Mark Michael Hall

29.5k citations
130 papers · 23.8k · 5 hit papers · h-index 25

Impact in

    • Machine Learning and Data Classification
    • Topic Modeling
    • Imbalanced Data Classification Techniques
    • Text and Document Classification Technologies
    • Natural Language Processing Techniques

Papers in

    • Information Retrieval and Search Behavior 22
    • Web Data Mining and Analysis 15
    • Data Mining Algorithms and Applications 12
    • Recommender Systems and Techniques 10
    • Semantic Web and Ontologies 22
    • Machine Learning and Data Classification 11

Mark Michael Hall

121 papers receiving 22.5k citations

Mark Michael Hall's Hit Papers

A practical approach to measuring user engagement with the refined user engagement scale (UES) and new UES short form 2018 · 709 citations
7090+9+18Years since publication4.0k8.0k12.0k

Peers

Mark Michael Hall
Comparison fields: 5 of 230
  • Artificial Intelligence 10.4k
  • Signal Processing 2.7k
  • Information Systems 4.7k
  • Software 722
  • Computer Vision and Pattern Recognition 3.6k
Replace Geoffrey Holmes with:
Geoffrey Holmes New Zealand
Bernhard Pfahringer New Zealand
Ron Kohavi United States
Lior Rokach Israel
Peter Reutemann New Zealand
Tom M. Mitchell United States
Yoav Freund United States
Thomas G. Dietterich United States
Mark A. Hall United States
Lawrence Hall United States
Mark Michael Hall relative to Geoffrey Holmes New Zealand Geoffrey Holmes's profile →
Citations per field
00.5×1.5×
Geoffrey Holmes · 1×
Citations per year

Countries citing papers authored by Mark Michael Hall

Since Specialization
Citations

This map shows the geographic impact of Mark Michael 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 Michael 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 Michael Hall more than expected).

Fields of papers citing papers by Mark Michael Hall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark Michael 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 Michael Hall. The network helps show where Mark Michael Hall may publish in the future.

Co-authors

The 25 scholars most cited alongside Mark Michael Hall, 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 Mark Michael Hall Line = papers co-authored together Mark Michael Hall links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 130 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The WEKA data mining software
Hit paper breakdown →
200914859
2
Correlation-based Feature Selection for Machine Learning
Hit paper breakdown →
19982810
3
Logistic Model Trees
Hit paper breakdown →
2005999
4
Data mining in bioinformatics using Weka
Hit paper breakdown →
2004751
5
A practical approach to measuring user engagement with the refined user engagement scale (UES) and new UES short form
Hit paper breakdown →
2018709
6 2001454
7 2004424
8 2009353
9 2005218
10 2009216
11 1999211
12 2001163
13 2003158
14 2002153
15 2006148
16 2003117
17 201581
18 201851
19 197049
20 200442

About Mark Michael Hall

Mark Michael Hall is a scholar working on Information Systems, Artificial Intelligence, Information Systems and Management, Geography, Planning and Development and Computer Vision and Pattern Recognition, having authored 130 papers that have together received 23.8k indexed citations. Recurring topics across this work include Information Retrieval and Search Behavior (22 papers), Semantic Web and Ontologies (22 papers), Web Data Mining and Analysis (15 papers), Geographic Information Systems Studies (14 papers), Data Mining Algorithms and Applications (12 papers), Machine Learning and Data Classification (11 papers), Recommender Systems and Techniques (10 papers) and Data Management and Algorithms (8 papers). The work is most often cited by research in Artificial Intelligence (10.4k citations), Signal Processing (2.7k citations), Information Systems (4.7k citations), Software (722 citations) and Computer Vision and Pattern Recognition (3.6k citations). Mark Michael Hall has collaborated with scholars based in United Kingdom, Germany and New Zealand. Frequent co-authors include Eibe Frank, Geoffrey Holmes, Ian H. Witten, Bernhard Pfahringer, Peter Reutemann, Niels Landwehr, Paul A. Cairns, Heather L. O'Brien, Len Trigg and Anthony McGregor. Their work appears in journals such as Lecture notes in computer science, British Journal of Dermatology, International Journal of Human-Computer Studies, International Journal on Digital Libraries and Journal of Pharmacy and Pharmacology.

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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