163 citations as recorded by crossref.

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2. Spatio-temporal variation in stable isotope and elemental composition of key-species reflect environmental changes in the Baltic Sea C. Liénart et al. 10.1007/s10533-021-00865-w
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4. Suspended matter distribution in the south-eastern Baltic Sea from satellite and in situ data T. Bukanova et al. 10.1080/01431161.2018.1519290
5. Baltic Sea Hypoxia Takes Many Shapes and Sizes J. Carstensen & D. Conley 10.1002/lob.10350
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8. Satellite analysis to identify changes and drivers of CyanoHABs dynamics in Lake Taihu Y. Zhang et al. 10.2166/ws.2016.074
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14. Fourteen-Year Record (2000–2013) of the Spatial and Temporal Dynamics of Floating Algae Blooms in Lake Chaohu, Observed from Time Series of MODIS Images Y. Zhang et al. 10.3390/rs70810523
15. Baltic Sea transparency from ships and satellites: centennial trends M. Kahru et al. 10.3354/meps14151
16. An Ocean-Colour Time Series for Use in Climate Studies: The Experience of the Ocean-Colour Climate Change Initiative (OC-CCI) S. Sathyendranath et al. 10.3390/s19194285
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20. The increase of cyanobacteria and benthic diatoms over 43 years in upper San Francisco Estuary, California P. Lehman 10.1016/j.ecss.2022.107988
21. Cell-free extracellular enzymatic activity is linked to seasonal temperature changes: a case study in the Baltic Sea F. Baltar et al. 10.5194/bg-13-2815-2016
22. Inorganic phosphorus enrichments in Baltic Sea water have large effects on growth, carbon fixation, and N2 fixation by Nodularia spumigena M. Olofsson et al. 10.3354/ame01795
23. Patterns of phytoplankton composition in coastal lakes differed by connectivity with the Baltic Sea K. Obolewski et al. 10.1016/j.scitotenv.2018.03.112
24. Factors regulating the coastal nutrient filter in the Baltic Sea J. Carstensen et al. 10.1007/s13280-019-01282-y
25. Harmful Algal Blooms in Eutrophic Marine Environments: Causes, Monitoring, and Treatment J. Lan et al. 10.3390/w16172525
26. Phytoplankton pigments in the Baltic Sea – mathematical description of chlorophylls and carotenoids content in different seasons and regions J. Stoń-Egiert et al. 10.1016/j.oceano.2024.03.003
27. CyanoTRACKER: A cloud-based integrated multi-platform architecture for global observation of cyanobacterial harmful algal blooms D. Mishra et al. 10.1016/j.hal.2020.101828
28. Temporal changes in the remote sensing reflectance at Lake Vänern I. Cazzaniga et al. 10.1016/j.jglr.2023.01.006
29. Nitrogen fixation estimates for the Baltic Sea indicate high rates for the previously overlooked Bothnian Sea M. Olofsson et al. 10.1007/s13280-020-01331-x
30. Diet quality determines blue mussel physiological status: A long-term experimental multi-biomarker approach C. Liénart et al. 10.1016/j.jembe.2023.151894
31. Impact of Spectral Resolution on Quantifying Cyanobacteria in Lakes and Reservoirs: A Machine-Learning Assessment K. Zolfaghari et al. 10.1109/TGRS.2021.3114635
32. Nutrient fluxes from reduced Baltic Sea sediment: effects of oxygenation and macrobenthos N. Ekeroth et al. 10.3354/meps11592
33. Effect of crude extracts from Nodularia spumigena on round goby (Neogobius melanostomus) I. Złoch et al. 10.1016/j.marenvres.2018.05.019
34. A suggested climate service for cyanobacteria blooms in the Baltic Sea – Comparing three monitoring methods B. Karlson et al. 10.1016/j.hal.2022.102291
35. Challenges for mapping cyanotoxin patterns from remote sensing of cyanobacteria R. Stumpf et al. 10.1016/j.hal.2016.01.005
36. Stratification, nitrogen fixation, and cyanobacterial bloom stage regulate the planktonic food web structure N. Loick‐Wilde et al. 10.1111/gcb.14546
