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.
The WEKA data mining software
200912.7k citationsMark Hall, Eibe Frank et al.ACM SIGKDD Explorations Newsletterprofile →
This map shows the geographic impact of Mark Hall'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 Mark Hall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Hall more than expected).
This network shows the impact of papers produced by Mark Hall. 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 Mark Hall. The network helps show where Mark Hall may publish in the future.
Co-authorship network of co-authors of Mark Hall
This figure shows the co-authorship network connecting the top 25 collaborators of Mark Hall.
A scholar is included among the top collaborators of Mark Hall 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 Mark Hall. Mark Hall is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
O’Brien, Heather L., Paul Cairns, & Mark Hall. (2018). A practical approach to measuring user engagement with the refined user engagement scale (UES) and new UES short form. International Journal of Human-Computer Studies. 112. 28–39.538 indexed citations breakdown →
7.
Bogers, Toine, et al.. (2017). Lessons learned from the CHiC and SBS interactive tracks: A wishlist for interactive IR evaluation. Open Research Online (The Open University). 1798. 12–15.3 indexed citations
Hall, Mark, et al.. (2015). Edge Hill Computing @ Interactive Social Book Search 2015. Open Research Online (The Open University).1 indexed citations
10.
Hall, Mark, Hugo Huurdeman, Jaap Kamps, et al.. (2015). First Workshop on Supporting Complex Search Tasks. UvA-DARE (University of Amsterdam).5 indexed citations
11.
Toms, Elaine G. & Mark Hall. (2013). The CHiC Interactive Task (CHiCi) at CLEF2013. Open Research Online (The Open University).4 indexed citations
12.
Carterette, Ben, et al.. (2013). Overview of the TREC 2013 Session Track. Text REtrieval Conference.26 indexed citations
13.
Hall, Mark, Robert Villa, Sophie Rutter, et al.. (2013). Sheffield Submission to the CHiC Interactive Task: Exploring Digital Cultural Heritage.. CLEF (Working Notes).2 indexed citations
14.
Agirre, Eneko, Νικόλαος Αλέτρας, Paul Clough, et al.. (2013). PATHS: A System for Accessing Cultural Heritage Collections. Edge Hill University Research Information Repository (Edge Hill University). 151–156.8 indexed citations
15.
Fernando, Samuel, Mark Hall, Eneko Agirre, et al.. (2012). Comparing taxonomies for organising collections of documents. Edge Hill University Research Information Repository (Edge Hill University).6 indexed citations
16.
Agirre, Eneko, et al.. (2012). The Sheffield and Basque Country Universities Entry to CHiC: Using Random Walks and Similarity to Access Cultural Heritage. Open Research Online (The Open University).1 indexed citations
17.
Hall, Mark, Oier López de Lacalle, Aitor Soroa, Paul Clough, & Eneko Agirre. (2012). Enabling the Discovery of Digital Cultural Heritage Objects through Wikipedia. Open Research Online (The Open University). 94–100.6 indexed citations
18.
Hall, Mark, Eibe Frank, Geoffrey Holmes, et al.. (2009). The WEKA data mining software. ACM SIGKDD Explorations Newsletter. 11(1). 10–18.12731 indexed citations breakdown →
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.