Tiit Nilson

4.1k total citations · 1 hit paper
55 papers, 3.0k citations indexed

About

Tiit Nilson is a scholar working on Ecology, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, Tiit Nilson has authored 55 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Ecology, 34 papers in Environmental Engineering and 29 papers in Global and Planetary Change. Recurrent topics in Tiit Nilson's work include Remote Sensing in Agriculture (45 papers), Remote Sensing and LiDAR Applications (33 papers) and Land Use and Ecosystem Services (15 papers). Tiit Nilson is often cited by papers focused on Remote Sensing in Agriculture (45 papers), Remote Sensing and LiDAR Applications (33 papers) and Land Use and Ecosystem Services (15 papers). Tiit Nilson collaborates with scholars based in Estonia, Finland and United States. Tiit Nilson's co-authors include Andres Kuusk, Urmas Peterson, Mait Lang, Miina Rautiainen, Hideki Kobayashi, Oliver Sonnentag, Youngryel Ryu, Dennis Baldocchi, Pauline Stenberg and Helena Eriksson and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Remote Sensing of Environment and Journal of Applied Ecology.

In The Last Decade

Tiit Nilson

54 papers receiving 2.7k citations

Hit Papers

A theoretical analysis of the frequency of gaps in plant ... 1971 2026 1989 2007 1971 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A theoretical analysis of the frequency of gaps in plant stands
    1971 741 citations Tiit Nilson Agricultural Meteorology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tiit Nilson Estonia 26 2.4k 1.7k 1.7k 891 597 55 3.0k
Jan Písek Estonia 28 1.9k 0.8× 1.6k 0.9× 1.2k 0.7× 791 0.9× 345 0.6× 62 2.5k
Sylvain G. Leblanc Canada 26 2.9k 1.2× 1.9k 1.1× 2.0k 1.2× 976 1.1× 472 0.8× 65 3.6k
Matti Mõttus Finland 30 2.0k 0.8× 1.4k 0.8× 1.1k 0.7× 809 0.9× 327 0.5× 88 2.6k
Wenze Yang United States 22 1.9k 0.8× 1.9k 1.1× 1.1k 0.7× 567 0.6× 299 0.5× 36 3.0k
J. M. Welles United States 13 1.4k 0.6× 1.4k 0.8× 916 0.5× 1.1k 1.2× 566 0.9× 17 2.6k
Kamel Soudani France 25 2.3k 0.9× 1.8k 1.0× 952 0.6× 833 0.9× 471 0.8× 50 3.0k
Juhan Ross Estonia 13 1.5k 0.6× 1.4k 0.8× 896 0.5× 890 1.0× 298 0.5× 19 2.3k
Lars L. Pierce United States 17 1.3k 0.5× 1.4k 0.8× 834 0.5× 491 0.6× 390 0.7× 24 2.2k
Xihan Mu China 28 2.0k 0.8× 1.3k 0.8× 1.6k 1.0× 561 0.6× 267 0.4× 111 3.0k
Douglas K. Bolton Canada 20 1.4k 0.6× 923 0.5× 935 0.6× 308 0.3× 412 0.7× 30 2.0k

Countries citing papers authored by Tiit Nilson

Since Specialization
Citations

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

Fields of papers citing papers by Tiit Nilson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tiit Nilson

This figure shows the co-authorship network connecting the top 25 collaborators of Tiit Nilson. A scholar is included among the top collaborators of Tiit Nilson 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 Tiit Nilson. Tiit Nilson 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.
Lang, Mait, et al.. (2017). Assessment of MODIS NPP algorithm-based estimates using soil fertility and forest inventory data in mixed hemiboreal forests. Forestry Studies / Metsanduslikud Uurimused. 66(1). 49–64. 2 indexed citations
2.
Mõttus, Matti, et al.. (2015). Diffuse sky radiation influences the relationship between canopy PRI and shadow fraction. ISPRS Journal of Photogrammetry and Remote Sensing. 105. 54–60. 39 indexed citations
3.
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Ryu, Youngryel, Tiit Nilson, Hideki Kobayashi, et al.. (2010). On the correct estimation of effective leaf area index: Does it reveal information on clumping effects?. Agricultural and Forest Meteorology. 150(3). 463–472. 192 indexed citations
6.
Baldocchi, Dennis, et al.. (2009). On the correct estimation of effective leaf area index: does it reveal information on clumping effects?. AGUFM. 2009. 1 indexed citations
7.
Mänd, Pille, Lea Hallik, Josep Peñuelas, et al.. (2009). Responses of the reflectance indices PRI and NDVI to experimental warming and drought in European shrublands along a north–south climatic gradient. Remote Sensing of Environment. 114(3). 626–636. 56 indexed citations
8.
Rautiainen, Miina, Mait Lang, Matti Mõttus, et al.. (2008). Multi-angular reflectance properties of a hemiboreal forest: An analysis using CHRIS PROBA data. Remote Sensing of Environment. 112(5). 2627–2642. 52 indexed citations
9.
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Nilson, Tiit, et al.. (2007). Calibration of time series of satellite images to study the seasonal course of forest reflectance. Proceedings of the Estonian Academy of Sciences Biology Ecology. 56(1). 5–18. 3 indexed citations
11.
Kuusk, Andres, Mait Lang, & Tiit Nilson. (2005). Forest Test Site at Jarvselja, Estonia. ESA Special Publication. 593. 18. 5 indexed citations
12.
Rautiainen, Miina, Pauline Stenberg, & Tiit Nilson. (2005). Estimating canopy cover in Scots pine stands. Silva Fennica. 39(1). 61 indexed citations
13.
Nilson, Tiit & Andres Kuusk. (2004). Improved algorithm for estimating canopy indices from gap fraction data in forest canopies. Agricultural and Forest Meteorology. 124(3-4). 157–169. 48 indexed citations
14.
Kuusk, Andres, Mait Lang, & Tiit Nilson. (2004). Simulation of the reflectance of ground vegetation in sub-boreal forests. Agricultural and Forest Meteorology. 126(1-2). 33–46. 37 indexed citations
15.
Nilson, Tiit, et al.. (2003). Forest Reflectance Modeling: Theoretical Aspects and Applications. AMBIO. 32(8). 535–541. 28 indexed citations
16.
Nilson, Tiit, et al.. (2000). Recent advances in geometrical optical modelling and its applications. Remote Sensing Reviews. 18(2-4). 227–262. 80 indexed citations
17.
Nilson, Tiit. (1999). Inversion of gap frequency data in forest stands. Agricultural and Forest Meteorology. 98-99. 437–448. 162 indexed citations
18.
Desjardins, R. L., Roger M. Gifford, Tiit Nilson, & E.A.N. Greenwood. (1992). Advances in Bioclimatology 1. 24 indexed citations
19.
Nilson, Tiit & Urmas Peterson. (1991). A forest canopy reflectance model and a test case. Remote Sensing of Environment. 37(2). 131–142. 77 indexed citations
20.
Nilson, Tiit. (1971). A theoretical analysis of the frequency of gaps in plant stands. Agricultural Meteorology. 8. 25–38. 741 indexed citations breakdown →

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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