Esa Uusipaikka

893 total citations
30 papers, 667 citations indexed

About

Esa Uusipaikka is a scholar working on Statistics and Probability, Molecular Biology and Physiology. According to data from OpenAlex, Esa Uusipaikka has authored 30 papers receiving a total of 667 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Statistics and Probability, 5 papers in Molecular Biology and 5 papers in Physiology. Recurrent topics in Esa Uusipaikka's work include Clinical Laboratory Practices and Quality Control (5 papers), Statistical Methods and Bayesian Inference (4 papers) and Genomics and Phylogenetic Studies (4 papers). Esa Uusipaikka is often cited by papers focused on Clinical Laboratory Practices and Quality Control (5 papers), Statistical Methods and Bayesian Inference (4 papers) and Genomics and Phylogenetic Studies (4 papers). Esa Uusipaikka collaborates with scholars based in Finland, France and Sweden. Esa Uusipaikka's co-authors include Veli Kairisto, Arja Virtanen, Olli Aaltonen, A. H. Lang, Osmo Eerola, Kai Ruohomäki, Tero Aittokallio, Miia Tanhuanpää, Virpi Ahola and Mauno Vihinen and has published in prestigious journals such as Journal of the American Statistical Association, Bioinformatics and Ecology.

In The Last Decade

Esa Uusipaikka

29 papers receiving 621 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Esa Uusipaikka Finland	14	137	126	86	84	80	30	667
Hugh Dudley United Kingdom	7	164 1.2×	55 0.4×	18 0.2×	24 0.3×	36 0.5×	19	588
Piero Quatto Italy	10	41 0.3×	102 0.8×	30 0.3×	21 0.3×	17 0.2×	44	507
Daniel Sabanés Bové Switzerland	13	167 1.2×	19 0.2×	35 0.4×	11 0.1×	40 0.5×	25	539
Y. Hochberg Israel	8	38 0.3×	40 0.3×	28 0.3×	17 0.2×	179 2.2×	19	507
Jane‐Ling Wang United States	15	284 2.1×	15 0.1×	47 0.5×	7 0.1×	42 0.5×	18	867
Lee D. Kaiser United States	9	83 0.6×	24 0.2×	49 0.6×	10 0.1×	21 0.3×	17	393
John H. Skillings United States	13	149 1.1×	16 0.1×	14 0.2×	13 0.2×	43 0.5×	29	683
Qing Lu United States	18	56 0.4×	43 0.3×	58 0.7×	14 0.2×	350 4.4×	107	1.1k
Joseph Putter Israel	8	131 1.0×	25 0.2×	27 0.3×	5 0.1×	49 0.6×	17	570
Malcolm Farrow United Kingdom	13	43 0.3×	25 0.2×	34 0.4×	4 0.0×	51 0.6×	43	523

Countries citing papers authored by Esa Uusipaikka

Since Specialization

Citations

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

Fields of papers citing papers by Esa Uusipaikka

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Esa Uusipaikka

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

Uusipaikka, Esa, et al.. (2011). Optimising an observational water monitoring network for Archipelago Sea, South West Finland. Computers & Geosciences. 37(7). 844–854. 4 indexed citations

Ahola, Virpi, Tero Aittokallio, Mauno Vihinen, & Esa Uusipaikka. (2008). Model-based prediction of sequence alignment quality. Bioinformatics. 24(19). 2165–2171. 14 indexed citations

Virtanen, A. & Esa Uusipaikka. (2007). Computation of profile likelihood‐based confidence intervals for reference limits with covariates. Statistics in Medicine. 27(7). 1121–1132. 4 indexed citations

Ahola, Virpi, Tero Aittokallio, Mauno Vihinen, & Esa Uusipaikka. (2006). A statistical score for assessing the quality of multiple sequence alignments. BMC Bioinformatics. 7(1). 484–484. 41 indexed citations

Aaltonen, Olli & Esa Uusipaikka. (2005). Speech is special: what's special about it?. 185–193.

Ahola, Virpi, Tero Aittokallio, Esa Uusipaikka, & Mauno Vihinen. (2004). Statistical Methods for Identifying Conserved Residues in Multiple Sequence Alignment. Statistical Applications in Genetics and Molecular Biology. 3(1). 1–28. 8 indexed citations

Virtanen, Arja, Veli Kairisto, & Esa Uusipaikka. (2004). Parametric methods for estimating covariate-dependent reference limits. Clinical Chemistry and Laboratory Medicine (CCLM). 42(7). 734–8. 8 indexed citations

Ahola, Virpi, Tero Aittokallio, Esa Uusipaikka, & Mauno Vihinen. (2003). Efficient estimation of emission probabilities in profile hidden Markov models. Bioinformatics. 19(18). 2359–2368. 8 indexed citations

Ruohomäki, Kai, et al.. (2001). High Larval Predation Rate in Non-Outbreaking Populations of a Geometrid Moth. Ecology. 82(1). 281–281. 8 indexed citations

10.

Tanhuanpää, Miia, Kai Ruohomäki, & Esa Uusipaikka. (2001). HIGH LARVAL PREDATION RATE IN NON-OUTBREAKING POPULATIONS OF A GEOMETRID MOTH. Ecology. 82(1). 281–289. 56 indexed citations

11.

Suominen, Erkki, A. J. Aho, Erik Vedel, et al.. (1996). Subchondral bone and cartilage repair with bioactive glasses, hydroxyapatite, and hydroxyapatite-glass composite. Journal of Biomedical Materials Research. 32(4). 543–551. 48 indexed citations

12.

Kouri, Timo, Veli Kairisto, A. Virtanen, et al.. (1995). Reliability and adequacy of discharge diagnosis databases in the production of reference values. Scandinavian Journal of Clinical and Laboratory Investigation. 55(sup222). 69–73. 5 indexed citations

13.

Kouri, Timo, et al.. (1995). Estimation of reference change limits using patient data. Scandinavian Journal of Clinical and Laboratory Investigation. 55(sup222). 37–41. 6 indexed citations

14.

Kouri, Timo, Veli Kairisto, A. Virtanen, et al.. (1994). Reference intervals developed from data for hospitalized patients: computerized method based on combination of laboratory and diagnostic data. Clinical Chemistry. 40(12). 2209–2215. 56 indexed citations

15.

Virtanen, A., Esa Uusipaikka, L M Voipio-Pulkki, et al.. (1993). Method for determining reference changes from patients' serial data: example of cardiac enzymes. Clinical Chemistry. 39(11). 2298–2304. 28 indexed citations

16.

Laine, Matti, Päivi Kujala, Jussi Niemi, & Esa Uusipaikka. (1992). On the Nature of Naming Difficulties in Aphasia. Cortex. 28(4). 537–554. 35 indexed citations

17.

Seppänen, Eila, et al.. (1990). On pairwise comparisons of the components of the mean vector in multivariate normal distribution. Communication in Statistics- Theory and Methods. 19(2). 395–411. 4 indexed citations

18.

Uusipaikka, Esa, et al.. (1986). Measurement of sequential changes in plasma volume immediately after aortocoronary bypass surgery. Critical Care Medicine. 14(5). 450–453. 6 indexed citations

19.

Uusipaikka, Esa. (1985). Exact Simultaneous Confidence Intervals for Multiple Comparisons among Three or Four Mean Values. Journal of the American Statistical Association. 80(389). 196–201. 22 indexed citations

20.

Uusipaikka, Esa, et al.. (1981). Kalman type filter for models with stochastic regressors and applications to econometric models. International Journal of Systems Science. 12(8). 949–961. 7 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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