Christian Hofbauer

433 total citations
32 papers, 308 citations indexed

About

Christian Hofbauer is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Christian Hofbauer has authored 32 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Electrical and Electronic Engineering, 22 papers in Computer Networks and Communications and 4 papers in Signal Processing. Recurrent topics in Christian Hofbauer's work include Advanced Wireless Communication Techniques (19 papers), Wireless Communication Networks Research (18 papers) and PAPR reduction in OFDM (16 papers). Christian Hofbauer is often cited by papers focused on Advanced Wireless Communication Techniques (19 papers), Wireless Communication Networks Research (18 papers) and PAPR reduction in OFDM (16 papers). Christian Hofbauer collaborates with scholars based in Austria, Germany and United States. Christian Hofbauer's co-authors include Mario Huemer, Johannes B. Huber, Oliver Lang, Werner Haselmayr, Reinhard Feger, Hans-Peter Bernhard, Wilfried Elmenreich, Andreas Springer, László Böszörményi and Christian Bettstetter and has published in prestigious journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Vehicular Technology and Signal Processing.

In The Last Decade

Christian Hofbauer

31 papers receiving 297 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christian Hofbauer Austria 11 263 174 40 27 18 32 308
Hisato Iwai Japan 8 240 0.9× 127 0.7× 46 1.1× 21 0.8× 25 1.4× 83 264
Wenbo Wang China 12 270 1.0× 195 1.1× 53 1.3× 21 0.8× 11 0.6× 41 328
Matthieu Crussière France 10 263 1.0× 104 0.6× 46 1.1× 25 0.9× 13 0.7× 61 300
Chang Kyung Sung Australia 9 203 0.8× 129 0.7× 27 0.7× 23 0.9× 16 0.9× 40 236
Hui‐Ling Lou United States 11 384 1.5× 287 1.6× 24 0.6× 28 1.0× 28 1.6× 38 411
Fangqing Tan China 11 241 0.9× 103 0.6× 73 1.8× 46 1.7× 23 1.3× 40 306
Yongyu Chang China 10 438 1.7× 306 1.8× 89 2.2× 24 0.9× 12 0.7× 101 490
K. Vasudevan India 12 408 1.6× 183 1.1× 81 2.0× 15 0.6× 9 0.5× 46 431
Edward Au Canada 10 349 1.3× 236 1.4× 56 1.4× 25 0.9× 8 0.4× 34 385
C. Tidestav Sweden 9 306 1.2× 203 1.2× 55 1.4× 30 1.1× 9 0.5× 29 349

Countries citing papers authored by Christian Hofbauer

Since Specialization
Citations

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

Fields of papers citing papers by Christian Hofbauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christian Hofbauer

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

All Works

20 of 20 papers shown
1.
Lang, Oliver, et al.. (2024). OFDM-Based Waveforms for Joint Sensing and Communications Robust to Frequency Selective IQ Imbalance. IEEE Transactions on Vehicular Technology. 74(1). 1078–1091. 1 indexed citations
2.
Hofbauer, Christian, et al.. (2024). Joint Neighbor Discovery and Communication in Wireless Sensor Networks. 690–695.
3.
Lang, Oliver, Christian Hofbauer, Reinhard Feger, & Mario Huemer. (2023). Effects of Doppler-Division Multiplexing on OFDM Joint Sensing and Communication Systems. IEEE Open Journal of Signal Processing. 5. 229–237. 1 indexed citations
4.
Lang, Oliver, Reinhard Feger, Christian Hofbauer, & Mario Huemer. (2023). Doppler Aliasing in OFDM Radar: A Method for Reducing the ADC Sampling Frequency Without Losing Range Resolution. IEEE Transactions on Vehicular Technology. 73(4). 4842–4857. 2 indexed citations
5.
Lang, Oliver, Christian Hofbauer, Reinhard Feger, & Mario Huemer. (2022). Range-Division Multiplexing for MIMO OFDM Joint Radar and Communications. IEEE Transactions on Vehicular Technology. 72(1). 52–65. 14 indexed citations
6.
Lang, Oliver, Reinhard Feger, Christian Hofbauer, & Mario Huemer. (2022). OFDM Radar With Subcarrier Aliasing—Reducing the ADC Sampling Frequency Without Losing Range Resolution. IEEE Transactions on Vehicular Technology. 71(10). 10241–10253. 11 indexed citations
7.
Hofbauer, Christian, Werner Haselmayr, Hans-Peter Bernhard, & Mario Huemer. (2020). On the Inclusion and Utilization of Pilot Tones in Unique Word OFDM. IEEE Transactions on Signal Processing. 68. 5504–5518. 9 indexed citations
8.
Hofbauer, Christian, Werner Haselmayr, Hans-Peter Bernhard, & Mario Huemer. (2020). Impact of a Carrier Frequency Offset on Unique Word OFDM. 1–7. 5 indexed citations
9.
Haselmayr, Werner, Christian Hofbauer, Mario Huemer, & Andreas Springer. (2019). Approaching the Matched Filter Bound with Unique Word OFDM. 1–4. 4 indexed citations
10.
Huemer, Mario, Oliver Lang, & Christian Hofbauer. (2016). Component-wise conditionally unbiased widely linear MMSE estimation. Signal Processing. 133. 227–239. 7 indexed citations
11.
Haselmayr, Werner, Christian Hofbauer, Bernhard Etzlinger, Andreas Springer, & Mario Huemer. (2014). Iterative detection for unique word OFDM. 3261–3266. 7 indexed citations
12.
Huemer, Mario, et al.. (2014). Design and analysis of UW-OFDM signals. AEU - International Journal of Electronics and Communications. 68(10). 958–968. 33 indexed citations
13.
Huemer, Mario, et al.. (2013). Widely linear data estimation for unique word OFDM. 1934–1938. 3 indexed citations
14.
Renner, Herwig, et al.. (2012). Electric Arc Furnace with Static Var Compensator – Planning and Operational Experience. 457–464. 1 indexed citations
15.
Huemer, Mario, et al.. (2011). Linear data estimators for: Classical and Bayesian approaches. European Signal Processing Conference. 1613–1617. 1 indexed citations
16.
Huemer, Mario, et al.. (2011). Classical and Bayesian Linear Data Estimators for Unique Word OFDM. IEEE Transactions on Signal Processing. 59(12). 6073–6085. 43 indexed citations
17.
Huemer, Mario, Christian Hofbauer, & Johannes B. Huber. (2010). Unique word prefix in SC/FDE and OFDM: A comparison. 1296–1301. 10 indexed citations
18.
Elmenreich, Wilfried, et al.. (2008). Building blocks of cooperative relaying in wireless systems. e+i Elektrotechnik und Informationstechnik. 125(10). 353–359. 14 indexed citations
19.
Kosch, Harald, et al.. (2001). SMOOTH - A Distributed Multimedia Database System. Very Large Data Bases. 713–714. 13 indexed citations
20.
Böszörményi, László, et al.. (2000). The SMOOTH video DB - demonstration of an integrated generic indexing approach. 495–496. 1 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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