Dennis Walter

671 total citations
25 papers, 332 citations indexed

About

Dennis Walter is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Biomedical Engineering. According to data from OpenAlex, Dennis Walter has authored 25 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Electrical and Electronic Engineering, 7 papers in Computer Networks and Communications and 5 papers in Biomedical Engineering. Recurrent topics in Dennis Walter's work include Low-power high-performance VLSI design (10 papers), Interconnection Networks and Systems (7 papers) and Advancements in Semiconductor Devices and Circuit Design (6 papers). Dennis Walter is often cited by papers focused on Low-power high-performance VLSI design (10 papers), Interconnection Networks and Systems (7 papers) and Advancements in Semiconductor Devices and Circuit Design (6 papers). Dennis Walter collaborates with scholars based in Germany, Sweden and Netherlands. Dennis Walter's co-authors include Sebastian Höppner, Holger Eisenreich, Georg Ellguth, René Schüffny, W. Weber, Jens Trommer, Akash Kumar, Stephan Henker, Thomas Mikolajick and Christian Mayr and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Journal of Solid-State Circuits and Frontiers in Neuroscience.

In The Last Decade

Dennis Walter

23 papers receiving 317 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dennis Walter Germany 11 255 63 59 53 45 25 332
Xiaoyang Zeng China 11 300 1.2× 97 1.5× 41 0.7× 67 1.3× 31 0.7× 71 394
Holger Eisenreich Germany 11 240 0.9× 45 0.7× 66 1.1× 52 1.0× 35 0.8× 22 275
Dimitrios Rodopoulos Greece 9 187 0.7× 49 0.8× 38 0.6× 48 0.9× 21 0.5× 34 326
Georg Ellguth Germany 12 324 1.3× 54 0.9× 68 1.2× 53 1.0× 101 2.2× 24 370
Kyung Ki Kim United States 10 274 1.1× 65 1.0× 36 0.6× 47 0.9× 10 0.2× 64 373
Na Gong United States 12 376 1.5× 46 0.7× 63 1.1× 72 1.4× 36 0.8× 80 471
Pravin Mane India 6 393 1.5× 51 0.8× 35 0.6× 90 1.7× 129 2.9× 18 430
Luiz Carlos Gouveia United Kingdom 8 167 0.7× 96 1.5× 28 0.5× 17 0.3× 40 0.9× 18 315
Rick Amerson United States 7 237 0.9× 24 0.4× 68 1.2× 136 2.6× 32 0.7× 12 306

Countries citing papers authored by Dennis Walter

Since Specialization
Citations

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

Fields of papers citing papers by Dennis Walter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dennis Walter

This figure shows the co-authorship network connecting the top 25 collaborators of Dennis Walter. A scholar is included among the top collaborators of Dennis Walter 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 Dennis Walter. Dennis Walter 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.
Rostami, Ali, Stefan Scholze, M. Berthel, et al.. (2025). NLU: An Adaptive, Small-Footprint, Low-Power Neural Learning Unit for Edge and IoT Applications. SHILAP Revista de lepidopterología. 6. 85–99.
2.
Guo, Liyuan, Stefan Scholze, M. Berthel, et al.. (2024). 68-channel neural signal processing system-on-chip with integrated feature extraction, compression, and hardware accelerators for neuroprosthetics in 22 nm FDSOI. Frontiers in Neuroscience. 18. 1432750–1432750. 3 indexed citations
3.
Scholze, Stefan, et al.. (2023). A RISC-V MCU with adaptive reverse body bias and ultra-low-power retention mode in 22 nm FD-SOI. 67–68. 2 indexed citations
4.
Gonzalez, Hector A., Bernhard Vogginger, Chen Liu, et al.. (2023). A 12-ADC 25-Core Smart MPSoC Using ABB in 22FDX for 77GHz MIMO Radars at 52.6mW Average Power. 1–2. 1 indexed citations
5.
Partzsch, Johannes, Chen Liu, Liyuan Guo, et al.. (2022). ZEN: A flexible energy-efficient hardware classifier exploiting temporal sparsity in ECG data. 214–217. 6 indexed citations
6.
Scholze, Stefan, et al.. (2022). A 16-Channel Fully Configurable Neural SoC With 1.52 $\mu$W/Ch Signal Acquisition, 2.79 $\mu$W/Ch Real-Time Spike Classifier, and 1.79 TOPS/W Deep Neural Network Accelerator in 22 nm FDSOI. IEEE Transactions on Biomedical Circuits and Systems. 16(1). 94–107. 32 indexed citations
7.
8.
Höppner, Sebastian, Holger Eisenreich, Dennis Walter, et al.. (2019). Adaptive Body Bias Aware Implementation for Ultra-Low-Voltage Designs in 22FDX Technology. IEEE Transactions on Circuits & Systems II Express Briefs. 67(10). 2159–2163. 23 indexed citations
9.
Kumar, Akash, Marcus Völp, Dennis Walter, et al.. (2017). Exploiting transistor-level reconfiguration to optimize combinational circuits. 338–343. 45 indexed citations
10.
Trommer, Jens, André Heinzig, Stefan Slesazeck, et al.. (2017). Reconfigurable germanium transistors with low source-drain leakage for secure and energy-efficient doping-free complementary circuits. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 11. 1–2. 4 indexed citations
11.
Höppner, Sebastian, Dennis Walter, Thomas Hocker, et al.. (2015). An Energy Efficient Multi-Gbit/s NoC Transceiver Architecture With Combined AC/DC Drivers and Stoppable Clocking in 65 nm and 28 nm CMOS. IEEE Journal of Solid-State Circuits. 50(3). 749–762. 17 indexed citations
12.
Höppner, Sebastian, et al.. (2014). An energy efficient multi-bit TSV transmitter using capacitive coupling. 650–653.
13.
14.
Höppner, Sebastian, et al.. (2013). A Fast-Locking ADPLL With Instantaneous Restart Capability in 28-nm CMOS Technology. IEEE Transactions on Circuits & Systems II Express Briefs. 60(11). 741–745. 36 indexed citations
15.
Ellinger, Frank, Gerhard Fettweis, Corrado Carta, et al.. (2013). Power-efficient high-frequency integrated circuits and communication systems developed within Cool Silicon cluster project. 1–2. 2 indexed citations
16.
Walter, Dennis, Sebastian Höppner, Holger Eisenreich, et al.. (2012). A source-synchronous 90Gb/s capacitively driven serial on-chip link over 6mm in 65nm CMOS. 180–182. 25 indexed citations
17.
Höppner, Sebastian, Dennis Walter, Georg Ellguth, & René Schüffny. (2011). Mismatch characterization of high-speed NoC links using asynchronous sub-sampling. 112–115. 2 indexed citations
18.
Frese, Udo, et al.. (2011). Guaranteeing functional safety: design for provability and computer-aided verification. Autonomous Robots. 32(3). 303–331. 30 indexed citations
19.
Frese, Udo, et al.. (2009). The Importance of Being Formal. Electronic Notes in Theoretical Computer Science. 238(4). 57–70. 4 indexed citations
20.
Hähnle, Reiner, et al.. (2008). Integration of a security type system into a program logic. Theoretical Computer Science. 402(2-3). 172–189. 4 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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