Till Neeff

669 total citations
27 papers, 495 citations indexed

About

Till Neeff is a scholar working on Global and Planetary Change, Environmental Engineering and Nature and Landscape Conservation. According to data from OpenAlex, Till Neeff has authored 27 papers receiving a total of 495 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Global and Planetary Change, 12 papers in Environmental Engineering and 6 papers in Nature and Landscape Conservation. Recurrent topics in Till Neeff's work include Forest Management and Policy (11 papers), Conservation, Biodiversity, and Resource Management (10 papers) and Remote Sensing and LiDAR Applications (7 papers). Till Neeff is often cited by papers focused on Forest Management and Policy (11 papers), Conservation, Biodiversity, and Resource Management (10 papers) and Remote Sensing and LiDAR Applications (7 papers). Till Neeff collaborates with scholars based in Brazil, Germany and United States. Till Neeff's co-authors include Corina da Costa Freitas, Joáo Roberto dos Santos, Luciano Vieira Dutra, L. S. de Araujo, Francisco Ascui, João Roberto dos Santos, Marc Hanewinkel, Edgar Kublin, Johannes Breidenbach and Richard Lucas and has published in prestigious journals such as Remote Sensing of Environment, Journal of Environmental Management and Climatic Change.

In The Last Decade

Till Neeff

27 papers receiving 455 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Till Neeff Brazil 12 251 164 164 127 82 27 495
Edwin Willem Hermanus Keizer Brazil 5 248 1.0× 181 1.1× 99 0.6× 79 0.6× 40 0.5× 7 396
Belachew Gizachew Norway 11 176 0.7× 133 0.8× 126 0.8× 90 0.7× 23 0.3× 17 346
Danae Maniatis Italy 11 307 1.2× 110 0.7× 170 1.0× 266 2.1× 23 0.3× 13 550
Jorge Luís Gavina Pereira Brazil 8 300 1.2× 280 1.7× 115 0.7× 129 1.0× 27 0.3× 30 539
Igor da Silva Narvaes Brazil 10 208 0.8× 130 0.8× 87 0.5× 174 1.4× 26 0.3× 32 499
Astor Toraño Caicoya Germany 12 203 0.8× 108 0.7× 138 0.8× 40 0.3× 15 0.2× 34 398
Joana Melo United Kingdom 8 114 0.5× 76 0.5× 125 0.8× 98 0.8× 24 0.3× 13 246
Toshiaki Owari Japan 13 244 1.0× 208 1.3× 376 2.3× 239 1.9× 14 0.2× 52 626
P.E. van Laake Netherlands 8 471 1.9× 434 2.6× 269 1.6× 205 1.6× 17 0.2× 14 765
Wangfei Zhang China 14 95 0.4× 78 0.5× 258 1.6× 155 1.2× 23 0.3× 54 403

Countries citing papers authored by Till Neeff

Since Specialization
Citations

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

Fields of papers citing papers by Till Neeff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Till Neeff

This figure shows the co-authorship network connecting the top 25 collaborators of Till Neeff. A scholar is included among the top collaborators of Till Neeff 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 Till Neeff. Till Neeff 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.
Neeff, Till, Javier G. P. Gamarra, Andreas Vollrath, et al.. (2024). Slowly getting there: a review of country experience on estimating emissions and removals from forest degradation. Carbon Balance and Management. 19(1). 38–38. 3 indexed citations
2.
3.
Neeff, Till, E. Ashley Steel, Christoph Kleinn, et al.. (2020). How forest data catalysed change in four successful case studies. Journal of Environmental Management. 271. 110736–110736. 2 indexed citations
4.
Neeff, Till, et al.. (2019). Developing forest monitoring capacity – Progress achieved and gaps remaining after ten years. Forest Policy and Economics. 101. 88–95. 11 indexed citations
5.
Neeff, Till. (2013). How many will attend Paris? UNFCCC COP participation patterns 1995–2015. Environmental Science & Policy. 31. 157–159. 14 indexed citations
6.
Neeff, Till, et al.. (2013). Finding a path for REDD+ between ODA and the CDM. Climate Policy. 14(2). 149–166. 7 indexed citations
7.
Neeff, Till, Chris Davey, Joanna Durbin, et al.. (2009). The forest carbon offsetting survey 2009.. 20 indexed citations
8.
Neeff, Till & Francisco Ascui. (2009). Lessons from carbon markets for designing an effective REDD architecture. Climate Policy. 9(3). 306–315. 35 indexed citations
9.
Neeff, Till. (2008). Deforestation, biomass and carbon finance in Amazonia. Climate Policy. 8(1). 7–22. 2 indexed citations
10.
Neeff, Till & Sabine Henders. (2007). Guidebook to markets and commercialization of forestry CDM projects. 14 indexed citations
11.
Neeff, Till, Richard Lucas, Joáo Roberto dos Santos, Eduardo S. Brondízio, & Corina da Costa Freitas. (2006). Area and Age of Secondary Forests in Brazilian Amazonia 1978–2002: An Empirical Estimate. Ecosystems. 9(4). 609–623. 75 indexed citations
12.
Santos, Joaquim dos, Till Neeff, Luciano Vieira Dutra, et al.. (2006). SAR Interferometric Approaches for the Analysis of Structural Forest Parameters: State of the Art and Perspectives for Brazilian Studies. 57. 2201–2204. 2 indexed citations
13.
Dutra, Luciano Vieira, et al.. (2006). Digital Height Modeling (DHM) of Tropical Forests using Multi-frequency InSAR Methodology. 2190–2192. 1 indexed citations
14.
Neeff, Till, Luciano Vieira Dutra, João Roberto dos Santos, Corina da Costa Freitas, & L. S. de Araujo. (2005). Tropical Forest Measurement by Interferometric Height Modeling and P-Band Radar Backscatter. Forest Science. 51(6). 585–594. 85 indexed citations
15.
Neeff, Till. (2005). Spatial modeling of primary and secondary forest growth in Amazonia. Forest Ecology and Management. 219(2-3). 149–168. 8 indexed citations
16.
Neeff, Till, Luciano Vieira Dutra, Joáo Roberto dos Santos, Corina da Costa Freitas, & L. S. de Araujo. (2005). Power spectrum analysis of SAR data for spatial forest characterization in Amazonia. International Journal of Remote Sensing. 26(13). 2851–2864. 17 indexed citations
17.
Neeff, Till, Gregory S. Biging, Luciano Vieira Dutra, Corina da Costa Freitas, & Joáo Roberto dos Santos. (2005). Markov point processes for modeling of spatial forest patterns in Amazonia derived from interferometric height. Remote Sensing of Environment. 97(4). 484–494. 9 indexed citations
18.
Neeff, Till, Paulo Maurı́cio Lima de Alencastro Graça, Luciano Vieira Dutra, & Corina da Costa Freitas. (2005). Carbon budget estimation in Central Amazonia: Successional forest modeling from remote sensing data. Remote Sensing of Environment. 94(4). 508–522. 27 indexed citations
19.
Neeff, Till, Luciano Vieira Dutra, Joáo Roberto dos Santos, Corina da Costa Freitas, & L. S. de Araujo. (2004). Tropical forest biomass measurement by backscatter and DEM information as derived from airborne SAR. 4. 2571–2573. 3 indexed citations
20.
Neeff, Till, Luciano Vieira Dutra, João Roberto dos Santos, Corina da Costa Freitas, & L. S. de Araujo. (2003). Tropical forest stand table modelling from SAR data. Forest Ecology and Management. 186(1-3). 159–170. 8 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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