Max Bramer
Impact in
- Artificial Intelligence top 5%
- Imbalanced Data Classification Techniques
- Machine Learning and Data Classification
- AI-based Problem Solving and Planning
- Data Stream Mining Techniques
- Semantic Web and Ontologies
- Anomaly Detection Techniques and Applications
- Information Systems top 5%
- Data Mining Algorithms and Applications
Papers in
-
- Artificial Intelligence in Games 7
- Machine Learning and Data Classification 7
- Imbalanced Data Classification Techniques 6
- Data Stream Mining Techniques 5
-
- Data Mining Algorithms and Applications 8
- Co-authors
- Robert Milne (3 shared papers)Frederic Stahl (9 shared papers)Miltos Petridis (6 shared papers)Harris Papadopoulos (1 shared paper)Frans Coenen (6 shared papers)Adrian A. Hopgood (1 shared paper)Philip S. Yu (2 shared papers)Mohamed Medhat Gaber (2 shared papers)
- Journals
- Knowledge-Based Systems (6 papers)Applied Intelligence (1 paper)International Journal of Systems Science (1 paper)Computers & Education (1 paper)The Knowledge Engineering Review (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Max Bramer
67 papers receiving 609 citations
Peers
Comparison fields: 5 of 133
- Artificial Intelligence 357
- Information Systems 193
- Health Information Management 27
- Signal Processing 48
- Software 16
Countries citing papers authored by Max Bramer
This map shows the geographic impact of Max Bramer'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 Max Bramer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Max Bramer more than expected).
Fields of papers citing papers by Max Bramer
This network shows the impact of papers produced by Max Bramer. 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 Max Bramer. The network helps show where Max Bramer may publish in the future.
Co-authors
The 21 scholars most cited alongside Max Bramer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 178 | |
| 2 | 1993 | 67 | |
| 3 | 2002 | 40 | |
| 4 | 2013 | 20 | |
| 5 | Principles of Data Mining (Undergraduate Topics in Computer Science) | 2007 | 19 |
| 6 | 2010 | 18 | |
| 7 | 2009 | 17 | |
| 8 | 2010 | 17 | |
| 9 | 2010 | 16 | |
| 10 | Computer Game - Playing: Theory and Practice | 1983 | 14 |
| 11 | 2009 | 13 | |
| 12 | 2012 | 12 | |
| 13 | 2021 | 11 | |
| 14 | 2003 | 10 | |
| 15 | 2011 | 10 | |
| 16 | 2011 | 10 | |
| 17 | 1988 | 9 | |
| 18 | 2013 | 9 | |
| 19 | 2012 | 9 | |
| 20 | 2005 | 9 |
About Max Bramer
Max Bramer is a scholar working on Artificial Intelligence, Information Systems, Developmental and Educational Psychology, Computational Theory and Mathematics and Economics and Econometrics, having authored 69 papers that have together received 671 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (8 papers), Artificial Intelligence in Games (7 papers), Machine Learning and Data Classification (7 papers), Educational Games and Gamification (6 papers), Imbalanced Data Classification Techniques (6 papers), Data Stream Mining Techniques (5 papers), Sports Analytics and Performance (4 papers) and Rough Sets and Fuzzy Logic (4 papers). The work is most often cited by research in Artificial Intelligence (357 citations), Information Systems (193 citations), Health Information Management (27 citations), Signal Processing (48 citations) and Software (16 citations). Max Bramer has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Robert Milne, Frederic Stahl, Miltos Petridis, Harris Papadopoulos, Frans Coenen, Adrian A. Hopgood, Philip S. Yu, Mohamed Medhat Gaber, Richard Ellis and R.H. Emslie. Their work appears in journals such as Knowledge-Based Systems, Applied Intelligence, International Journal of Systems Science, Computers & Education and The Knowledge Engineering Review.
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.