Robert King

2.3k citations
71 papers · 1.1k · h-index 17

Impact in

Papers in

Robert King

69 papers receiving 1.0k citations

Peers

Robert King
Comparison fields: 5 of 122
  • Statistics and Probability 501
  • Statistics, Probability and Uncertainty 252
  • Developmental Biology 22
  • Media Technology 87
  • Environmental Engineering 121
Replace Geof H. Givens with:
Geof H. Givens United States
Arthur Pewsey Spain
Brett Presnell United States
Jean Diebolt France
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Citations per field
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Geof H. Givens · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Robert King, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Robert King Line = papers co-authored together Robert King links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005120
2
Transmuted Modified Weibull Distribution: A Generalization of the Modified Weibull Probability Distribution
2013106
3 198993
4 199361
5 199952
6 201041
7 201739
8 201438
9 201637
10 201237
11 199937
12 200836
13 201530
14 201424
15 201623
16 197823
17 201318
18 201715
19 201615
20 198115

About Robert King

Robert King is a scholar working on Statistics and Probability, Artificial Intelligence, Statistics, Probability and Uncertainty, Computer Vision and Pattern Recognition and Global and Planetary Change, having authored 71 papers that have together received 1.1k indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (23 papers), Probabilistic and Robust Engineering Design (13 papers), Hydrology and Drought Analysis (9 papers), Bayesian Methods and Mixture Models (8 papers), Speech Recognition and Synthesis (6 papers), Speech and Audio Processing (6 papers), Advanced Statistical Methods and Models (5 papers) and Face and Expression Recognition (5 papers). The work is most often cited by research in Statistics and Probability (501 citations), Statistics, Probability and Uncertainty (252 citations), Developmental Biology (22 citations), Media Technology (87 citations) and Environmental Engineering (121 citations). Robert King has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Muhammad Shuaib Khan, Irene L. Hudson, John H. Gillespie, Kerrie Mengersen, Helen MacGillivray, Trevor Moffiet, Christian Witte, R. Denham, Stephan K. Chalup and David Allingham. Their work appears in journals such as Electronics Letters, Pediatric Anesthesia, IEEE Transactions on Affective Computing, Pattern Recognition Letters and ISPRS Journal of Photogrammetry and Remote Sensing.

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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