Robert King

2.3k total citations
67 papers, 1.1k citations indexed

About

Robert King is a scholar working on Statistics and Probability, Artificial Intelligence and Statistics, Probability and Uncertainty. According to data from OpenAlex, Robert King has authored 67 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Statistics and Probability, 18 papers in Artificial Intelligence and 13 papers in Statistics, Probability and Uncertainty. Recurrent topics in Robert King's work include Statistical Distribution Estimation and Applications (23 papers), Probabilistic and Robust Engineering Design (13 papers) and Hydrology and Drought Analysis (9 papers). Robert King is often cited by papers focused on Statistical Distribution Estimation and Applications (23 papers), Probabilistic and Robust Engineering Design (13 papers) and Hydrology and Drought Analysis (9 papers). Robert King collaborates with scholars based in Australia, United States and United Kingdom. Robert King's co-authors include Muhammad Shuaib Khan, Irene L. Hudson, John H. Gillespie, Kerrie Mengersen, Helen MacGillivray, Trevor Moffiet, Christian Witte, R. Denham, J. Fuhr and Stephan K. Chalup and has published in prestigious journals such as SHILAP Revista de lepidopterología, Anesthesia & Analgesia and ISPRS Journal of Photogrammetry and Remote Sensing.

In The Last Decade

Robert King

66 papers receiving 962 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert King Australia 17 484 247 137 132 115 67 1.1k
Hanfeng Chen United States 15 341 0.7× 52 0.2× 262 1.9× 250 1.9× 54 0.5× 59 1.2k
E. W. Stacy United States 7 568 1.2× 273 1.1× 115 0.8× 202 1.5× 45 0.4× 9 1.7k
Raj S. Chhikara United States 17 873 1.8× 396 1.6× 115 0.8× 349 2.6× 107 0.9× 51 1.8k
Helen MacGillivray Australia 13 462 1.0× 121 0.5× 62 0.5× 172 1.3× 22 0.2× 63 1.1k
David L. Farnsworth United States 11 441 0.9× 243 1.0× 82 0.6× 126 1.0× 29 0.3× 52 1.1k
Chong Gu United States 23 1.0k 2.1× 166 0.7× 137 1.0× 442 3.3× 114 1.0× 48 2.1k
Javier E. Contreras‐Reyes Chile 21 370 0.8× 107 0.4× 146 1.1× 236 1.8× 40 0.3× 89 1.1k
Mohsen Pourahmadi United States 17 524 1.1× 55 0.2× 64 0.5× 247 1.9× 74 0.6× 64 1.3k
Alan J. Lee New Zealand 9 144 0.3× 46 0.2× 63 0.5× 98 0.7× 58 0.5× 19 966
Jean Diebolt France 16 777 1.6× 90 0.4× 129 0.9× 695 5.3× 70 0.6× 47 1.6k

Countries citing papers authored by Robert King

Since Specialization
Citations

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

Fields of papers citing papers by Robert King

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert King

This figure shows the co-authorship network connecting the top 25 collaborators of Robert King. A scholar is included among the top collaborators of Robert King 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 Robert King. Robert King 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.
Khan, Muhammad Shuaib, Robert King, & Irene L. Hudson. (2019). Transmuted Burr Type X Distribution with Covariates Regression Modeling to Analyze Reliability Data. American Journal of Mathematical and Management Sciences. 39(2). 99–121. 10 indexed citations
2.
Khan, Muhammad Shuaib, Robert King, & Irene L. Hudson. (2018). Transmuted Modified Weibull distribution: Properties and Application. European Journal of Pure and Applied Mathematics. 11(2). 362–374. 6 indexed citations
3.
Diawara, Norou, et al.. (2018). Simulations of local Moran’s index in a spatio-temporal setting. Communications in Statistics - Simulation and Computation. 48(6). 1849–1859. 11 indexed citations
4.
King, Robert, et al.. (2016). Kurtosis of the logistic-exponential survival distribution. Communication in Statistics- Theory and Methods. 45(23). 6891–6899. 7 indexed citations
5.
Khan, Muhammad Shuaib, Robert King, & Irene L. Hudson. (2016). Transmuted Kumaraswamy distribution. Statistics in Transition New Series. 17(2). 183–210. 10 indexed citations
6.
King, Robert. (2015). Effect of IFRS Adoption on Reporting Quality in Kenya. 1 indexed citations
7.
Khan, Muhammad Shuaib, Robert King, & Irene L. Hudson. (2013). A new three parameter transmuted Chen lifetime distribution with application. Swinburne Research Bank (Swinburne University of Technology). 13 indexed citations
8.
Khan, Muhammad Shuaib & Robert King. (2013). Transmuted Modified Weibull Distribution: A Generalization of the Modified Weibull Probability Distribution. European Journal of Pure and Applied Mathematics. 6(1). 66–88. 103 indexed citations
9.
King, Robert & Karen Blackmore. (2013). Physical and political boundaries as barriers to the continuity of social vulnerability. Applied Geography. 44. 79–87. 16 indexed citations
10.
Khan, Muhammad Shuaib & Robert King. (2012). Modified Inverse Weibull Distribution. Journal of Statistics Applications & Probability. 1(2). 115–132. 37 indexed citations
11.
O’Toole, John Mitchell & Robert King. (2011). Reading by the Numbers: Reconsidering Numerical Estimates of Reading Difficulty. The International Journal of Learning Annual Review. 17(10). 181–194. 1 indexed citations
12.
Douglas, M. Joanne, et al.. (2010). Five Unit Bolus Oxytocin at Cesarean Delivery in Women at Risk of Atony. Anesthesia & Analgesia. 111(6). 1460–1466. 39 indexed citations
13.
King, Robert, et al.. (2010). The deceptive mean: Conceptual scoring of cloze entries differentially advantages more able readers. Language Testing. 28(1). 127–144. 12 indexed citations
14.
King, Robert, et al.. (2009). Versatile regression: Simple regression with a non-normal error distribution. NOVA (University of Newcastle, Australia). 1 indexed citations
15.
King, Robert, et al.. (2009). Is there thermal benefit from preoperative warming in children?. Pediatric Anesthesia. 20(1). 63–71. 11 indexed citations
16.
Moffiet, Trevor, Kerrie Mengersen, Christian Witte, Robert King, & R. Denham. (2005). Airborne laser scanning: Exploratory data analysis indicates potential variables for classification of individual trees or forest stands according to species. ISPRS Journal of Photogrammetry and Remote Sensing. 59(5). 289–309. 114 indexed citations
17.
Cassey, Phillip & Robert King. (2001). The problem of testing the goodness‐of‐fit of stochastic resource apportionment models. Environmetrics. 12(7). 691–698. 9 indexed citations
18.
King, Robert & Helen MacGillivray. (1999). Theory & Methods: A Starship Estimation Method for the Generalized λ Distributions. Australian & New Zealand Journal of Statistics. 41(3). 353–374. 49 indexed citations
19.
King, Robert, et al.. (1999). Shannon, TESPAR and approximation strategies. Computers & Security. 18(5). 445–453. 35 indexed citations
20.
Fuhr, J., et al.. (1993). Detection and location of internal defects in the insulation of power transformers. IEEE Transactions on Electrical Insulation. 28(6). 1057–1067. 61 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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