Frieder Ganz

610 total citations
14 papers, 392 citations indexed

About

Frieder Ganz is a scholar working on Artificial Intelligence, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, Frieder Ganz has authored 14 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 6 papers in Signal Processing and 4 papers in Computer Networks and Communications. Recurrent topics in Frieder Ganz's work include Time Series Analysis and Forecasting (6 papers), Data Management and Algorithms (5 papers) and Semantic Web and Ontologies (3 papers). Frieder Ganz is often cited by papers focused on Time Series Analysis and Forecasting (6 papers), Data Management and Algorithms (5 papers) and Semantic Web and Ontologies (3 papers). Frieder Ganz collaborates with scholars based in United Kingdom, United States and Japan. Frieder Ganz's co-authors include Payam Barnaghi, François Carrez, Daniel Puschmann, María Bermúdez-Edo, Jun-Yan Zhu, Ji Lin, Richard Zhang, Song Han, Shirin Enshaeifar and Cory Henson and has published in prestigious journals such as IEEE Transactions on Neural Networks and Learning Systems, IEEE Internet of Things Journal and IEEE Sensors Journal.

In The Last Decade

Frieder Ganz

14 papers receiving 370 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Frieder Ganz United Kingdom 10 176 149 122 89 75 14 392
Shakir Fattah Kak Iraq 13 201 1.1× 131 0.9× 113 0.9× 68 0.8× 281 3.7× 27 531
Yurong Cheng China 11 115 0.7× 127 0.9× 56 0.5× 100 1.1× 121 1.6× 31 414
Darshan Vishwasrao Medhane India 8 242 1.4× 166 1.1× 57 0.5× 62 0.7× 195 2.6× 15 492
Maxim Chernyshev Australia 7 265 1.5× 92 0.6× 74 0.6× 104 1.2× 222 3.0× 15 510
Guangquan Xu China 10 271 1.5× 113 0.8× 60 0.5× 133 1.5× 138 1.8× 22 461
Dan Puiu Romania 8 121 0.7× 73 0.5× 61 0.5× 39 0.4× 55 0.7× 20 291
Manoranjan Mohanty Australia 13 293 1.7× 149 1.0× 255 2.1× 56 0.6× 208 2.8× 43 662
Adrián Pekár Hungary 11 271 1.5× 150 1.0× 45 0.4× 65 0.7× 75 1.0× 37 406

Countries citing papers authored by Frieder Ganz

Since Specialization
Citations

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

Fields of papers citing papers by Frieder Ganz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frieder Ganz

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

All Works

14 of 14 papers shown
1.
Lin, Ji, Richard Zhang, Frieder Ganz, Song Han, & Jun-Yan Zhu. (2021). Anycost GANs for Interactive Image Synthesis and Editing. 14981–14991. 55 indexed citations
2.
Ganz, Frieder, et al.. (2021). Verifying the Causes of Adversarial Examples. 1807 1069. 6750–6757. 1 indexed citations
3.
Barnaghi, Payam, et al.. (2020). Continual Learning Using Bayesian Neural Networks. IEEE Transactions on Neural Networks and Learning Systems. 32(9). 4243–4252. 30 indexed citations
4.
Barnaghi, Payam, et al.. (2019). Continual learning by using task conditional neural networks. arXiv (Cornell University). 1 indexed citations
5.
Ganz, Frieder, Daniel Puschmann, Payam Barnaghi, & François Carrez. (2015). A Practical Evaluation of Information Processing and Abstraction Techniques for the Internet of Things. IEEE Internet of Things Journal. 2(4). 340–354. 87 indexed citations
6.
Bermúdez-Edo, María, et al.. (2014). A Knowledge-Based Approach for Real-Time IoT Data Stream Annotation and Processing. 215–222. 81 indexed citations
7.
Ganz, Frieder, Payam Barnaghi, & François Carrez. (2014). Multi-resolution data communication in wireless sensor networks. 571–574. 2 indexed citations
8.
Ganz, Frieder, Payam Barnaghi, & François Carrez. (2014). Automated Semantic Knowledge Acquisition From Sensor Data. IEEE Systems Journal. 10(3). 1214–1225. 23 indexed citations
9.
Ganz, Frieder, Payam Barnaghi, & François Carrez. (2013). Information Abstraction for Heterogeneous Real World Internet Data. IEEE Sensors Journal. 13(10). 3793–3805. 36 indexed citations
10.
Ganz, Frieder, Ruidong Li, Payam Barnaghi, & Hiroaki Harai. (2012). A Resource Mobility Scheme for Service-Continuity in the Internet of Things. View. 261–264. 20 indexed citations
11.
Barnaghi, Payam, Frieder Ganz, Cory Henson, & Amit Sheth. (2012). Computing perception from sensor data. View. d17. 1–4. 22 indexed citations
12.
Wang, Wei, et al.. (2012). Semantic sensor service networks. View. 13. 1–4. 11 indexed citations
13.
Ganz, Frieder, Payam Barnaghi, François Carrez, & Klaus Moessner. (2011). A mediated gossiping mechanism for large-scale sensor networks. View. 30. 405–409. 2 indexed citations
14.
Ganz, Frieder, Payam Barnaghi, François Carrez, & Klaus Moessner. (2011). Context-aware management for sensor networks. View. 1–6. 21 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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