Nina Boesche
- Artificial Intelligence top 10%
- Media Technology top 2%
- Civil and Structural Engineering top 10%
- Environmental Engineering top 10%
- Ecology
- Co-authors
- Christian MielkeChristian RogaßHermann KaufmannUwe AltenbergerChristoph GauertJorge L. RamírezBritaldo Soares‐FilhoFernando Figueiredo Goulart
- Topics
- Remote-Sensing Image Classification (10 papers)Geochemistry and Geologic Mapping (10 papers)Soil Geostatistics and Mapping (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaSensorsRemote Sensing
- Partner nations
- GermanySouth AfricaCanada
In The Last Decade
Nina Boesche
14 papers receiving 545 citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Artificial Intelligence 199
- Media Technology 164
- Civil and Structural Engineering 111
- Environmental Engineering 76
- Ecology 72
Countries citing papers authored by Nina Boesche
This map shows the geographic impact of Nina Boesche'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 Nina Boesche with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nina Boesche more than expected).
Fields of papers citing papers by Nina Boesche
This network shows the impact of papers produced by Nina Boesche. 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 Nina Boesche. The network helps show where Nina Boesche may publish in the future.
Co-authorship network of co-authors of Nina Boesche
This figure shows the co-authorship network connecting the top 25 collaborators of Nina Boesche. A scholar is included among the top collaborators of Nina Boesche 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 Nina Boesche. Nina Boesche is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 19 | |
| 3 | Deep into the mud: ecological and socio-economic impacts of the dam breach in Mariana, Brazilbreakdown → | 279 |
| 4 | 1 | |
| 5 | 35 | |
| 6 | 2 | |
| 7 | 9 | |
| 8 | 67 | |
| 9 | 7 | |
| 10 | 15 | |
| 11 | 37 | |
| 12 | 7 | |
| 13 | 74 | |
| 14 | Provenance Analysis of Surface Sediments in the Chew Bahir Basin (Ethiopia) using Remote Sensing Data | 1 |
About Nina Boesche
Nina Boesche is a scholar working on Media Technology, Environmental Engineering and Artificial Intelligence, having authored 14 papers that have together received 557 indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (10 papers), Geochemistry and Geologic Mapping (10 papers) and Soil Geostatistics and Mapping (5 papers). The work is most often cited by research in Media Technology (164 citations), Artificial Intelligence (199 citations) and Environmental Engineering (76 citations). Nina Boesche has collaborated with scholars based in Germany, South Africa and Canada. Frequent co-authors include Christian Mielke, Christian Rogaß, Hermann Kaufmann, Uwe Altenberger, Christoph Gauert, Jorge L. Ramírez, Britaldo Soares‐Filho, Fernando Figueiredo Goulart, Geraldo Wilson Fernandes and Maximilian Brell. Their work appears in journals such as SHILAP Revista de lepidopterología, Sensors and Remote Sensing.
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.