Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Using text mining for study identification in systematic reviews: a systematic review of current approaches
2015411 citationsJames Thomas, John McNaught et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of John McNaught'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 John McNaught with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John McNaught more than expected).
This network shows the impact of papers produced by John McNaught. 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 John McNaught. The network helps show where John McNaught may publish in the future.
Co-authorship network of co-authors of John McNaught
This figure shows the co-authorship network connecting the top 25 collaborators of John McNaught.
A scholar is included among the top collaborators of John McNaught 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 John McNaught. John McNaught is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Thompson, Paul M., Riza Batista-Navarro, Georgios Kontonatsios, et al.. (2016). Text Mining the History of Medicine. PLoS ONE. 11(1). e0144717–e0144717.37 indexed citations
Ananiadou, Sophia, John McNaught, James Thomas, Mark Rickinson, & Sandy Oliver. (2010). Evaluating a text mining based educational search portal. Language Resources and Evaluation. 3344–3350.3 indexed citations
5.
Nawaz, Raheel, Paul M. Thompson, John McNaught, & Sophia Ananiadou. (2010). Meta-knowledge annotation of bio-events. Language Resources and Evaluation. 2498–2505.28 indexed citations
Thompson, Paul M., Philip D. Cotter, John McNaught, et al.. (2008). Building a Bio-Event Annotated Corpus for the Acquisition of Semantic Frames from Biomedical Corpora. Language Resources and Evaluation. 2159–2166.8 indexed citations
8.
Rebholz‐Schuhmann, Dietrich, Piotr Pęzik, Jang‐Joo Kim, et al.. (2008). BioLexicon: Towards a Reference Terminological Resource in the Biomedical Domain. Research Explorer (The University of Manchester).9 indexed citations
9.
Sasaki, Yutaka, Simonetta Montemagni⋄, Piotr Pęzik, et al.. (2008). BioLexicon: A Lexical Resource for the Biology Domain.26 indexed citations
10.
Thompson, Paul M., Giulia Venturi⋄, John McNaught, Simonetta Montemagni⋄, & Sophia Ananiadou. (2008). Categorising Modality in Biomedical Texts. Language Resources and Evaluation. 27–34.29 indexed citations
11.
Piao, Scott, John McNaught, & Sophia Ananiadou. (2008). Clustering Related Terms with Definitions. Language Resources and Evaluation. 2013–2019.1 indexed citations
Ananiadou, Sophia & John McNaught. (2005). Text Mining for Biology And Biomedicine.236 indexed citations
15.
Zervanou, Kalliopi & John McNaught. (2004). A domain-independent approach to IE rule development. Language Resources and Evaluation. 745–748.3 indexed citations
McNaught, John. (1988). Computers and terminology. Research Explorer (The University of Manchester).1 indexed citations
18.
Bennett, Paul, et al.. (1986). Multilingual Aspects of Information Technology.4 indexed citations
19.
Sager, Juan C., Harold Somers, & John McNaught. (1982). Thesaurus integration in the social sciences:Part II: Stages towards integration. Research Explorer (The University of Manchester).1 indexed citations
20.
Sager, Juan C., Harold Somers, & John McNaught. (1981). Guidelines for the establishment of comparison and compatibility matrices between thesauri in the social sciences. UNESCO eBooks.1 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.