Christopher J. Anders

1.9k total citations · 1 hit paper
10 papers, 849 citations indexed

About

Christopher J. Anders is a scholar working on Artificial Intelligence, Condensed Matter Physics and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Christopher J. Anders has authored 10 papers receiving a total of 849 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Condensed Matter Physics and 2 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Christopher J. Anders's work include Explainable Artificial Intelligence (XAI) (4 papers), Theoretical and Computational Physics (4 papers) and Adversarial Robustness in Machine Learning (3 papers). Christopher J. Anders is often cited by papers focused on Explainable Artificial Intelligence (XAI) (4 papers), Theoretical and Computational Physics (4 papers) and Adversarial Robustness in Machine Learning (3 papers). Christopher J. Anders collaborates with scholars based in Germany, Japan and United Kingdom. Christopher J. Anders's co-authors include Klaus‐Robert Müller, Sebastian Lapuschkin, Wojciech Samek, Grégoire Montavon, Pan Kessel, Shinichi Nakajima, Kim A. Nicoli, Tobias Hartung, Karl Jansen and Paolo Stornati and has published in prestigious journals such as Physical Review Letters, Proceedings of the IEEE and Pattern Recognition.

In The Last Decade

Christopher J. Anders

9 papers receiving 823 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.

Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications

2021 702 citations Wojciech Samek, Grégoire Montavon et al. Proceedings of the IEEE profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Christopher J. Anders Germany	7	373	93	64	53	52	10	849
Jeff Heaton United States	9	290 0.8×	123 1.3×	84 1.3×	34 0.6×	45 0.9×	16	849
Bastian Bohn Germany	5	255 0.7×	34 0.4×	41 0.6×	48 0.9×	16 0.3×	8	683
Anna Kruspe Germany	10	299 0.8×	125 1.3×	44 0.7×	15 0.3×	42 0.8×	27	694
Dan Yamins United States	2	393 1.1×	123 1.3×	128 2.0×	98 1.8×	49 0.9×	3	1.1k
Brent Komer Canada	5	304 0.8×	80 0.9×	119 1.9×	80 1.5×	30 0.6×	7	862
Morris Riedel Germany	14	276 0.7×	91 1.0×	36 0.6×	21 0.4×	66 1.3×	132	924
Jakob Gawlikowski Germany	7	243 0.7×	101 1.1×	44 0.7×	15 0.3×	43 0.8×	13	633
Ludwig Schubert United States	11	738 2.0×	374 4.0×	60 0.9×	46 0.9×	55 1.1×	18	1.3k

Countries citing papers authored by Christopher J. Anders

Since Specialization

Citations

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

Fields of papers citing papers by Christopher J. Anders

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher J. Anders. 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 Christopher J. Anders. The network helps show where Christopher J. Anders may publish in the future.

Co-authorship network of co-authors of Christopher J. Anders

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher J. Anders. A scholar is included among the top collaborators of Christopher J. Anders 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 Christopher J. Anders. Christopher J. Anders 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.

Anders, Christopher J., et al.. (2024). From Hope to Safety: Unlearning Biases of Deep Models via Gradient Penalization in Latent Space. Proceedings of the AAAI Conference on Artificial Intelligence. 38(19). 21046–21054. 3 indexed citations

2.

Nicoli, Kim A., Christopher J. Anders, Tobias Hartung, et al.. (2023). Detecting and mitigating mode-collapse for flow-based sampling of lattice field theories. Physical review. D. 108(11). 15 indexed citations

3.

Nicoli, Kim A., Christopher J. Anders, Lena Funcke, et al.. (2023). NeuLat: a toolbox for neural samplers in lattice field theories. Proceedings Of Science. 286–286. 1 indexed citations

4.

Anders, Christopher J., et al.. (2023). Towards Fixing Clever-Hans Predictors with Counterfactual Knowledge Distillation. 2599–2607.

5.

Nicoli, Kim A., Christopher J. Anders, Lena Funcke, et al.. (2022). Machine Learning of Thermodynamic Observables in the Presence of Mode Collapse. Proceedings of The 38th International Symposium on Lattice Field Theory — PoS(LATTICE2021). 338–338. 10 indexed citations

6.

Nicoli, Kim A., Christopher J. Anders, Lena Funcke, et al.. (2021). Estimation of Thermodynamic Observables in Lattice Field Theories with Deep Generative Models. Physical Review Letters. 126(3). 32001–32001. 71 indexed citations

7.

Samek, Wojciech, Grégoire Montavon, Sebastian Lapuschkin, Christopher J. Anders, & Klaus‐Robert Müller. (2021). Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications. Proceedings of the IEEE. 109(3). 247–278. 702 indexed citations breakdown →

8.

Anders, Christopher J., et al.. (2021). Towards robust explanations for deep neural networks. Pattern Recognition. 121. 108194–108194. 28 indexed citations

9.

Alber, Maximilian, et al.. (2019). Explanations can be manipulated and geometry is to blame. Neural Information Processing Systems. 32. 13567–13578. 10 indexed citations

10.

Watson, Graham, et al.. (1983). Op-Site skin closure: a comparison with subcuticular and interrupted sutures.. PubMed Central. 65(2). 83–4. 9 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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