Klaus Broelemann

1.4k total citations
16 papers, 116 citations indexed

About

Klaus Broelemann is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Aerospace Engineering. According to data from OpenAlex, Klaus Broelemann has authored 16 papers receiving a total of 116 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 3 papers in Aerospace Engineering. Recurrent topics in Klaus Broelemann's work include Explainable Artificial Intelligence (XAI) (4 papers), Adversarial Robustness in Machine Learning (4 papers) and Robotics and Sensor-Based Localization (3 papers). Klaus Broelemann is often cited by papers focused on Explainable Artificial Intelligence (XAI) (4 papers), Adversarial Robustness in Machine Learning (4 papers) and Robotics and Sensor-Based Localization (3 papers). Klaus Broelemann collaborates with scholars based in Germany, United States and Italy. Klaus Broelemann's co-authors include Gjergji Kasneci, Rui Li, Enkelejda Kasneci, Jia Wang, Vadim Borisov, Xiaoyi Jiang, Thomas Kübler, Angela Schwering, Thomas Gottron and Martin Pawelczyk and has published in prestigious journals such as Computers in Human Behavior, Expert Systems with Applications and Computer Vision and Image Understanding.

In The Last Decade

Klaus Broelemann

13 papers receiving 110 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Klaus Broelemann Germany	6	37	29	26	24	23	16	116
Nicolas Maisonneuve Japan	2	9 0.2×	19 0.7×	7 0.3×	22 0.9×	11 0.5×	3	169
Annu‐Maaria Nivala United Kingdom	6	130 3.5×	12 0.4×	56 2.2×	49 2.0×	51 2.2×	8	206
Srinivasan Janarthanam United Kingdom	11	20 0.5×	230 7.9×	15 0.6×	14 0.6×	27 1.2×	41	295
Bharat Dave Australia	9	10 0.3×	15 0.5×	7 0.3×	4 0.2×	35 1.5×	31	278
Yll Haxhimusa Austria	8	3 0.1×	31 1.1×	20 0.8×	24 1.0×	63 2.7×	14	142
Amir Semmo Germany	9	47 1.3×	8 0.3×	15 0.6×	15 0.6×	196 8.5×	41	298
Irene Campari Austria	3	126 3.4×	50 1.7×	35 1.3×	135 5.6×	31 1.3×	5	238
Lukasz Wawrzyniak Canada	4	11 0.3×	11 0.4×	3 0.1×	12 0.5×	14 0.6×	4	53
Γεώργιος Σκούμας Greece	5	20 0.5×	76 2.6×	3 0.1×	105 4.4×	184 8.0×	8	280
Bencheng Liao China	4	4 0.1×	29 1.0×	52 2.0×	17 0.7×	88 3.8×	8	146

Countries citing papers authored by Klaus Broelemann

Since Specialization

Citations

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

Fields of papers citing papers by Klaus Broelemann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Klaus Broelemann

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

All Works

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16 of 16 papers shown

Broelemann, Klaus, et al.. (2024). Adversarial Reweighting Guided by Wasserstein Distance to Achieve Demographic Parity. Open Research Online (The Open University). 1605–1614.

Zhao, Xuan, Klaus Broelemann, Salvatore Ruggieri, & Gjergji Kasneci. (2023). Causal Fairness-Guided Dataset Reweighting using Neural Networks. CINECA IRIS Institutial research information system (University of Pisa). 1386–1394.

Broelemann, Klaus, et al.. (2023). Interventional SHAP Values and Interaction Values for Piecewise Linear Regression Trees. Proceedings of the AAAI Conference on Artificial Intelligence. 37(9). 11164–11173. 5 indexed citations

Zhao, Xuan, Klaus Broelemann, & Gjergji Kasneci. (2023). Counterfactual Explanation for Regression via Disentanglement in Latent Space. 976–984.

Haug, Johannes, Klaus Broelemann, & Gjergji Kasneci. (2022). Dynamic Model Tree for Interpretable Data Stream Learning. 2022 IEEE 38th International Conference on Data Engineering (ICDE). 2562–2574. 2 indexed citations

Borisov, Vadim, Klaus Broelemann, Enkelejda Kasneci, & Gjergji Kasneci. (2022). DeepTLF: robust deep neural networks for heterogeneous tabular data. International Journal of Data Science and Analytics. 16(1). 85–100. 16 indexed citations

Kraft, Stefan, Klaus Broelemann, Andreas Theissler, & Gjergji Kasneci. (2021). SPARROW: Semantically Coherent Prototypes for Image Classification. 1 indexed citations

Pawelczyk, Martin, Klaus Broelemann, & Gjergji Kasneci. (2020). On Counterfactual Explanations under Predictive Multiplicity.. Uncertainty in Artificial Intelligence. 809–818. 4 indexed citations

Broelemann, Klaus, Thomas Gottron, & Gjergji Kasneci. (2017). LTD-RBM: Robust and Fast Latent Truth Discovery Using Restricted Boltzmann Machines. 143–146. 7 indexed citations

10.

Broelemann, Klaus, Xiaoyi Jiang, Sudipto Mukherjee, & Ananda S. Chowdhury. (2017). Variants of k-regular nearest neighbor graph and their construction. Information Processing Letters. 126. 18–23. 1 indexed citations

11.

Kasneci, Enkelejda, Thomas Kübler, Klaus Broelemann, & Gjergji Kasneci. (2016). Aggregating physiological and eye tracking signals to predict perception in the absence of ground truth. Computers in Human Behavior. 68. 450–455. 14 indexed citations

12.

Broelemann, Klaus, Xiaoyi Jiang, & Angela Schwering. (2015). Automatic understanding of sketch maps using context-aware classification. Expert Systems with Applications. 45. 195–207. 8 indexed citations

13.

Wang, Jia, et al.. (2014). SketchMapia: Qualitative Representations for the Alignment of Sketch and Metric Maps. Spatial Cognition and Computation. 14(3). 220–254. 50 indexed citations

14.

Jiang, Xiaoyi, et al.. (2011). Graph-based markerless registration of city maps using geometric hashing. Computer Vision and Image Understanding. 115(7). 1032–1043. 3 indexed citations

15.

Broelemann, Klaus. (2011). A System for Automatic Localization and Recognition of Sketch Map Objects.. 11–20. 4 indexed citations

16.

Broelemann, Klaus, et al.. (2011). Understanding and Processing Sketch Maps: Proceedings of the COSIT 2011 Workshop. 1 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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