Ulf Schlichtmann

5.4k total citations
356 papers, 3.5k citations indexed

About

Ulf Schlichtmann is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture and Biomedical Engineering. According to data from OpenAlex, Ulf Schlichtmann has authored 356 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 286 papers in Electrical and Electronic Engineering, 149 papers in Hardware and Architecture and 72 papers in Biomedical Engineering. Recurrent topics in Ulf Schlichtmann's work include VLSI and Analog Circuit Testing (73 papers), Electrowetting and Microfluidic Technologies (62 papers) and Low-power high-performance VLSI design (61 papers). Ulf Schlichtmann is often cited by papers focused on VLSI and Analog Circuit Testing (73 papers), Electrowetting and Microfluidic Technologies (62 papers) and Low-power high-performance VLSI design (61 papers). Ulf Schlichtmann collaborates with scholars based in Germany, United States and Taiwan. Ulf Schlichtmann's co-authors include Bing Li, Daniel Mueller-Gritschneder, Helmut Graeb, Tsung-Yi Ho, Frank Johannes, Tsun‐Ming Tseng, Peter Spindler, Grace Li Zhang, Mengchu Li and Tobias Massier and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and ACM Computing Surveys.

In The Last Decade

Ulf Schlichtmann

322 papers receiving 3.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ulf Schlichtmann Germany 27 2.8k 1.3k 815 382 314 356 3.5k
Massimo Alioto Singapore 38 3.8k 1.3× 1.2k 0.9× 1.4k 1.7× 582 1.5× 308 1.0× 302 4.7k
Sherief Reda United States 32 2.4k 0.8× 1.7k 1.2× 246 0.3× 283 0.7× 635 2.0× 153 3.2k
Michael Orshansky United States 33 3.6k 1.3× 2.0k 1.5× 396 0.5× 326 0.9× 425 1.4× 120 4.1k
Alex Yakovlev United Kingdom 27 2.5k 0.9× 2.2k 1.7× 401 0.5× 501 1.3× 1.2k 3.8× 498 4.3k
Tadahiro Kuroda Japan 35 4.1k 1.4× 700 0.5× 1.1k 1.4× 206 0.5× 709 2.3× 313 4.7k
Fadi Kurdahi United States 29 2.1k 0.7× 2.4k 1.8× 230 0.3× 258 0.7× 1.5k 4.9× 254 3.8k
Akash Kumar Germany 32 2.2k 0.8× 2.3k 1.7× 248 0.3× 432 1.1× 1.7k 5.3× 333 4.1k
Jiang Hu United States 32 2.9k 1.0× 2.0k 1.5× 161 0.2× 287 0.8× 693 2.2× 264 3.6k
Bashir M. Al‐Hashimi United Kingdom 39 4.1k 1.4× 2.6k 2.0× 652 0.8× 321 0.8× 2.0k 6.3× 337 5.6k
Ulrich Rückert Germany 22 1.0k 0.4× 524 0.4× 256 0.3× 638 1.7× 610 1.9× 255 2.2k

Countries citing papers authored by Ulf Schlichtmann

Since Specialization
Citations

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

Fields of papers citing papers by Ulf Schlichtmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ulf Schlichtmann

This figure shows the co-authorship network connecting the top 25 collaborators of Ulf Schlichtmann. A scholar is included among the top collaborators of Ulf Schlichtmann 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 Ulf Schlichtmann. Ulf Schlichtmann 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.
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Lin, Ing-Chao, et al.. (2025). Efficient Model Switching in RRAM-Based DNN Accelerators. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 44(10). 3738–3751.
3.
4.
Zhang, Grace Li, et al.. (2024). Computational and Storage Efficient Quadratic Neurons for Deep Neural Networks. 1–6. 1 indexed citations
5.
Schlichtmann, Ulf, et al.. (2024). MuNAS: TinyML Network Architecture Search Using Goal Attainment and Reinforcement Learning. 34. 1–8. 1 indexed citations
6.
Liang, Siyuan, Yushen Zhang, Mengchu Li, et al.. (2024). LaMUX: Optimized Logic-Gate-Enabled High-Performance Microfluidic Multiplexer Design. 1–6. 2 indexed citations
7.
Huang, Xing, Huayang Cai, Wenzhong Guo, et al.. (2023). Control-Logic Synthesis of Fully Programmable Valve Array Using Reinforcement Learning. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 43(1). 277–290. 5 indexed citations
8.
Mueller-Gritschneder, Daniel, et al.. (2023). MLonMCU: TinyML Benchmarking with Fast Retargeting. 32–36. 2 indexed citations
9.
Huang, Xing, Youlin Pan, Wenzhong Guo, et al.. (2022). Design Automation for Continuous-Flow Lab-on-a-Chip Systems: A One-Pass Paradigm. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 42(1). 327–331. 8 indexed citations
10.
Huang, Xing, Tsung-Yi Ho, Zepeng Li, et al.. (2022). MiniControl 2.0: Co-Synthesis of Flow and Control Layers for Microfluidic Biochips With Strictly Constrained Control Ports. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 41(12). 5449–5463. 8 indexed citations
11.
Li, Mengchu, Yushen Zhang, Ju Young Lee, et al.. (2022). Integrated Test Module Design for Microfluidic Large-Scale Integration. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 42(6). 1939–1950. 2 indexed citations
12.
Huang, Xing, Wenzhong Guo, Zhisheng Chen, et al.. (2021). Flow-Based Microfluidic Biochips With Distributed Channel Storage: Synthesis, Physical Design, and Wash Optimization. IEEE Transactions on Computers. 71(2). 464–478. 16 indexed citations
13.
Yu, Hui‐Chieh, Bing Li, Xing Huang, et al.. (2021). Contamination-Aware Synthesis for Programmable Microfluidic Devices. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 41(11). 5016–5029. 2 indexed citations
14.
Zhang, Grace Li, Bing Li, Meng Li, et al.. (2020). TimingCamouflage+: Netlist Security Enhancement With Unconventional Timing. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 39(12). 4482–4495. 8 indexed citations
15.
Liu, Chunfeng, Xing Huang, Bing Li, et al.. (2020). DCSA: Distributed Channel-Storage Architecture for Flow-Based Microfluidic Biochips. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 40(1). 115–128. 20 indexed citations
16.
Tseng, Tsun‐Ming, et al.. (2020). PSION+: Combining Logical Topology and Physical Layout Optimization for Wavelength-Routed ONoCs. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 39(12). 5197–5210. 14 indexed citations
17.
Mueller-Gritschneder, Daniel, et al.. (2020). A Distributed Hardware Monitoring System for Runtime Verification on Multi-Tile MPSoCs. ACM Transactions on Architecture and Code Optimization. 18(1). 1–25. 1 indexed citations
18.
Mueller-Gritschneder, Daniel, et al.. (2019). Driver Generation for IoT Nodes With Optimization of the Hardware/Software Interface. IEEE Embedded Systems Letters. 12(2). 66–69. 2 indexed citations
19.
Zhu, Ying, Xing Huang, Bing Li, et al.. (2019). Multicontrol: Advanced Control-Logic Synthesis for Flow-Based Microfluidic Biochips. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 39(10). 2489–2502. 25 indexed citations
20.
Schlichtmann, Ulf, et al.. (2018). Automated Phase-Noise-Aware Design of RF Clock Distribution Circuits. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 26(11). 2395–2405. 3 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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