Jari Forsström

1.3k total citations
57 papers, 906 citations indexed

About

Jari Forsström is a scholar working on Health Information Management, Pediatrics, Perinatology and Child Health and Artificial Intelligence. According to data from OpenAlex, Jari Forsström has authored 57 papers receiving a total of 906 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Health Information Management, 8 papers in Pediatrics, Perinatology and Child Health and 8 papers in Artificial Intelligence. Recurrent topics in Jari Forsström's work include Electronic Health Records Systems (11 papers), Biomedical Text Mining and Ontologies (6 papers) and Neural Networks and Applications (4 papers). Jari Forsström is often cited by papers focused on Electronic Health Records Systems (11 papers), Biomedical Text Mining and Ontologies (6 papers) and Neural Networks and Applications (4 papers). Jari Forsström collaborates with scholars based in Finland, United Kingdom and Germany. Jari Forsström's co-authors include Kevin J. Dalton, Kerttu Irjala, Michael Rigby, Richard Roberts, Jeremy C Wyatt, A Kasanen, T.J. Nevalainen, Päivi Rautava, A. H. Lang and E Iisalo and has published in prestigious journals such as Clinical Chemistry, Fuzzy Sets and Systems and Critical Care.

In The Last Decade

Jari Forsström

56 papers receiving 840 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jari Forsström Finland 18 139 111 106 100 99 57 906
Monica M. Horvath United States 14 99 0.7× 78 0.7× 151 1.4× 89 0.9× 28 0.3× 26 731
Ioana Danciu United States 12 132 0.9× 105 0.9× 136 1.3× 50 0.5× 98 1.0× 24 998
Mark McGilchrist United Kingdom 15 178 1.3× 152 1.4× 90 0.8× 159 1.6× 30 0.3× 26 1.4k
Chris Kelman Australia 15 62 0.4× 73 0.7× 93 0.9× 175 1.8× 43 0.4× 23 961
Emmanuel Chazard France 19 176 1.3× 117 1.1× 172 1.6× 78 0.8× 50 0.5× 127 1.1k
Gregory W. Daniel United States 20 161 1.2× 213 1.9× 78 0.7× 90 0.9× 27 0.3× 46 1.5k
Preciosa M. Coloma Netherlands 25 196 1.4× 163 1.5× 109 1.0× 79 0.8× 38 0.4× 46 1.9k
Richard N. Winickoff United States 13 82 0.6× 67 0.6× 135 1.3× 314 3.1× 37 0.4× 22 1000
Eric Widen United States 14 96 0.7× 128 1.2× 229 2.2× 117 1.2× 142 1.4× 19 925
Dong Wook Kim South Korea 23 155 1.1× 123 1.1× 42 0.4× 73 0.7× 29 0.3× 92 1.5k

Countries citing papers authored by Jari Forsström

Since Specialization
Citations

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

Fields of papers citing papers by Jari Forsström

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jari Forsström

This figure shows the co-authorship network connecting the top 25 collaborators of Jari Forsström. A scholar is included among the top collaborators of Jari Forsström 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 Jari Forsström. Jari Forsström 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.
Lundgrén‐Laine, Heljä, et al.. (2011). Managing daily intensive care activities: An observational study concerning ad hoc decision making of charge nurses and intensivists. Critical Care. 15(4). R188–R188. 27 indexed citations
2.
Rautava, Päivi, et al.. (2011). Electronic Prescriptions Are Slowly Spreading in the European Union. Telemedicine Journal and e-Health. 17(3). 217–222. 29 indexed citations
3.
Rigby, Michael, Jari Forsström, Richard Roberts, & Jeremy C Wyatt. (2001). Verifying quality and safety in health informatics services. BMJ. 323(7312). 552–556. 75 indexed citations
4.
Kajander, Sami, et al.. (2000). IMAGING END-STAGE KIDNEY DISEASE IN ADULTS. Low-field MR imaging with magnetization transfer vs. ultrasonography. Acta Radiologica. 41(4). 357–360. 2 indexed citations
5.
Forsström, Jari & Michael Rigby. (1999). Considerations on the quality of medical software and information services. International Journal of Medical Informatics. 56(1-3). 169–176. 10 indexed citations
6.
Irjala, Kerttu, et al.. (1997). Computerized monitoring of potentially interfering medication in thyroid function diagnostics. International journal of clinical monitoring and computing. 14(4). 255–259. 9 indexed citations
7.
Forsström, Jari, et al.. (1997). Visualization of clinical data with neural networks, Case study: polycystic ovary syndrome. International Journal of Medical Informatics. 44(2). 145–155. 6 indexed citations
8.
Grönroos, P, et al.. (1995). Using computerized individual medication data to detect drug effects on clinical laboratory tests. Scandinavian Journal of Clinical and Laboratory Investigation. 55(sup222). 31–36. 17 indexed citations
9.
Forsström, Jari, et al.. (1995). Using data preprocessing and single layer perceptron to analyze laboratory data. Scandinavian Journal of Clinical and Laboratory Investigation. 55(sup222). 75–81. 11 indexed citations
10.
Forsström, Jari & Kevin J. Dalton. (1995). Artificial Neural Networks for Decision Support in Clinical Medicine. Annals of Medicine. 27(5). 509–517. 88 indexed citations
11.
Eklund, Patrik & Jari Forsström. (1995). Computational intelligence for laboratory information systems. Scandinavian Journal of Clinical and Laboratory Investigation. 55(sup222). 21–30. 6 indexed citations
12.
Grönroos, P, Kerttu Irjala, & Jari Forsström. (1995). Coding drug effects on laboratory tests for health care information systems.. PubMed. 449–53. 7 indexed citations
13.
Tähtelä, Riitta, Pertti Koskinen, Pirjo Nuutila, et al.. (1994). Ability of two new thyrotropin (TSH) assays to separate hyperthyroid patients from euthyroid patients with low TSH. Clinical Chemistry. 40(1). 101–105. 27 indexed citations
14.
Eklund, Patrik, et al.. (1994). Rule generation as an alternative to knowledge acquisition: A systems architecture for medical informatics. Fuzzy Sets and Systems. 66(2). 195–205. 12 indexed citations
15.
Forsström, Jari, Pirjo Nuutila, & Kerttu Irjala. (1991). Using the ID3 Algorithm to find Discrepant Diagnoses from laboratory Databases of Thyroid Patients. Medical Decision Making. 11(3). 171–175. 12 indexed citations
16.
Forsström, Jari, et al.. (1986). Effects of haemodialysis on heart rate variability in chronic renal failure. Scandinavian Journal of Clinical and Laboratory Investigation. 46(7). 665–670. 28 indexed citations
17.
Hopsu‐Havu, V. K., et al.. (1985). Serum cysteine proteinase inhibitors with special reference to kidney failure. Scandinavian Journal of Clinical and Laboratory Investigation. 45(1). 11–16. 15 indexed citations
18.
Mattson, K., H. Riska, Jari Forsström, & B Kock. (1974). Acute renal failure following rifampicin administration.. PubMed. 55(5). 291–7. 7 indexed citations
19.
Markkanen, T., et al.. (1972). Pentose Phosphate Pathway of Erythrocytes in Uremia. Acta Haematologica. 48(5). 269–277. 5 indexed citations
20.
Kasanen, A & Jari Forsström. (1966). Social stress and living habits in the etiology of peptic ulcer.. PubMed. 55(1). 13–22. 10 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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