37. Spring blooms in the Baltic Sea have weakened but lengthened from 2000 to 2014 P. Groetsch et al. 10.5194/bg-13-4959-2016
38. A comparison of FerryBox data vs. monitoring data from research vessels for near surface waters of the Baltic Sea and the Kattegat B. Karlson et al. 10.1016/j.jmarsys.2016.05.002
39. Measurement of Cyanobacterial Bloom Magnitude using Satellite Remote Sensing S. Mishra et al. 10.1038/s41598-019-54453-y
40. Response of Microbial Communities to Changing Climate Conditions During Summer Cyanobacterial Blooms in the Baltic Sea C. Berner et al. 10.3389/fmicb.2018.01562
41. MERIS observations of phytoplankton phenology in the Baltic Sea D. Zhang et al. 10.1016/j.scitotenv.2018.06.019
42. Baltic Sea management: Successes and failures R. Elmgren et al. 10.1007/s13280-015-0653-9
43. Comparisons of Satellite and Modeled Surface Temperature and Chlorophyll Concentrations in the Baltic Sea with In Situ Data M. Stramska et al. 10.3390/rs13153049
44. Retracing cyanobacteria blooms in the Baltic Sea U. Löptien & H. Dietze 10.1038/s41598-022-14880-w
45. Cyanobacteria Index as a Tool for the Satellite Detection of Cyanobacteria Blooms in the Baltic Sea M. Konik et al. 10.3390/rs15061601
46. Medieval versus recent environmental conditions in the Baltic Proper, what was different a thousand years ago? E. Andrén et al. 10.1016/j.palaeo.2020.109878
47. No observed effect of ocean acidification on nitrogen biogeochemistry in a summer Baltic Sea plankton community A. Paul et al. 10.5194/bg-13-3901-2016
48. First Application of IFCB High-Frequency Imaging-in-Flow Cytometry to Investigate Bloom-Forming Filamentous Cyanobacteria in the Baltic Sea K. Kraft et al. 10.3389/fmars.2021.594144
49. Environmental window of cyanobacteria bloom occurrence O. Beltran-Perez & J. Waniek 10.1016/j.jmarsys.2021.103618
50. Water quality near Estonian harbours in the Baltic Sea as observed from entire MERIS full resolution archive L. Sipelgas et al. 10.1016/j.marpolbul.2017.09.058
51. Monitoring the Spatial and Temporal Variations in The Water Surface and Floating Algal Bloom Areas in Dongting Lake Using a Long-Term MODIS Image Time Series M. Cao et al. 10.3390/rs12213622
52. Meta‐omic analyses of Baltic Sea cyanobacteria: diversity, community structure and salt acclimation N. Celepli et al. 10.1111/1462-2920.13592
53. Spectral indexation of pixels of MODIS sea surface images for detecting inconstancy of phytopigment composition in water G. Karabashev 10.1016/j.oceano.2021.06.001
54. Spectral features of ocean colour radiometric products in the presence of cyanobacteria blooms in the Baltic Sea I. Cazzaniga et al. 10.1016/j.rse.2023.113464
55. Baltic Sea ecosystem-based management under climate change: Synthesis and future challenges T. Blenckner et al. 10.1007/s13280-015-0661-9
56. Detection of BMAA in the human central nervous system L. Berntzon et al. 10.1016/j.neuroscience.2015.02.032
57. A Meta-Analysis on Harmful Algal Bloom (HAB) Detection and Monitoring: A Remote Sensing Perspective R. Khan et al. 10.3390/rs13214347
58. Microbial metagenomics in the Baltic Sea: Recent advancements and prospects for environmental monitoring K. Ininbergs et al. 10.1007/s13280-015-0663-7
59. Operational algae bloom detection in the Baltic Sea using GIS and AVHRR data M. Kulawiak 10.5200/baltica.2016.29.02
60. EOLakeWatch; delivering a comprehensive suite of remote sensing algal bloom indices for enhanced monitoring of Canadian eutrophic lakes C. Binding et al. 10.1016/j.ecolind.2020.106999
61. Increased nutrient retention and cyanobacterial blooms in a future coastal zone I. Wåhlström et al. 10.1016/j.ecss.2024.108728
62. Copernicus Ocean State Report, issue 6 10.1080/1755876X.2022.2095169
63. Unscrambling Cyanobacteria Community Dynamics Related to Environmental Factors M. Bertos-Fortis et al. 10.3389/fmicb.2016.00625
