Bridget T. McInnes

1.7k total citations
68 papers, 1.1k citations indexed

About

Bridget T. McInnes is a scholar working on Artificial Intelligence, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Bridget T. McInnes has authored 68 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Artificial Intelligence, 48 papers in Molecular Biology and 5 papers in Computational Theory and Mathematics. Recurrent topics in Bridget T. McInnes's work include Biomedical Text Mining and Ontologies (46 papers), Topic Modeling (39 papers) and Natural Language Processing Techniques (29 papers). Bridget T. McInnes is often cited by papers focused on Biomedical Text Mining and Ontologies (46 papers), Topic Modeling (39 papers) and Natural Language Processing Techniques (29 papers). Bridget T. McInnes collaborates with scholars based in United States, Australia and United Kingdom. Bridget T. McInnes's co-authors include Ted Pedersen, Serguei Pakhomov, Genevieve B. Melton, S. Henry, Nastassja A. Lewinski, Antonio Jimeno Yepes, Alan R. Aronson, Ying Liu, Terrence J Adam and Evan French and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Molecules.

In The Last Decade

Bridget T. McInnes

67 papers receiving 1.0k citations

Peers

Bridget T. McInnes
Comparison fields: 5 of 106
  • Artificial Intelligence 781
  • Molecular Biology 707
  • Computational Theory and Mathematics 74
  • Information Systems 59
  • Health Information Management 53
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Citations per field, relative to Bridget T. McInnes
Bridget T. McInnes · 1×
Citations per year, relative to Bridget T. McInnes
Bridget T. McInnes · 1×

Countries citing papers authored by Bridget T. McInnes

Since Specialization
Citations

This map shows the geographic impact of Bridget T. McInnes'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 Bridget T. McInnes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bridget T. McInnes more than expected).

Fields of papers citing papers by Bridget T. McInnes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bridget T. McInnes. 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 Bridget T. McInnes. The network helps show where Bridget T. McInnes may publish in the future.

Co-authorship network of co-authors of Bridget T. McInnes

This figure shows the co-authorship network connecting the top 25 collaborators of Bridget T. McInnes. A scholar is included among the top collaborators of Bridget T. McInnes 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 Bridget T. McInnes. Bridget T. McInnes 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
# Work Indexed citations
1 0
2 8
3 3
4 24
5 1
6 3
7 7
8 39
9 8
10
Analysis of Inter-Domain and Cross-Domain Drug Review Polarity Classification.
1
11
NLPatVCU CLEF 2020 ChEMU Shared Task System Description.
3
12 9
13
TAC SRIE 2018: Extracting Systematic Review Information with MedaCy.
3
14 5
15
UMLS::Similarity: Measuring the Relatedness and Similarity of Biomedical Concepts
6
16 14
17
Using Second-order Vectors in a Knowledge-based Method for Acronym Disambiguation
11
18 70
19
Automated Identification of Synonyms in Biomedical Acronym Sense Inventories
6
20 53

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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