Alison Q. O’Neil

997 citations
21 papers · 333 indexed · h-index 9
Topics
Topic Modeling (8 papers)Biomedical Text Mining and Ontologies (4 papers)Natural Language Processing Techniques (4 papers)

In The Last Decade

Alison Q. O’Neil

19 papers receiving 315 citations

Peers

Alison Q. O’Neil
Comparison fields: 5 of 96
  • Artificial Intelligence 140
  • Radiology, Nuclear Medicine and Imaging 51
  • Computer Vision and Pattern Recognition 45
  • Environmental Chemistry 41
  • Molecular Biology 40
Replace Niki Kilbertus with:
Niki Kilbertus Germany
Florian M. Savoy United States
Mingyuan Liu China
Nikola Simidjievski Slovenia
Radu Herbei United States
Pengyuan Li China
Nirmal Keshava United States
Ali Siahkoohi United States
S. Jyothi India
Kurt Kramer United States
Alison Q. O’Neil relative to Niki Kilbertus Germany Niki Kilbertus's profile →
Citations per field
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Citations per year

Countries citing papers authored by Alison Q. O’Neil

Since Specialization
Citations

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

Fields of papers citing papers by Alison Q. O’Neil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alison Q. O’Neil

This figure shows the co-authorship network connecting the top 25 collaborators of Alison Q. O’Neil. A scholar is included among the top collaborators of Alison Q. O’Neil 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 Alison Q. O’Neil. Alison Q. O’Neil 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
#WorkIndexed citations
1 1
2 2
3 4
4 1
5 22
6 4
7 5
8 3
9 5
10 9
11 39
12 45
13 85
14 12
15 0
16 8
17 0
18 13
19 42
20 31

About Alison Q. O’Neil

Alison Q. O’Neil is a scholar working on Health Informatics, Artificial Intelligence and Neurology, having authored 21 papers that have together received 333 indexed citations. Recurring topics across this work include Topic Modeling (8 papers), Biomedical Text Mining and Ontologies (4 papers) and Natural Language Processing Techniques (4 papers). The work is most often cited by research in Health Informatics (32 citations), Artificial Intelligence (140 citations) and Health Information Management (20 citations). Alison Q. O’Neil has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Sotirios A. Tsaftaris, Pedro Sanchez, Hannah Watson, Tian Xia, Richard Swinbank, G. L. Manney, Alexander Weir, Spyridon Thermos, Roderick Murray‐Smith and Chaitanya Kaul. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Geophysical Research Letters.

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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