Philipp Gysel

930 total citations
5 papers, 347 citations indexed

About

Philipp Gysel is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Philipp Gysel has authored 5 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 1 paper in Information Systems. Recurrent topics in Philipp Gysel's work include Advanced Neural Network Applications (3 papers), Adversarial Robustness in Machine Learning (2 papers) and Anomaly Detection Techniques and Applications (2 papers). Philipp Gysel is often cited by papers focused on Advanced Neural Network Applications (3 papers), Adversarial Robustness in Machine Learning (2 papers) and Anomaly Detection Techniques and Applications (2 papers). Philipp Gysel collaborates with scholars based in United States and Singapore. Philipp Gysel's co-authors include Soheil Ghiasi, Mohammad Motamedi, Jon J. Pimentel, Venkatesh Akella, Mohan Gurusamy, Dinil Mon Divakaran and A. Ustyuzhanin and has published in prestigious journals such as IEEE Transactions on Neural Networks and Learning Systems and ACM Transactions on Multimedia Computing Communications and Applications.

In The Last Decade

Philipp Gysel

5 papers receiving 342 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Philipp Gysel United States	4	251	197	123	47	25	5	347
Nicholas J. Fraser Australia	7	187 0.7×	198 1.0×	138 1.1×	72 1.5×	41 1.6×	18	374
Xitian Fan China	9	238 0.9×	208 1.1×	90 0.7×	70 1.5×	31 1.2×	13	375
Bingyi Zhang United States	10	153 0.6×	102 0.5×	159 1.3×	31 0.7×	34 1.4×	31	287
Andre Guntoro Germany	10	133 0.5×	278 1.4×	127 1.0×	62 1.3×	21 0.8×	40	405
Weinan Song United States	4	206 0.8×	188 1.0×	131 1.1×	62 1.3×	49 2.0×	8	354
Matthieu Courbariaux Canada	3	311 1.2×	167 0.8×	219 1.8×	38 0.8×	19 0.8×	4	436
Yaman Umuroglu Norway	8	265 1.1×	229 1.2×	160 1.3×	122 2.6×	75 3.0×	12	457
Gwangtae Park South Korea	8	161 0.6×	135 0.7×	78 0.6×	30 0.6×	18 0.7×	29	279
Wenping Zhu China	10	122 0.5×	117 0.6×	137 1.1×	42 0.9×	18 0.7×	34	306
Manoj Alwani India	3	345 1.4×	253 1.3×	139 1.1×	93 2.0×	42 1.7×	7	465

Countries citing papers authored by Philipp Gysel

Since Specialization

Citations

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

Fields of papers citing papers by Philipp Gysel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philipp Gysel

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

All Works

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5 of 5 papers shown

1.

Gysel, Philipp, et al.. (2024). ZEST: Attention-based Zero-Shot Learning for Unseen IoT Device Classification. 1–9. 3 indexed citations

2.

Gysel, Philipp, et al.. (2024). EAGLEEYE: Attention to Unveil Malicious Event Sequences From Provenance Graphs. 27–42. 2 indexed citations

3.

Gysel, Philipp, Jon J. Pimentel, Mohammad Motamedi, & Soheil Ghiasi. (2018). Ristretto: A Framework for Empirical Study of Resource-Efficient Inference in Convolutional Neural Networks. IEEE Transactions on Neural Networks and Learning Systems. 29(11). 5784–5789. 175 indexed citations

4.

Motamedi, Mohammad, Philipp Gysel, & Soheil Ghiasi. (2017). PLACID. ACM Transactions on Multimedia Computing Communications and Applications. 13(4). 1–21. 19 indexed citations

5.

Motamedi, Mohammad, Philipp Gysel, Venkatesh Akella, & Soheil Ghiasi. (2016). Design space exploration of FPGA-based Deep Convolutional Neural Networks. 575–580. 148 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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