Philipp Häfliger

3.3k total citations · 1 hit paper
70 papers, 2.3k citations indexed

About

Philipp Häfliger is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Biomedical Engineering. According to data from OpenAlex, Philipp Häfliger has authored 70 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Electrical and Electronic Engineering, 39 papers in Cellular and Molecular Neuroscience and 26 papers in Biomedical Engineering. Recurrent topics in Philipp Häfliger's work include Neuroscience and Neural Engineering (38 papers), Advanced Memory and Neural Computing (29 papers) and CCD and CMOS Imaging Sensors (24 papers). Philipp Häfliger is often cited by papers focused on Neuroscience and Neural Engineering (38 papers), Advanced Memory and Neural Computing (29 papers) and CCD and CMOS Imaging Sensors (24 papers). Philipp Häfliger collaborates with scholars based in Norway, United States and Spain. Philipp Häfliger's co-authors include Tobi Delbrück, Teresa Serrano‐Gotarredona, B. Linares-Barranco, Gert Cauwenberghs, Yingxue Wang, André van Schaik, Fopefolu Folowosele, Johannes Schemmel, Sylvie Renaud and Giacomo Indiveri and has published in prestigious journals such as Journal of Neurophysiology, Sensors and Biosensors and Bioelectronics.

In The Last Decade

Philipp Häfliger

68 papers receiving 2.3k citations

Hit Papers

Neuromorphic Silicon Neuron Circuits 2011 2026 2016 2021 2011 400 800 1.2k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Neuromorphic Silicon Neuron Circuits
    2011 1.3k citations Giacomo Indiveri, B. Linares-Barranco et al. Frontiers in Neuroscience profile →

Peers

Philipp Häfliger
Stephen P. DeWeerth United States
Hirokazu Takahashi Japan
Karlheinz Meier Germany
Johannes Schemmel Germany
Sylvie Renaud France
Elisabetta Chicca Germany
Francesco Galluppi United Kingdom
Yingxue Wang China
Roman Genov Canada
Emre Neftci United States
Stephen P. DeWeerth United States
Philipp Häfliger
Citations per year, relative to Philipp Häfliger Philipp Häfliger (= 1×) peers Stephen P. DeWeerth

Countries citing papers authored by Philipp Häfliger

Since Specialization
Citations

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

Fields of papers citing papers by Philipp Häfliger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philipp Häfliger

This figure shows the co-authorship network connecting the top 25 collaborators of Philipp Häfliger. A scholar is included among the top collaborators of Philipp Häfliger 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 Häfliger. Philipp Häfliger 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.
Louch, William E., et al.. (2025). Bioimpedance and electrophysiology measurements of engineered heart tissues outside the culture medium. Biosensors and Bioelectronics. 287. 117634–117634.
2.
Häfliger, Philipp, et al.. (2019). Low Noise Combined Optical-Chemical CMOS Sensor For Biomedical Application. 2. 394–398. 1 indexed citations
3.
Buccino, Alessio Paolo, Mikkel Elle Lepperød, Svenn-Arne Dragly, et al.. (2018). Open source modules for tracking animal behavior and closed-loop stimulation based on Open Ephys and Bonsai. Journal of Neural Engineering. 15(5). 55002–55002. 23 indexed citations
4.
Buccino, Alessio Paolo, Torbjørn V. Ness, Philipp Häfliger, et al.. (2018). Combining biophysical modeling and deep learning for multielectrode array neuron localization and classification. Journal of Neurophysiology. 120(3). 1212–1232. 25 indexed citations
5.
Häfliger, Philipp, et al.. (2017). A Miniaturized Two-Axis Ultra Low Latency and Low-Power Sun Sensor for Attitude Determination of Micro Space Probes. IEEE Transactions on Circuits and Systems I Regular Papers. 65(5). 1543–1554. 16 indexed citations
6.
Buccino, Alessio Paolo, Torbjørn V. Ness, Gaute T. Einevoll, Gert Cauwenberghs, & Philipp Häfliger. (2017). Localizing neuronal somata from Multi-Electrode Array in-vivo recordings using deep learning. PubMed. 2017. 974–977. 5 indexed citations
7.
Buccino, Alessio Paolo, et al.. (2016). Extracellular single neuron stimulation with high-density multi-electrode array. 520–523. 3 indexed citations
8.
Leñero‐Bardallo, Juan A., et al.. (2016). A time-to-first-n-spikes and time-out read-out extension to the AER arbitration system. pp. 1–6. 1 indexed citations
9.
Häfliger, Philipp, et al.. (2015). Integrated electronic system for implantable sensory NFC tag. PubMed. 2015. 7119–7122. 3 indexed citations
10.
Häfliger, Philipp, et al.. (2015). Miniaturized Sun sensor with in-pixel processing for Attitude Determination of micro space probes. i. 1–6. 4 indexed citations
11.
Leñero‐Bardallo, Juan A., et al.. (2015). A Bio-Inspired AER Temporal Tri-Color Differentiator Pixel Array. IEEE Transactions on Biomedical Circuits and Systems. 9(5). 686–698. 8 indexed citations
12.
Lande, Tor Sverre, et al.. (2014). A Sub-<formula formulatype="inline"><tex Notation="TeX">$\mu{\rm W}$</tex></formula> Bandgap Reference Circuit With an Inherent Curvature-Compensation Property. IEEE Transactions on Circuits and Systems I Regular Papers. 62(1). 1–9. 76 indexed citations
13.
Häfliger, Philipp, et al.. (2014). A 9.4-bit, 28.8-mV range inverter based readout circuit for implantable pressure bridge piezo-resistive sensor. 28. 2377–2380. 4 indexed citations
14.
Leñero‐Bardallo, Juan A. & Philipp Häfliger. (2013). A dual operation mode bio-inspired vision sensor. 310–313. 2 indexed citations
15.
Häfliger, Philipp, et al.. (2013). Design and Characterization of an Osmotic Sensor for the Detection of Events Associated With Dehydration and Overhydration. IEEE Journal of Translational Engineering in Health and Medicine. 1. 2700309–2700309. 9 indexed citations
16.
Indiveri, Giacomo, B. Linares-Barranco, Tara Julia Hamilton, et al.. (2011). Neuromorphic Silicon Neuron Circuits. Frontiers in Neuroscience. 5. 73–73. 1277 indexed citations breakdown →
17.
Serrano-Gotarredona, R., Matthias Oster, P. Lichtsteiner, et al.. (2009). CAVIAR: A 45k Neuron, 5M Synapse, 12G Connects/s AER Hardware Sensory–Processing– Learning–Actuating System for High-Speed Visual Object Recognition and Tracking. IEEE Transactions on Neural Networks. 20(9). 1417–1438. 236 indexed citations
18.
Häfliger, Philipp. (2007). Adaptive WTA With an Analog VLSI Neuromorphic Learning Chip. IEEE Transactions on Neural Networks. 18(2). 551–572. 38 indexed citations
19.
Serrano-Gotarredona, R., Matthias Oster, P. Lichtsteiner, et al.. (2005). AER Building Blocks for Multi-Layer Multi-Chip Neuromorphic Vision Systems. idUS (Universidad de Sevilla). 18. 1217–1224. 56 indexed citations
20.
Häfliger, Philipp, et al.. (1996). A Spike Based Learning Neuron in Analog VLSI. Neural Information Processing Systems. 692–698. 35 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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