64. Remote sensing of chlorophyll in the Baltic Sea at basin scale from 1997 to 2012 using merged multi-sensor data J. Pitarch et al. 10.5194/os-12-379-2016
65. Quantifying Karenia brevis bloom severity and respiratory irritation impact along the shoreline of Southwest Florida R. Stumpf et al. 10.1371/journal.pone.0260755
66. Cercosporin-bioinspired photoinactivation of harmful cyanobacteria under natural sunlight via bifunctional mechanisms M. Liu et al. 10.1016/j.watres.2022.118242
67. Low sediment redox promotes cyanobacteria blooms across a trophic range: implications for management L. Molot et al. 10.1080/10402381.2020.1854400
68. Phytoplankton Bloom Dynamics in the Baltic Sea Using a Consistently Reprocessed Time Series of Multi-Sensor Reflectance and Novel Chlorophyll-a Retrievals V. Brando et al. 10.3390/rs13163071
69. Bio-optical properties of the cyanobacterium Nodularia spumigena S. Garaba et al. 10.5194/essd-15-4163-2023
70. Changing seasonality of the Baltic Sea M. Kahru et al. 10.5194/bg-13-1009-2016
71. Human activities and climate variability drive fast‐paced change across the world's estuarine–coastal ecosystems J. Cloern et al. 10.1111/gcb.13059
72. Using Landsat to extend the historical record of lacustrine phytoplankton blooms: A Lake Erie case study J. Ho et al. 10.1016/j.rse.2016.12.013
73. The Significance of Internal Variability for Numerical Experimentation and Analysis H. von Storch & L. Lin 10.3390/atmos15111317
74. Salinity as a key control on the diazotrophic community composition in the southern Baltic Sea C. Reeder et al. 10.5194/os-18-401-2022
75. Warming Amplifies the Frequency of Harmful Algal Blooms with Eutrophication in Chinese Coastal Waters X. Xiao et al. 10.1021/acs.est.9b03726
76. Projected future climate change and Baltic Sea ecosystem management A. Andersson et al. 10.1007/s13280-015-0654-8
77. Temporal variability of particle flux and its components in the Gotland Basin, eastern Baltic Sea O. Beltran-Perez et al. 10.3389/feart.2023.1171917
78. Harmful algal blooms and their effects in coastal seas of Northern Europe B. Karlson et al. 10.1016/j.hal.2021.101989
79. Application of Satellite-Derived Summer Bloom Indicators for Estonian Coastal Waters of the Baltic Sea I. Rahn et al. 10.3390/app131810211
80. Single-cell imaging of phosphorus uptake shows that key harmful algae rely on different phosphorus sources for growth N. Schoffelen et al. 10.1038/s41598-018-35310-w
81. On the capacity of Sentinel-1 synthetic aperture radar in detecting floating macroalgae and other floating matters L. Qi et al. 10.1016/j.rse.2022.113188
82. Correlating seasonal changes of naturally produced brominated compounds to biomarkers in perch from the Baltic Sea J. Gustafsson et al. 10.1016/j.aquatox.2021.105984
83. The Influence of Waters of Lake Baikal on the Spatiotemporal Dynamics of Phytoplankton in the Irkutsk Reservoir A. Firsova et al. 10.3390/w16223284
84. Challenges for chlorophyll-a remote sensing in a highly variable turbidity estuary, an implementation with sentinel-2 F. Maciel et al. 10.1080/10106049.2022.2160017
85. Archives of cyanobacterial traits: insights from resurrected Nodularia spumigena from Baltic Sea sediments reveal a shift in temperature optima C. Medwed et al. 10.1093/ismeco/ycae140
86. High capacity for a dietary specialist consumer population to cope with increasing cyanobacterial blooms M. Ledesma et al. 10.1038/s41598-022-26611-2
87. Long-term acclimation to warming improves the adaptive ability of Microcystis aeruginosa to high temperature: Based on growth, photosynthetic activity, and microcystin production Z. Wang et al. 10.1016/j.envpol.2023.122727
88. Synergistic Use of Synthetic Aperture Radar and Optical Imagery to Monitor Surface Accumulation of Cyanobacteria in the Curonian Lagoon F. De Santi et al. 10.3390/jmse7120461
