Nicolas Cebron

2.7k total citations · 1 hit paper
14 papers, 979 citations indexed

About

Nicolas Cebron is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Nicolas Cebron has authored 14 papers receiving a total of 979 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 2 papers in Computer Networks and Communications. Recurrent topics in Nicolas Cebron's work include Machine Learning and Algorithms (8 papers), Machine Learning and Data Classification (4 papers) and Image Retrieval and Classification Techniques (3 papers). Nicolas Cebron is often cited by papers focused on Machine Learning and Algorithms (8 papers), Machine Learning and Data Classification (4 papers) and Image Retrieval and Classification Techniques (3 papers). Nicolas Cebron collaborates with scholars based in Germany and United States. Nicolas Cebron's co-authors include Michael R. Berthold, Fabian Dill, Kilian Thiel, Thomas R. Gabriel, Tobias Kötter, Thorsten Meinl, Bernd Wiswedel, Rainer Lienhart and Deva Ramanan and has published in prestigious journals such as Fuzzy Sets and Systems, IEEE Transactions on Multimedia and Data Mining and Knowledge Discovery.

In The Last Decade

Nicolas Cebron

12 papers receiving 936 citations

Hit Papers

align trajectories

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.

KNIME - the Konstanz information miner

2009 775 citations Michael R. Berthold, Nicolas Cebron et al. ACM SIGKDD Explorations Newsletter profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nicolas Cebron Germany	6	337	224	196	114	99	14	979
Kilian Thiel Germany	7	338 1.0×	229 1.0×	182 0.9×	124 1.1×	102 1.0×	10	942
Tobias Kötter Germany	8	346 1.0×	231 1.0×	173 0.9×	134 1.2×	108 1.1×	15	1.1k
Thomas R. Gabriel Germany	6	337 1.0×	235 1.0×	180 0.9×	124 1.1×	99 1.0×	9	932
Fabian Dill Germany	3	337 1.0×	224 1.0×	148 0.8×	111 1.0×	99 1.0×	4	895
Bernd Wiswedel Germany	10	441 1.3×	299 1.3×	203 1.0×	139 1.2×	131 1.3×	17	1.1k
Thorsten Meinl Germany	11	487 1.4×	396 1.8×	190 1.0×	183 1.6×	119 1.2×	29	1.2k
Ye Li China	17	353 1.0×	171 0.8×	128 0.7×	118 1.0×	26 0.3×	71	1.2k
David Wild United States	26	1.2k 3.5×	896 4.0×	358 1.8×	131 1.1×	110 1.1×	93	2.1k
Dexter Pratt United States	17	659 2.0×	147 0.7×	241 1.2×	74 0.6×	29 0.3×	31	1.1k
Michael Wurst Germany	8	235 0.7×	77 0.3×	387 2.0×	199 1.7×	33 0.3×	18	1.1k

Countries citing papers authored by Nicolas Cebron

Since Specialization

Citations

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

Fields of papers citing papers by Nicolas Cebron

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicolas Cebron

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

All Works

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14 of 14 papers shown

1.

Cebron, Nicolas, et al.. (2021). FOVEA: Foveated Image Magnification for Autonomous Navigation. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 15519–15528. 14 indexed citations

2.

Cebron, Nicolas, et al.. (2012). “I can tell you what it’s not”: active learning from counterexamples. Progress in Artificial Intelligence. 1(4). 291–301. 4 indexed citations

3.

Cebron, Nicolas, et al.. (2012). Learning to Reassemble Shredded Documents. IEEE Transactions on Multimedia. 15(3). 582–593. 19 indexed citations

4.

Cebron, Nicolas, et al.. (2012). DECISION TREE INDUCTION FROM COUNTEREXAMPLES. OPUS (Augsburg University). 525–528. 3 indexed citations

5.

Cebron, Nicolas. (2010). Active Improvement of Hierarchical Object Features under Budget Constraints. OPUS (Augsburg University). 6. 761–766.

6.

Cebron, Nicolas & Michael R. Berthold. (2010). Active learning in parallel universes. KOPS (University of Konstanz). 1621–1624. 3 indexed citations

7.

Berthold, Michael R., Nicolas Cebron, Fabian Dill, et al.. (2009). KNIME - the Konstanz information miner. ACM SIGKDD Explorations Newsletter. 11(1). 26–31. 775 indexed citations breakdown →

8.

Meinl, Thorsten, Nicolas Cebron, Thomas R. Gabriel, et al.. (2009). The Konstanz Information Miner 2.0. KOPS (University of Konstanz). 2 indexed citations

9.

Cebron, Nicolas & Michael R. Berthold. (2008). Adaptive prototype-based fuzzy classification. Fuzzy Sets and Systems. 159(21). 2806–2818. 3 indexed citations

10.

Cebron, Nicolas & Michael R. Berthold. (2008). Active learning for object classification: from exploration to exploitation. Data Mining and Knowledge Discovery. 18(2). 283–299. 36 indexed citations

11.

Cebron, Nicolas & Michael R. Berthold. (2007). An Adaptive Multi Objective Selection Strategy for Active Learning. KOPS (University of Konstanz). 1 indexed citations

12.

Cebron, Nicolas & Michael R. Berthold. (2006). Adaptive Fuzzy Clustering. KOPS (University of Konstanz). 220. 188–193. 5 indexed citations

13.

Berthold, Michael R., Nicolas Cebron, Fabian Dill, et al.. (2006). KNIME: The Konstanz Information Miner. CentAUR (University of Reading). 112 indexed citations

14.

Cebron, Nicolas & Michael R. Berthold. (2005). Mining of Cell Assay Images Using Active Semi-Supervised Clustering. KOPS (University of Konstanz). 63–69. 2 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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