Georg Krempl

617 total citations
14 papers, 301 citations indexed

About

Georg Krempl is a scholar working on Artificial Intelligence, Signal Processing and Control and Systems Engineering. According to data from OpenAlex, Georg Krempl has authored 14 papers receiving a total of 301 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 4 papers in Signal Processing and 1 paper in Control and Systems Engineering. Recurrent topics in Georg Krempl's work include Machine Learning and Data Classification (7 papers), Machine Learning and Algorithms (5 papers) and Data Stream Mining Techniques (5 papers). Georg Krempl is often cited by papers focused on Machine Learning and Data Classification (7 papers), Machine Learning and Algorithms (5 papers) and Data Stream Mining Techniques (5 papers). Georg Krempl collaborates with scholars based in Germany, Austria and Netherlands. Georg Krempl's co-authors include Vincent Lemaire, Myra Spiliopoulou, Indrė Žliobaitė, Eyke Hüllermeier, Thilo Noack, Mark Last, Jerzy Stefanowski, Dariusz Brzeziński, Ammar Shaker and Michael R. Berthold and has published in prestigious journals such as Expert Systems with Applications, Machine Learning and Computational Statistics & Data Analysis.

In The Last Decade

Georg Krempl

13 papers receiving 291 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Georg Krempl Germany 8 234 64 45 38 26 14 301
Shubhomoy Das United States 7 189 0.8× 48 0.8× 98 2.2× 29 0.8× 21 0.8× 9 250
Dinesh Gopalani India 13 287 1.2× 28 0.4× 51 1.1× 124 3.3× 41 1.6× 50 424
Sathiya Keerthi United States 8 161 0.7× 28 0.4× 61 1.4× 76 2.0× 30 1.2× 19 257
Evgenia Novikova Russia 10 204 0.9× 51 0.8× 163 3.6× 103 2.7× 40 1.5× 50 354
T. V. Suresh Kumar India 8 97 0.4× 53 0.8× 145 3.2× 105 2.8× 27 1.0× 39 267
Naif Almusallam Saudi Arabia 8 276 1.2× 37 0.6× 61 1.4× 65 1.7× 38 1.5× 23 398
Anand Mahendran India 10 71 0.3× 22 0.3× 65 1.4× 63 1.7× 29 1.1× 58 207
Yong-Feng Ge China 10 230 1.0× 17 0.3× 41 0.9× 43 1.1× 34 1.3× 29 338
Thanh T. L. Tran United States 7 168 0.7× 129 2.0× 141 3.1× 70 1.8× 22 0.8× 8 329

Countries citing papers authored by Georg Krempl

Since Specialization
Citations

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

Fields of papers citing papers by Georg Krempl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Georg Krempl

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

All Works

14 of 14 papers shown
1.
Krempl, Georg, et al.. (2021). Stream-based active learning for sliding windows under the influence of verification latency. Machine Learning. 111(6). 2011–2036. 13 indexed citations
2.
Feskens, Remco, et al.. (2020). Constructing and predicting school advice for academic achievement. Lirias (KU Leuven). 462–471. 8 indexed citations
3.
Berthold, Michael R., Ad Feelders, & Georg Krempl. (2020). Advances in Intelligent Data Analysis XVIII. Lecture notes in computer science. 17 indexed citations
4.
Calma, Adrian, et al.. (2017). Challenges of Reliable, Realistic and Comparable Active Learning Evaluation. Data Archiving and Networked Services (DANS). 2–14. 11 indexed citations
5.
Krempl, Georg, et al.. (2016). Investigating Exploratory Capabilities of Uncertainty Sampling using SVMs in Active Learning.. 25–34.
6.
Krempl, Georg, et al.. (2015). Predicting the post-treatment recovery of patients suffering from traumatic brain injury (TBI). Brain Informatics. 2(1). 33–44. 4 indexed citations
7.
Beyer, Christian, Georg Krempl, & Vincent Lemaire. (2015). How to select information that matters. 1–8. 4 indexed citations
8.
Krempl, Georg. (2015). Temporal density extrapolation. 77–83. 1 indexed citations
9.
Krempl, Georg, et al.. (2015). Optimised probabilistic active learning (OPAL). Machine Learning. 100(2-3). 449–476. 29 indexed citations
10.
Krempl, Georg, Indrė Žliobaitė, Dariusz Brzeziński, et al.. (2014). Open challenges for data stream mining research. ACM SIGKDD Explorations Newsletter. 16(1). 1–10. 170 indexed citations
11.
Krempl, Georg, et al.. (2012). Drift mining in data: A framework for addressing drift in classification. Computational Statistics & Data Analysis. 57(1). 377–391. 21 indexed citations
12.
Krempl, Georg, et al.. (2012). A hierarchical tree layout algorithm with an application to corporate management in a change process. Expert Systems with Applications. 39(15). 12123–12130. 1 indexed citations
13.
Krempl, Georg, et al.. (2011). Classification in Presence of Drift and Latency. SSRN Electronic Journal. 1 indexed citations
14.
Krempl, Georg, et al.. (2011). Classification in Presence of Drift and Latency. 596–603. 21 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Shubhomoy Das Breakdown of academic impact, for papers by Dinesh Gopalani Breakdown of academic impact, for papers by Sathiya Keerthi Breakdown of academic impact, for papers by Evgenia Novikova Breakdown of academic impact, for papers by T. V. Suresh Kumar Breakdown of academic impact, for papers by Naif Almusallam Breakdown of academic impact, for papers by Anand Mahendran Breakdown of academic impact, for papers by Yong-Feng Ge Breakdown of academic impact, for papers by Thanh T. L. Tran
Rankless by CCL
2026