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 Portugal. Ralf Klinkenberg's co-authors include Martin Scholz, Ingo Mierswa, Thorsten Joachims, Michael Wurst, Stefan Rüping, Simon Fischer, João Gama, Jesús S. Aguilar–Ruiz, Jochen Deuse and Sebastian Fischer and has published in prestigious journals such as SHILAP Revista de lepidopterología, Intelligent Data Analysis and Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft).

In The Last Decade

Ralf Klinkenberg

22 papers receiving 1.4k citations

Hit Papers

YALE 2006 2026 2012 2019 2006 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. YALE
    2006 661 citations Ingo Mierswa, Michael Wurst et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ralf Klinkenberg 1.1k 318 232 208 194 22 1.6k
Dymitr Ruta 656 0.6× 244 0.8× 148 0.6× 140 0.7× 96 0.5× 61 1.6k
Konstantinos G. Margaritis 908 0.8× 341 1.1× 91 0.4× 202 1.0× 145 0.7× 117 1.5k
Aswani Kumar Cherukuri 871 0.8× 369 1.2× 333 1.4× 368 1.8× 237 1.2× 86 1.6k
Floriana Esposito 1.0k 0.9× 455 1.4× 219 0.9× 163 0.8× 106 0.5× 176 1.7k
Giorgio Terracina 661 0.6× 312 1.0× 128 0.6× 459 2.2× 128 0.7× 86 1.2k
Kenji Yamanishi 1.8k 1.6× 460 1.4× 478 2.1× 533 2.6× 108 0.6× 128 2.6k
Haiqin Yang 1.0k 0.9× 664 2.1× 221 1.0× 169 0.8× 166 0.9× 82 2.1k
Sohail Asghar 577 0.5× 351 1.1× 124 0.5× 163 0.8× 115 0.6× 128 1.2k
Ramasamy Uthurusamy 569 0.5× 478 1.5× 240 1.0× 120 0.6× 103 0.5× 23 1.2k
Hasan Bulut 872 0.8× 344 1.1× 79 0.3× 299 1.4× 60 0.3× 57 1.5k

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

20 of 20 papers shown
1.
Deuse, Jochen, et al.. (2023). Industrielle Datenanalyse. 2 indexed citations
2.
Boulogeorgos, Alexandros–Apostolos A., et al.. (2021). Machine Learning: A Catalyst for THz Wireless Networks. SHILAP Revista de lepidopterología. 2. 13 indexed citations
3.
Bereta, Konstantina, Dimitris Zissis, Elias Alevizos, et al.. (2021). Online Distributed Maritime Event Detection & Forecasting over Big Vessel Tracking Data. 2021 IEEE International Conference on Big Data (Big Data). 2052–2057. 5 indexed citations
4.
Schlunder, P., et al.. (2020). Conception of a Reference Architecture for Machine Learning in the Process Industry. 1726–1735. 6 indexed citations
5.
Atzmueller, Martin, et al.. (2016). Defining software architectures for big data enabled operator support systems. 5. 1288–1292. 11 indexed citations
6.
Wallis, Robert S., et al.. (2014). Data Mining-supported Generation of Assembly Process Plans. Procedia CIRP. 23. 178–183. 12 indexed citations
7.
Gama, João, Jesús S. Aguilar–Ruiz, & Ralf Klinkenberg. (2008). Knowledge discovery from data streams. Intelligent Data Analysis. 12(3). 251–252. 15 indexed citations
8.
Scholz, Martin & Ralf Klinkenberg. (2007). Boosting classifiers for drifting concepts. Intelligent Data Analysis. 11(1). 3–28. 54 indexed citations
9.
Klinkenberg, Ralf & Martin Scholz. (2006). Boosting classifiers for drifting concepts. Technische Universität Dortmund Eldorado (Technische Universität Dortmund). 11(1). 3–28. 72 indexed citations
10.
Mierswa, Ingo, et al.. (2006). YALE. 935–940. 661 indexed citations breakdown →
11.
Klinkenberg, Ralf. (2005). Meta-Learning, Model Selection, and Example Selection in Machine Learning Domains with Concept Drift.. LWA. 164–171. 20 indexed citations
12.
Klinkenberg, Ralf. (2004). Learning drifting concepts: Example selection vs. example weighting. Intelligent Data Analysis. 8(3). 281–300. 276 indexed citations
13.
Mierswa, Ingo, et al.. (2003). A Flexible Platform for Knowledge Discovery Experiments: YALE - Yet Another Learning Environment. 8 indexed citations
14.
Klinkenberg, Ralf & Stefan Rüping. (2003). Concept Drift and the Importance of Example.. 55–78. 23 indexed citations
15.
Klinkenberg, Ralf. (2003). Predicting Phases in Business Cycles Under Concept Drift. 4 indexed citations
16.
Klinkenberg, Ralf, et al.. (2002). YALE: Yet Another Learning Environment. Technische Universität Dortmund Eldorado (Technische Universität Dortmund). 25 indexed citations
17.
Klinkenberg, Ralf. (2001). Using Labeled and Unlabeled Data to Learn Drifting Concepts. 23 indexed citations
18.
Klinkenberg, Ralf & Thorsten Joachims. (2000). Detecting Concept Drift with Support Vector Machines. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 487–494. 263 indexed citations
19.
Klinkenberg, Ralf. (1998). Maschinelle Lernverfahren zum adaptiven Informationsfiltern bei sich verändernden Konzepten. Technische Universität Dortmund Eldorado (Technische Universität Dortmund). 3 indexed citations
20.
Klinkenberg, Ralf, et al.. (1998). Adaptive Information Filtering: Learning in the Presence of Concept Drifts. 91 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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