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.
Countries citing papers authored by Niall M. Adams
Since
Specialization
Citations
This map shows the geographic impact of Niall M. Adams'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 Niall M. Adams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Niall M. Adams more than expected).
This network shows the impact of papers produced by Niall M. Adams. 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 Niall M. Adams. The network helps show where Niall M. Adams may publish in the future.
Co-authorship network of co-authors of Niall M. Adams
This figure shows the co-authorship network connecting the top 25 collaborators of Niall M. Adams.
A scholar is included among the top collaborators of Niall M. Adams 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 Niall M. Adams. Niall M. Adams is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Evangelou, Marina & Niall M. Adams. (2016). Predictability of NetFlow data. Spiral (Imperial College London). 67–72.5 indexed citations
9.
Ross, Gordon J. & Niall M. Adams. (2013). Two nonparametric control charts for detecting arbitrary distribution changes. Quality Engineering. 58(5). 435–436.8 indexed citations
10.
Pavlidis, Nicos G., Dimitris K. Tasoulis, Niall M. Adams, & David J. Hand. (2012). Adaptive consumer credit classification. Journal of the Operational Research Society. 63(12). 1645–1654.19 indexed citations
Adams, Niall M., Céline Robardet, Arno Siebes, & Jean‐François Boulicaut. (2009). Proceedings of the 8th International Symposium on Intelligent Data Analysis: Advances in Intelligent Data Analysis VIII.
15.
Pavlidis, Nicos G., Dimitris K. Tasoulis, Niall M. Adams, & David J. Hand. (2008). Dynamic Multi-Armed Bandit with Covariates. Lancaster EPrints (Lancaster University). 777–778.2 indexed citations
Hand, David J., Niall M. Adams, & Richard J. Bolton. (2002). Pattern detection and discovery : ESF Exploratory Workshop, London, UK, September 16-19, 2002 : proceedings. Springer eBooks.1 indexed citations
18.
Cohen, Paul R., Tim Oates, Carole R. Beal, & Niall M. Adams. (2002). Contentful mental states for robot baby. National Conference on Artificial Intelligence. 126–131.14 indexed citations
19.
Hand, David J., Niall M. Adams, & Richard J. Bolton. (2002). Proceedings of the ESF Exploratory Workshop on Pattern Detection and Discovery.2 indexed citations
20.
Kelly, Mark G., David J. Hand, & Niall M. Adams. (1998). Defining the goals to optimise data mining performance. Knowledge Discovery and Data Mining. 234–238.4 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.