Paul Heinemann
- Plant Science top 2%
- Analytical Chemistry top 0.5%
- Biomedical Engineering top 10%
- Cell Biology top 5%
- Pharmacology top 5%
- Co-authors
- Charles T. MorrowLong HeJames R. SchuppD.N. PeglerDaeun ChoiHannes SommerChangying LiAzlan Zahid
- Topics
- Smart Agriculture and AI (26 papers)Spectroscopy and Chemometric Analyses (26 papers)Mycorrhizal Fungi and Plant Interactions (23 papers)
- Journals
- SHILAP Revista de lepidopterologíaBioresource TechnologyJournal of Agricultural and Food Chemistry
- Partner nations
- United StatesRussiaGermany
In The Last Decade
Paul Heinemann
159 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 128
- Plant Science 1.3k
- Analytical Chemistry 448
- Biomedical Engineering 268
- Cell Biology 263
- Pharmacology 229
Countries citing papers authored by Paul Heinemann
This map shows the geographic impact of Paul Heinemann'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 Paul Heinemann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Heinemann more than expected).
Fields of papers citing papers by Paul Heinemann
This network shows the impact of papers produced by Paul Heinemann. 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 Paul Heinemann. The network helps show where Paul Heinemann may publish in the future.
Co-authorship network of co-authors of Paul Heinemann
This figure shows the co-authorship network connecting the top 25 collaborators of Paul Heinemann. A scholar is included among the top collaborators of Paul Heinemann 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 Paul Heinemann. Paul Heinemann 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 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 3 | |
| 10 | 34 | |
| 11 | 8 | |
| 12 | 6 | |
| 13 | 3 | |
| 14 | 8 | |
| 15 | "Borsenberichte": A Tip for Beginning Business German. | 1 |
| 16 | Neural networks versus traditional classifiers for machine vision inspection | 2 |
| 17 | Automated machine vision inspection of potatoes. | 26 |
| 18 | 6 | |
| 19 | Clave para la determinación de las especies de Agaricus (Agaricales) de la Patagonia y Tierra del Fuego | 2 |
| 20 | Agaricus geesterani, spec. nov. A very remarkable agaric discovered in the Netherlands | 4 |
About Paul Heinemann
Paul Heinemann is a scholar working on Plant Science, Analytical Chemistry and Process Chemistry and Technology, having authored 170 papers that have together received 2.0k indexed citations. Recurring topics across this work include Smart Agriculture and AI (26 papers), Spectroscopy and Chemometric Analyses (26 papers) and Mycorrhizal Fungi and Plant Interactions (23 papers). The work is most often cited by research in Analytical Chemistry (448 citations), Plant Science (1.3k citations) and Cell Biology (263 citations). Paul Heinemann has collaborated with scholars based in United States, Russia and Germany. Frequent co-authors include Charles T. Morrow, Long He, James R. Schupp, D.N. Pegler, Daeun Choi, Hannes Sommer, Changying Li, Azlan Zahid, Md Sultan Mahmud and Richard R. Sherry. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioresource Technology and Journal of Agricultural and Food Chemistry.
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.