Tuuli Soomets

502 total citations
11 papers, 409 citations indexed

About

Tuuli Soomets is a scholar working on Oceanography, Industrial and Manufacturing Engineering and Environmental Chemistry. According to data from OpenAlex, Tuuli Soomets has authored 11 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Oceanography, 7 papers in Industrial and Manufacturing Engineering and 5 papers in Environmental Chemistry. Recurrent topics in Tuuli Soomets's work include Marine and coastal ecosystems (11 papers), Water Quality Monitoring and Analysis (7 papers) and Aquatic Ecosystems and Phytoplankton Dynamics (5 papers). Tuuli Soomets is often cited by papers focused on Marine and coastal ecosystems (11 papers), Water Quality Monitoring and Analysis (7 papers) and Aquatic Ecosystems and Phytoplankton Dynamics (5 papers). Tuuli Soomets collaborates with scholars based in Estonia, Switzerland and Sweden. Tuuli Soomets's co-authors include Tiit Kutser, Birgot Paavel, Kaire Toming, Martin Ligi, Gema Casal, Charles Verpoorter, Dainis Jakovels, Anu Reinart, Jenni Attila and Kari Kallio and has published in prestigious journals such as Scientific Reports, Sensors and Remote Sensing.

In The Last Decade

Tuuli Soomets

11 papers receiving 401 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tuuli Soomets Estonia	9	282	205	191	85	78	11	409
Yifan Xu China	8	292 1.0×	220 1.1×	182 1.0×	87 1.0×	78 1.0×	22	430
Martin Ligi Estonia	8	276 1.0×	163 0.8×	163 0.9×	62 0.7×	72 0.9×	14	392
Shuai Zeng China	13	264 0.9×	186 0.9×	131 0.7×	116 1.4×	108 1.4×	24	418
Patricia Urrego Spain	12	241 0.9×	181 0.9×	134 0.7×	79 0.9×	89 1.1×	17	393
Claire Neil United Kingdom	7	307 1.1×	160 0.8×	166 0.9×	71 0.8×	126 1.6×	11	454
V. Povazhnyy Russia	5	366 1.3×	229 1.1×	270 1.4×	73 0.9×	94 1.2×	10	465
Heng Lv China	11	323 1.1×	192 0.9×	189 1.0×	171 2.0×	99 1.3×	29	446
Jenni Attila Finland	10	303 1.1×	145 0.7×	152 0.8×	61 0.7×	92 1.2×	15	411
Benjamin P. Page United States	7	183 0.6×	141 0.7×	92 0.5×	86 1.0×	90 1.2×	9	345

Countries citing papers authored by Tuuli Soomets

Since Specialization

Citations

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

Fields of papers citing papers by Tuuli Soomets

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tuuli Soomets

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

All Works

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11 of 11 papers shown

Toming, Kaire, Hui Liu, Tuuli Soomets, et al.. (2024). Estimation of the Biogeochemical and Physical Properties of Lakes Based on Remote Sensing and Artificial Intelligence Applications. Remote Sensing. 16(3). 464–464. 15 indexed citations

Kutser, Tiit & Tuuli Soomets. (2024). Satellite data is revealing long time changes in the world largest lakes. Scientific Reports. 14(1). 14391–14391. 4 indexed citations

Soomets, Tuuli, et al.. (2022). Deriving Nutrient Concentrations from Sentinel-3 OLCI Data in North-Eastern Baltic Sea. Remote Sensing. 14(6). 1487–1487. 11 indexed citations

Soomets, Tuuli, Kaire Toming, Birgot Paavel, & Tiit Kutser. (2022). Evaluation of remote sensing and modeled chlorophyll-a products of the Baltic Sea. Journal of Applied Remote Sensing. 16(4). 7 indexed citations

Soomets, Tuuli, et al.. (2020). Validation and Comparison of Water Quality Products in Baltic Lakes Using Sentinel-2 MSI and Sentinel-3 OLCI Data. Sensors. 20(3). 742–742. 106 indexed citations

Soomets, Tuuli, et al.. (2020). Spatio-Temporal Variability of Phytoplankton Primary Production in Baltic Lakes Using Sentinel-3 OLCI Data. Remote Sensing. 12(15). 2415–2415. 8 indexed citations

Soomets, Tuuli, Tiit Kutser, Alfred Wüest, & Damien Bouffard. (2019). Spatial and temporal changes of primary production in a deep peri-alpine lake. Inland Waters. 9(1). 49–60. 15 indexed citations

Soomets, Tuuli, et al.. (2019). Comparison of Lake Optical Water Types Derived from Sentinel-2 and Sentinel-3. Remote Sensing. 11(23). 2883–2883. 24 indexed citations

Kutser, Tiit, et al.. (2018). Assessing the Baltic Sea Water Quality with Sentinel-3 OLCI Imagery. 1–6. 8 indexed citations

10.

Ligi, Martin, Tiit Kutser, Kari Kallio, et al.. (2016). Testing the performance of empirical remote sensing algorithms in the Baltic Sea waters with modelled and in situ reflectance data. Oceanologia. 59(1). 57–68. 50 indexed citations

11.

Kutser, Tiit, Birgot Paavel, Charles Verpoorter, et al.. (2016). Remote Sensing of Black Lakes and Using 810 nm Reflectance Peak for Retrieving Water Quality Parameters of Optically Complex Waters. Remote Sensing. 8(6). 497–497. 161 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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