Philipp Benz

855 total citations
12 papers, 447 citations indexed

About

Philipp Benz is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Philipp Benz has authored 12 papers receiving a total of 447 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 3 papers in Computer Networks and Communications. Recurrent topics in Philipp Benz's work include Adversarial Robustness in Machine Learning (8 papers), Anomaly Detection Techniques and Applications (4 papers) and Bacillus and Francisella bacterial research (3 papers). Philipp Benz is often cited by papers focused on Adversarial Robustness in Machine Learning (8 papers), Anomaly Detection Techniques and Applications (4 papers) and Bacillus and Francisella bacterial research (3 papers). Philipp Benz collaborates with scholars based in South Korea, United States and Netherlands. Philipp Benz's co-authors include Chaoning Zhang, In So Kweon, Junsik Kim, Jean‐Charles Bazin, François Rameau, Seokju Lee, Geng Sun, In-So Kweon, Seung Ho Han and Ho‐Jin Choi and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and Neural Information Processing Systems.

In The Last Decade

Philipp Benz

12 papers receiving 437 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Philipp Benz South Korea	11	252	241	44	32	30	12	447
Ranjie Duan China	5	155 0.6×	312 1.3×	72 1.6×	35 1.1×	47 1.6×	7	405
Sara Sabour United States	5	269 1.1×	220 0.9×	30 0.7×	13 0.4×	17 0.6×	5	462
Nicholas Frosst United States	4	244 1.0×	234 1.0×	29 0.7×	14 0.4×	17 0.6×	4	434
Daniel Stanley Tan Taiwan	9	279 1.1×	170 0.7×	31 0.7×	13 0.4×	16 0.5×	37	460
Wiebe Van Ranst Belgium	6	222 0.9×	310 1.3×	62 1.4×	50 1.6×	30 1.0×	11	472
Huidong Liu China	9	176 0.7×	164 0.7×	21 0.5×	13 0.4×	22 0.7×	21	312
A. Gacsádi Romania	8	144 0.6×	135 0.6×	22 0.5×	18 0.6×	17 0.6×	42	285
Roberto Olmos Spain	5	287 1.1×	269 1.1×	29 0.7×	8 0.3×	31 1.0×	5	450
Nakamasa Inoue Japan	12	228 0.9×	170 0.7×	68 1.5×	9 0.3×	22 0.7×	55	384
Jinheng Xie China	7	259 1.0×	214 0.9×	24 0.5×	9 0.3×	15 0.5×	16	381

Countries citing papers authored by Philipp Benz

Since Specialization

Citations

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

Fields of papers citing papers by Philipp Benz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philipp Benz

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

12 of 12 papers shown

Zhang, Chaoning, et al.. (2022). Investigating Top-k White-Box and Transferable Black-box Attack. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 15064–15073. 23 indexed citations

Benz, Philipp, Chaoning Zhang, & In So Kweon. (2021). Batch Normalization Increases Adversarial Vulnerability and Decreases Adversarial Transferability: A Non-Robust Feature Perspective. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 7798–7807. 15 indexed citations

Zhang, Chaoning, Philipp Benz, Seokju Lee, et al.. (2021). ResNet or DenseNet? Introducing Dense Shortcuts to ResNet. 3549–3558. 99 indexed citations

Zhang, Chaoning, et al.. (2021). Data-free Universal Adversarial Perturbation and Black-box Attack. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 7848–7857. 40 indexed citations

Zhang, Chaoning, et al.. (2021). Universal Adversarial Perturbations Through the Lens of Deep Steganography: Towards a Fourier Perspective. Proceedings of the AAAI Conference on Artificial Intelligence. 35(4). 3296–3304. 25 indexed citations

Zhang, Chaoning, et al.. (2021). Towards Robust Deep Hiding Under Non-Differentiable Distortions for Practical Blind Watermarking. 5158–5166. 39 indexed citations

Zhang, Chaoning, et al.. (2020). Understanding Adversarial Examples From the Mutual Influence of Images and Perturbations. 14509–14518. 68 indexed citations

Zhang, Chaoning, et al.. (2020). UDH: Universal Deep Hiding for Steganography, Watermarking, and Light Field Messaging.. Neural Information Processing Systems. 33. 10223–10234. 67 indexed citations

Woo, Sanghyun, et al.. (2020). Propose-and-Attend Single Shot Detector. abs 1810 8425. 804–813. 9 indexed citations

10.

Zhang, Chaoning, et al.. (2020). CD-UAP: Class Discriminative Universal Adversarial Perturbation. Proceedings of the AAAI Conference on Artificial Intelligence. 34(4). 6754–6761. 29 indexed citations

11.

Zhang, Chaoning, François Rameau, Seokju Lee, et al.. (2019). Revisiting Residual Networks with Nonlinear Shortcuts.. British Machine Vision Conference. 12. 13 indexed citations

12.

Han, Seung Ho, et al.. (2018). Sensor-Based Mobile Robot Navigation via Deep Reinforcement Learning. 147–154. 20 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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