Andreas Wild

5.1k total citations · 1 hit paper
30 papers, 1.0k citations indexed

About

Andreas Wild is a scholar working on Electrical and Electronic Engineering, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Andreas Wild has authored 30 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Electrical and Electronic Engineering, 5 papers in Cognitive Neuroscience and 4 papers in Artificial Intelligence. Recurrent topics in Andreas Wild's work include Advanced Memory and Neural Computing (8 papers), Semiconductor materials and devices (7 papers) and Ferroelectric and Negative Capacitance Devices (6 papers). Andreas Wild is often cited by papers focused on Advanced Memory and Neural Computing (8 papers), Semiconductor materials and devices (7 papers) and Ferroelectric and Negative Capacitance Devices (6 papers). Andreas Wild collaborates with scholars based in United States, Germany and Austria. Andreas Wild's co-authors include Mike Davies, Yulia Sandamirskaya, Garrick Orchard, Sumedh R. Risbud, G. A. Fonseca Guerra, Prasad Joshi, Wolfgang Maass, A. Ravishankar Rao, K. Joardar and K.K. Gullapalli and has published in prestigious journals such as Analytical Chemistry, The Journal of Physical Chemistry B and Proceedings of the IEEE.

In The Last Decade

Andreas Wild

26 papers receiving 1.0k citations

Hit Papers

Advancing Neuromorphic Computing With Loihi: A Survey of ... 2021 2026 2022 2024 2021 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andreas Wild United States 12 872 245 218 167 133 30 1.0k
Sity Lam United States 11 801 0.9× 167 0.7× 68 0.3× 82 0.5× 215 1.6× 21 895
Yuhao Sun China 7 633 0.7× 167 0.7× 107 0.5× 138 0.8× 292 2.2× 12 775
Tae‐Hyeon Kim South Korea 23 1.0k 1.2× 138 0.6× 123 0.6× 124 0.7× 399 3.0× 91 1.4k
Spyros Stathopoulos United Kingdom 14 863 1.0× 81 0.3× 127 0.6× 120 0.7× 392 2.9× 59 946
Ya‐Nan Zhong China 17 1.5k 1.7× 695 2.8× 386 1.8× 219 1.3× 361 2.7× 54 1.7k
Chunmeng Dou China 19 1.2k 1.3× 152 0.6× 101 0.5× 299 1.8× 306 2.3× 75 1.4k
Kyung-Hyun Kim South Korea 15 930 1.1× 54 0.2× 62 0.3× 145 0.9× 258 1.9× 52 1.1k
Yuhan Shi China 15 506 0.6× 222 0.9× 121 0.6× 89 0.5× 202 1.5× 56 873
L. J. Deng China 15 605 0.7× 121 0.5× 133 0.6× 92 0.6× 282 2.1× 35 919
Bingjie Dang China 17 1.1k 1.3× 347 1.4× 226 1.0× 206 1.2× 371 2.8× 33 1.2k

Countries citing papers authored by Andreas Wild

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Wild

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andreas Wild

This figure shows the co-authorship network connecting the top 25 collaborators of Andreas Wild. A scholar is included among the top collaborators of Andreas Wild 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 Andreas Wild. Andreas Wild 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.
Guerra, G. A. Fonseca, et al.. (2024). Neuromorphic Quadratic Programming for Efficient and Scalable Model Predictive Control: Towards Advancing Speed and Energy Efficiency in Robotic Control. IEEE Robotics & Automation Magazine. 32(2). 69–79. 4 indexed citations
2.
Rao, A. Ravishankar, et al.. (2022). A Long Short-Term Memory for AI Applications in Spike-based Neuromorphic Hardware. Nature Machine Intelligence. 4(5). 467–479. 88 indexed citations
3.
Rueckauer, Bodo, et al.. (2022). NxTF: An API and compiler for deep spiking neural networks on Intel Loihi. Radboud Repository (Radboud University). 39 indexed citations
4.
Davies, Mike, Andreas Wild, Garrick Orchard, et al.. (2021). Advancing Neuromorphic Computing With Loihi: A Survey of Results and Outlook. Proceedings of the IEEE. 109(5). 911–934. 332 indexed citations breakdown →
5.
Schultz, P. F., et al.. (2019). Unsupervised Dictionary Learning via a Spiking Locally Competitive Algorithm. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1–5. 4 indexed citations
7.
Lin, Chit-Kwan, Andreas Wild, Gautham N. Chinya, et al.. (2018). Programming Spiking Neural Networks on Intel’s Loihi. Computer. 51(3). 52–61. 87 indexed citations
8.
Hagemann, Tino, Jan Winsberg, Bernhard Häupler, et al.. (2017). A bipolar nitronyl nitroxide small molecule for an all-organic symmetric redox-flow battery. NPG Asia Materials. 9(1). e340–e340. 71 indexed citations
9.
Then, Patrick, Gary Razinskas, Thorsten Feichtner, et al.. (2014). Remote detection of single emitters via optical waveguides. Physical Review A. 89(5). 6 indexed citations
10.
Kästner, Christian, et al.. (2013). Improved phase separation in polymer solar cells by solvent blending. Journal of Polymer Science Part B Polymer Physics. 51(11). 868–874. 11 indexed citations
11.
Usluer, Özlem, Christian Kästner, Mamatimin Abbas, et al.. (2012). Charge carrier mobility, photovoltaic, and electroluminescent properties of anthracene‐based conjugated polymers bearing randomly distributed side chains. Journal of Polymer Science Part A Polymer Chemistry. 50(16). 3425–3436. 23 indexed citations
12.
Then, Patrick, Andreas Wild, Wilfried Grange, et al.. (2010). Fast Quantitative Single-Molecule Detection at Ultralow Concentrations. Analytical Chemistry. 82(14). 6299–6302. 25 indexed citations
13.
Grange, Wilfried, et al.. (2008). Detection of Transient Events in the Presence of Background Noise. The Journal of Physical Chemistry B. 112(23). 7140–7144. 5 indexed citations
14.
Egbe, Daniel Ayuk Mbi, et al.. (2007). Combined effects of conjugation pattern and alkoxy side chains on the photovoltaic properties of thiophene‐containing PPE‐PPVs. Journal of Polymer Science Part A Polymer Chemistry. 45(9). 1619–1631. 34 indexed citations
15.
Bafleur, Marise, et al.. (2002). Systematic calibration of process simulators for predictive TCAD. 55. 273–275. 4 indexed citations
16.
Selberherr, S., et al.. (1999). Closed-Loop MOSFET Doping Profile Optimization for Portable Systems. TechConnect Briefs. 411–414. 7 indexed citations
17.
Stockinger, Michael, Andreas Wild, & S. Selberherr. (1999). Drive performance of an asymmetric MOSFET structure: the peak device. Microelectronics Journal. 30(3). 229–233. 7 indexed citations
18.
Joardar, K., et al.. (1998). An improved MOSFET model for circuit simulation. IEEE Transactions on Electron Devices. 45(1). 134–148. 106 indexed citations
19.
Wild, Andreas. (1993). Modern trends in ASIC: Mixing technologies. Microelectronics Reliability. 33(5). 659–662. 1 indexed citations
20.
Benson, R. S., et al.. (1969). Paper 34: Effects of Variable Specific Heats and Gas Composition on Unsteady Flow Calculations. Proceedings of the Institution of Mechanical Engineers Conference Proceedings. 184(7). 101–107. 2 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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