Ronald S. Carson

1.3k total citations
51 papers, 1.1k citations indexed

About

Ronald S. Carson is a scholar working on Public Health, Environmental and Occupational Health, Control and Systems Engineering and Agronomy and Crop Science. According to data from OpenAlex, Ronald S. Carson has authored 51 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Public Health, Environmental and Occupational Health, 11 papers in Control and Systems Engineering and 11 papers in Agronomy and Crop Science. Recurrent topics in Ronald S. Carson's work include Reproductive Biology and Fertility (18 papers), Reproductive Physiology in Livestock (11 papers) and Systems Engineering Methodologies and Applications (9 papers). Ronald S. Carson is often cited by papers focused on Reproductive Biology and Fertility (18 papers), Reproductive Physiology in Livestock (11 papers) and Systems Engineering Methodologies and Applications (9 papers). Ronald S. Carson collaborates with scholars based in Australia, United States and Canada. Ronald S. Carson's co-authors include Henry Burger, J. K. Findlay, Alan Trounson, Jock K. Findlay, J. K. Findlay, Adrian C. Herington, Iain J. Clarke, C. G. Tsonis, Zhiwen Zhang and JoAnne S. Richards and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Endocrinology and Human Reproduction.

In The Last Decade

Ronald S. Carson

50 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ronald S. Carson Australia 17 568 362 328 220 215 51 1.1k
B. K. Campbell United Kingdom 26 1.3k 2.4× 697 1.9× 1.2k 3.7× 777 3.5× 327 1.5× 74 2.3k
X. Yang United States 20 1.1k 1.9× 470 1.3× 244 0.7× 480 2.2× 751 3.5× 74 1.5k
Lin Pan China 11 116 0.2× 76 0.2× 72 0.2× 262 1.2× 433 2.0× 28 1.4k
Yuji Hirao Japan 19 1.4k 2.4× 770 2.1× 105 0.3× 275 1.3× 942 4.4× 74 1.7k
Carol Hanna United States 15 407 0.7× 356 1.0× 24 0.1× 92 0.4× 259 1.2× 54 842
Carlos E. Plancha Portugal 18 980 1.7× 810 2.2× 36 0.1× 296 1.3× 627 2.9× 34 1.4k
Carol Lynn Curchoe United States 17 299 0.5× 177 0.5× 13 0.0× 165 0.8× 247 1.1× 32 739
Won Don Lee South Korea 16 477 0.8× 441 1.2× 16 0.0× 56 0.3× 120 0.6× 54 658
Hoang Vu Dang Vietnam 17 43 0.1× 39 0.1× 145 0.4× 123 0.6× 118 0.5× 56 781
Dominique Mercier France 14 94 0.2× 12 0.0× 58 0.2× 392 1.8× 216 1.0× 33 898

Countries citing papers authored by Ronald S. Carson

Since Specialization
Citations

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

Fields of papers citing papers by Ronald S. Carson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ronald S. Carson. 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 Ronald S. Carson. The network helps show where Ronald S. Carson may publish in the future.

Co-authorship network of co-authors of Ronald S. Carson

This figure shows the co-authorship network connecting the top 25 collaborators of Ronald S. Carson. A scholar is included among the top collaborators of Ronald S. Carson 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 Ronald S. Carson. Ronald S. Carson 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.
Carson, Ronald S. & Robert A. Noel. (2018). Formalizing Requirements Verification and Validation. INCOSE International Symposium. 28(1). 805–818. 2 indexed citations
2.
Carson, Ronald S., et al.. (2013). 9.5.2 New Opportunities for Architecture Measurement. INCOSE International Symposium. 23(1). 271–276. 1 indexed citations
3.
Carson, Ronald S., et al.. (2012). 4.5.3 Model‐Based Systems Engineering in an Integrated Environment. INCOSE International Symposium. 22(1). 633–649. 3 indexed citations
4.
Carson, Ronald S., et al.. (2001). Requirements completeness: Absolute or relative? Comments on System function implementation and behavioral modeling[Syst Eng 4 (2001), 58-75]: Correspondence. Systems Engineering. 4(3). 230–231. 5 indexed citations
5.
Carson, Ronald S.. (1998). 1.6.4 Requirements Completeness: A Deterministic Approach. INCOSE International Symposium. 8(1). 738–746. 22 indexed citations
6.
Oates, Robert D., et al.. (1996). Efficacy of intracytoplasmic sperm injection using intentionally cryopreserved epididymal spermatozoa. Human Reproduction. 11(1). 133–138. 71 indexed citations
7.
Carson, Ronald S.. (1995). 7.3.3 A SET THEORY MODEL FOR ANOMALY HANDLING IN SYSTEM REQUIREMENTS ANALYSIS. INCOSE International Symposium. 5(1). 557–563. 11 indexed citations
8.
MacIsaac, R. J., et al.. (1990). Premature birth of live lambs induced by pulsatile infusion of ACTH. Journal of Endocrinology. 124(1). 99–107. 3 indexed citations
9.
Carson, Ronald S., et al.. (1989). Growth factors in ovarian function. Reproduction. 85(2). 735–746. 55 indexed citations
10.
11.
Carson, Ronald S., et al.. (1988). Ovarian inhibin content in immature female rats following hypophysectomy: control by exogenous gonadotrophins. Journal of Endocrinology. 119(2). 185–189. 7 indexed citations
12.
Carson, Ronald S., et al.. (1988). Selective control of rat granulosa cell inhibin production by FSH and LH in vitro. Molecular and Cellular Endocrinology. 56(1-2). 35–40. 31 indexed citations
13.
Zhang, Zhiwen, Jock K. Findlay, Ronald S. Carson, Adrian C. Herington, & Henry Burger. (1988). Transforming growth factor β enhances basal and FSH-stimulated inhibin production by rat granulosa cells in vitro. Molecular and Cellular Endocrinology. 58(2-3). 161–166. 35 indexed citations
14.
Carson, Ronald S., D.M. Robertson, & J. K. Findlay. (1988). Ovine follicular fluid inhibits thymidine incorporation by 3T3 fibroblasts in vitro. Reproduction. 82(2). 447–455. 11 indexed citations
15.
Davis, Susan R., Ronald S. Carson, Zygmunt S. Krozowski, & Henry Burger. (1988). The effect of hypophysectomy on inhibin production by adult rat ovaries: Changes in ovarian inhibin gene expression and serum inhibin. Gynecological Endocrinology. 2(3). 223–232. 6 indexed citations
16.
Williamson, Paula, et al.. (1987). Response of prepubertal ewes primed with monensin or progesterone to administration of FSH. Reproduction. 81(2). 317–325. 4 indexed citations
17.
Atkinson, Shannon, et al.. (1986). Steroid production and hCG binding by ram-induced ovarian follicles in seasonally anoestrous ewes. Reproduction. 78(2). 403–412. 14 indexed citations
18.
Carson, Ronald S., Lois A. Salamonsen, & J. K. Findlay. (1986). Permeability of rat ovarian follicles to LH during development and luteinization. Reproduction. 76(2). 663–675. 18 indexed citations
19.
Campo, Stella, Ronald S. Carson, & Jock K. Findlay. (1985). Distribution of specific androgen binding sites within the ovine ovarian follicle. Molecular and Cellular Endocrinology. 39(3). 255–265. 17 indexed citations
20.
Tsonis, C. G., L. P. Cahill, Ronald S. Carson, & J. K. Findlay. (1984). Identification at the onset of luteolysis of follicles capable of ovulation in the ewe. Reproduction. 70(2). 609–614. 37 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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