Patrick Kacic
Impact in
- Environmental Engineering top 10%
- Remote Sensing and LiDAR Applications
- Ecological Modeling top 10%
- Species Distribution and Climate Change
Papers in
- Ecology 8
- Remote Sensing in Agriculture 7
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- Remote Sensing and LiDAR Applications 7
- Co-authors
- Claudia Kuenzer (6 shared papers)Emmanuel Da Ponte (1 shared paper)Andreas Hirner (1 shared paper)Ursula Geßner (6 shared papers)Frank Thonfeld (7 shared papers)Michele Torresani (3 shared papers)Duccio Rocchini (2 shared papers)Vítězslav Moudrý (2 shared papers)
- Journals
- Remote Sensing (5 papers)Ecological Informatics (2 papers)International Journal of Applied Earth Observation and Geoinformation (1 paper)Forest Ecology and Management (1 paper)Remote Sensing in Ecology and Conservation (1 paper)
- Partner nations
- GermanyKazakhstanItaly
In The Last Decade
Patrick Kacic
12 papers receiving 248 citations
Peers
Comparison fields: 5 of 46
- Environmental Engineering 125
- Ecological Modeling 35
- Ecology 148
- Nature and Landscape Conservation 68
- Global and Planetary Change 108
Countries citing papers authored by Patrick Kacic
This map shows the geographic impact of Patrick Kacic'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 Patrick Kacic with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Kacic more than expected).
Fields of papers citing papers by Patrick Kacic
This network shows the impact of papers produced by Patrick Kacic. 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 Patrick Kacic. The network helps show where Patrick Kacic may publish in the future.
Co-authors
The 25 scholars most cited alongside Patrick Kacic, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 52 | |
| 2 | 2022 | 49 | |
| 3 | 2024 | 41 | |
| 4 | 2021 | 40 | |
| 5 | 2023 | 33 | |
| 6 | 2023 | 16 | |
| 7 | 2022 | 10 | |
| 8 | 2024 | 6 | |
| 9 | 2024 | 5 | |
| 10 | 2025 | 3 | |
| 11 | 2023 | 2 | |
| 12 | 2025 | 2 | |
| 13 | 2026 | 0 | |
| 14 | 2026 | 0 | |
| 15 | 2025 | 0 |
About Patrick Kacic
Patrick Kacic is a scholar working on Ecology, Environmental Engineering, Global and Planetary Change, Insect Science and Nature and Landscape Conservation, having authored 15 papers that have together received 259 indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (7 papers), Remote Sensing and LiDAR Applications (7 papers), Forest Ecology and Biodiversity Studies (4 papers), Land Use and Ecosystem Services (3 papers), Forest ecology and management (3 papers), Species Distribution and Climate Change (2 papers), Forest Management and Policy (1 paper) and Plant Water Relations and Carbon Dynamics (1 paper). The work is most often cited by research in Environmental Engineering (125 citations), Ecological Modeling (35 citations), Ecology (148 citations), Nature and Landscape Conservation (68 citations) and Global and Planetary Change (108 citations). Patrick Kacic has collaborated with scholars based in Germany, Kazakhstan and Italy. Frequent co-authors include Claudia Kuenzer, Emmanuel Da Ponte, Andreas Hirner, Ursula Geßner, Frank Thonfeld, Michele Torresani, Duccio Rocchini, Vítězslav Moudrý, Enrico Tomelleri and Michael Heym. Their work appears in journals such as Remote Sensing, Ecological Informatics, International Journal of Applied Earth Observation and Geoinformation, Forest Ecology and Management and Remote Sensing in Ecology and Conservation.
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.