R. J. Hecker

81 total papers · 589 total citations
58 papers, 409 citations indexed

About

R. J. Hecker is a scholar working on Plant Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, R. J. Hecker has authored 58 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Plant Science, 8 papers in Molecular Biology and 3 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in R. J. Hecker's work include Plant Disease Resistance and Genetics (26 papers), Plant Disease Management Techniques (23 papers) and Sugarcane Cultivation and Processing (18 papers). R. J. Hecker is often cited by papers focused on Plant Disease Resistance and Genetics (26 papers), Plant Disease Management Techniques (23 papers) and Sugarcane Cultivation and Processing (18 papers). R. J. Hecker collaborates with scholars based in United States, Spain and Australia. R. J. Hecker's co-authors include E. G. Ruppel, Phillip Fawell, Tony Jefferson, John Farrow, I. Romagosa, J. M. Lasa, T. Tsuchiya, Allan H. White, Leonard W. Panella and K.J. Cavell and has published in prestigious journals such as Journal of Chromatography A, Journal of Applied Polymer Science and Crop Science.

In The Last Decade

R. J. Hecker

56 papers receiving 342 citations

Author Peers

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

Author						Papers	Cites
R. J. Hecker	294	59	39	35	31	58	409
Е. А. Крылова	296 1.0×	63 1.1×	24 0.6×	33 0.9×	21 0.7×	43	445
Ichiro Goto	64 0.2×	21 0.4×	34 0.9×	11 0.3×	5 0.2×	73	419
Chunxin Yu	290 1.0×	86 1.5×	25 0.6×	10 0.3×	12 0.4×	29	399
Marie‐Claire Verdus	228 0.8×	79 1.3×	26 0.7×	3 0.1×	35 1.1×	32	454
G. Skrzypczak	310 1.1×	11 0.2×	21 0.5×	7 0.2×	29 0.9×	59	432
Zhenjiang Chen	92 0.3×	52 0.9×	83 2.1×	27 0.8×	2 0.1×	47	385
Cheng Bai	247 0.8×	126 2.1×	22 0.6×	6 0.2×	8 0.3×	27	420
Monika Tarnawska	157 0.5×	96 1.6×	33 0.8×	13 0.4×	9 0.3×	43	458
M. Jursík	311 1.1×	45 0.8×	18 0.5×	7 0.2×	3 0.1×	50	391
Ulrich Kull	282 1.0×	214 3.6×	74 1.9×	21 0.6×	3 0.1×	63	492

Countries citing papers authored by R. J. Hecker

Since Specialization

Citations

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

Fields of papers citing papers by R. J. Hecker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. J. Hecker. 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 R. J. Hecker. The network helps show where R. J. Hecker may publish in the future.

Co-authorship network of co-authors of R. J. Hecker

This figure shows the co-authorship network connecting the top 25 collaborators of R. J. Hecker. A scholar is included among the top collaborators of R. J. Hecker 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 R. J. Hecker. R. J. Hecker 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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