Inge Aalders

1.2k total citations · 1 hit paper
21 papers, 872 citations indexed

About

Inge Aalders is a scholar working on Ecology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Inge Aalders has authored 21 papers receiving a total of 872 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Ecology, 8 papers in Global and Planetary Change and 6 papers in Environmental Engineering. Recurrent topics in Inge Aalders's work include Land Use and Ecosystem Services (6 papers), Peatlands and Wetlands Ecology (5 papers) and Soil Geostatistics and Mapping (5 papers). Inge Aalders is often cited by papers focused on Land Use and Ecosystem Services (6 papers), Peatlands and Wetlands Ecology (5 papers) and Soil Geostatistics and Mapping (5 papers). Inge Aalders collaborates with scholars based in United Kingdom, Netherlands and France. Inge Aalders's co-authors include Rupert Hough, Mads Troldborg, Nana Yaw Amponsah, Matt Aitkenhead, W. Towers, Lisa Norton, Klaus Glenk, Julia Martín-Ortega, David Miller and Alistair McVittie and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, PLoS ONE and Remote Sensing of Environment.

In The Last Decade

Inge Aalders

21 papers receiving 840 citations

Hit Papers

Greenhouse gas emissions from renewable energy sources: A... 2014 2026 2018 2022 2014 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Inge Aalders United Kingdom 14 254 201 166 103 103 21 872
Charles Fant United States 19 331 1.3× 156 0.8× 105 0.6× 126 1.2× 173 1.7× 32 1.4k
Dan Chen China 18 286 1.1× 257 1.3× 189 1.1× 65 0.6× 49 0.5× 71 1.2k
Takashi Machimura Japan 20 327 1.3× 217 1.1× 133 0.8× 125 1.2× 67 0.7× 83 1.2k
Thomas Buchholz United States 13 302 1.2× 198 1.0× 73 0.4× 153 1.5× 53 0.5× 32 950
Seleshi Yalew Netherlands 11 369 1.5× 228 1.1× 76 0.5× 77 0.7× 166 1.6× 25 1.0k
Yanwei Zhao China 21 300 1.2× 308 1.5× 255 1.5× 65 0.6× 61 0.6× 62 1.0k
Yanlong Guan China 16 321 1.3× 227 1.1× 111 0.7× 119 1.2× 64 0.6× 32 909
Guohua He China 19 245 1.0× 259 1.3× 112 0.7× 123 1.2× 68 0.7× 55 970
James R. Meldrum United States 16 396 1.6× 174 0.9× 80 0.5× 204 2.0× 113 1.1× 51 1.0k

Countries citing papers authored by Inge Aalders

Since Specialization
Citations

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

Fields of papers citing papers by Inge Aalders

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Inge Aalders

This figure shows the co-authorship network connecting the top 25 collaborators of Inge Aalders. A scholar is included among the top collaborators of Inge Aalders 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 Inge Aalders. Inge Aalders 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
1.
Poggio, Laura, et al.. (2020). Legacy data for 3D modelling of peat properties with uncertainty estimation in Dava bog - Scotland. Geoderma Regional. 22. e00288–e00288. 2 indexed citations
2.
3.
Pražan, Jaroslav & Inge Aalders. (2019). Typology of Agro-Ecological Farming Systems and Practices in the EU and the Selection of Case Studies. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
4.
Lenormand, Maxime, Sandra Luque, Johannes Langemeyer, et al.. (2018). Multiscale socio-ecological networks in the age of information. PLoS ONE. 13(11). e0206672–e0206672. 34 indexed citations
5.
Aalders, Inge, et al.. (2018). Towards an indicator-based assessment of cultural heritage as a cultural ecosystem service – A case study of Scottish landscapes. Ecological Indicators. 95. 288–297. 30 indexed citations
6.
Fleury, Philippe, et al.. (2018). Adapted SES Framework for AEFS and Guidelines for Assessing Sustainability of Agricultural Systems in Europe. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
7.
Poggio, Laura, et al.. (2015). Modelling uncertainty of carbon stocks changes in peats.. EGUGA. 14147. 1 indexed citations
8.
McVittie, Alistair, et al.. (2015). Operationalizing an ecosystem services-based approach using Bayesian Belief Networks: An application to riparian buffer strips. Ecological Economics. 110. 15–27. 62 indexed citations
9.
Amponsah, Nana Yaw, et al.. (2014). Greenhouse gas emissions from renewable energy sources: A review of lifecycle considerations. Renewable and Sustainable Energy Reviews. 39. 461–475. 393 indexed citations breakdown →
10.
Gimona, Alessandro, Laura Poggio, Inge Aalders, & Matt Aitkenhead. (2014). The effect of image compression on synthetic PROBA-V images. International Journal of Remote Sensing. 35(7). 2639–2653. 6 indexed citations
11.
Troldborg, Mads, Inge Aalders, W. Towers, et al.. (2013). Application of Bayesian Belief Networks to quantify and map areas at risk to soil threats: Using soil compaction as an example. Soil and Tillage Research. 132. 56–68. 54 indexed citations
12.
Aitkenhead, Matt & Inge Aalders. (2011). Automating land cover mapping of Scotland using expert system and knowledge integration methods. Remote Sensing of Environment. 115(5). 1285–1295. 39 indexed citations
13.
Aalders, Inge, Rupert Hough, & W. Towers. (2011). Risk of erosion in peat soils – an investigation using Bayesian belief networks. Soil Use and Management. 27(4). 538–549. 21 indexed citations
14.
Hough, Rupert, W. Towers, & Inge Aalders. (2010). The Risk of Peat Erosion from Climate Change: Land Management Combinations—An Assessment with Bayesian Belief Networks. Human and Ecological Risk Assessment An International Journal. 16(5). 962–976. 21 indexed citations
15.
Aitkenhead, Matt & Inge Aalders. (2008). Predicting land cover using GIS, Bayesian and evolutionary algorithm methods. Journal of Environmental Management. 90(1). 236–250. 54 indexed citations
16.
Aitkenhead, Matt & Inge Aalders. (2008). Classification of Landsat Thematic Mapper imagery for land cover using neural networks. International Journal of Remote Sensing. 29(7). 2075–2084. 19 indexed citations
17.
Aalders, Inge. (2008). Modeling Land-Use Decision Behavior with Bayesian Belief Networks. Ecology and Society. 13(1). 60 indexed citations
18.
Aitkenhead, Matt, et al.. (2007). Mapping and classification of Peatland on the Isle of Lewis using Landsat ETM+. Scottish Geographical Journal. 123(3). 173–192. 18 indexed citations
19.
Aalders, Inge & Matt Aitkenhead. (2006). Agricultural census data and land use modelling. Computers Environment and Urban Systems. 30(6). 799–814. 19 indexed citations
20.
Aalders, Inge, et al.. (1989). The contribution of ants to soil erosion: A reconnaissance survey. CATENA. 16(4-5). 449–459. 15 indexed citations

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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