József Gál
- Cellular and Molecular Neuroscience top 10%
- Biomedical Engineering
- Global and Planetary Change top 10%
- Ecology
- Ecology, Evolution, Behavior and Systematics top 10%
- Co-authors
- Gábor HorváthRüdiger WehnerVictor Benno Meyer‐RochowAndrás BartaBence SuhaiIstván PomoziBalázs BernáthEuan N. K. Clarkson
- Topics
- Neurobiology and Insect Physiology Research (8 papers)Insect and Arachnid Ecology and Behavior (5 papers)Solar and Space Plasma Dynamics (4 papers)
- Cited by
- Cellular and Molecular NeuroscienceEcology, Evolution, Behavior and SystematicsGlobal and Planetary Change
- Partner nations
- HungaryGermanySwitzerland
In The Last Decade
József Gál
18 papers receiving 495 citations
Peers
Comparison fields: 5 of 75
- Cellular and Molecular Neuroscience 143
- Biomedical Engineering 134
- Global and Planetary Change 123
- Ecology 121
- Ecology, Evolution, Behavior and Systematics 114
Countries citing papers authored by József Gál
This map shows the geographic impact of József Gál'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 József Gál with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites József Gál more than expected).
Fields of papers citing papers by József Gál
This network shows the impact of papers produced by József Gál. 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 József Gál. The network helps show where József Gál may publish in the future.
Co-authorship network of co-authors of József Gál
This figure shows the co-authorship network connecting the top 25 collaborators of József Gál. A scholar is included among the top collaborators of József Gál 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 József Gál. József Gál is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | ECONOMIC CALCULATIONS RELATED TO THE PURCHASE OF PACKAGING MACHINES IN A POULTRY PROCESSING PLANT | 0 |
| 4 | 14 | |
| 5 | 36 | |
| 6 | 29 | |
| 7 | 27 | |
| 8 | 4 | |
| 9 | 28 | |
| 10 | 5 | |
| 11 | 13 | |
| 12 | 83 | |
| 13 | 26 | |
| 14 | 69 | |
| 15 | 69 | |
| 16 | 17 | |
| 17 | 25 | |
| 18 | 9 | |
| 19 | 30 | |
| 20 | 12 |
About József Gál
József Gál is a scholar working on Cellular and Molecular Neuroscience, Ecology, Evolution, Behavior and Systematics and Astronomy and Astrophysics, having authored 21 papers that have together received 526 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (8 papers), Insect and Arachnid Ecology and Behavior (5 papers) and Solar and Space Plasma Dynamics (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (143 citations), Ecology, Evolution, Behavior and Systematics (114 citations) and Global and Planetary Change (123 citations). József Gál has collaborated with scholars based in Hungary, Germany and Switzerland. Frequent co-authors include Gábor Horváth, Rüdiger Wehner, Victor Benno Meyer‐Rochow, András Barta, Bence Suhai, István Pomozi, Balázs Bernáth, Euan N. K. Clarkson, Gábor V. Horváth and Shai Sabbah. Their work appears in journals such as Journal of Geophysical Research Atmospheres, Remote Sensing of Environment and Vision Research.
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.