R. Higgins

420 total citations
9 papers, 289 citations indexed

About

R. Higgins is a scholar working on Agronomy and Crop Science, Plant Science and Genetics. According to data from OpenAlex, R. Higgins has authored 9 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Agronomy and Crop Science, 5 papers in Plant Science and 3 papers in Genetics. Recurrent topics in R. Higgins's work include Bioenergy crop production and management (3 papers), Soybean genetics and cultivation (3 papers) and Genetic Mapping and Diversity in Plants and Animals (3 papers). R. Higgins is often cited by papers focused on Bioenergy crop production and management (3 papers), Soybean genetics and cultivation (3 papers) and Genetic Mapping and Diversity in Plants and Animals (3 papers). R. Higgins collaborates with scholars based in United States. R. Higgins's co-authors include Patrick J. Brown, Carrie S. Thurber, Kyle Parmley, Asheesh K. Singh, Soumik Sarkar, Baskar Ganapathysubramanian, Fernando E. Miguez, Mariana V. Chiozza, Lawrent L. Buschman and P. E. Sloderbeck and has published in prestigious journals such as Scientific Reports, Genome biology and Frontiers in Plant Science.

In The Last Decade

R. Higgins

9 papers receiving 287 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
R. Higgins United States	6	225	135	92	36	32	9	289
Elmar A. Weissmann Germany	9	381 1.7×	230 1.7×	78 0.8×	32 0.9×	38 1.2×	11	420
Tina Henriksson Sweden	10	383 1.7×	79 0.6×	50 0.5×	32 0.9×	34 1.1×	17	409
Yuvraj Chopra United States	3	258 1.1×	104 0.8×	37 0.4×	16 0.4×	43 1.3×	4	283
Jesse Munkvold United States	11	401 1.8×	127 0.9×	87 0.9×	44 1.2×	8 0.3×	13	429
Gengshen Chen China	12	327 1.5×	181 1.3×	22 0.2×	56 1.6×	53 1.7×	18	387
Balpreet K. Dhatt United States	11	295 1.3×	96 0.7×	24 0.3×	65 1.8×	16 0.5×	16	326
Raeleen Jennings Australia	5	403 1.8×	63 0.5×	122 1.3×	22 0.6×	26 0.8×	7	424
Patrick Thorwarth Germany	13	391 1.7×	252 1.9×	89 1.0×	29 0.8×	33 1.0×	21	453
Kaio Olímpio das Graças Dias Brazil	12	408 1.8×	268 2.0×	81 0.9×	28 0.8×	20 0.6×	44	482
R. Nagaraja Reddy India	8	259 1.2×	214 1.6×	190 2.1×	26 0.7×	8 0.3×	16	314

Countries citing papers authored by R. Higgins

Since Specialization

Citations

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

Fields of papers citing papers by R. Higgins

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Higgins

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

All Works

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9 of 9 papers shown

1.

Chiozza, Mariana V., Kyle Parmley, R. Higgins, Asheesh K. Singh, & Fernando E. Miguez. (2021). Comparative prediction accuracy of hyperspectral bands for different soybean crop variables: From leaf area to seed composition. Field Crops Research. 271. 108260–108260. 34 indexed citations

2.

Parmley, Kyle, R. Higgins, Baskar Ganapathysubramanian, Soumik Sarkar, & Asheesh K. Singh. (2019). Machine Learning Approach for Prescriptive Plant Breeding. Scientific Reports. 9(1). 17132–17132. 67 indexed citations

3.

Jubery, Talukder Z., Johnathon M. Shook, Kyle Parmley, et al.. (2017). Deploying Fourier Coefficients to Unravel Soybean Canopy Diversity. Frontiers in Plant Science. 7. 19 indexed citations

4.

Higgins, R., et al.. (2014). Multiparental Mapping of Plant Height and Flowering Time QTL in Partially Isogenic Sorghum Families. G3 Genes Genomes Genetics. 4(9). 1593–1602. 50 indexed citations

5.

Higgins, R.. (2014). Genetic dissection of sorghum height and maturity variation using sorghum converted lines and their exotic progenitors. 2 indexed citations

6.

Thurber, Carrie S., et al.. (2013). Retrospective genomic analysis of sorghum adaptation to temperate-zone grain production. Genome biology. 14(6). R68–R68. 104 indexed citations

7.

Higgins, R., et al.. (2006). Preliminary Results of Use of a Mark-release-recapture Technique for Determining the Sphere of Influence of a Kairomone-baited Lure Trap Attractive to Adult Western Corn Rootworms (Coleoptera: Chrysomelidae). Journal of the Kansas Entomological Society. 79(1). 23–27. 3 indexed citations

8.

Higgins, R., et al.. (1999). CORN BORER RESISTANCE AND GRAIN YIELD FOR BT AND NON-BT CORN HYBRIDS, 1998. Arthropod management tests. 24(1). 8 indexed citations

9.

Buschman, Lawrent L., P. E. Sloderbeck, R. Higgins, & M. D. Witt. (1999). CORN BORER RESISTANCE AND GRAIN YIELD FOR BT AND NON-BT CORN HYBRIDS, 1998. Arthropod management tests. 24(1). 2 indexed citations

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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