Brigitte Boden

556 total citations
11 papers, 247 citations indexed

About

Brigitte Boden is a scholar working on Information Systems, Statistical and Nonlinear Physics and Signal Processing. According to data from OpenAlex, Brigitte Boden has authored 11 papers receiving a total of 247 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Information Systems, 8 papers in Statistical and Nonlinear Physics and 5 papers in Signal Processing. Recurrent topics in Brigitte Boden's work include Complex Network Analysis Techniques (8 papers), Data Mining Algorithms and Applications (8 papers) and Data Management and Algorithms (5 papers). Brigitte Boden is often cited by papers focused on Complex Network Analysis Techniques (8 papers), Data Mining Algorithms and Applications (8 papers) and Data Management and Algorithms (5 papers). Brigitte Boden collaborates with scholars based in Germany and United States. Brigitte Boden's co-authors include Thomas Seidl, Stephan Günnemann, Ines Färber and H. Hoffmann and has published in prestigious journals such as Data Mining and Knowledge Discovery, Knowledge and Information Systems and RWTH Publications (RWTH Aachen).

In The Last Decade

Brigitte Boden

11 papers receiving 236 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Brigitte Boden Germany	7	152	134	69	67	59	11	247
Matthew J. Rattigan United States	8	162 1.1×	139 1.0×	49 0.7×	32 0.5×	81 1.4×	15	262
Albert Angel Canada	7	113 0.7×	138 1.0×	93 1.3×	109 1.6×	95 1.6×	7	297
Liutong Xu China	7	130 0.9×	118 0.9×	81 1.2×	17 0.3×	63 1.1×	30	263
David Domínguez-Sal Spain	9	168 1.1×	137 1.0×	56 0.8×	36 0.5×	127 2.2×	24	308
Arnau Prat-Pèrez Spain	10	176 1.2×	190 1.4×	97 1.4×	52 0.8×	168 2.8×	15	393
Renchi Yang Hong Kong	9	139 0.9×	212 1.6×	64 0.9×	36 0.5×	67 1.1×	26	285
Pinghui Wang China	7	93 0.6×	141 1.1×	33 0.5×	27 0.4×	119 2.0×	25	233
Yuanping Nie China	7	82 0.5×	109 0.8×	59 0.9×	29 0.4×	37 0.6×	31	202
Bernhard Sch lkopf Germany	4	68 0.4×	147 1.1×	21 0.3×	23 0.3×	21 0.4×	4	234
Blair Archibald United Kingdom	6	67 0.4×	196 1.5×	140 2.0×	23 0.3×	37 0.6×	17	277

Countries citing papers authored by Brigitte Boden

Since Specialization

Citations

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

Fields of papers citing papers by Brigitte Boden

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brigitte Boden

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

All Works

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11 of 11 papers shown

1.

Boden, Brigitte, Stephan Günnemann, H. Hoffmann, & Thomas Seidl. (2016). MiMAG: mining coherent subgraphs in multi-layer graphs with edge labels. Knowledge and Information Systems. 50(2). 417–446. 9 indexed citations

2.

Boden, Brigitte, et al.. (2014). PHiDJ: Parallel similarity self-join for high-dimensional vector data with MapReduce. 24 indexed citations

3.

Boden, Brigitte & Thomas Seidl. (2014). Combined Clustering of Graph and Attribute Data. RWTH Publications (RWTH Aachen). 4 indexed citations

4.

Seidl, Thomas, et al.. (2013). MR-DSJ : Distance-Based Self-Join for Large-Scale Vector Data Analysis with MapReduce. RWTH Publications (RWTH Aachen). 37–56. 10 indexed citations

5.

Günnemann, Stephan, Ines Färber, Brigitte Boden, & Thomas Seidl. (2013). GAMer: a synthesis of subspace clustering and dense subgraph mining. Knowledge and Information Systems. 40(2). 243–278. 21 indexed citations

6.

Boden, Brigitte, Stephan Günnemann, H. Hoffmann, & Thomas Seidl. (2013). RMiCS. 1–12. 3 indexed citations

7.

Boden, Brigitte, et al.. (2013). Detecting and exploring clusters in attributed graphs. 2505–2508. 4 indexed citations

8.

Boden, Brigitte, Stephan Günnemann, H. Hoffmann, & Thomas Seidl. (2012). Mining coherent subgraphs in multi-layer graphs with edge labels. 1258–1266. 76 indexed citations

9.

Boden, Brigitte, Stephan Günnemann, & Thomas Seidl. (2012). Tracing clusters in evolving graphs with node attributes. 2331–2334. 3 indexed citations

10.

Günnemann, Stephan, Brigitte Boden, & Thomas Seidl. (2012). Finding density-based subspace clusters in graphs with feature vectors. Data Mining and Knowledge Discovery. 25(2). 243–269. 20 indexed citations

11.

Günnemann, Stephan, Ines Färber, Brigitte Boden, & Thomas Seidl. (2010). Subspace Clustering Meets Dense Subgraph Mining: A Synthesis of Two Paradigms. 845–850. 73 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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