Philipp Schulz

1.4k total citations · 1 hit paper
51 papers, 941 citations indexed

About

Philipp Schulz is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Media Technology. According to data from OpenAlex, Philipp Schulz has authored 51 papers receiving a total of 941 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Electrical and Electronic Engineering, 27 papers in Computer Networks and Communications and 7 papers in Media Technology. Recurrent topics in Philipp Schulz's work include Advanced MIMO Systems Optimization (20 papers), Millimeter-Wave Propagation and Modeling (11 papers) and Cooperative Communication and Network Coding (10 papers). Philipp Schulz is often cited by papers focused on Advanced MIMO Systems Optimization (20 papers), Millimeter-Wave Propagation and Modeling (11 papers) and Cooperative Communication and Network Coding (10 papers). Philipp Schulz collaborates with scholars based in Germany, United States and Sweden. Philipp Schulz's co-authors include Gerhard Fettweis, Meryem Simsek, Henrik Klessig, Bjoern Almeroth, Andreas Mitschele‐Thiel, Ines Riedel, Jens Voigt, André Puschmann, Marcus Windisch and Michael Müller and has published in prestigious journals such as IEEE Access, IEEE Communications Magazine and IEEE Transactions on Communications.

In The Last Decade

Philipp Schulz

45 papers receiving 914 citations

Hit Papers

Latency Critical IoT Applications in 5G: Perspective on t... 2017 2026 2020 2023 2017 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
Philipp Schulz Germany 10 660 558 83 66 65 51 941
Shehzad Ali Ashraf Sweden 6 623 0.9× 532 1.0× 60 0.7× 69 1.0× 79 1.2× 6 871
Sudhir K. Routray India 16 484 0.7× 392 0.7× 70 0.8× 93 1.4× 48 0.7× 69 730
Ali Rahmati United States 5 434 0.7× 420 0.8× 75 0.9× 39 0.6× 43 0.7× 9 676
Henrik Klessig Germany 14 1.0k 1.5× 859 1.5× 142 1.7× 73 1.1× 92 1.4× 29 1.3k
Arash Asadi Germany 18 839 1.3× 555 1.0× 105 1.3× 44 0.7× 41 0.6× 52 992
Bheemarjuna Reddy Tamma India 17 709 1.1× 872 1.6× 36 0.4× 52 0.8× 65 1.0× 138 1.1k
André Puschmann Germany 7 471 0.7× 474 0.8× 42 0.5× 60 0.9× 58 0.9× 17 704
Gang Zhu China 16 1.0k 1.6× 569 1.0× 153 1.8× 93 1.4× 44 0.7× 98 1.2k
Diana Pamela Moya Osorio Finland 16 823 1.2× 446 0.8× 226 2.7× 68 1.0× 65 1.0× 58 1.1k
Marcus Windisch Germany 9 703 1.1× 461 0.8× 59 0.7× 60 0.9× 98 1.5× 13 923

Countries citing papers authored by Philipp Schulz

Since Specialization
Citations

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

Fields of papers citing papers by Philipp Schulz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philipp Schulz

This figure shows the co-authorship network connecting the top 25 collaborators of Philipp Schulz. A scholar is included among the top collaborators of Philipp Schulz 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 Schulz. Philipp Schulz 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.
Schulz, Philipp, et al.. (2025). From mMIMO to xMIMO: A Unified Design for Spatial Wideband Effect Mitigation. IEEE Wireless Communications Letters. 14(6). 1723–1727. 2 indexed citations
2.
Schulz, Philipp, et al.. (2025). Multi-Task Learning for mmWave Transceiver Beam Prediction. IEEE Open Journal of the Communications Society. 6. 5535–5551.
3.
Schulz, Philipp, et al.. (2024). On the Application of Reliability Theory to Cellular Network Mobility Performance Analysis. IEEE Wireless Communications Letters. 13(11). 3104–3108.
4.
Schulz, Philipp, et al.. (2024). Resource Allocation in V2X Networks: From Classical Optimization to Machine Learning-Based Solutions. IEEE Open Journal of the Communications Society. 5. 1958–1974. 9 indexed citations
5.
Schulz, Philipp, et al.. (2024). A Low-Complexity Machine Learning Design for mmWave Beam Prediction. IEEE Wireless Communications Letters. 13(6). 1551–1555. 8 indexed citations
6.
Schulz, Philipp, et al.. (2024). An Optimized OFDM Waveform Design for 6G Industrial Networks. IEEE Transactions on Wireless Communications. 23(11). 17324–17338. 3 indexed citations
7.
Awada, Ahmad, et al.. (2023). On the Analysis and Optimization of Fast Conditional Handover With Hand Blockage for Mobility. IEEE Access. 11. 30040–30056. 11 indexed citations
8.
Schulz, Philipp, et al.. (2023). Modeling Opportunistic Resource Fair Scheduling Efficiently for Multi-Beam 5G NR. IEEE Wireless Communications Letters. 12(10). 1682–1686. 1 indexed citations
9.
Schulz, Philipp, et al.. (2023). Machine Learning for Millimeter Wave and Terahertz Beam Management: A Survey and Open Challenges. IEEE Access. 11. 11880–11902. 48 indexed citations
10.
Li, Zhongju, Ahmad Nimr, Philipp Schulz, & Gerhard Fettweis. (2023). A Flexible Matrix Structure for Superresolution Delay Estimation. 1410–1415.
11.
Awada, Ahmad, et al.. (2022). Analysis and Performance Evaluation of Mobility for Multi-Panel User Equipment in 5G Networks. 2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring). 1–7. 7 indexed citations
12.
Schulz, Philipp, et al.. (2021). State-Aware Resource Allocation for Wireless Closed-Loop Control Systems. IEEE Transactions on Communications. 69(10). 6604–6619. 16 indexed citations
13.
Schulz, Philipp, et al.. (2021). Efficient and Reliable Wireless Communications via Multi-Connectivity Using Rateless Codes in Single- and Multi-User Scenarios. IEEE Transactions on Wireless Communications. 20(9). 5714–5729. 7 indexed citations
14.
Schulz, Philipp, Henrik Klessig, Meryem Simsek, & Gerhard Fettweis. (2020). Modeling QoE for Buffered Video Streaming in Interference-Limited Cellular Networks. IEEE Transactions on Multimedia. 23. 911–925. 4 indexed citations
15.
Schulz, Philipp, et al.. (2020). End-to-End Latency Distribution in Future Mobile Communication Networks.. 1–5. 1 indexed citations
16.
Schulz, Philipp, et al.. (2020). Stable Matching for Wireless URLLC in Multi-Cellular, Multi-User Systems. IEEE Transactions on Communications. 68(8). 5228–5241. 27 indexed citations
17.
Schulz, Philipp, Gerhard Fettweis, Andreas Mitschele‐Thiel, et al.. (2019). Network Architectures for Demanding 5G Performance Requirements: Tailored Toward Specific Needs of Efficiency and Flexibility. IEEE Vehicular Technology Magazine. 14(2). 33–43. 15 indexed citations
18.
Schulz, Philipp, et al.. (2019). Dynamic Connectivity for Robust Applications in Rayleigh-Fading Channels. IEEE Communications Letters. 24(2). 456–460. 3 indexed citations
19.
Schulz, Philipp, et al.. (2018). How Reliable and Capable is Multi-Connectivity?. IEEE Transactions on Communications. 67(2). 1506–1520. 61 indexed citations
20.
Schulz, Philipp, et al.. (2017). Diversity-Multiplexing Tradeoff for Multi-Connectivity and the Gain of Joint Decoding.. arXiv (Cornell University). 7 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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