Anette Hulth

2.4k total citations · 1 hit paper
36 papers, 1.3k citations indexed

About

Anette Hulth is a scholar working on Epidemiology, Artificial Intelligence and Applied Microbiology and Biotechnology. According to data from OpenAlex, Anette Hulth has authored 36 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Epidemiology, 10 papers in Artificial Intelligence and 7 papers in Applied Microbiology and Biotechnology. Recurrent topics in Anette Hulth's work include Data-Driven Disease Surveillance (13 papers), Influenza Virus Research Studies (9 papers) and Advanced Text Analysis Techniques (8 papers). Anette Hulth is often cited by papers focused on Data-Driven Disease Surveillance (13 papers), Influenza Virus Research Studies (9 papers) and Advanced Text Analysis Techniques (8 papers). Anette Hulth collaborates with scholars based in Sweden, United States and Canada. Anette Hulth's co-authors include Gustaf Rydevik, Annika Linde, Beáta Megyesi, Pär Bjelkmar, Johan Lindh, Maria Grünewald, Stephan Stenmark, Micael Widerström, Anders Wallensten and Vanessa Quan and has published in prestigious journals such as PLoS ONE, BMJ and Journal of Antimicrobial Chemotherapy.

In The Last Decade

Anette Hulth

34 papers receiving 1.2k citations

Hit Papers

Improved automatic keyword extraction given more linguist... 2003 2026 2010 2018 2003 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anette Hulth Sweden 17 749 321 294 108 92 36 1.3k
Muhammad Asaduzzaman Bangladesh 25 242 0.3× 151 0.5× 558 1.9× 109 1.0× 167 1.8× 104 1.6k
Roman Yangarber Finland 20 954 1.3× 250 0.8× 342 1.2× 185 1.7× 38 0.4× 76 1.3k
Rajesh Bhatia India 21 92 0.1× 274 0.9× 324 1.1× 35 0.3× 336 3.7× 62 1.4k
Jeremy U. Espino United States 16 241 0.3× 725 2.3× 38 0.1× 250 2.3× 91 1.0× 30 1.0k
Willem G. van Panhuis United States 21 114 0.2× 279 0.9× 82 0.3× 65 0.6× 282 3.1× 35 1.3k
Dongyoung Koo South Korea 17 460 0.6× 86 0.3× 489 1.7× 16 0.1× 92 1.0× 39 886
Guisheng Wang China 15 599 0.8× 120 0.4× 30 0.1× 155 1.4× 299 3.3× 55 1.9k
Shunxiang Zhang China 14 351 0.5× 194 0.6× 115 0.4× 29 0.3× 79 0.9× 86 953
Nicholas Geard Australia 17 75 0.1× 172 0.5× 47 0.2× 153 1.4× 178 1.9× 87 884
Daniel Barth-Jones United States 13 127 0.2× 227 0.7× 28 0.1× 27 0.3× 342 3.7× 25 776

Countries citing papers authored by Anette Hulth

Since Specialization
Citations

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

Fields of papers citing papers by Anette Hulth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anette Hulth

This figure shows the co-authorship network connecting the top 25 collaborators of Anette Hulth. A scholar is included among the top collaborators of Anette Hulth 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 Anette Hulth. Anette Hulth 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.
Brankston, Gabrielle, Jean‐Paul Soucy, Anette Hulth, et al.. (2024). An Evaluation of the Impact of an OPEN Stewardship Generated Feedback Intervention on Antibiotic Prescribing among Primary Care Veterinarians in Canada and Israel. Animals. 14(4). 626–626. 1 indexed citations
2.
Low, Marcelo, Moriah Ellen, Anette Hulth, et al.. (2024). Evaluation of an automated feedback intervention to improve antibiotic prescribing among primary care physicians (OPEN Stewardship): a multinational controlled interrupted time-series study. Microbiology Spectrum. 12(4). e0001724–e0001724. 2 indexed citations
3.
Diwan, Vishal, Upasana Sharma, Parasuraman Ganeshkumar, et al.. (2023). Syndromic surveillance system during mass gathering of Panchkroshi Yatra festival, Ujjain, Madhya Pradesh, India. New Microbes and New Infections. 52. 101097–101097. 2 indexed citations
6.
Sun, Chengtao, Baoli Chen, Anette Hulth, et al.. (2019). Genomic analysis of Staphylococcus aureus along a pork production chain and in the community, Shandong Province, China. International Journal of Antimicrobial Agents. 54(1). 8–15. 26 indexed citations
7.
Bi, Zhenqiang, Chengtao Sun, Stefan Börjesson, et al.. (2018). Identical genotypes of community‐associated MRSA (ST59) and livestock‐associated MRSA (ST9) in humans and pigs in rural China. Zoonoses and Public Health. 65(3). 367–371. 17 indexed citations
8.
Vong, Sirenda, Anette Hulth, John Stelling, et al.. (2017). Using information technology to improve surveillance of antimicrobial resistance in South East Asia. BMJ. 358. j3781–j3781. 17 indexed citations
9.
Diwan, Vishal, et al.. (2015). Collecting syndromic surveillance data by mobile phone in rural India: implementation and feasibility. Global Health Action. 8(1). 26608–26608. 13 indexed citations
10.
Ma, Tracey, et al.. (2014). Syndromic surveillance of influenza activity in Sweden: an evaluation of three tools. Epidemiology and Infection. 143(11). 2390–2398. 18 indexed citations
11.
Edelstein, Michael, et al.. (2014). Detecting the Norovirus Season in Sweden Using Search Engine Data – Meeting the Needs of Hospital Infection Control Teams. PLoS ONE. 9(6). e100309–e100309. 14 indexed citations
12.
Quan, Vanessa, et al.. (2014). Timelier notification and action with mobile phones–towards malaria elimination in South Africa. Malaria Journal. 13(1). 151–151. 25 indexed citations
13.
Hulth, Anette. (2014). First European guidelines on syndromic surveillance in human and animal health published. Eurosurveillance. 19(41). 6 indexed citations
14.
Andersson, Tom, Pär Bjelkmar, Anette Hulth, et al.. (2013). Syndromic surveillance for local outbreak detection and awareness: evaluating outbreak signals of acute gastroenteritis in telephone triage, web-based queries and over-the-counter pharmacy sales. Epidemiology and Infection. 142(2). 303–313. 44 indexed citations
15.
Lindh, Johan, Måns Magnusson, Maria Grünewald, & Anette Hulth. (2012). Head Lice Surveillance on a Deregulated OTC-Sales Market: A Study Using Web Query Data. PLoS ONE. 7(11). e48666–e48666. 8 indexed citations
16.
Grünewald, Maria, et al.. (2010). CASE: a framework for computer supported outbreak detection. BMC Medical Informatics and Decision Making. 10(1). 14–14. 29 indexed citations
17.
Hulth, Anette, Gustaf Rydevik, & Annika Linde. (2009). Web Queries as a Source for Syndromic Surveillance. PLoS ONE. 4(2). e4378–e4378. 158 indexed citations
18.
Hulth, Anette. (2004). Enhancing linguistically oriented automatic keyword extraction. 17–20. 26 indexed citations
19.
Hulth, Anette. (2003). Improved automatic keyword extraction given more linguistic knowledge. 10. 216–223. 587 indexed citations breakdown →
20.
Kraaij, Wessel, Martijn Spitters, & Anette Hulth. (2002). Headline extraction based on a combination of uni- and multidocument summarization techniques. 8 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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