network connecting the top 25 collaborators of Stan G. Daberkow. A scholar is included among the top collaborators of Stan G. Daberkow 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 Stan G. Daberkow. Stan G. Daberkow is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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