Simon O’Callaghan

867 total citations
16 papers, 544 citations indexed

About

Simon O’Callaghan is a scholar working on Artificial Intelligence, Geophysics and Atmospheric Science. According to data from OpenAlex, Simon O’Callaghan has authored 16 papers receiving a total of 544 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 3 papers in Geophysics and 3 papers in Atmospheric Science. Recurrent topics in Simon O’Callaghan's work include Gaussian Processes and Bayesian Inference (9 papers), Target Tracking and Data Fusion in Sensor Networks (5 papers) and Geology and Paleoclimatology Research (3 papers). Simon O’Callaghan is often cited by papers focused on Gaussian Processes and Bayesian Inference (9 papers), Target Tracking and Data Fusion in Sensor Networks (5 papers) and Geology and Paleoclimatology Research (3 papers). Simon O’Callaghan collaborates with scholars based in Australia, Sri Lanka and Brazil. Simon O’Callaghan's co-authors include Fábio Ramos, R. Dietmar Müller, Adriana Dutkiewicz, Hugh Durrant‐Whyte, Ransalu Senanayake, Alen Alempijevic, Surya P. N. Singh, Nicky M. Wright, John Cannon and Lionel Ott and has published in prestigious journals such as Geology, The International Journal of Robotics Research and Geochemistry Geophysics Geosystems.

In The Last Decade

Simon O’Callaghan

16 papers receiving 526 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Simon O’Callaghan Australia 11 215 165 150 78 52 16 544
Sandra Lorenz Germany 16 399 1.9× 79 0.5× 86 0.6× 63 0.8× 13 0.3× 56 829
Xinwei Chen China 14 65 0.3× 118 0.7× 64 0.4× 174 2.2× 269 5.2× 70 601
Hans Thomas United States 17 128 0.6× 168 1.0× 110 0.7× 147 1.9× 246 4.7× 65 880
Runyu Fan China 14 158 0.7× 36 0.2× 158 1.1× 113 1.4× 13 0.3× 28 668
Jan Opderbecke France 14 90 0.4× 152 0.9× 88 0.6× 60 0.8× 195 3.8× 38 687
Robert Jackisch Germany 11 174 0.8× 50 0.3× 50 0.3× 38 0.5× 9 0.2× 25 386
Shinji Masumoto Japan 11 117 0.5× 44 0.3× 54 0.4× 22 0.3× 30 0.6× 114 527
Toshihiro Maki Japan 19 105 0.5× 437 2.6× 259 1.7× 20 0.3× 254 4.9× 121 1.1k
Xiaocheng Zhou China 10 108 0.5× 33 0.2× 95 0.6× 100 1.3× 4 0.1× 28 498

Countries citing papers authored by Simon O’Callaghan

Since Specialization
Citations

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

Fields of papers citing papers by Simon O’Callaghan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Simon O’Callaghan. 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 Simon O’Callaghan. The network helps show where Simon O’Callaghan may publish in the future.

Co-authorship network of co-authors of Simon O’Callaghan

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

All Works

16 of 16 papers shown
1.
Scalzo, R., et al.. (2019). Supporting data and code for: Efficiency and robustness in Monte Carlo sampling for 3-D geophysical inversions with Obsidian v0.1.2: Setting up for success. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
2.
Senanayake, Ransalu, Simon O’Callaghan, & Fábio Ramos. (2017). Learning highly dynamic environments with stochastic variational inference. 2532–2539. 12 indexed citations
3.
Dutkiewicz, Adriana, et al.. (2017). Predicting Sediment Thickness on Vanished Ocean Crust Since 200 Ma. Geochemistry Geophysics Geosystems. 18(12). 4586–4603. 33 indexed citations
4.
Senanayake, Ransalu, Lionel Ott, Simon O’Callaghan, & Fábio Ramos. (2016). Spatio-Temporal Hilbert Maps for Continuous Occupancy Representation in Dynamic Environments. Neural Information Processing Systems. 29. 3925–3933. 10 indexed citations
5.
Dutkiewicz, Adriana, Simon O’Callaghan, & R. Dietmar Müller. (2016). Controls on the distribution of deep‐sea sediments. Geochemistry Geophysics Geosystems. 17(8). 3075–3098. 30 indexed citations
6.
Senanayake, Ransalu, Simon O’Callaghan, & Fábio Ramos. (2016). Predicting Spatio-Temporal Propagation of Seasonal Influenza Using Variational Gaussian Process Regression. Proceedings of the AAAI Conference on Artificial Intelligence. 30(1). 36 indexed citations
7.
Beardsmore, Graeme, et al.. (2016). A Bayesian inference tool for geophysical joint inversions. ASEG Extended Abstracts. 2016(1). 1–10. 10 indexed citations
8.
Dutkiewicz, Adriana, et al.. (2015). Census of seafloor sediments in the world’s ocean. Geology. 43(9). 795–798. 119 indexed citations
9.
O’Callaghan, Simon, et al.. (2013). Bayesian joint inversions for the exploration of earth resources. International Joint Conference on Artificial Intelligence. 2877–2884. 7 indexed citations
10.
O’Callaghan, Simon, et al.. (2013). Multi-modal estimation with kernel embeddings for learning motion models. 2010. 2845–2852. 15 indexed citations
11.
O’Callaghan, Simon & Fábio Ramos. (2012). Gaussian process occupancy maps. The International Journal of Robotics Research. 31(1). 42–62. 151 indexed citations
12.
Ramos, Fábio, et al.. (2012). Bayesian data fusion for geothermal exploration. ANU Open Research (Australian National University). 3 indexed citations
13.
O’Callaghan, Simon & Fábio Ramos. (2011). Continuous Occupancy Mapping with Integral Kernels. Proceedings of the AAAI Conference on Artificial Intelligence. 25(1). 1494–1500. 21 indexed citations
14.
O’Callaghan, Simon, Surya P. N. Singh, Alen Alempijevic, & Fábio Ramos. (2011). Learning navigational maps by observing human motion patterns. UTS ePRESS (University of Technology Sydney). 23. 4333–4340. 35 indexed citations
15.
O’Callaghan, Simon, Fábio Ramos, & Hugh Durrant‐Whyte. (2010). Contextual occupancy maps incorporating sensor and location uncertainty. 3478–3485. 12 indexed citations
16.
O’Callaghan, Simon, Fábio Ramos, & Hugh Durrant‐Whyte. (2009). Contextual occupancy maps using Gaussian processes. 1054–1060. 49 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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