Max Bramer
Impact in
- Artificial Intelligence top 2%
- Machine Learning and Data Classification
- Imbalanced Data Classification Techniques
- Data Stream Mining Techniques
- Anomaly Detection Techniques and Applications
- Fuzzy Logic and Control Systems
- AI-based Problem Solving and Planning
- Information Systems top 2%
- Data Mining Algorithms and Applications
Papers in
-
- Machine Learning and Data Classification 21
- Data Stream Mining Techniques 15
- Imbalanced Data Classification Techniques 13
- Artificial Intelligence in Games 9
- Anomaly Detection Techniques and Applications 6
-
- Data Mining Algorithms and Applications 29
- Co-authors
- Frederic Theodor Stahl (24 shared papers)Robert W. Milne (2 shared papers)Miltos Petridis (8 shared papers)A. P. White (1 shared paper)Frans Coenen (8 shared papers)Mo Adda (5 shared papers)Mohamed Medhat Gaber (6 shared papers)Houda Benbrahim (5 shared papers)
- Journals
- Knowledge-Based Systems (5 papers)Lecture notes in computer science (13 papers)Computers & Education (1 paper)The Knowledge Engineering Review (1 paper)IEEE Access (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Max Bramer
118 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 157
- Artificial Intelligence 859
- Information Systems 498
- Computational Theory and Mathematics 202
- Health Information Management 47
- Signal Processing 119
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 25 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 121 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 203 | |
| 2 | 1993 | 108 | |
| 3 | 2016 | 68 | |
| 4 | 2013 | 62 | |
| 5 | 1997 | 58 | |
| 6 | 2002 | 50 | |
| 7 | 2020 | 42 | |
| 8 | 2000 | 40 | |
| 9 | 2002 | 33 | |
| 10 | 2013 | 31 | |
| 11 | 2010 | 27 | |
| 12 | 2010 | 26 | |
| 13 | 2007 | 25 | |
| 14 | 2013 | 24 | |
| 15 | 2012 | 24 | |
| 16 | Principles of Data Mining (Undergraduate Topics in Computer Science) | 2007 | 20 |
| 17 | 2005 | 20 | |
| 18 | 2009 | 19 | |
| 19 | 2011 | 19 | |
| 20 | Computer Game - Playing: Theory and Practice | 1983 | 17 |
About Max Bramer
Max Bramer is a scholar working on Artificial Intelligence, Information Systems, Computational Theory and Mathematics, Computer Networks and Communications and Developmental and Educational Psychology, having authored 121 papers that have together received 1.4k indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (29 papers), Machine Learning and Data Classification (21 papers), Rough Sets and Fuzzy Logic (19 papers), Data Stream Mining Techniques (15 papers), Imbalanced Data Classification Techniques (13 papers), Artificial Intelligence in Games (9 papers), Educational Games and Gamification (6 papers) and Anomaly Detection Techniques and Applications (6 papers). The work is most often cited by research in Artificial Intelligence (859 citations), Information Systems (498 citations), Computational Theory and Mathematics (202 citations), Health Information Management (47 citations) and Signal Processing (119 citations). Max Bramer has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Frederic Theodor Stahl, Robert W. Milne, Miltos Petridis, A. P. White, Frans Coenen, Mo Adda, Mohamed Medhat Gaber, Houda Benbrahim, Philip S. Yu and Adrian A. Hopgood. Their work appears in journals such as Knowledge-Based Systems, Lecture notes in computer science, Computers & Education, The Knowledge Engineering Review and IEEE Access.
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.