Francis Canisius

720 total citations
23 papers, 527 citations indexed

About

Francis Canisius is a scholar working on Ecology, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, Francis Canisius has authored 23 papers receiving a total of 527 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Ecology, 11 papers in Environmental Engineering and 11 papers in Global and Planetary Change. Recurrent topics in Francis Canisius's work include Remote Sensing in Agriculture (14 papers), Remote Sensing and LiDAR Applications (7 papers) and Flood Risk Assessment and Management (5 papers). Francis Canisius is often cited by papers focused on Remote Sensing in Agriculture (14 papers), Remote Sensing and LiDAR Applications (7 papers) and Flood Risk Assessment and Management (5 papers). Francis Canisius collaborates with scholars based in Canada, Sri Lanka and United Kingdom. Francis Canisius's co-authors include Richard Fernandes, Jing M. Chen, Hugh Turral, David Molden, John M. Kovacs, Xiaoyuan Geng, Dan Walters, Xianfeng Jiao, Jiangui Liu and Jiali Shang and has published in prestigious journals such as Remote Sensing of Environment, International Journal of Remote Sensing and Remote Sensing.

In The Last Decade

Francis Canisius

22 papers receiving 506 citations

Peers

Francis Canisius
Comparison fields: 5 of 57
  • Ecology 337
  • Environmental Engineering 272
  • Global and Planetary Change 201
  • Atmospheric Science 137
  • Plant Science 106
Replace Minfeng Xing with:
Minfeng Xing China
Jai Singh Parihar India
Christoph Hütt Germany
Amanda Veloso France
Isabella Pfeil Austria
Xiru Xu China
Claire Marais-Sicre France
Carl H. Menges Australia
Edward J. Masuoka United States
Milena Planells France
Minfeng Xing China View profile →
Citations per field, relative to Francis Canisius
Francis Canisius · 1×
Citations per year, relative to Francis Canisius
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Countries citing papers authored by Francis Canisius

Since Specialization
Citations

This map shows the geographic impact of Francis Canisius'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 Francis Canisius with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francis Canisius more than expected).

Fields of papers citing papers by Francis Canisius

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Francis Canisius. 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 Francis Canisius. The network helps show where Francis Canisius may publish in the future.

Co-authorship network of co-authors of Francis Canisius

This figure shows the co-authorship network connecting the top 25 collaborators of Francis Canisius. A scholar is included among the top collaborators of Francis Canisius 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 Francis Canisius. Francis Canisius is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 62
3 5
4 50
5 20
6 5
7 29
8 2
9
Robust Leaf Area Index Retrieval Using Sentinel 2 Red-Edge Bands
1
10 18
11 5
12 20
13 33
14
Fusion Technique to Extract Detail Information from Moderate Resolution Data for Global Scale Image Map Production
2
15 6
16
Mapping and detecting land use/cover change in Tobago using remote sensing and GIS
1
17 44
18 53
19 11
20 3

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.

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