Alexander Binder

11.5k total citations · 4 hit papers
43 papers, 5.2k citations indexed

About

Alexander Binder is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Alexander Binder has authored 43 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Vision and Pattern Recognition, 21 papers in Artificial Intelligence and 5 papers in Information Systems. Recurrent topics in Alexander Binder's work include Explainable Artificial Intelligence (XAI) (9 papers), Advanced Image and Video Retrieval Techniques (9 papers) and Image Retrieval and Classification Techniques (7 papers). Alexander Binder is often cited by papers focused on Explainable Artificial Intelligence (XAI) (9 papers), Advanced Image and Video Retrieval Techniques (9 papers) and Image Retrieval and Classification Techniques (7 papers). Alexander Binder collaborates with scholars based in Germany, Singapore and South Korea. Alexander Binder's co-authors include Klaus‐Robert Müller, Wojciech Samek, Grégoire Montavon, Frederick Klauschen, Sebastian Bach, Sebastian Lapuschkin, Marius Kloft, Lucas Deecke, Emmanuel Müller and Lukas Ruff and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.

In The Last Decade

Alexander Binder

43 papers receiving 5.1k 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.

On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation

2015 2.5k citations Sebastian Bach, Alexander Binder et al. PLoS ONE profile →
Explaining nonlinear classification decisions with deep Taylor decomposition

2016 788 citations Grégoire Montavon, Sebastian Lapuschkin et al. profile →
Evaluating the Visualization of What a Deep Neural Network Has Learned

2016 620 citations Wojciech Samek, Alexander Binder et al. profile →
Deep One-Class Classification

2018 484 citations Lukas Ruff, Robert A. Vandermeulen et al. International Conference on Machine Learning profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alexander Binder Germany	16	3.4k	1.2k	497	346	316	43	5.2k
Moloud Abdar Australia	36	3.0k 0.9×	740 0.6×	804 1.6×	202 0.6×	146 0.5×	85	6.0k
Jean Pouget-Abadie United States	6	2.5k 0.7×	3.3k 2.8×	681 1.4×	574 1.7×	103 0.3×	11	8.2k
Sherjil Ozair United States	6	2.7k 0.8×	3.5k 2.9×	699 1.4×	628 1.8×	104 0.3×	7	8.5k
Tuan D. Pham Australia	33	1.2k 0.3×	1.2k 1.0×	950 1.9×	432 1.2×	98 0.3×	295	4.2k
Jacob Goldberger Israel	32	2.8k 0.8×	2.5k 2.1×	721 1.5×	496 1.4×	69 0.2×	158	5.8k
Jennifer Dy United States	39	3.3k 1.0×	1.9k 1.6×	898 1.8×	590 1.7×	58 0.2×	209	7.2k
Sumit Chopra United States	20	4.3k 1.2×	4.2k 3.6×	516 1.0×	769 2.2×	301 1.0×	48	8.4k
Chen Li China	37	2.1k 0.6×	1.3k 1.1×	1.8k 3.6×	213 0.6×	114 0.4×	239	4.8k
Jason Yosinski United States	13	2.3k 0.7×	1.9k 1.6×	308 0.6×	392 1.1×	55 0.2×	25	4.7k
Yongchun Zhu China	13	2.6k 0.7×	1.2k 1.0×	369 0.7×	309 0.9×	44 0.1×	25	5.9k

Countries citing papers authored by Alexander Binder

Since Specialization

Citations

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

Fields of papers citing papers by Alexander Binder

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Binder

This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Binder. A scholar is included among the top collaborators of Alexander Binder 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 Alexander Binder. Alexander Binder 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:

20 of 20 papers shown

Strodthoff, Nils, et al.. (2022). To pretrain or not? A systematic analysis of the benefits of pretraining in diabetic retinopathy. PLoS ONE. 17(10). e0274291–e0274291. 2 indexed citations

Lapuschkin, Sebastian, et al.. (2021). Explain and improve: LRP-inference fine-tuning for image captioning models. Information Fusion. 77. 233–246. 19 indexed citations

