P. J. Solomon

1.7k total citations
59 papers, 1.2k citations indexed

About

P. J. Solomon is a scholar working on Epidemiology, Economics and Econometrics and Statistics and Probability. According to data from OpenAlex, P. J. Solomon has authored 59 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Epidemiology, 14 papers in Economics and Econometrics and 14 papers in Statistics and Probability. Recurrent topics in P. J. Solomon's work include Sepsis Diagnosis and Treatment (15 papers), Respiratory Support and Mechanisms (6 papers) and Statistical Methods and Bayesian Inference (6 papers). P. J. Solomon is often cited by papers focused on Sepsis Diagnosis and Treatment (15 papers), Respiratory Support and Mechanisms (6 papers) and Statistical Methods and Bayesian Inference (6 papers). P. J. Solomon collaborates with scholars based in Australia, United Kingdom and United States. P. J. Solomon's co-authors include John L. Moran, A. R. Peisach, D. R. Cox, Gary Glonek, D. R. Cox, Peter Bristow, Carol George, Graeme K. Hart, Susan R. Wilson and Adèle C. Green and has published in prestigious journals such as PLoS ONE, Biometrics and Critical Care Medicine.

In The Last Decade

P. J. Solomon

57 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
P. J. Solomon Australia	17	268	218	190	181	175	59	1.2k
Arthur Allignol Germany	22	358 1.3×	497 2.3×	112 0.6×	264 1.5×	101 0.6×	52	2.0k
Sacha E. Bleeker Netherlands	9	295 1.1×	94 0.4×	34 0.2×	101 0.6×	127 0.7×	11	1.3k
Philip Pallmann United Kingdom	16	124 0.5×	292 1.3×	79 0.4×	164 0.9×	79 0.5×	63	990
Kerrie P. Nelson United States	19	200 0.7×	122 0.6×	65 0.3×	55 0.3×	146 0.8×	72	1.5k
Ron Reeder United States	24	436 1.6×	115 0.5×	249 1.3×	80 0.4×	410 2.3×	105	1.6k
Paul S. Heckerling United States	23	258 1.0×	37 0.2×	65 0.3×	103 0.6×	186 1.1×	60	1.8k
Edward H. Kennedy United States	20	177 0.7×	361 1.7×	43 0.2×	190 1.0×	81 0.5×	66	1.1k
Martin Schumacher Austria	21	339 1.3×	141 0.6×	115 0.6×	87 0.5×	52 0.3×	40	1.9k
Alexina J. Mason United Kingdom	14	788 2.9×	79 0.4×	310 1.6×	87 0.5×	257 1.5×	33	1.5k
Ruwanthi Kolamunnage‐Dona United Kingdom	26	486 1.8×	369 1.7×	43 0.2×	163 0.9×	42 0.2×	73	2.1k

Countries citing papers authored by P. J. Solomon

Since Specialization

Citations

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

Fields of papers citing papers by P. J. Solomon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. J. Solomon

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

Moran, John L. & P. J. Solomon. (2018). The search for biomarkers in the critically ill: a cautionary tale. Critical Care and Resuscitation. 20(2). 85–93. 1 indexed citations

Moran, John L. & P. J. Solomon. (2014). Fixed Effects Modelling for Provider Mortality Outcomes: Analysis of the Australia and New Zealand Intensive Care Society (ANZICS) Adult Patient Data-Base. PLoS ONE. 9(7). e102297–e102297. 17 indexed citations

Solomon, P. J., Jessica Kasza, & John L. Moran. (2014). Identifying unusual performance in Australian and New Zealand intensive care units from 2000 to 2010. BMC Medical Research Methodology. 14(1). 53–53. 13 indexed citations

Kasza, Jessica, et al.. (2013). Evaluating the performance of Australian and New Zealand intensive care units in 2009 and 2010. Statistics in Medicine. 32(21). 3720–3736. 15 indexed citations

Moran, John L. & P. J. Solomon. (2013). Statistical process control of mortality series in the Australian and New Zealand Intensive Care Society (ANZICS) adult patient database: implications of the data generating process. BMC Medical Research Methodology. 13(1). 66–66. 14 indexed citations

Solomon, P. J.. (2009). Some statistics in bioinformatics: The fifth Armitage Lecture. Statistics in Medicine. 28(23). 2833–2856. 2 indexed citations

Moran, John L., Peter Bristow, P. J. Solomon, Carol George, & Graeme K. Hart. (2008). Mortality and length-of-stay outcomes, 1993–2003, in the binational Australian and New Zealand intensive care adult patient database*. Critical Care Medicine. 36(1). 46–61. 125 indexed citations

Tuke, Jonathan, Gary Glonek, & P. J. Solomon. (2008). Gene profiling for determining pluripotent genes in a time course microarray experiment. Biostatistics. 10(1). 80–93. 9 indexed citations

Moran, John L., Andrew D. Bersten, P. J. Solomon, Cyrus Edibam, & Tamara D Hunt. (2008). Modelling survival in acute severe illness: Cox versus accelerated failure time models. Journal of Evaluation in Clinical Practice. 14(1). 83–93. 7 indexed citations

10.

Moran, John L. & P. J. Solomon. (2007). Statistics in review Part 2: Generalised linear models, time-to-event and time-series analysis, evidence synthesis and clinical trials. Critical Care and Resuscitation. 9(2). 187–197. 5 indexed citations

11.

Moran, John L. & P. J. Solomon. (2007). Statistics in review Part I: graphics, data summary and linear models. Critical Care and Resuscitation. 9(1). 81–90. 8 indexed citations

12.

Moran, John L., et al.. (2007). New models for old questions: generalized linear models for cost prediction. Journal of Evaluation in Clinical Practice. 13(3). 381–389. 143 indexed citations

13.

Moran, John L., et al.. (2006). Tympanic temperature measurements: Are they reliable in the critically ill? A clinical study of measures of agreement*. Critical Care Medicine. 35(1). 155–164. 108 indexed citations

14.

Moran, John L. & P. J. Solomon. (2004). A farewell to P-values?. Critical Care and Resuscitation. 6(2). 130–137. 1 indexed citations

15.

Moran, John L. & P. J. Solomon. (2003). Some aspects of the design and monitoring of clinical trials. Critical Care and Resuscitation. 5(2). 137–146. 1 indexed citations

16.

Moran, John L. & P. J. Solomon. (2003). Mortality and other event rates: what do they tell us about performance?. Critical Care and Resuscitation. 5(4). 292–304. 4 indexed citations

17.

Moran, John L., et al.. (2002). Phosphate Metabolism in Intensive Care Patients with Acute Respiratory Failure. Critical Care and Resuscitation. 4(2). 93–103. 3 indexed citations

18.

Wilson, Susan R. & P. J. Solomon. (1994). Estimates for different stages of HIVIAIDS disease. Computer applications in the biosciences. 10(6). 681–683. 2 indexed citations

19.

Fritschi, Lin, Adèle C. Green, & P. J. Solomon. (1992). Sun exposure in Australian adolescents. Journal of the American Academy of Dermatology. 27(1). 25–28. 61 indexed citations

20.

Cox, D. R. & P. J. Solomon. (1986). Analysis of Variability with Large Numbers of Small Samples. Biometrika. 73(3). 543–543. 1 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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