Robert Ollington

400 citations
17 papers · 255 indexed · h-index 7
Topics
Reinforcement Learning in Robotics (3 papers)Spam and Phishing Detection (2 papers)Explainable Artificial Intelligence (XAI) (2 papers)
Partner nations
AustraliaJordanMalaysia

In The Last Decade

Robert Ollington

15 papers receiving 245 citations

Peers

Robert Ollington
Comparison fields: 5 of 77
  • Information Systems 126
  • Artificial Intelligence 109
  • Sociology and Political Science 94
  • Signal Processing 41
  • Public Health, Environmental and Occupational Health 28
Replace Sudha Subramani with:
Sudha Subramani Australia
Anke Dittmar Germany
Michal Barla Slovakia
Vinay Jain India
Liting Zhou Ireland
Peter H. F. Ng Hong Kong
Mahsa Mohaghegh New Zealand
Ana Aguilera Chile
Arnaldo Cândido Brazil
Robert Ollington relative to Sudha Subramani Australia Sudha Subramani's profile →
Citations per field
00.5×9.3×
Sudha Subramani · 1×
Citations per year

Countries citing papers authored by Robert Ollington

Since Specialization
Citations

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

Fields of papers citing papers by Robert Ollington

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Ollington

This figure shows the co-authorship network connecting the top 25 collaborators of Robert Ollington. A scholar is included among the top collaborators of Robert Ollington 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 Ollington. Robert Ollington is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
#WorkIndexed citations
1 0
2 1
3 111
4 47
5 17
6
Predictive ACT-R (PACT-R): Using a physics engine and simulation for physical prediction in a cognitive architecture
0
7
Using a physics engine in ACT-R to aid decision making
1
8 6
9 1
10 45
11 3
12 7
13 1
14 8
15
Learning Place Cells from Sonar data
4
16
Adaptive Response Function Neurons
1
17
Concurrent Q-Learning for Autonomous Mapping and Navigation
2

About Robert Ollington

Robert Ollington is a scholar working on Computer Graphics and Computer-Aided Design, Artificial Intelligence and Geriatrics and Gerontology, having authored 17 papers that have together received 255 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (3 papers), Spam and Phishing Detection (2 papers) and Explainable Artificial Intelligence (XAI) (2 papers). The work is most often cited by research in Information Systems (126 citations), Signal Processing (41 citations) and Artificial Intelligence (109 citations). Robert Ollington has collaborated with scholars based in Australia, Jordan and Malaysia. Frequent co-authors include Rami Mohawesh, Shuxiang Xu, Son N. Tran, Yaser Jararweh, Sumbal Maqsood, Matthew Springer, Peter Vamplew, Juanita Westbury, Lre Bereznicki and Leanne Chalmers. Their work appears in journals such as Expert Systems with Applications, IEEE Access and Food Control.

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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