P.M. Rautaharju

1.2k total citations
31 papers, 976 citations indexed

About

P.M. Rautaharju is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, P.M. Rautaharju has authored 31 papers receiving a total of 976 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cardiology and Cardiovascular Medicine, 2 papers in Pulmonary and Respiratory Medicine and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in P.M. Rautaharju's work include ECG Monitoring and Analysis (10 papers), Cardiac electrophysiology and arrhythmias (9 papers) and Heart Rate Variability and Autonomic Control (5 papers). P.M. Rautaharju is often cited by papers focused on ECG Monitoring and Analysis (10 papers), Cardiac electrophysiology and arrhythmias (9 papers) and Heart Rate Variability and Autonomic Control (5 papers). P.M. Rautaharju collaborates with scholars based in Canada, United States and United Kingdom. P.M. Rautaharju's co-authors include Richard S. Crow, Thomas R. Price, Maurice B. Mittelmark, John B. Robbins, Bruce M. Psaty, Diane E. Bild, G L Burke, Harry P. Calhoun, H. K. Wolf and Peter J. Hannan and has published in prestigious journals such as American Journal of Epidemiology, Journal of Applied Physiology and The American Journal of Cardiology.

In The Last Decade

P.M. Rautaharju

28 papers receiving 941 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P.M. Rautaharju Canada 13 690 118 94 92 91 31 976
E. Dewar Australia 9 745 1.1× 78 0.7× 100 1.1× 94 1.0× 90 1.0× 13 1.1k
Dennis J. Morgan United States 8 843 1.2× 92 0.8× 115 1.2× 90 1.0× 100 1.1× 11 1.0k
Joseph A. Diamond United States 15 573 0.8× 138 1.2× 57 0.6× 124 1.3× 55 0.6× 50 773
Cristiana Valerio Italy 18 933 1.4× 180 1.5× 123 1.3× 169 1.8× 58 0.6× 32 1.1k
Laure Joly France 15 679 1.0× 103 0.9× 140 1.5× 52 0.6× 73 0.8× 33 988
H Milon France 17 994 1.4× 125 1.1× 174 1.9× 65 0.7× 69 0.8× 62 1.2k
Pierre Block Belgium 15 724 1.0× 194 1.6× 45 0.5× 77 0.8× 82 0.9× 53 1.1k
J Stokes United States 9 543 0.8× 84 0.7× 43 0.5× 139 1.5× 70 0.8× 13 1.0k
Mehmet Yokuşoğlu Türkiye 20 568 0.8× 52 0.4× 183 1.9× 91 1.0× 106 1.2× 77 1.1k
Xiushui Ren United States 13 668 1.0× 109 0.9× 195 2.1× 61 0.7× 50 0.5× 28 983

Countries citing papers authored by P.M. Rautaharju

Since Specialization
Citations

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

Fields of papers citing papers by P.M. Rautaharju

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P.M. Rautaharju. 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 P.M. Rautaharju. The network helps show where P.M. Rautaharju may publish in the future.

Co-authorship network of co-authors of P.M. Rautaharju

This figure shows the co-authorship network connecting the top 25 collaborators of P.M. Rautaharju. A scholar is included among the top collaborators of P.M. Rautaharju 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 P.M. Rautaharju. P.M. Rautaharju 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
2.
Keys, A, et al.. (2014). Ainsworth, B. E. 2000. Compendium of physical activities: An update of activity codes and MET intensities. Medicine and Science in Sports and Exercise 32:S498-S516.. 29 indexed citations
3.
Bodén, Robert, L. Lindström, P.M. Rautaharju, & Johan Sundström. (2011). FC19-02 - Electrocardiographic signs of autonomic imbalance in first-episode schizophrenia spectrum disorders— relations to first treatment discontinuation and five-year remission status. European Psychiatry. 26(S2). 1916–1916. 1 indexed citations
4.
Dubin, Anne M., P.M. Rautaharju, Jerome Liebman, et al.. (2005). Normal ECG limits for Asian infants and children. 455–458. 7 indexed citations
5.
Robbins, Jeremy, et al.. (2004). The association between the length of the qt interval and mortality in the cardiovascular health study. ACC Current Journal Review. 13(4). 13–13. 1 indexed citations
6.
Zhou, Shibing, P.M. Rautaharju, & Harry P. Calhoun. (2002). Selection of a reduced set of parameters for classification of ventricular conduction defects by cluster analysis. 29. 879–882. 14 indexed citations
8.
9.
Kors, Jan A., Richard S. Crow, Peter J. Hannan, P.M. Rautaharju, & Aaron R. Folsom. (2000). Comparison of Computer-assigned Minnesota Codes with the Visual Standard Method for New Coronary Heart Disease Events. American Journal of Epidemiology. 151(8). 790–797. 48 indexed citations
10.
Norman, James E., James J. Bailey, Amit Berson, et al.. (1998). NHLBI workshop on the utilization of ECG databases: Preservation and use of existing ECG databases and development of future resources. Journal of Electrocardiology. 31(2). 83–89. 14 indexed citations
11.
Psaty, Bruce M., Diane E. Bild, G L Burke, et al.. (1995). Methods of assessing prevalent cardiovascular disease in the Cardiovascular Health Study. Annals of Epidemiology. 5(4). 270–277. 414 indexed citations
12.
Zhou, Shibing, P.M. Rautaharju, Ronald J. Prineas, et al.. (1994). Improved ECG models for estimation of left ventricular hypertrophy progression and regression incidence by redefinition of the criteria for a significant change in left ventricular hypertrophy status. Journal of Electrocardiology. 26. 108–113. 13 indexed citations
13.
Prineas, Ronald J., Richard H. Grimm, Gregory Grandits, et al.. (1994). The effect of dietary sodium and body weight on echocardiographic measures of left ventricular mass among treated hypertensive men and women: Four-year change in the TOMHS study. 23. 1 indexed citations
14.
Kornreich, Fred, et al.. (1989). Diagnostic body surface potential map patterns in left ventricular hypertrophy during PQRST. The American Journal of Cardiology. 63(9). 610–617. 13 indexed citations
15.
Rautaharju, P.M.. (1988). A hundred years of progress in electrocardiography. 1: Early contributions from Waller to Wilson.. PubMed. 3(8). 362–74. 8 indexed citations
16.
Bolli, Peter, et al.. (1988). 140 The resting electrocardiogram predicts sudden death in hypertensive patients. Journal of Hypertension. 6(4). S752–S752.
17.
Rautaharju, P.M. & James D. Neaton. (1987). Electrocardiographic abnormalities and coronary heart disease mortality among hypertensive men in the Multiple Risk Factor Intervention Trial.. PubMed. 10(6). 606–15. 15 indexed citations
18.
Hagan, Arthur D., Colin M. Bloor, Larry R. Jackson, et al.. (1978). Task force 1A: Development of a data base for electrocardiographic use. The American Journal of Cardiology. 41(1). 145–146. 5 indexed citations
19.
Välimäki, I., et al.. (1970). 25. COMPUTER ANALYSIS OF LONG‐TERM RECORDS OF HEART RATE AND RESPIRATION RATE IN NEWBORN INFANTS. Acta Paediatrica. 59(S206). 144–146. 2 indexed citations
20.
Karvonen, M J, et al.. (1957). Heart size of champion skiers.. PubMed. 46(4). 169–78. 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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