Ralf Klinkenberg

2.5k total citations · 1 hit paper
22 papers, 1.6k citations indexed

About

Ralf Klinkenberg is a scholar working on Artificial Intelligence, Management Science and Operations Research and Information Systems. According to data from OpenAlex, Ralf Klinkenberg has authored 22 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 6 papers in Management Science and Operations Research and 4 papers in Information Systems. Recurrent topics in Ralf Klinkenberg's work include Data Stream Mining Techniques (10 papers), Machine Learning and Data Classification (6 papers) and Advanced Bandit Algorithms Research (4 papers). Ralf Klinkenberg is often cited by papers focused on Data Stream Mining Techniques (10 papers), Machine Learning and Data Classification (6 papers) and Advanced Bandit Algorithms Research (4 papers). Ralf Klinkenberg collaborates with scholars based in Germany, Greece and France. Ralf Klinkenberg's co-authors include Martin Scholz, Ingo Mierswa, Michael Wurst, Thorsten Joachims, Stefan Rüping, Simon Fischer, João Gama, Jesús S. Aguilar–Ruiz, Jochen Deuse and Marco Di Renzo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Intelligent Data Analysis and OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).

In The Last Decade

Ralf Klinkenberg

22 papers receiving 1.4k citations

Hit Papers

align trajectories

Peers

Countries citing papers authored by Ralf Klinkenberg

Since Specialization

Citations

This map shows the geographic impact of Ralf Klinkenberg'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 Ralf Klinkenberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ralf Klinkenberg more than expected).

Fields of papers citing papers by Ralf Klinkenberg

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ralf Klinkenberg. 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 Ralf Klinkenberg. The network helps show where Ralf Klinkenberg may publish in the future.

Co-authorship network of co-authors of Ralf Klinkenberg

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Industrielle Datenanalyse 2023 ·Jochen Deuse, Ralf Klinkenberg, (unknown)	2
2	Machine Learning: A Catalyst for THz Wireless Networks 2021 ·SHILAP Revista de lepidopterología ·Alexandros–Apostolos A. Boulogeorgos, (unknown), Marco Di Renzo, Angeliki Alexiou, (unknown), Ralf Klinkenberg	13
3	Online Distributed Maritime Event Detection & Forecasting over Big Vessel Tracking Data 2021 ·2021 IEEE International Conference on Big Data (Big Data) ·(unknown), Konstantina Bereta, (unknown), Dimitris Zissis, Elias Alevizos, (unknown), Alexander Artikis, Antonios Deligiannakis, (unknown), Nikos Giatrakos, (unknown), (unknown), F. Temme, (unknown), Ralf Klinkenberg	5
4	Conception of a Reference Architecture for Machine Learning in the Process Industry 2020 ·(unknown), P. Schlunder, F. Temme, Ralf Klinkenberg, (unknown), (unknown), (unknown), Jochen Deuse	6
5	Defining software architectures for big data enabled operator support systems 2016 ·(unknown), (unknown), (unknown), (unknown), Martin Atzmueller, (unknown), Ralf Klinkenberg	11
6	Data Mining-supported Generation of Assembly Process Plans 2014 ·Procedia CIRP ·Robert S. Wallis, (unknown), Ralf Klinkenberg, Jochen Deuse, (unknown)	12
7	Knowledge discovery from data streams 2008 ·Intelligent Data Analysis ·João Gama, Jesús S. Aguilar–Ruiz, Ralf Klinkenberg	15
8	Boosting classifiers for drifting concepts 2007 ·Intelligent Data Analysis ·Martin Scholz, Ralf Klinkenberg	54
9	Boosting classifiers for drifting concepts 2006 ·Technische Universität Dortmund Eldorado (Technische Universität Dortmund) ·Ralf Klinkenberg, Martin Scholz	72
10	YALE breakdown → 2006 ·Ingo Mierswa, Michael Wurst, Ralf Klinkenberg, Martin Scholz, (unknown)	661
11	Meta-Learning, Model Selection, and Example Selection in Machine Learning Domains with Concept Drift. 2005 ·LWA ·Ralf Klinkenberg	20
12	Learning drifting concepts: Example selection vs. example weighting 2004 ·Intelligent Data Analysis ·Ralf Klinkenberg	276
13	A Flexible Platform for Knowledge Discovery Experiments: YALE - Yet Another Learning Environment 2003 ·Ingo Mierswa, Ralf Klinkenberg, Sebastian Fischer, (unknown)	8
14	Concept Drift and the Importance of Example. 2003 ·Ralf Klinkenberg, Stefan Rüping	23
15	YALE: Yet Another Learning Environment 2002 ·Technische Universität Dortmund Eldorado (Technische Universität Dortmund) ·(unknown), Ralf Klinkenberg, Ingo Mierswa, (unknown)	25
16	A Hybrid Approach to Feature Selection and Generation Using an Evolutionary Algorithm 2002 ·Technische Universität Dortmund Eldorado (Technische Universität Dortmund) ·Simon Fischer, Ralf Klinkenberg, Ingo Mierswa, (unknown)	22
17	Using Labeled and Unlabeled Data to Learn Drifting Concepts 2001 ·Ralf Klinkenberg	23
18	Detecting Concept Drift with Support Vector Machines 2000 ·Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) ·Ralf Klinkenberg, Thorsten Joachims	263
19	Maschinelle Lernverfahren zum adaptiven Informationsfiltern bei sich verändernden Konzepten 1998 ·Technische Universität Dortmund Eldorado (Technische Universität Dortmund) ·Ralf Klinkenberg	3
20	Adaptive Information Filtering: Learning in the Presence of Concept Drifts 1998 ·Ralf Klinkenberg, (unknown), (unknown), (unknown)	91

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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