Daniela Gurlin

3.6k total citations · 2 hit papers
22 papers, 2.3k citations indexed

About

Daniela Gurlin is a scholar working on Industrial and Manufacturing Engineering, Oceanography and Water Science and Technology. According to data from OpenAlex, Daniela Gurlin has authored 22 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Industrial and Manufacturing Engineering, 17 papers in Oceanography and 14 papers in Water Science and Technology. Recurrent topics in Daniela Gurlin's work include Marine and coastal ecosystems (17 papers), Water Quality Monitoring and Analysis (17 papers) and Water Quality Monitoring Technologies (12 papers). Daniela Gurlin is often cited by papers focused on Marine and coastal ecosystems (17 papers), Water Quality Monitoring and Analysis (17 papers) and Water Quality Monitoring Technologies (12 papers). Daniela Gurlin collaborates with scholars based in United States, Estonia and Canada. Daniela Gurlin's co-authors include Wesley J. Moses, Anatoly A. Gitelson, Tadd M. Barrow, Donald C. Rundquist, Thomas Fisher, Giorgio Dall’Olmo, John C. Holz, Nima Pahlevan, Caren Binding and Brandon Smith and has published in prestigious journals such as Water Research, Remote Sensing of Environment and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Daniela Gurlin

21 papers receiving 2.2k citations

Hit Papers

align trajectories

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.

A simple semi-analytical model for remote estimation of chlorophyll-a in turbid waters: Validation

2008 528 citations Anatoly A. Gitelson, Giorgio Dall’Olmo et al. Remote Sensing of Environment profile →
Seamless retrievals of chlorophyll-a from Sentinel-2 (MSI) and Sentinel-3 (OLCI) in inland and coastal waters: A machine-learning approach

2020 379 citations Nima Pahlevan, Brandon Smith et al. Remote Sensing of Environment profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniela Gurlin United States	14	1.7k	1.2k	1.1k	451	399	22	2.3k
Deyong Sun China	26	1.8k 1.0×	854 0.7×	927 0.8×	493 1.1×	473 1.2×	114	2.3k
Caren Binding Canada	18	1.6k 0.9×	757 0.6×	817 0.7×	485 1.1×	379 0.9×	24	2.1k
Steef Peters Netherlands	20	1.6k 0.9×	783 0.6×	815 0.7×	546 1.2×	526 1.3×	57	2.2k
Chengfeng Le China	24	1.5k 0.9×	804 0.7×	700 0.6×	332 0.7×	345 0.9×	77	1.8k
Kari Kallio Finland	23	1.4k 0.8×	804 0.7×	815 0.7×	368 0.8×	512 1.3×	50	2.0k
Sampsa Koponen Finland	21	1.1k 0.6×	734 0.6×	853 0.7×	362 0.8×	284 0.7×	53	1.8k
Kun Xue China	26	1.3k 0.7×	652 0.5×	937 0.8×	422 0.9×	605 1.5×	65	2.1k
Wesley J. Moses United States	20	2.5k 1.5×	1.7k 1.4×	1.6k 1.4×	827 1.8×	546 1.4×	36	3.4k
Evangelos Spyrakos United Kingdom	21	1.2k 0.7×	542 0.4×	689 0.6×	428 0.9×	465 1.2×	62	1.9k
Krista Alikas Estonia	18	1.1k 0.6×	586 0.5×	694 0.6×	548 1.2×	273 0.7×	34	1.8k

Countries citing papers authored by Daniela Gurlin

Since Specialization

Citations

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

Fields of papers citing papers by Daniela Gurlin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela Gurlin

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

All Works

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20 of 20 papers shown

Gurlin, Daniela, Sundarabalan V. Balasubramanian, Claudia Giardino, et al.. (2025). On the generalization ability of probabilistic neural networks for hyperspectral remote sensing of absorption properties across optically complex waters. Remote Sensing of Environment. 328. 114820–114820. 2 indexed citations

Balasubramanian, Sundarabalan V., Daniela Gurlin, Caren Binding, et al.. (2025). Mixture density networks for re-constructing historical ocean-color products over inland and coastal waters: demonstration and validation. Frontiers in Remote Sensing. 6. 5 indexed citations

Jiang, Dalin, Bunkei Matsushita, Nima Pahlevan, et al.. (2023). Estimating the concentration of total suspended solids in inland and coastal waters from Sentinel-2 MSI: A semi-analytical approach. ISPRS Journal of Photogrammetry and Remote Sensing. 204. 362–377. 20 indexed citations

