Max Bramer

2.1k total citations
69 papers, 668 citations indexed

About

Max Bramer is a scholar working on Artificial Intelligence, Information Systems and Developmental and Educational Psychology. According to data from OpenAlex, Max Bramer has authored 69 papers receiving a total of 668 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 9 papers in Information Systems and 6 papers in Developmental and Educational Psychology. Recurrent topics in Max Bramer's work include Data Mining Algorithms and Applications (8 papers), Machine Learning and Data Classification (7 papers) and Artificial Intelligence in Games (7 papers). Max Bramer is often cited by papers focused on Data Mining Algorithms and Applications (8 papers), Machine Learning and Data Classification (7 papers) and Artificial Intelligence in Games (7 papers). Max Bramer collaborates with scholars based in United Kingdom, United States and Germany. Max Bramer's 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 Rajan Amin and has published in prestigious journals such as Nature, IEEE Access and Computers & Education.

In The Last Decade

Max Bramer

67 papers receiving 603 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Max Bramer United Kingdom 12 354 192 64 60 51 69 668
Derek Partridge United Kingdom 16 435 1.2× 118 0.6× 47 0.7× 89 1.5× 33 0.6× 71 799
Moninder Singh United States 17 560 1.6× 162 0.8× 92 1.4× 55 0.9× 94 1.8× 53 958
Seppo Puuronen Finland 14 472 1.3× 156 0.8× 64 1.0× 30 0.5× 54 1.1× 51 755
Tapan Kumar Das India 14 250 0.7× 173 0.9× 109 1.7× 45 0.8× 76 1.5× 48 618
James G. Shanahan United States 10 599 1.7× 299 1.6× 108 1.7× 45 0.8× 67 1.3× 34 901
S. Vijayarani India 11 340 1.0× 155 0.8× 56 0.9× 31 0.5× 28 0.5× 57 551
Sabbir M. Rashid United States 5 498 1.4× 159 0.8× 61 1.0× 50 0.8× 140 2.7× 17 790
Lawrence Shih United States 5 490 1.4× 269 1.4× 52 0.8× 24 0.4× 28 0.5× 7 723
C. J. Carmona Spain 16 654 1.8× 385 2.0× 38 0.6× 111 1.9× 60 1.2× 46 914

Countries citing papers authored by Max Bramer

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Max Bramer

This figure shows the co-authorship network connecting the top 25 collaborators of Max Bramer. A scholar is included among the top collaborators of Max Bramer 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 Max Bramer. Max Bramer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Stahl, Frederic, et al.. (2021). ReG-Rules: An Explainable Rule-Based Ensemble Learner for Classification. IEEE Access. 9. 52015–52035. 9 indexed citations
2.
Bramer, Max, Richard Ellis, & Miltos Petridis. (2009). Research and Development in Intelligent Systems XXVI: Incorporating Applications and Innovations in Intelligent Systems XVII. DIAL (Catholic University of Leuven). 12 indexed citations
3.
Bramer, Max. (2009). Artificial Intelligence in Theory and Practice: IFIP 19th World Computer Congress, TC 12 IFIP AI 2006 Stream, August 21-24, 2006, Santiago, Chile. CERN Document Server (European Organization for Nuclear Research). 520–520. 1 indexed citations
4.
Iliadis, Lazaros, et al.. (2009). Artificial Intelligence Applications and Innovations: Proceedings of the 5th IFIP Conference on Artificial Intelligence Applications and Innovations. Springer eBooks. 2 indexed citations
6.
Bramer, Max, Frans Coenen, & Andrew Tuson. (2007). Research and Development in Intelligent Systems XXIII: Proceedings of AI-2006, The Twenty-sixth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 1 indexed citations
7.
Bramer, Max. (2007). Principles of Data Mining (Undergraduate Topics in Computer Science). Springer eBooks. 19 indexed citations
8.
Bramer, Max, et al.. (2006). Research and Development in Intelligent Systems XXII: Proceedingas of AI-2005, the Twenty-fifth SGAI International Conference on Innovative Techniques ... of Artificial Intelligence (BCS Conference). Springer eBooks. 1 indexed citations
9.
Bramer, Max, et al.. (2006). Research and Development in Intelligent Systems XXII. DIAL (Catholic University of Leuven). 6 indexed citations
10.
Bramer, Max & Vagan Terziyan. (2005). Industrial applications of semantic Web : proceedings of the 1st IFIP WG 12.5 Working Conference on Industrial Applications of Semantic Web, August 25-27, 2005, Jyväskylä, Finland. Springer eBooks. 3 indexed citations
11.
Bramer, Max & Vladan Devedžić. (2004). Artificial intelligence applications and innovations : IFIP 18th World Computer Congress : TC12 First International Conference on Artificial Intelligence Applications and Innovations (AIAI-2004), 22-27 August 2004, Toulouse, France. Kluwer Academic Publishers eBooks. 1 indexed citations
12.
Bramer, Max & Vladan Devedžić. (2004). Artificial Intelligence Applications and Innovations. IFIP International Federation for Information Processing/IFIP. 2 indexed citations
13.
Bramer, Max, Alun Preece, & Frans Coenen. (2002). Research and development in intelligent systems XVIII : proceedings of ES2001, the twenty-first SGES International Conference on Knowledge Based Systems and Applied Artificial Intelligence, Cambridge, December 2001. Springer eBooks. 4 indexed citations
14.
Bramer, Max, et al.. (2000). Research and development in intelligent systems XVI : proceedings of ES99, the nineteenth SGES International Conference on Knowledge-Based Systems and Applied Artificial Intelligence, Cambridge, December 1999. Springer eBooks. 2 indexed citations
15.
Milne, Robert, et al.. (1999). Applications and innovations in expert systems VI : proceedings of ES98, the Eighteenth Annual International Conference of the British Computer Society Specialist Group on Expert Systems, Cambridge, December 1998. Springer eBooks. 1 indexed citations
16.
Bramer, Max. (1990). Practical Experience in Building Expert Systems. John Wiley & Sons, Inc. eBooks. 8 indexed citations
17.
Bramer, Max, et al.. (1989). FAUST: an expert system for diagnosing faults in an electricity supply system. Anais Brasileiros de Dermatologia. 94(2). 224–226. 7 indexed citations
18.
Bramer, Max, et al.. (1984). The Fifth Generation. An annotated bibliography. Addison-Wesley eBooks. 2 indexed citations
19.
Bramer, Max. (1983). Computer Game - Playing: Theory and Practice. CERN Document Server (European Organization for Nuclear Research). 14 indexed citations
20.
Bramer, Max. (1979). Testing correctness of strategies in game-playing programs. International Joint Conference on Artificial Intelligence. 92–94. 1 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.

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