Ivan Gaspar

3.3k total citations · 3 hit papers
25 papers, 2.4k citations indexed

About

Ivan Gaspar is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Aerospace Engineering. According to data from OpenAlex, Ivan Gaspar has authored 25 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Electrical and Electronic Engineering, 13 papers in Computer Networks and Communications and 2 papers in Aerospace Engineering. Recurrent topics in Ivan Gaspar's work include PAPR reduction in OFDM (20 papers), Advanced Wireless Communication Techniques (16 papers) and Wireless Communication Networks Research (13 papers). Ivan Gaspar is often cited by papers focused on PAPR reduction in OFDM (20 papers), Advanced Wireless Communication Techniques (16 papers) and Wireless Communication Networks Research (13 papers). Ivan Gaspar collaborates with scholars based in Germany, Brazil and United States. Ivan Gaspar's co-authors include Nicola Michailow, Gerhard Fettweis, Luciano Leonel Mendes, Maximilian Matthé, Andreas Festag, Hua Zhang, Peihao Dong, Geoffrey Ye Li, Navid Naderializadeh and Stefan Krone and has published in prestigious journals such as IEEE Communications Magazine, IEEE Transactions on Communications and IEEE Transactions on Wireless Communications.

In The Last Decade

Ivan Gaspar

24 papers receiving 2.2k citations

Hit Papers

5GNOW: non-orthogonal, asynchronous waveforms for future ... 2014 2026 2018 2022 2014 2014 2019 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ivan Gaspar Germany 18 2.3k 989 228 203 127 25 2.4k
Frank Schaich Germany 20 2.7k 1.2× 1.2k 1.2× 361 1.6× 130 0.6× 54 0.4× 42 2.8k
Nicola Michailow Germany 21 2.4k 1.1× 1.2k 1.2× 234 1.0× 139 0.7× 34 0.3× 34 2.5k
Jae Hong Lee South Korea 17 2.7k 1.2× 1.5k 1.6× 25 0.1× 316 1.6× 63 0.5× 87 2.8k
Heung‐Gyoon Ryu South Korea 15 938 0.4× 490 0.5× 50 0.2× 127 0.6× 16 0.1× 237 1.1k
Stephan Jaeckel Germany 15 1.2k 0.5× 421 0.4× 85 0.4× 332 1.6× 83 0.7× 46 1.3k
Didier Le Ruyet France 18 1.1k 0.5× 601 0.6× 26 0.1× 81 0.4× 39 0.3× 120 1.1k
Robert Baldemair Sweden 12 1.1k 0.5× 509 0.5× 112 0.5× 185 0.9× 47 0.4× 24 1.3k
Guangliang Ren China 18 927 0.4× 546 0.6× 39 0.2× 252 1.2× 35 0.3× 112 1.0k
Young‐Hwan You South Korea 15 807 0.4× 423 0.4× 48 0.2× 140 0.7× 77 0.6× 163 913
H. Nikookar Netherlands 17 1.2k 0.5× 636 0.6× 31 0.1× 394 1.9× 33 0.3× 111 1.4k

Countries citing papers authored by Ivan Gaspar

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Gaspar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivan Gaspar

