Marc Reichenbach

672 total citations
80 papers, 353 citations indexed

About

Marc Reichenbach is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture and Computer Networks and Communications. According to data from OpenAlex, Marc Reichenbach has authored 80 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Electrical and Electronic Engineering, 32 papers in Hardware and Architecture and 16 papers in Computer Networks and Communications. Recurrent topics in Marc Reichenbach's work include CCD and CMOS Imaging Sensors (25 papers), Advanced Memory and Neural Computing (22 papers) and Embedded Systems Design Techniques (22 papers). Marc Reichenbach is often cited by papers focused on CCD and CMOS Imaging Sensors (25 papers), Advanced Memory and Neural Computing (22 papers) and Embedded Systems Design Techniques (22 papers). Marc Reichenbach collaborates with scholars based in Germany, United States and Italy. Marc Reichenbach's co-authors include Dietmar Fey, Michael Schmidt, André Kaup, Christian Herglotz, Benno Stabernack, Robert Weigel, Amelie Hagelauer, Michael Huebner, Simon Bøgh and Ralf R. Müller and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and Scientific Reports.

In The Last Decade

Marc Reichenbach

69 papers receiving 346 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marc Reichenbach Germany 10 178 92 90 61 36 80 353
Mingyu Wang China 12 190 1.1× 144 1.6× 55 0.6× 36 0.6× 14 0.4× 75 427
Maurizio Capra Italy 5 172 1.0× 116 1.3× 45 0.5× 87 1.4× 20 0.6× 7 365
Marco Indaco Italy 12 162 0.9× 42 0.5× 148 1.6× 122 2.0× 22 0.6× 38 363
P Manoj United States 10 173 1.0× 25 0.3× 103 1.1× 76 1.2× 10 0.3× 38 352
Shengbing Zhang China 9 116 0.7× 59 0.6× 42 0.5× 64 1.0× 25 0.7× 74 277
Yifan He China 9 382 2.1× 117 1.3× 109 1.2× 51 0.8× 28 0.8× 46 488
Diego Puschini France 10 136 0.8× 61 0.7× 126 1.4× 119 2.0× 13 0.4× 36 295
W. Bruce Culbertson United States 11 175 1.0× 179 1.9× 148 1.6× 85 1.4× 10 0.3× 13 436
Injoon Hong South Korea 11 195 1.1× 163 1.8× 33 0.4× 48 0.8× 8 0.2× 37 323
J. Soumya India 12 220 1.2× 34 0.4× 119 1.3× 231 3.8× 12 0.3× 56 427

Countries citing papers authored by Marc Reichenbach

Since Specialization
Citations

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

Fields of papers citing papers by Marc Reichenbach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marc Reichenbach

This figure shows the co-authorship network connecting the top 25 collaborators of Marc Reichenbach. A scholar is included among the top collaborators of Marc Reichenbach 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 Marc Reichenbach. Marc Reichenbach 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.
Fey, Dietmar, et al.. (2025). RISC-V CPU Design Using RRAM-CMOS Standard Cells. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 33(9). 2406–2414.
2.
Vargas, Fabian, et al.. (2025). RRAMulator: An efficient FPGA-based emulator for RRAM crossbar with device variability and energy consumption evaluation. Microelectronics Reliability. 168. 115630–115630.
3.
Reichenbach, Marc, et al.. (2025). Comparison of Bluetooth Low Energy (BLE), Wi-Fi, Serial and 5G in IoMT. 859–866.
4.
5.
Krstić, Miloš, et al.. (2024). Design and analysis of an adaptive radiation resilient RRAM subsystem for processing systems in satellites. Design Automation for Embedded Systems. 28(2). 111–137.
6.
Reichenbach, Marc, et al.. (2024). XplAInable: Explainable AI Smoke Detection at the Edge. Big Data and Cognitive Computing. 8(5). 50–50. 5 indexed citations
7.
Schubert, Andreas, et al.. (2024). Area-Efficient Digital Design Using RRAM-CMOS Standard Cells. 81–87. 1 indexed citations
8.
Yamamoto, Y., et al.. (2023). Robust Si/Ge heterostructure metasurfaces as building blocks for wavelength-selective photodetectors. Applied Physics Letters. 122(12). 10 indexed citations
9.
Reichenbach, Marc, et al.. (2023). A Modular Communication Architecture for Adaptive UAV Swarms. 3. 1–6.
10.
Hagelauer, Amelie, et al.. (2023). An RRAM-based building block for reprogrammable non-uniform sampling ADCs. it - Information Technology. 65(1-2). 39–51. 1 indexed citations
11.
Silvano, Cristina, Christian Pilato, & Marc Reichenbach. (2023). Embedded Computer Systems: Architectures, Modeling, and Simulation. Lecture notes in computer science. 1 indexed citations
12.
Breiling, Marco, et al.. (2021). A Low-Power RRAM Memory Block for Embedded, Multi-Level Weight and Bias Storage in Artificial Neural Networks. Micromachines. 12(11). 1277–1277. 7 indexed citations
13.
Hagelauer, Amelie, et al.. (2021). A Framework for Ultra Low-Power Hardware Accelerators Using NNs for Embedded Time Series Classification. Journal of Low Power Electronics and Applications. 12(1). 2–2.
14.
Abel, François, et al.. (2021). A Case for Function-as-a-Service with Disaggregated FPGAs. 333–344. 10 indexed citations
15.
Fey, Dietmar, et al.. (2021). Simulating large neural networks embedding MLC RRAM as weight storage considering device variations. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 1–4. 5 indexed citations
16.
Mahadevaiah, Mamathamba Kalishettyhalli, et al.. (2021). A Versatile, Voltage-Pulse Based Read and Programming Circuit for Multi-Level RRAM Cells. Electronics. 10(5). 530–530. 8 indexed citations
17.
Reichenbach, Marc, et al.. (2019). Utilizing PYNQ for Accelerating Image Processing Functions in ADAS Applications. 1–8. 3 indexed citations
18.
Reichenbach, Marc, et al.. (2017). Case study on memristor‐based multilevel memories. International Journal of Circuit Theory and Applications. 46(1). 99–112. 12 indexed citations
19.
Reichenbach, Marc, et al.. (2016). Low-power analog smart camera sensor for edge detection. 4408–4412. 7 indexed citations
20.
Reichenbach, Marc, et al.. (2013). Smart sensor architectures for embedded biosignal analysis. 174–181. 6 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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