Christian Döring

603 total citations
10 papers, 360 citations indexed

About

Christian Döring is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Christian Döring has authored 10 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Signal Processing. Recurrent topics in Christian Döring's work include Advanced Clustering Algorithms Research (5 papers), Computer Graphics and Visualization Techniques (3 papers) and Data Management and Algorithms (3 papers). Christian Döring is often cited by papers focused on Advanced Clustering Algorithms Research (5 papers), Computer Graphics and Visualization Techniques (3 papers) and Data Management and Algorithms (3 papers). Christian Döring collaborates with scholars based in Germany, United Kingdom and Austria. Christian Döring's co-authors include Rudolf Kruse, Heiko Timm, Christian Borgelt, Marie‐Jeanne Lesot, Christof Rezk‐Salama, Timo Ropinski, Andreas Eichhorn, Xiaomeng Wang, Joerg H. Mueller and Markus Steinberger and has published in prestigious journals such as Fuzzy Sets and Systems, Computational Statistics & Data Analysis and Computer Graphics Forum.

In The Last Decade

Christian Döring

10 papers receiving 329 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Christian Döring Germany	7	203	149	56	49	46	10	360
Bodo Manthey Germany	10	136 0.7×	46 0.3×	41 0.7×	113 2.3×	23 0.5×	50	346
Martin Pfeifle Germany	9	308 1.5×	139 0.9×	296 5.3×	28 0.6×	15 0.3×	29	545
Sergei Bespamyatnikh Canada	11	59 0.3×	85 0.6×	93 1.7×	68 1.4×	164 3.6×	29	339
Gilbert H. Young Hong Kong	16	164 0.8×	57 0.4×	34 0.6×	51 1.0×	105 2.3×	39	726
Shay Solomon Israel	9	54 0.3×	45 0.3×	13 0.2×	170 3.5×	93 2.0×	52	384
Nilotpal Chakravarti India	9	84 0.4×	32 0.2×	15 0.3×	79 1.6×	8 0.2×	16	381
Marzieh Zarinbal Iran	9	208 1.0×	178 1.2×	28 0.5×	23 0.5×	2 0.0×	25	445
Ashwin Lall United States	14	323 1.6×	101 0.7×	272 4.9×	32 0.7×	15 0.3×	38	701
Olivier Goldschmidt United States	12	58 0.3×	47 0.3×	17 0.3×	252 5.1×	74 1.6×	24	535
Elke Achtert Germany	12	216 1.1×	127 0.9×	227 4.1×	13 0.3×	10 0.2×	15	394

Countries citing papers authored by Christian Döring

Since Specialization

Citations

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

Fields of papers citing papers by Christian Döring

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christian Döring

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

All Works

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10 of 10 papers shown

1.

Döring, Christian, et al.. (2024). Real‐time Neural Rendering of Dynamic Light Fields. Computer Graphics Forum. 43(2). 2 indexed citations

2.

Ropinski, Timo, Christian Döring, & Christof Rezk‐Salama. (2010). Advanced Volume Illumination with Unconstrained Light Source Positioning. IEEE Computer Graphics and Applications. 30(6). 29–41. 8 indexed citations

3.

Ropinski, Timo, Christian Döring, & Christof Rezk‐Salama. (2010). Interactive volumetric lighting simulating scattering and shadowing. KTH Publication Database DiVA (KTH Royal Institute of Technology). 169–176. 40 indexed citations

4.

Döring, Christian, Marie‐Jeanne Lesot, & Rudolf Kruse. (2006). Data analysis with fuzzy clustering methods. Computational Statistics & Data Analysis. 51(1). 192–214. 92 indexed citations

5.

Döring, Christian, Andreas Eichhorn, Xiaomeng Wang, & Rudolf Kruse. (2006). Improved Classification of Surface Defects for Quality Control of Car Body Panels. 1476–1481. 14 indexed citations

6.

Döring, Christian, Christian Borgelt, & Rudolf Kruse. (2005). Effects of Irrelevant Attributes in Fuzzy Clustering. 862–866. 6 indexed citations

7.

Döring, Christian, Christian Borgelt, & Rudolf Kruse. (2004). Fuzzy clustering of quantitative and qualitative data. 84–89 Vol.1. 20 indexed citations

8.

Döring, Christian, et al.. (2004). Improving surface defect detection for quality assessment of car body panels. Hispana. 11(3). 163–177. 4 indexed citations

9.

Timm, Heiko, Christian Döring, & Rudolf Kruse. (2003). Different approaches to fuzzy clustering of incomplete datasets. International Journal of Approximate Reasoning. 35(3). 239–249. 37 indexed citations

10.

Timm, Heiko, Christian Borgelt, Christian Döring, & Rudolf Kruse. (2003). An extension to possibilistic fuzzy cluster analysis. Fuzzy Sets and Systems. 147(1). 3–16. 137 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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