This figure shows the co-authorship network connecting the top 25 collaborators of Ivan Gaspar. A scholar is included among the top collaborators of Ivan Gaspar 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 Ivan Gaspar. Ivan Gaspar 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.
Dong, Peihao, Hua Zhang, Geoffrey Ye Li, Navid Naderializadeh, & Ivan Gaspar. (2019). Deep CNN for Wideband Mmwave Massive Mimo Channel Estimation Using Frequency Correlation. 4529–4533. 38 indexed citations
3.
Matthé, Maximilian, Luciano Leonel Mendes, Ivan Gaspar, et al.. (2016). Precoded GFDM transceiver with low complexity time domain processing. EURASIP Journal on Wireless Communications and Networking. 2016(1). 29 indexed citations
4.
Matthé, Maximilian, Luciano Leonel Mendes, Ivan Gaspar, et al.. (2015). Multi-user time-reversal STC-GFDMA for future wireless networks. EURASIP Journal on Wireless Communications and Networking. 2015(1). 21 indexed citations
5.
Michailow, Nicola, et al.. (2015). Flexible GFDM Implementation in FPGA with Support to Run-Time Reconfiguration. 1–2. 7 indexed citations
6.
Zhang, Dan, Luciano Leonel Mendes, Maximilian Matthé, et al.. (2015). Expectation Propagation for Near-Optimum Detection of MIMO-GFDM Signals. IEEE Transactions on Wireless Communications. 15(2). 1045–1062. 57 indexed citations
7.
Gaspar, Ivan & Gerhard Fettweis. (2015). An Embedded Midamble Synchronization Approach for Generalized Frequency Division Multiplexing. 2015 IEEE Global Communications Conference (GLOBECOM). 1–5. 7 indexed citations
8.
Michailow, Nicola, Ivan Gaspar, Maximilian Matthé, et al.. (2015). Implementation of a 2 by 2 MIMO-GFDM transceiver for robust 5G networks. 236–240. 18 indexed citations
9.
Gaspar, Ivan, Maximilian Matthé, Nicola Michailow, et al.. (2015). Frequency-Shift Offset-QAM for GFDM. IEEE Communications Letters. 19(8). 1454–1457. 29 indexed citations
10.
Matthé, Maximilian, Ivan Gaspar, Dan Zhang, & Gerhard Fettweis. (2015). Near-ML Detection for MIMO-GFDM. 1–2. 25 indexed citations
11.
Gaspar, Ivan, Luciano Leonel Mendes, Nicola Michailow, & Gerhard Fettweis. (2014). A synchronization technique for generalized frequency division multiplexing. EURASIP Journal on Advances in Signal Processing. 2014(1). 56 indexed citations
12.
Michailow, Nicola, Luciano Leonel Mendes, Maximilian Matthé, et al.. (2014). Robust WHT-GFDM for the Next Generation of Wireless Networks. IEEE Communications Letters. 19(1). 106–109. 42 indexed citations
13.
Wunder, Gerhard, Martin Kasparick, Thorsten Wild, et al.. (2014). 5GNOW: Intermediate frame structure and transceiver concepts. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 565–570. 26 indexed citations
14.
Gaspar, Ivan, Luciano Leonel Mendes, Maximilian Matthé, et al.. (2014). LTE-compatible 5G PHY based on generalized frequency division multiplexing. 209–213. 30 indexed citations
15.
Wunder, Gerhard, Peter Jung, Martin Kasparick, et al.. (2014). 5GNOW: non-orthogonal, asynchronous waveforms for future mobile applications. IEEE Communications Magazine. 52(2). 97–105. 642 indexed citations breakdown →
16.
Wunder, Gerhard, Martin Kasparick, Stephan ten Brink, et al.. (2013). System-level interfaces and performance evaluation methodology for 5G physical layer based on non-orthogonal waveforms. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1659–163. 8 indexed citations
17.
Gaspar, Ivan, et al.. (2013). Low Complexity GFDM Receiver Based on Sparse Frequency Domain Processing. 97 indexed citations
18.
Wunder, Gerhard, Martin Kasparick, Stephan ten Brink, et al.. (2013). 5GNOW: Challenging the LTE Design Paradigms of Orthogonality and Synchronicity. arXiv (Cornell University). 1–5. 81 indexed citations
19.
Michailow, Nicola, Ivan Gaspar, Stefan Krone, Michael Lentmaier, & Gerhard Fettweis. (2012). Generalized frequency division multiplexing: Analysis of an alternative multi-carrier technique for next generation cellular systems. Lund University Publications (Lund University). 171–175. 123 indexed citations
20.
Ribó, Miquel, et al.. (2007). Propagation of PLC Signals through Circuit Breakers. 1–4.

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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