A. P. White

1.4k citations
31 papers · 860 · h-index 13

Impact in

Papers in

A. P. White

30 papers receiving 795 citations

Peers

A. P. White
Comparison fields: 5 of 120
  • Artificial Intelligence 465
  • Statistics and Probability 85
  • Management Science and Operations Research 89
  • Signal Processing 71
  • Information Systems 132
Replace Tom Diethe with:
Tom Diethe United Kingdom
Kevin Small United States
Stig Kjær Andersen Denmark
Anthony C. Constantinou United Kingdom
Paul V. Biron United States
Sukhdev Singh India
Silja Renooij Netherlands
Gijs Geleijnse Netherlands
Jake Luo United States
Richard A. Bauder United States
A. P. White relative to Tom Diethe United Kingdom Tom Diethe's profile →
Citations per field
00.5×7.1×
Tom Diethe · 1×
Citations per year

Countries citing papers authored by A. P. White

Since Specialization
Citations

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

Fields of papers citing papers by A. P. White

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside A. P. White, 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 A. P. White Line = papers co-authored together A. P. White links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009302
2 1994124
3 199483
4 201058
5 198155
6 199439
7 199428
8 200626
9 201219
10 199515
11 199214
12
Intra-articular and subcutaneous prilocaine with adrenaline for pain relief in day case arthroscopy of the knee joint.
199013
13 198912
14 19949
15 19969
16 19958
17 19818
18
Probabilistic induction by dynamic part generation in virtual trees
19876
19
PREDICTOR: an alternative approach to uncertain inference in expert systems
19855
20 19965

About A. P. White

A. P. White is a scholar working on Artificial Intelligence, Statistics and Probability, Information Systems, Computational Theory and Mathematics and Epidemiology, having authored 31 papers that have together received 860 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (4 papers), Imbalanced Data Classification Techniques (4 papers), Advanced Statistical Methods and Models (4 papers), Bayesian Modeling and Causal Inference (3 papers), Rough Sets and Fuzzy Logic (3 papers), Statistical Methods and Bayesian Inference (2 papers), Technology Use by Older Adults (2 papers) and Technology Adoption and User Behaviour (2 papers). The work is most often cited by research in Artificial Intelligence (465 citations), Statistics and Probability (85 citations), Management Science and Operations Research (89 citations), Signal Processing (71 citations) and Information Systems (132 citations). A. P. White has collaborated with scholars based in United Kingdom, Australia and New Zealand. Frequent co-authors include Leandro L. Minku, Xin Yao, Arthur Still, Laxman Nayak, Ian Stuart‐Hamilton, Ashish Dhopatkar, Wenzhao Liu, Christine Dean, Aidan Foy and Nicola R. Dean. Their work appears in journals such as Machine Learning, British Journal of Mathematical and Statistical Psychology, Behavior Research Methods, Journal of Statistical Computation and Simulation and Artificial Intelligence in Medicine.

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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