Patricia Graf
- Automotive Engineering top 0.5%
- Mechanical Engineering top 2%
- Industrial and Manufacturing Engineering top 0.5%
- Biomedical Engineering
- Ecology top 10%
- Co-authors
- Bhrigu AhujaTom VanekerMary Kathryn ThompsonAlain BernardFilomeno MartinaIan GibsonJoachim SchulzGeorges Fadel
- Topics
- Ecology and biodiversity studies (4 papers)University-Industry-Government Innovation Models (3 papers)Veterinary Equine Medical Research (3 papers)
- Partner nations
- GermanySwitzerlandNorway
In The Last Decade
Patricia Graf
26 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Automotive Engineering 1.2k
- Mechanical Engineering 877
- Industrial and Manufacturing Engineering 605
- Biomedical Engineering 250
- Ecology 228
Countries citing papers authored by Patricia Graf
This map shows the geographic impact of Patricia 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 Patricia Graf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patricia Graf more than expected).
Fields of papers citing papers by Patricia Graf
This network shows the impact of papers produced by Patricia 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 Patricia Graf. The network helps show where Patricia Graf may publish in the future.
Co-authorship network of co-authors of Patricia Graf
This figure shows the co-authorship network connecting the top 25 collaborators of Patricia Graf. A scholar is included among the top collaborators of Patricia 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 Patricia Graf. Patricia 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 | 0 | |
| 2 | 46 | |
| 3 | 2 | |
| 4 | 8 | |
| 5 | 0 | |
| 6 | 154 | |
| 7 | 7 | |
| 8 | Design for Additive Manufacturing: Trends, opportunities, considerations, and constraintsbreakdown → | 1419 |
| 9 | 44 | |
| 10 | 61 | |
| 11 | 1 | |
| 12 | 41 | |
| 13 | 1 | |
| 14 | 49 | |
| 15 | 2 | |
| 16 | 1 | |
| 17 | On some timber bark-beetles and their enemies. | 1 |
| 18 | 28 | |
| 19 | 22 | |
| 20 | 2 |
About Patricia Graf
Patricia Graf is a scholar working on Equine, Management of Technology and Innovation and Small Animals, having authored 30 papers that have together received 2.0k indexed citations. Recurring topics across this work include Ecology and biodiversity studies (4 papers), University-Industry-Government Innovation Models (3 papers) and Veterinary Equine Medical Research (3 papers). The work is most often cited by research in Automotive Engineering (1.2k citations), Industrial and Manufacturing Engineering (605 citations) and Equine (99 citations). Patricia Graf has collaborated with scholars based in Germany, Switzerland and Norway. Frequent co-authors include Bhrigu Ahuja, Tom Vaneker, Mary Kathryn Thompson, Alain Bernard, Filomeno Martina, Ian Gibson, Joachim Schulz, Georges Fadel, R.I. Campbell and Giovanni Moroni. Their work appears in journals such as PLoS ONE, Journal of Animal Ecology and Physiology & Behavior.
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.