R.L. Kennedy

2.5k total citations
52 papers, 1.8k citations indexed

About

R.L. Kennedy is a scholar working on Endocrinology, Diabetes and Metabolism, Artificial Intelligence and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, R.L. Kennedy has authored 52 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Endocrinology, Diabetes and Metabolism, 12 papers in Artificial Intelligence and 7 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in R.L. Kennedy's work include Thyroid Disorders and Treatments (10 papers), Machine Learning in Healthcare (6 papers) and Neural Networks and Applications (6 papers). R.L. Kennedy is often cited by papers focused on Thyroid Disorders and Treatments (10 papers), Machine Learning in Healthcare (6 papers) and Neural Networks and Applications (6 papers). R.L. Kennedy collaborates with scholars based in United Kingdom, Australia and United States. R.L. Kennedy's co-authors include Robert F. Harrison, Simon S. Cross, T. Hugh Jones, Tineke H. Jones, Hamish Fraser, Robert E. J. Ryder, J. Lowell, Andrew Hunter, Ansu Basu and David Steel and has published in prestigious journals such as The Lancet, The Journal of Clinical Endocrinology & Metabolism and European Heart Journal.

In The Last Decade

R.L. Kennedy

50 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
R.L. Kennedy United Kingdom	20	296	268	264	261	196	52	1.8k
Panagiota Spyridonos Greece	17	136 0.5×	182 0.7×	378 1.4×	205 0.8×	177 0.9×	52	2.7k
Zhiyuan Wu China	22	340 1.1×	339 1.3×	225 0.9×	358 1.4×	148 0.8×	107	1.9k
Ole Hejlesen Denmark	26	843 2.8×	228 0.9×	153 0.6×	355 1.4×	148 0.8×	224	2.5k
Hung‐Wen Chiu Taiwan	25	87 0.3×	169 0.6×	227 0.9×	342 1.3×	216 1.1×	108	1.7k
Neil McIntosh United Kingdom	37	91 0.3×	269 1.0×	191 0.7×	119 0.5×	151 0.8×	167	3.8k
Zhenyu Tang China	27	132 0.4×	294 1.1×	161 0.6×	145 0.6×	310 1.6×	98	2.8k
Qi Long United States	31	232 0.8×	120 0.4×	305 1.2×	166 0.6×	151 0.8×	191	3.3k
A. H. Zwinderman Netherlands	29	248 0.8×	119 0.4×	76 0.3×	617 2.4×	444 2.3×	65	3.3k
Mayumi Horibe United States	13	78 0.3×	156 0.6×	328 1.2×	432 1.7×	103 0.5×	35	1.8k
Reena Chopra United Kingdom	23	154 0.5×	475 1.8×	77 0.3×	575 2.2×	337 1.7×	56	1.8k

Countries citing papers authored by R.L. Kennedy

Since Specialization

Citations

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

Fields of papers citing papers by R.L. Kennedy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R.L. Kennedy

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

All Works

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20 of 20 papers shown

Harrison, Robert F. & R.L. Kennedy. (2008). Automatic covariate selection in logistic models for chest pain diagnosis: A new approach. Computer Methods and Programs in Biomedicine. 89(3). 301–312. 1 indexed citations

Kennedy, R.L., et al.. (2008). Management of obesity in the elderly: Too much and too late?. The journal of nutrition health & aging. 12(9). 608–621. 12 indexed citations

Mond, Jonathan, Bryan Rodgers, Phillipa Hay, et al.. (2007). Obesity and Impairment in Psychosocial Functioning in Women: The Mediating Role of Eating Disorder Features. Obesity. 15(11). 2769–2779. 48 indexed citations

Farshchi, Hamid R., et al.. (2007). Diet and nutrition in polycystic ovary syndrome (PCOS): Pointers for nutritional management. Journal of Obstetrics and Gynaecology. 27(8). 762–773. 59 indexed citations

Kennedy, R.L.. (2005). Identification of patients with evolving coronary syndromes by using statistical models with data from the time of presentation. Heart. 92(2). 183–189. 12 indexed citations

Harrison, Robert F. & R.L. Kennedy. (2005). Artificial Neural Network Models for Prediction of Acute Coronary Syndromes Using Clinical Data From the Time of Presentation. Annals of Emergency Medicine. 46(5). 431–439. 81 indexed citations

Lim, Chee Peng, Robert F. Harrison, & R.L. Kennedy. (1997). Application of autonomous neural network systems to medical pattern classification tasks. Artificial Intelligence in Medicine. 11(3). 215–239. 28 indexed citations

Kennedy, R.L., et al.. (1996). Early diagnosis of acute myocardial infarction using clinical and electrocardiographic data at presentation: derivation and evaluation of logistic regression models. European Heart Journal. 17(8). 1181–1191. 60 indexed citations

Harrison, Robert F., et al.. (1996). Application of the fuzzy ARTMAP neural network model to medical pattern classification tasks. Artificial Intelligence in Medicine. 8(4). 403–428. 40 indexed citations

10.

Harrison, Robert F., et al.. (1995). GR2: a hybrid knowledge-based system using general rules. OpenGrey (Institut de l'Information Scientifique et Technique). 488–493. 1 indexed citations

11.

Cross, Simon S., Robert F. Harrison, & R.L. Kennedy. (1995). Introduction to neural networks. The Lancet. 346(8982). 1075–1079. 478 indexed citations

12.

Jones, TH, et al.. (1993). Interleukin-1 stimulates the release of interleukin-6 from cultured human pituitary adenoma cells. European Journal of Endocrinology. 128(5). 405–410. 19 indexed citations

13.

Kennedy, R.L., William G. Haynes, & David J. Webb. (1993). Endothelins as regulators of growth and function in endocrine tissues. Clinical Endocrinology. 39(3). 259–265. 35 indexed citations

14.

Jones, T. Hugh & R.L. Kennedy. (1993). Cytokines and hypothalamic-pituitary function. Cytokine. 5(6). 531–538. 90 indexed citations

15.

Kennedy, R.L., et al.. (1992). Thyrotoxicosis and hyperemesis gravidarum associated with a serum activity which stimulates human thyroid cells in vitro. Clinical Endocrinology. 36(1). 83–89. 17 indexed citations

16.

Ryder, Robert E. J., et al.. (1991). Photography combined with ophthalmoscopy in retinal screening. Practical Diabetes International. 8(4). 151–153. 2 indexed citations

17.

Kennedy, R.L. & Tineke H. Jones. (1991). Cytokines in endocrinology: their roles in health and in disease. Journal of Endocrinology. 129(2). 167–178. 60 indexed citations

18.

Kennedy, R.L., et al.. (1990). THYROID FUNCTION IN CHORIOCARCINOMA: DEMONSTRATION OF A THYROID STIMULATING ACTIVITY IN SERUM USING FRTL‐5 and HUMAN THYROID CELLS. Clinical Endocrinology. 33(2). 227–238. 14 indexed citations

19.

Ryder, Robert E. J., R.L. Kennedy, P. G. Newrick, et al.. (1990). Autonomic Denervation may be a Prerequisite of Diabetic Neuropathic Foot Ulceration. Diabetic Medicine. 7(8). 726–730. 28 indexed citations

20.

Kennedy, R.L., et al.. (1990). Thyroid-Stimulatory Effects of Human Chorionic Gonadotrophin in Early Pregnancy. Hormone Research. 33(5). 177–183. 11 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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