Franc Novak
- Electrical and Electronic Engineering
- Hardware and Architecture top 5%
- Artificial Intelligence
- Biomedical Engineering
- Control and Systems Engineering
- Co-authors
- Anton BiasizzoMarina Santo ZarnikGregor PapaSaša NovakDarko BelavičM. RenovellImre CikajloPascal Nouet
- Topics
- VLSI and Analog Circuit Testing (30 papers)Integrated Circuits and Semiconductor Failure Analysis (14 papers)Engineering and Test Systems (10 papers)
In The Last Decade
Franc Novak
75 papers receiving 464 citations
Peers
Comparison fields: 5 of 85
- Electrical and Electronic Engineering 253
- Hardware and Architecture 240
- Artificial Intelligence 81
- Biomedical Engineering 71
- Control and Systems Engineering 53
Countries citing papers authored by Franc Novak
This map shows the geographic impact of Franc Novak'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 Franc Novak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Franc Novak more than expected).
Fields of papers citing papers by Franc Novak
This network shows the impact of papers produced by Franc Novak. 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 Franc Novak. The network helps show where Franc Novak may publish in the future.
Co-authorship network of co-authors of Franc Novak
This figure shows the co-authorship network connecting the top 25 collaborators of Franc Novak. A scholar is included among the top collaborators of Franc Novak 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 Franc Novak. Franc Novak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 6 | |
| 3 | 3 | |
| 4 | Test Strategies for Embedded ADC Cores in a System-on-Chip, A Case Study | 1 |
| 5 | 45 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 21 | |
| 9 | 4 | |
| 10 | Educational support for computational geometry course - the delaunay triangulation tester | 1 |
| 11 | Functional Testing of Processor Cores in FPGA-Based Applications | 6 |
| 12 | A Quadtree-based Progressive Lossless Compression Technique for Volumetric Data Sets | 2 |
| 13 | 38 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 13 | |
| 17 | 6 | |
| 18 | 2 | |
| 19 | 1 | |
| 20 | 1 |
About Franc Novak
Franc Novak is a scholar working on Hardware and Architecture, Computer Graphics and Computer-Aided Design and Software, having authored 78 papers that have together received 501 indexed citations. Recurring topics across this work include VLSI and Analog Circuit Testing (30 papers), Integrated Circuits and Semiconductor Failure Analysis (14 papers) and Engineering and Test Systems (10 papers). The work is most often cited by research in Hardware and Architecture (240 citations), Software (18 citations) and Obstetrics and Gynecology (36 citations). Franc Novak has collaborated with scholars based in Slovenia, France and Spain. Frequent co-authors include Anton Biasizzo, Marina Santo Zarnik, Gregor Papa, Saša Novak, Darko Belavič, M. Renovell, Imre Cikajlo, Pascal Nouet, Igor Mozetič and F. Azaı̈s. Their work appears in journals such as American Journal of Obstetrics and Gynecology, Sensors and Journal of Materials Processing Technology.
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.