Colin Batchelor

1.3k citations
19 papers · 734 indexed · h-index 14

Colin Batchelor

18 papers receiving 673 citations

Peers

Colin Batchelor
Comparison fields: 5 of 88
  • Artificial Intelligence 472
  • Molecular Biology 452
  • Computational Theory and Mathematics 89
  • Information Systems and Management 26
  • Information Systems 74
Replace Jasmin Šarić with:
Jasmin Šarić Germany
Florian Leitner Spain
Mariana Neves Germany
Susanne M. Humphrey United States
Andreas Doms Germany
William A. Baumgartner United States
Sylvain Gaudan United Kingdom
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Citations per year

Countries citing papers authored by Colin Batchelor

Since Specialization
Citations

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

Fields of papers citing papers by Colin Batchelor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Colin Batchelor, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Colin Batchelor Line = papers co-authored together Colin Batchelor links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 20203
2
Universal dependencies for Scottish Gaelic: syntax
20191
3 201577
4 201520
5 201340
6 201323
7
Shape perception in chemistry
20131
8 201237
9 2012114
10 201125
11
Parts and Wholes, Shapes and Holes in Living Beings.
20112
12 201054
13 201061
14
The Translational Medicine Ontology: Driving personalized medicine by bridging the gap from bedside to bench
201014
15
Corpora for the Conceptualisation and Zoning of Scientific Papers
201078
16 2009118
17
ART: An ontology based tool for the translation of papers into Semantic Web format
20071
18 200750
19 200715

About Colin Batchelor

Colin Batchelor is a scholar working on Artificial Intelligence, Molecular Biology, Linguistics and Language, Computational Theory and Mathematics and Information Systems and Management, having authored 19 papers that have together received 734 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (14 papers), Semantic Web and Ontologies (8 papers), Topic Modeling (5 papers), Advanced Text Analysis Techniques (5 papers), Bioinformatics and Genomic Networks (5 papers), Computational Drug Discovery Methods (3 papers), Genomics and Phylogenetic Studies (3 papers) and Natural Language Processing Techniques (2 papers). The work is most often cited by research in Artificial Intelligence (472 citations), Molecular Biology (452 citations), Computational Theory and Mathematics (89 citations), Information Systems and Management (26 citations) and Information Systems (74 citations). Colin Batchelor has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Simone Teufel, Advaith Siddharthan, Maria Liakata, Simon Dobnik, Shyamasree Saha, Dietrich Rebholz‐Schuhmann, Karen Eilbeck, Peter Corbett, Chris Mungall and Janna Hastings. Their work appears in journals such as Journal of Cheminformatics, BMC Genomics, Applied Ontology, Journal of Biomedical Informatics and Genome biology.

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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