Elovici, Yuval, et al.. (2021). Adaptive Noise Injection for Training Stochastic Student Networks from Deterministic Teachers. 7587–7594. 1 indexed citations

Sadek, Ibrahim, et al.. (2019). Memory snapshot dataset of a compromised host with malware using obfuscation evasion techniques. SHILAP Revista de lepidopterología. 26. 104437–104437. 5 indexed citations

Ruff, Lukas, Robert A. Vandermeulen, Lucas Deecke, et al.. (2018). Deep One-Class Classification. International Conference on Machine Learning. 4393–4402. 484 indexed citations breakdown →

Homoliak, Ivan, et al.. (2018). An Air-Gapped 2-Factor Authentication for Smart-Contract Wallets.. arXiv (Cornell University). 3 indexed citations

Shi, Lei, et al.. (2018). DeepClue: Visual Interpretation of Text-Based Deep Stock Prediction. IEEE Transactions on Knowledge and Data Engineering. 31(6). 1094–1108. 71 indexed citations

Binder, Alexander, et al.. (2017). ImageCLEF 2017: ImageCLEF Tuberculosis Task - the SGEast Submission.. CLEF (Working Notes). 4 indexed citations

Lapuschkin, Sebastian, Alexander Binder, Grégoire Montavon, Klaus‐Robert Müller, & Wojciech Samek. (2016). Analyzing Classifiers: Fisher Vectors and Deep Neural Networks. 2912–2920. 110 indexed citations

10.

Lei, Yunwen, Alexander Binder, Ürün Doǧan, & Marius Kloft. (2015). Theory and Algorithms for the Localized Setting of Learning Kernels. Neural Information Processing Systems. 173–195. 8 indexed citations

11.

Bach, Sebastian, Alexander Binder, Grégoire Montavon, et al.. (2015). On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation. PLoS ONE. 10(7). e0130140–e0130140. 2471 indexed citations breakdown →

12.

Porbadnigk, Anne K., Nico Görnitz, Claudia Sannelli, et al.. (2015). Extracting latent brain states — Towards true labels in cognitive neuroscience experiments. NeuroImage. 120. 225–253. 11 indexed citations

13.

Lei, Yunwen, Ürün Doǧan, Alexander Binder, & Marius Kloft. (2015). Multi-class SVMs: From Tighter Data-Dependent Generalization Bounds to Novel Algorithms. arXiv (Cornell University). 28. 2035–2043. 14 indexed citations

14.

Görnitz, Nico, Anne K. Porbadnigk, Alexander Binder, et al.. (2014). Learning and Evaluation in Presence of Non-i.i.d. Label Noise. Journal of Machine Learning Research. 33. 293–302. 1 indexed citations

15.

Becker, Daniel, et al.. (2014). Multi-modal identification and tracking of vehicles in partially observed environments. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 86. 77–86. 1 indexed citations

16.

Becker, Daniel, et al.. (2013). Identification of vehicle tracks and association to wireless endpoints by multiple sensor modalities. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 10 indexed citations

17.

Binder, Alexander, Shinichi Nakajima, Marius Kloft, et al.. (2012). Insights from Classifying Visual Concepts with Multiple Kernel Learning. PLoS ONE. 7(8). e38897–e38897. 5 indexed citations

18.

Kawanabe, Motoaki, et al.. (2011). Multi-modal visual concept classification of images via Markov random walk over tags. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 11. 396–401. 6 indexed citations

19.

Kawanabe, Motoaki, Shinichi Nakajima, & Alexander Binder. (2009). A procedure of adaptive kernel combination with kernel-target alignment for object classification. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 1–7. 7 indexed citations

20.

Pickartz, Tilman, Alexander Binder, Frauke Ringel, et al.. (2003). Clinical relevance of CD95 (Fas/Apo-1) on T cells of patients with B-cell chronic lymphocytic leukemia. Experimental Hematology. 31(8). 682–685. 7 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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