Schaeffer, Blake A., Wilson B. Salls, Megan M. Coffer, et al.. (2022). Merging of the Case 2 Regional Coast Colour and Maximum-Peak Height chlorophyll-a algorithms: validation and demonstration of satellite-derived retrievals across US lakes. Environmental Monitoring and Assessment. 194(3). 179–179. 8 indexed citations

Odermatt, Daniel, Stefan Simis, Daniela Gurlin, et al.. (2022). Characterising retrieval uncertainty of chlorophyll-a algorithms in oligotrophic and mesotrophic lakes and reservoirs. ISPRS Journal of Photogrammetry and Remote Sensing. 190. 279–300. 25 indexed citations

Pahlevan, Nima, Caren Binding, Daniela Gurlin, et al.. (2021). Impact of Spectral Resolution on Quantifying Cyanobacteria in Lakes and Reservoirs: A Machine-Learning Assessment. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–20. 17 indexed citations

Jiang, Dalin, Bunkei Matsushita, Nima Pahlevan, et al.. (2021). Remotely estimating total suspended solids concentration in clear to extremely turbid waters using a novel semi-analytical method. Remote Sensing of Environment. 258. 112386–112386. 83 indexed citations

Balasubramanian, Sundarabalan V., Nima Pahlevan, Brandon Smith, et al.. (2020). Robust algorithm for estimating total suspended solids (TSS) in inland and nearshore coastal waters. Remote Sensing of Environment. 246. 111768–111768. 180 indexed citations

Pahlevan, Nima, Brandon Smith, John F. Schalles, et al.. (2020). Seamless retrievals of chlorophyll-a from Sentinel-2 (MSI) and Sentinel-3 (OLCI) in inland and coastal waters: A machine-learning approach. Remote Sensing of Environment. 240. 111604–111604. 379 indexed citations breakdown →

10.

Pahlevan, Nima, Brandon Smith, Caren Binding, et al.. (2020). Hyperspectral retrievals of phytoplankton absorption and chlorophyll-a in inland and nearshore coastal waters. Remote Sensing of Environment. 253. 112200–112200. 81 indexed citations

11.

Moses, Wesley J., Anatoly A. Gitelson, Richard Perk, et al.. (2012). Estimation of chlorophyll-a concentration in turbid productive\nwaters using airborne hyperspectral data. Lincoln (University of Nebraska). 147 indexed citations

12.

Gurlin, Daniela. (2012). Near infrared-red models for the remote estimation of chlorophyll- a concentration in optically complex turbid productive waters: From in situ measurements to aerial imagery. Insecta mundi. 2 indexed citations

13.

Gitelson, A. A., et al.. (2011). Close range, aircraft and satellite monitoring trophic status of inland, estuarine and coastal waters. AGUFM. 2011. 1 indexed citations

14.

Moses, Wesley J., Anatoly A. Gitelson, Richard Perk, et al.. (2011). Estimation of chlorophyll-a concentration in turbid productive waters using airborne hyperspectral data. Water Research. 46(4). 993–1004. 3 indexed citations

15.

Gurlin, Daniela, Anatoly A. Gitelson, & Wesley J. Moses. (2011). Remote estimation of chl-a concentration in turbid productive waters — Return to a simple two-band NIR-red model?. Remote Sensing of Environment. 115(12). 3479–3490. 234 indexed citations

16.

Gilerson, Alexander, Anatoly A. Gitelson, Jing Zhou, et al.. (2010). Algorithms for remote estimation of chlorophyll-a in coastal and inland waters using red and near infrared bands. Optics Express. 18(23). 24109–24109. 311 indexed citations

17.

Gitelson, A. A., Daniela Gurlin, Wesley J. Moses, & Donald C. Rundquist. (2009). Estimating chlorophyll-a concentration in inland, estuarine and coastal waters: from close range to satellite observations. AGU Fall Meeting Abstracts. 2009. 1 indexed citations

18.

Gitelson, Anatoly A., Daniela Gurlin, Wesley J. Moses, & Tadd M. Barrow. (2009). A bio-optical algorithm for the remote estimation of the chlorophyll- a concentration in case 2 waters. Environmental Research Letters. 4(4). 45003–45003. 186 indexed citations

19.

Gitelson, Anatoly A., Giorgio Dall’Olmo, Wesley J. Moses, et al.. (2008). A semi-analytical model for remote estimation of chlorophyll-a in turbid productive waters: Calibration and Validation. AGU Fall Meeting Abstracts. 2008. 1 indexed citations

20.

Gitelson, Anatoly A., Giorgio Dall’Olmo, Wesley J. Moses, et al.. (2008). A simple semi-analytical model for remote estimation of chlorophyll-a in turbid waters: Validation. Remote Sensing of Environment. 112(9). 3582–3593. 528 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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