Heinz‐Gerd Graf
- Electrical and Electronic Engineering top 10%
- Cellular and Molecular Neuroscience top 10%
- Cognitive Neuroscience
- Biomedical Engineering
- Molecular Biology
- Co-authors
- Christine HarendtB. HöfflingerB. HoefflingerH. HaemmerleElke GuentherW. NischAlfred StettM.B. Schubert
- Topics
- CCD and CMOS Imaging Sensors (9 papers)Electronic Packaging and Soldering Technologies (6 papers)3D IC and TSV technologies (6 papers)
- Cited by
- Cellular and Molecular NeuroscienceElectrical and Electronic EngineeringCognitive Neuroscience
- Partner nations
- GermanyUnited States
In The Last Decade
Heinz‐Gerd Graf
22 papers receiving 417 citations
Peers
Comparison fields: 5 of 49
- Electrical and Electronic Engineering 362
- Cellular and Molecular Neuroscience 218
- Cognitive Neuroscience 64
- Biomedical Engineering 63
- Molecular Biology 37
Countries citing papers authored by Heinz‐Gerd Graf
This map shows the geographic impact of Heinz‐Gerd Graf'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 Heinz‐Gerd Graf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heinz‐Gerd Graf more than expected).
Fields of papers citing papers by Heinz‐Gerd Graf
This network shows the impact of papers produced by Heinz‐Gerd Graf. 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 Heinz‐Gerd Graf. The network helps show where Heinz‐Gerd Graf may publish in the future.
Co-authorship network of co-authors of Heinz‐Gerd Graf
This figure shows the co-authorship network connecting the top 25 collaborators of Heinz‐Gerd Graf. A scholar is included among the top collaborators of Heinz‐Gerd Graf 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 Heinz‐Gerd Graf. Heinz‐Gerd Graf is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 41 | |
| 2 | 5 | |
| 3 | 4 | |
| 4 | 15 | |
| 5 | 3 | |
| 6 | 12 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 2 | |
| 10 | 26 | |
| 11 | 1 | |
| 12 | 159 | |
| 13 | 49 | |
| 14 | 2 | |
| 15 | 4 | |
| 16 | 16 | |
| 17 | 22 | |
| 18 | 23 | |
| 19 | 11 | |
| 20 | 10 |
About Heinz‐Gerd Graf
Heinz‐Gerd Graf is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Instrumentation, having authored 22 papers that have together received 454 indexed citations. Recurring topics across this work include CCD and CMOS Imaging Sensors (9 papers), Electronic Packaging and Soldering Technologies (6 papers) and 3D IC and TSV technologies (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (218 citations), Electrical and Electronic Engineering (362 citations) and Cognitive Neuroscience (64 citations). Heinz‐Gerd Graf has collaborated with scholars based in Germany and United States. Frequent co-authors include Christine Harendt, B. Höfflinger, B. Hoefflinger, H. Haemmerle, Elke Guenther, W. Nisch, Alfred Stett, M.B. Schubert, Virginie Gabel and E. Zrenner. Their work appears in journals such as Journal of The Electrochemical Society, Sensors and IEEE Journal of Solid-State Circuits.
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.