Geoff Bacon

903 total citations
3 papers, 29 citations indexed

About

Geoff Bacon is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Cultural Studies. According to data from OpenAlex, Geoff Bacon has authored 3 papers receiving a total of 29 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Cultural Studies. Recurrent topics in Geoff Bacon's work include Natural Language Processing Techniques (3 papers), Topic Modeling (2 papers) and Language and cultural evolution (1 paper). Geoff Bacon is often cited by papers focused on Natural Language Processing Techniques (3 papers), Topic Modeling (2 papers) and Language and cultural evolution (1 paper). Geoff Bacon collaborates with scholars based in Australia, Canada and United Kingdom. Geoff Bacon's co-authors include Terry Regier, Francis Mollica, Noga Zaslavsky and Charles Kemp and has published in prestigious journals such as Proceedings of the National Academy of Sciences.

In The Last Decade

Geoff Bacon

3 papers receiving 28 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Geoff Bacon Australia	3	15	11	10	9	3	3	29
Abbie Hantgan France	4	10 0.7×	6 0.5×	7 0.7×	18 2.0×		13	33
Bradley McDonnell United States	5	18 1.2×	4 0.4×	19 1.9×	24 2.7×	4 1.3×	12	55
Ricardo Mairal Spain	2	5 0.3×	4 0.4×	13 1.3×	15 1.7×	3 1.0×	4	27
Steffen Höder Germany	4	9 0.6×	5 0.5×	13 1.3×	27 3.0×		9	37
William Croft	2	24 1.6×	9 0.8×	22 2.2×	58 6.4×	3 1.0×	2	77
Phillip W. Wallage United Kingdom	6	9 0.6×	9 0.8×	16 1.6×	50 5.6×	4 1.3×	6	56
Amanda L. Patten United Kingdom	4	12 0.8×	4 0.4×	19 1.9×	42 4.7×	2 0.7×	7	76
Manfred Ringmacher Germany	3	14 0.9×	10 0.9×	17 1.7×	55 6.1×	1 0.3×	8	71
Andrés Pablo Salanova Canada	5	17 1.1×	8 0.7×	23 2.3×	58 6.4×	3 1.0×	17	65
Kyle Jerro United Kingdom	5	14 0.9×	6 0.5×	12 1.2×	48 5.3×		12	49

Countries citing papers authored by Geoff Bacon

Since Specialization

Citations

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

Fields of papers citing papers by Geoff Bacon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Geoff Bacon

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

All Works

Sort: Min cites: Since: Top N: Style:

3 of 3 papers shown

1.

Mollica, Francis, et al.. (2021). The forms and meanings of grammatical markers support efficient communication. Proceedings of the National Academy of Sciences. 118(49). 23 indexed citations

2.

Bacon, Geoff. (2020). Data-driven Choices in Neural Part-of-Speech Tagging for Latin. 111–113. 2 indexed citations

3.

Bacon, Geoff & Terry Regier. (2018). Probing sentence embeddings for structure-dependent tense. 334–336. 4 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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