89. Spatial scales of optical variability in the coastal ocean: Implications for remote sensing and in situ sampling W. Moses et al. 10.1002/2016JC011767
90. Disentangling the impact of nutrient load and climate changes on Baltic Sea hypoxia and eutrophication since 1850 H. Meier et al. 10.1007/s00382-018-4296-y
91. Developing cyanobacterial bloom indicators from spatiotemporal differences in productivity and water quality across a lake-stream network J. Brown et al. 10.1016/j.ecolind.2024.112838
92. Interannual and seasonal variability of the air–sea CO2 exchange at Utö in the coastal region of the Baltic Sea M. Honkanen et al. 10.5194/bg-21-4341-2024
93. Biodiversity in Marine Ecosystems—European Developments toward Robust Assessments A. Heiskanen et al. 10.3389/fmars.2016.00184
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95. Phytoplankton community interactions and environmental sensitivity in coastal and offshore habitats J. Griffiths et al. 10.1111/oik.02405
96. Summer Distribution of Total Suspended Matter Across the Baltic Sea D. Kyryliuk & S. Kratzer 10.3389/fmars.2018.00504
97. Towards operational phytoplankton recognition with automated high-throughput imaging, near-real-time data processing, and convolutional neural networks K. Kraft et al. 10.3389/fmars.2022.867695
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99. Examining the impact of water quality and meteorological drivers on primary productivity in the Baltic Sea S. Budakoti 10.1016/j.marpolbul.2024.117266
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101. An evaluation of new particle formation events in Helsinki during a Baltic Sea cyanobacterial summer bloom R. Thakur et al. 10.5194/acp-22-6365-2022
102. The Importance of Mesodinium rubrum at Post-Spring Bloom Nutrient and Phytoplankton Dynamics in the Vertically Stratified Baltic Sea I. Lips & U. Lips 10.3389/fmars.2017.00407
103. Regional Algorithm of Quantitative Assessment of Cyanobacteria Blooms in the Eastern Part of the Gulf of Finland Using Satellite Ocean Color Data S. Vazyulya et al. 10.3390/jmse11091746
104. Niche separation of Baltic Sea cyanobacteria during bloom events by species interactions and autecological preferences F. Eigemann et al. 10.1016/j.hal.2018.01.001
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111. A retrospective study of fatty acid composition in Baltic herring (Clupea harengus membras) caught at three locations in the Baltic Sea (1973–2009) Y. Lind et al. 10.1093/icesjms/fsx127
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115. A MODIS-Based Novel Method to Distinguish Surface Cyanobacterial Scums and Aquatic Macrophytes in Lake Taihu Q. Liang et al. 10.3390/rs9020133
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124. Application of Web-GIS and Geovisual Analytics to Monitoring of Seabed Evolution in South Baltic Sea Coastal Areas M. Kulawiak & A. Chybicki 10.1080/01490419.2018.1469557
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130. Boosting the monitoring of phytoplankton in optically complex coastal waters by combining pigment-based chemotaxonomy and in situ radiometry M. Tamm et al. 10.1016/j.ecolind.2018.10.024
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134. Deoxygenation impacts on Baltic Sea cod: Dramatic declines in ecosystem services of an iconic keystone predator A. Orio et al. 10.1007/s13280-021-01572-4
135. Review: The projected hydrologic cycle under the scenario of 936 ppm CO2 in 2100 B. Hu et al. 10.1007/s10040-018-1844-9
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159. How Copepods Can Eat Toxins Without Getting Sick: Gut Bacteria Help Zooplankton to Feed in Cyanobacteria Blooms E. Gorokhova et al. 10.3389/fmicb.2020.589816
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