Nina Håkansson

1.2k total citations
22 papers, 681 citations indexed

About

Nina Håkansson is a scholar working on Global and Planetary Change, Atmospheric Science and Small Animals. According to data from OpenAlex, Nina Håkansson has authored 22 papers receiving a total of 681 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Global and Planetary Change, 9 papers in Atmospheric Science and 4 papers in Small Animals. Recurrent topics in Nina Håkansson's work include Atmospheric aerosols and clouds (9 papers), Atmospheric and Environmental Gas Dynamics (7 papers) and Atmospheric chemistry and aerosols (5 papers). Nina Håkansson is often cited by papers focused on Atmospheric aerosols and clouds (9 papers), Atmospheric and Environmental Gas Dynamics (7 papers) and Atmospheric chemistry and aerosols (5 papers). Nina Håkansson collaborates with scholars based in Sweden, Germany and Finland. Nina Håkansson's co-authors include Maria Nöremark, Susanna Sternberg Lewerin, Karl‐Göran Karlsson, Uno Wennergren, Annie Jonsson, Tom Lindström, Ann Lindberg, Joseph Sedlar, Anke Thoss and Nikos Benas and has published in prestigious journals such as PLoS ONE, Ecology and Proceedings of the Royal Society B Biological Sciences.

In The Last Decade

Nina Håkansson

21 papers receiving 658 citations

Peers

Countries citing papers authored by Nina Håkansson

Since Specialization

Citations

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

Fields of papers citing papers by Nina Håkansson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nina Håkansson

This figure shows the co-authorship network connecting the top 25 collaborators of Nina Håkansson. A scholar is included among the top collaborators of Nina Håkansson 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 Nina Håkansson. Nina Håkansson 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

#	Work	Indexed citations
1	Extension of AVHRR-based climate data records: exploring ways to simulate AVHRR radiances from Suomi NPP VIIRS data 2025 ·Atmospheric measurement techniques ·Karl‐Göran Karlsson, Nina Håkansson, Salomon Eliasson, E. Wolters, (unknown)	0
2	CLARA-A3: The third edition of the AVHRR-based CM SAF climate data record on clouds, radiation and surface albedo covering the period 1979 to 2023 2023 ·Earth system science data ·Karl‐Göran Karlsson, Martin Stengel, Jan Fokke Meirink, Aku Riihelä, Jörg Trentmann, (unknown), Diana Stein, Abhay Devasthale, Salomon Eliasson, Erik Johansson, Nina Håkansson, (unknown), Nikos Benas, Nicolas Clerbaux, Nathalie Selbach, Marc Schröder, Rainer Hollmann	23
3	CLAAS-3: the third edition of the CM SAF cloud data record based on SEVIRI observations 2023 ·Earth system science data ·Nikos Benas, (unknown), Martin Stengel, (unknown), Karl‐Göran Karlsson, Nina Håkansson, Erik Johansson, Salomon Eliasson, Marc Schröder, Rainer Hollmann, Jan Fokke Meirink	9
4	Probabilistic Cloud Masking for the Generation of CM SAF Cloud Climate Data Records from AVHRR and SEVIRI Sensors 2020 ·Remote Sensing ·Karl‐Göran Karlsson, Erik Johansson, Nina Håkansson, Joseph Sedlar, Salomon Eliasson	12
5	A neural network approach to estimating a posteriori distributions of Bayesian retrieval problems 2018 ·Atmospheric measurement techniques ·(unknown), Patrick Eriksson, David Duncan, Bengt Rydberg, Nina Håkansson, Anke Thoss	25
6	Neural network cloud top pressure and height for MODIS 2018 ·Atmospheric measurement techniques ·Nina Håkansson, (unknown), Anke Thoss, (unknown), (unknown)	44
7	Characterization of AVHRR global cloud detection sensitivity based on CALIPSO-CALIOP cloud optical thickness information: demonstration of results based on the CM SAF CLARA-A2 climate data record 2018 ·Atmospheric measurement techniques ·Karl‐Göran Karlsson, Nina Håkansson	37
8	CLARA-A2: the second edition of the CM SAF cloud and radiation data record from 34 years of global AVHRR data 2017 ·Atmospheric chemistry and physics ·Karl‐Göran Karlsson, Kati Anttila, Jörg Trentmann, Martin Stengel, Jan Fokke Meirink, Abhay Devasthale, Timo Hanschmann, Steffen Kothe, Emmihenna Jääskeläinen, Joseph Sedlar, Nikos Benas, Gerd‐Jan van Zadelhoff, Cornelia Schlundt, Diana Stein, Stephan Finkensieper, Nina Håkansson, Rainer Hollmann	193
9	Detailed characterisation of AVHRR global cloud detection performance of the CM SAF CLARA-A2 climate data record based on CALIPSO-CALIOP cloud information 2017 ·Karl‐Göran Karlsson, Nina Håkansson	1
10	Comparison of MODIS and VIIRS cloud properties with ARM ground-basedobservations over Finland 2016 ·Atmospheric measurement techniques ·Moa K. Sporre, Ewan O’Connor, Nina Håkansson, Anke Thoss, Erik Swietlicki, Tuukka Petäjä	6
11	Improvement of animal welfare by strategic analysis and logistic optimization of animal slaughter transportation 2016 ·Animal Welfare ·Nina Håkansson, Patrik Flisberg, Bo Algers, Anders Jönsson, Mikael Rönnqvist, Uno Wennergren	7
12	SpecNet: A Spatial Network Algorithm that Generates a Wide Range of Specific Structures 2012 ·PLoS ONE ·(unknown), Nina Håkansson, Uno Wennergren, Annie Jonsson	8
13	A spectral and Bayesian approach for analysis of fluctuations and synchrony in ecological datasets 2012 ·Methods in Ecology and Evolution ·Tom Lindström, Scott A. Sisson, Nina Håkansson, Karl‐Olof Bergman, Uno Wennergren	10
14	Application of network analysis parameters in risk-based surveillance – Examples based on cattle trade data and bovine infections in Sweden 2012 ·Preventive Veterinary Medicine ·Jenny Frössling, Anna Ohlson, Camilla Björkman, Nina Håkansson, Maria Nöremark	42
15	Network analysis and optimization of animal transports 2012 ·KTH Publication Database DiVA (KTH Royal Institute of Technology) ·Nina Håkansson	3
16	Network analysis of cattle and pig movements in Sweden: Measures relevant for disease control and risk based surveillance 2011 ·Preventive Veterinary Medicine ·Maria Nöremark, Nina Håkansson, Susanna Sternberg Lewerin, Ann Lindberg, Annie Jonsson	140
17	The shape of the spatial kernel and its implications for biological invasions in patchy environments 2010 ·Proceedings of the Royal Society B Biological Sciences ·Tom Lindström, Nina Håkansson, Uno Wennergren	39
18	Spatial and temporal investigations of reported movements, births and deaths of cattle and pigs in Sweden 2009 ·Acta veterinaria Scandinavica ·Maria Nöremark, Nina Håkansson, Tom Lindström, Uno Wennergren, Susanna Sternberg Lewerin	35
19	SPLITTING THE TAIL OF THE DISPLACEMENT KERNEL SHOWS THE UNIMPORTANCE OF KURTOSIS 2008 ·Ecology ·Tom Lindström, Nina Håkansson, Lars Westerberg, Uno Wennergren	21
20	Indicators of rural inequality 1981 ·World Development ·Alfonso Peter Castro, Nina Håkansson, David Brokensha	15

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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