Philipp Häfliger
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- Neuroscience and Neural Engineering 38
- Cognitive Neuroscience top 2%
- Neural dynamics and brain function 10
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- Advanced Memory and Neural Computing 29
- CCD and CMOS Imaging Sensors 24
- Wireless Power Transfer Systems 7
- General Decision Sciences top 10%
- Artificial Intelligence top 5%
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- Analog and Mixed-Signal Circuit Design 11
- Advanced Sensor and Energy Harvesting Materials 5
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- Analytical Chemistry and Sensors 9
- Co-authors
- Tobi DelbrückTeresa Serrano‐GotarredonaB. Linares-BarrancoGert CauwenberghsYingxue WangAndré van SchaikFopefolu FolowoseleJohannes Schemmel
- Cited by
- Cellular and Molecular NeuroscienceCognitive NeuroscienceElectrical and Electronic Engineering
- Journals
- Journal of Neurophysiology (1 paper)Sensors (1 paper)Biosensors and Bioelectronics (1 paper)
- Partner nations
- NorwayUnited StatesSpain
In The Last Decade
Philipp Häfliger
68 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Cellular and Molecular Neuroscience 975
- Cognitive Neuroscience 961
- Electrical and Electronic Engineering 1.8k
- General Decision Sciences 20
- Artificial Intelligence 343
Countries citing papers authored by Philipp Häfliger
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
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
The 25 scholars most cited alongside Philipp Häfliger, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2019 | 1 | |
| 3 | 2018 | 23 | |
| 4 | 2018 | 25 | |
| 5 | 2017 | 16 | |
| 6 | 2017 | 5 | |
| 7 | 2016 | 3 | |
| 8 | 2016 | 1 | |
| 9 | 2015 | 3 | |
| 10 | 2015 | 4 | |
| 11 | 2015 | 8 | |
| 12 | 2014 | 76 | |
| 13 | 2014 | 4 | |
| 14 | 2013 | 2 | |
| 15 | 2013 | 9 | |
| 16 | Neuromorphic Silicon Neuron Circuitsbreakdown → | 2011 | 1277 |
| 17 | 2009 | 236 | |
| 18 | 2007 | 38 | |
| 19 | AER Building Blocks for Multi-Layer Multi-Chip Neuromorphic Vision Systems | 2005 | 56 |
| 20 | A Spike Based Learning Neuron in Analog VLSI | 1996 | 35 |
About Philipp Häfliger
Philipp Häfliger is a scholar working on Cellular and Molecular Neuroscience, Bioengineering and Electrical and Electronic Engineering, having authored 70 papers that have together received 2.3k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (38 papers), Advanced Memory and Neural Computing (29 papers), CCD and CMOS Imaging Sensors (24 papers), Analog and Mixed-Signal Circuit Design (11 papers), Neural dynamics and brain function (10 papers), Analytical Chemistry and Sensors (9 papers), Wireless Power Transfer Systems (7 papers) and Advanced Sensor and Energy Harvesting Materials (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (975 citations), Cognitive Neuroscience (961 citations) and Electrical and Electronic Engineering (1.8k citations). Philipp Häfliger has collaborated with scholars based in Norway, United States and Spain. Frequent 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. Their work appears in journals such as Journal of Neurophysiology, Sensors and Biosensors and Bioelectronics.
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.