Jürgen Beringer

693 total citations
5 papers, 308 citations indexed

About

Jürgen Beringer is a scholar working on Artificial Intelligence, Signal Processing and Information Systems. According to data from OpenAlex, Jürgen Beringer has authored 5 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Signal Processing and 2 papers in Information Systems. Recurrent topics in Jürgen Beringer's work include Data Stream Mining Techniques (2 papers), Advanced Clustering Algorithms Research (2 papers) and Data Mining Algorithms and Applications (2 papers). Jürgen Beringer is often cited by papers focused on Data Stream Mining Techniques (2 papers), Advanced Clustering Algorithms Research (2 papers) and Data Mining Algorithms and Applications (2 papers). Jürgen Beringer collaborates with scholars based in Germany. Jürgen Beringer's co-authors include Eyke Hüllermeier and has published in prestigious journals such as International Journal of Intelligent Systems, Data & Knowledge Engineering and Intelligent Data Analysis.

In The Last Decade

Jürgen Beringer

5 papers receiving 281 citations

Author Peers

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

Author						Papers	Cites
Jürgen Beringer	265	98	76	30	30	5	308
Hong Jia	251 0.9×	44 0.4×	138 1.8×	13 0.4×	55 1.8×	12	309
G. Phanendra Babu	184 0.7×	42 0.4×	116 1.5×	12 0.4×	27 0.9×	13	291
Philipp Kranen	439 1.7×	237 2.4×	69 0.9×	101 3.4×	82 2.7×	16	533
Yajian Zhou	195 0.7×	62 0.6×	95 1.3×	104 3.5×	46 1.5×	45	307
Yew-Kwong Woon	257 1.0×	114 1.2×	31 0.4×	62 2.1×	91 3.0×	9	339
Prodip Hore	269 1.0×	84 0.9×	140 1.8×	26 0.9×	32 1.1×	8	318
Mahboubeh Nazari	105 0.4×	61 0.6×	229 3.0×	120 4.0×	62 2.1×	12	377
Z.J. Wang	117 0.4×	115 1.2×	480 6.3×	37 1.2×	72 2.4×	14	558
Ignazio Pillai	369 1.4×	100 1.0×	133 1.8×	115 3.8×	230 7.7×	14	485
Bruno Crémilleux	147 0.6×	82 0.8×	29 0.4×	30 1.0×	141 4.7×	25	258

Countries citing papers authored by Jürgen Beringer

Since Specialization

Citations

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

Fields of papers citing papers by Jürgen Beringer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jürgen Beringer

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

All Works

Sort: Min cites: Since: Top N: Style:

5 of 5 papers shown

1.

Beringer, Jürgen & Eyke Hüllermeier. (2008). Case-based learning in a bipolar possibilistic framework. International Journal of Intelligent Systems. 23(10). 1119–1134. 6 indexed citations

2.

Beringer, Jürgen & Eyke Hüllermeier. (2007). Adaptive Optimization of the Number of Clusters in Fuzzy Clustering. Proceedings of ... IEEE International Conference on Fuzzy Systems. 1–6. 12 indexed citations

3.

Beringer, Jürgen & Eyke Hüllermeier. (2007). Efficient instance-based learning on data streams. Intelligent Data Analysis. 11(6). 627–650. 36 indexed citations

4.

Hüllermeier, Eyke & Jürgen Beringer. (2006). Learning from ambiguously labeled examples*. Intelligent Data Analysis. 10(5). 419–439. 101 indexed citations

5.

Beringer, Jürgen & Eyke Hüllermeier. (2005). Online clustering of parallel data streams. Data & Knowledge Engineering. 58(2). 180–204. 153 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