Ann E. Nicholson

5.9k total citations · 2 hit papers
90 papers, 3.3k citations indexed

About

Ann E. Nicholson is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Ann E. Nicholson has authored 90 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Artificial Intelligence, 10 papers in Information Systems and 7 papers in Molecular Biology. Recurrent topics in Ann E. Nicholson's work include Bayesian Modeling and Causal Inference (33 papers), AI-based Problem Solving and Planning (15 papers) and Data Mining Algorithms and Applications (6 papers). Ann E. Nicholson is often cited by papers focused on Bayesian Modeling and Causal Inference (33 papers), AI-based Problem Solving and Planning (15 papers) and Data Mining Algorithms and Applications (6 papers). Ann E. Nicholson collaborates with scholars based in Australia, United States and United Kingdom. Ann E. Nicholson's co-authors include Kevin B. Korb, Owen Woodberry, Carmel Pollino, Barry T. Hart, Leslie Pack Kaelbling, Thomas Dean, Jak Kirman, J. Michael Brady, M. Julia Flores and Steven Mascaro and has published in prestigious journals such as Circulation, PLoS ONE and Behavioral and Brain Sciences.

In The Last Decade

Ann E. Nicholson

84 papers receiving 3.1k citations

Hit Papers

Bayesian Artificial Intelligence 2003 2026 2010 2018 2003 2010 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Bayesian Artificial Intelligence
    2003 757 citations Kevin B. Korb, Ann E. Nicholson profile →
  2. Bayesian Artificial Intelligence
    2010 536 citations Kevin B. Korb, Ann E. Nicholson profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ann E. Nicholson Australia 23 1.4k 351 298 257 245 90 3.3k
Kevin B. Korb Australia 21 1.3k 0.9× 252 0.7× 290 1.0× 226 0.9× 103 0.4× 92 2.8k
Thomas D. Nielsen Denmark 21 1.7k 1.2× 193 0.5× 437 1.5× 353 1.4× 183 0.7× 73 3.4k
Luı́s Torgo Portugal 24 1.7k 1.2× 159 0.5× 304 1.0× 354 1.4× 219 0.9× 102 3.7k
Jianxun Zhang China 19 979 0.7× 164 0.5× 202 0.7× 192 0.7× 136 0.6× 79 4.3k
Yunqian Ma United States 15 1.0k 0.7× 140 0.4× 228 0.8× 174 0.7× 148 0.6× 46 3.4k
Xiaosheng Si China 16 909 0.7× 164 0.5× 198 0.7× 161 0.6× 134 0.5× 34 4.0k
János Abonyi Hungary 35 1.2k 0.9× 129 0.4× 206 0.7× 249 1.0× 175 0.7× 267 4.4k
Haixiang Guo China 29 1.6k 1.2× 496 1.4× 366 1.2× 235 0.9× 89 0.4× 105 4.4k
G. V. Loganathan United States 20 2.2k 1.6× 357 1.0× 215 0.7× 142 0.6× 103 0.4× 63 5.9k
Erwan Scornet France 11 861 0.6× 305 0.9× 134 0.4× 180 0.7× 177 0.7× 18 3.4k

Countries citing papers authored by Ann E. Nicholson

Since Specialization
Citations

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

Fields of papers citing papers by Ann E. Nicholson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ann E. Nicholson. 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 Ann E. Nicholson. The network helps show where Ann E. Nicholson may publish in the future.

Co-authorship network of co-authors of Ann E. Nicholson

This figure shows the co-authorship network connecting the top 25 collaborators of Ann E. Nicholson. A scholar is included among the top collaborators of Ann E. Nicholson 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 Ann E. Nicholson. Ann E. Nicholson 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.
Nicholson, Ann E., et al.. (2022). Predicting postpartum haemorrhage: A systematic review of prognostic models. Australian and New Zealand Journal of Obstetrics and Gynaecology. 62(6). 813–825. 14 indexed citations
2.
Twardy, Charles, Ann E. Nicholson, Kevin B. Korb, & John J. McNeil. (2022). Data Mining Cardiovascular Bayesian Networks. Figshare.
3.
Samiullah, Md., Ann E. Nicholson, & David Albrecht. (2022). Automated construction of an Object-Oriented Bayesian Network (OOBN) Class Hierarchy. 1382–1389. 2 indexed citations
4.
Bolger, Fergus, Ian Belton, Iain Hamlin, et al.. (2020). Improving the production and evaluation of structural models using a Delphi process. OSF Preprints (OSF Preprints). 1 indexed citations
5.
Nicholson, Ann E., et al.. (2018). Learning and inference methodologies for hybrid dynamic Bayesian networks: a case study for a water reservoir system in Andalusia, Spain. Stochastic Environmental Research and Risk Assessment. 32(11). 3117–3135. 7 indexed citations
6.
Nicholson, Ann E., et al.. (2012). Prediction of coffee rust disease using Bayesian networks. 259–266. 25 indexed citations
7.
Nicholson, Ann E. & Xiaodong Li. (2009). AI 2009 : advances in artificial intelligence : 22nd Australasian Joint Conference, Melbourne, Australia, December 1-4, 2009 : proceedings. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 1 indexed citations
8.
Woodberry, Owen, Kevin B. Korb, & Ann E. Nicholson. (2007). A simulation study of the evolution of ageing. Evolutionary ecology research. 9(7). 1077–1096. 4 indexed citations
9.
Twardy, Charles, Ann E. Nicholson, Kevin B. Korb, & John J. McNeil. (2006). Epidemiological data mining of cardiovascular Bayesian networks. 1(1). 3. 19 indexed citations
10.
Woodberry, Owen, Kevin B. Korb, & Ann E. Nicholson. (2005). The Evolution of Aging. 319–333. 2 indexed citations
11.
Albrecht, David, et al.. (2001). Information-Theoretic Advisors in Invisible Chess. International Conference on Artificial Intelligence and Statistics. 29–34.
12.
Albrecht, David, et al.. (2001). Playing "invisible chess" with information-theoretic advisors. National Conference on Artificial Intelligence. 6–15. 2 indexed citations
13.
Zukerman, Ingrid, et al.. (2000). Trading Off Granularity against Complexity.. 241–251. 1 indexed citations
14.
Korb, Kevin B., et al.. (1999). Bayesian poker. Uncertainty in Artificial Intelligence. 343–350. 34 indexed citations
15.
Albrecht, David, Ingrid Zukerman, & Ann E. Nicholson. (1999). Pre-sending documents on the WWW: a comparative study. International Joint Conference on Artificial Intelligence. 1274–1279. 34 indexed citations
16.
Nicholson, Ann E., et al.. (1998). Using Mutual Information to determine Relevance in Bayesian Networks. 7 indexed citations
17.
Nicholson, Ann E., et al.. (1997). A best-first search method for anytime evaluation of belief networks. International Conference on Neural Information Processing. 600–603. 1 indexed citations
18.
Nicholson, Ann E., et al.. (1997). Scheduling Trains with Genetic Algorithms. International Conference on Neural Information Processing. 1017–1020. 2 indexed citations
19.
Dean, Thomas, Leslie Pack Kaelbling, Jak Kirman, & Ann E. Nicholson. (1993). Planning with deadlines in stochastic domains. National Conference on Artificial Intelligence. 574–579. 122 indexed citations
20.
Nicholson, Ann E. & J. Michael Brady. (1992). The data association problem when monitoring robot vehicles using dynamic belief networks. European Conference on Artificial Intelligence. 689–693. 17 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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