Andre Guntoro
Impact in
- Hardware and Architecture top 10%
- Parallel Computing and Optimization Techniques
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- Advanced Neural Network Applications
Papers in
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- Advanced Memory and Neural Computing 15
- Ferroelectric and Negative Capacitance Devices 12
- Low-power high-performance VLSI design 5
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- Advanced Neural Network Applications 17
- Co-authors
- Gerd Ascheid (8 shared papers)Akash Kumar (7 shared papers)Norbert Wehn (10 shared papers)Sebastian Vogel (6 shared papers)Thomas Kämpfe (5 shared papers)Franz Müller (3 shared papers)Maximilian Lederer (3 shared papers)Walter Stechele (1 shared paper)
- Journals
- ACM Transactions on Embedded Computing Systems (1 paper)Future Generation Computer Systems (1 paper)IEEE Micro (1 paper)IEEE Journal on Emerging and Selected Topics in Circuits and Systems (1 paper)Advances in radio science (1 paper)
- Partner nations
- GermanyBelgiumNetherlands
In The Last Decade
Andre Guntoro
37 papers receiving 421 citations
Peers
Comparison fields: 5 of 44
- Hardware and Architecture 63
- Computer Vision and Pattern Recognition 140
- Electrical and Electronic Engineering 293
- Computational Mathematics 3
- Artificial Intelligence 138
Countries citing papers authored by Andre Guntoro
This map shows the geographic impact of Andre Guntoro'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 Andre Guntoro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andre Guntoro more than expected).
Fields of papers citing papers by Andre Guntoro
This network shows the impact of papers produced by Andre Guntoro. 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 Andre Guntoro. The network helps show where Andre Guntoro may publish in the future.
Co-authors
The 25 scholars most cited alongside Andre Guntoro, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 82 | |
| 2 | 2018 | 53 | |
| 3 | 2018 | 40 | |
| 4 | 2019 | 40 | |
| 5 | 2003 | 29 | |
| 6 | 2020 | 28 | |
| 7 | 2022 | 24 | |
| 8 | 2019 | 21 | |
| 9 | 2020 | 15 | |
| 10 | 2020 | 13 | |
| 11 | 2021 | 9 | |
| 12 | 2020 | 8 | |
| 13 | 2022 | 6 | |
| 14 | 2020 | 6 | |
| 15 | 2023 | 5 | |
| 16 | 2022 | 4 | |
| 17 | 2024 | 4 | |
| 18 | 2020 | 4 | |
| 19 | 2008 | 4 | |
| 20 | 2021 | 4 |
About Andre Guntoro
Andre Guntoro is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering and Signal Processing, having authored 40 papers that have together received 431 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (17 papers), Advanced Memory and Neural Computing (15 papers), Ferroelectric and Negative Capacitance Devices (12 papers), Adversarial Robustness in Machine Learning (8 papers), Numerical Methods and Algorithms (5 papers), Low-power high-performance VLSI design (5 papers), Analog and Mixed-Signal Circuit Design (5 papers) and Music and Audio Processing (4 papers). The work is most often cited by research in Hardware and Architecture (63 citations), Computer Vision and Pattern Recognition (140 citations), Electrical and Electronic Engineering (293 citations), Computational Mathematics (3 citations) and Artificial Intelligence (138 citations). Andre Guntoro has collaborated with scholars based in Germany, Belgium and Netherlands. Frequent co-authors include Gerd Ascheid, Akash Kumar, Norbert Wehn, Sebastian Vogel, Thomas Kämpfe, Franz Müller, Maximilian Lederer, Walter Stechele, Tarek Ali and Manfred Glesner. Their work appears in journals such as ACM Transactions on Embedded Computing Systems, Future Generation Computer Systems, IEEE Micro, IEEE Journal on Emerging and Selected Topics in Circuits and Systems and Advances in radio science.
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.