Olle Pahlm

7.1k total citations · 2 hit papers
180 papers, 4.9k citations indexed

About

Olle Pahlm is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Olle Pahlm has authored 180 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 156 papers in Cardiology and Cardiovascular Medicine, 68 papers in Radiology, Nuclear Medicine and Imaging and 17 papers in Biomedical Engineering. Recurrent topics in Olle Pahlm's work include Cardiac electrophysiology and arrhythmias (116 papers), ECG Monitoring and Analysis (99 papers) and Cardiac Imaging and Diagnostics (67 papers). Olle Pahlm is often cited by papers focused on Cardiac electrophysiology and arrhythmias (116 papers), ECG Monitoring and Analysis (99 papers) and Cardiac Imaging and Diagnostics (67 papers). Olle Pahlm collaborates with scholars based in Sweden, United States and Finland. Olle Pahlm's co-authors include Galen S. Wagner, Leif Sörnmo, Peter W. Macfarlane, Leonard S. Gettes, Paul Kligfield, Rory Childers, David M. Mirvis, Lars Edenbrandt, E. William Hancock and Pentti M. Rautaharju and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and Radiology.

In The Last Decade

Olle Pahlm

175 papers receiving 4.7k citations

Hit Papers

Recommendations for the Standardization and Interpretatio... 2007 2026 2013 2019 2007 2007 200 400 600

Peers

Olle Pahlm
Gerard van Herpen Netherlands
Rory Childers United States
David M. Mirvis United States
Xiao Hu United States
E. William Hancock United States
Sanjiv M. Narayan United States
Leonard S. Gettes United States
Gerard van Herpen Netherlands
Olle Pahlm
Citations per year, relative to Olle Pahlm Olle Pahlm (= 1×) peers Gerard van Herpen

Countries citing papers authored by Olle Pahlm

Since Specialization
Citations

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

Fields of papers citing papers by Olle Pahlm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Olle Pahlm

This figure shows the co-authorship network connecting the top 25 collaborators of Olle Pahlm. A scholar is included among the top collaborators of Olle Pahlm 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 Olle Pahlm. Olle Pahlm 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.
Wang, John, Olle Pahlm, James W. Warren, John L. Sapp, & B. Milan Horáček. (2018). Criteria for ECG detection of acute myocardial ischemia: Sensitivity versus specificity. Journal of Electrocardiology. 51(6). S12–S17. 20 indexed citations
2.
Wagner, Galen S., et al.. (2014). Olson method for locating and calculating the extent of transmural ischemic areas at risk of infarction. Journal of Electrocardiology. 47(4). 430–437. 4 indexed citations
3.
Hakacova, Nina, et al.. (2012). Computer-based rhythm diagnosis and its possible influence on nonexpert electrocardiogram readers. Journal of Electrocardiology. 45(1). 18–22. 14 indexed citations
4.
Romero, Daniel, Michael Ringborn, Pablo Laguna, Olle Pahlm, & Esther Pueyo. (2010). A vectorial approach for evaluation of depolarization changes during acute myocardial ischemia. Computing in Cardiology. 265–268. 3 indexed citations
5.
Kligfield, Paul, Leonard S. Gettes, James J. Bailey, et al.. (2007). Recommendations for the Standardization and Interpretation of the Electrocardiogram. Journal of the American College of Cardiology. 49(10). 1109–1127. 602 indexed citations breakdown →
6.
Martin, Thomas N., Bjoern A. Groenning, Heather Murray, et al.. (2007). ST-Segment Deviation Analysis of the Admission 12-Lead Electrocardiogram as an Aid to Early Diagnosis of Acute Myocardial Infarction With a Cardiac Magnetic Resonance Imaging Gold Standard. Journal of the American College of Cardiology. 50(11). 1021–1028. 75 indexed citations
7.
Trägårdh, Elin, Håkan Arheden, Jonas Pettersson, Galen S. Wagner, & Olle Pahlm. (2006). Determination of the ability of high‐frequency ECG to estimate left ventricular mass in humans, determined by magnetic resonance imaging. Clinical Physiology and Functional Imaging. 26(3). 157–162. 3 indexed citations
8.
Persson, Eva, Jonas Pettersson, Michael Ringborn, et al.. (2005). Comparison of ST-Segment Deviation to Scintigraphically Quantified Myocardial Ischemia During Acute Coronary Occlusion Induced by Percutaneous Transluminal Coronary Angioplasty. The American Journal of Cardiology. 97(3). 295–300. 19 indexed citations
9.
Pahlm, Olle & Leif Sörnmo. (2002). Specialmetoder inom elektrokardiografi. Lund University Publications (Lund University).
10.
Pettersson, Jonas, Olle Pahlm, Lars Edenbrandt, et al.. (2000). Changes in high-frequency QRS components are more sensitive than ST-segment deviation for detecting acute coronary artery occlusion. Journal of the American College of Cardiology. 36(6). 1827–1834. 100 indexed citations
11.
Edenbrandt, Lars, et al.. (1997). Increased prevalence of large bites in 12-lead vectorcardiograms of diabetic patients. Journal of Electrocardiology. 30(2). 91–95. 5 indexed citations
12.
Lindqvist, Ari, et al.. (1997). Artery blood pressure oscillation after active standing up: an indicator of sympathetic function in diabetic patients. Clinical Physiology. 17(2). 159–169. 5 indexed citations
13.
Ohlsson, Mattias, et al.. (1996). Agreement between Artificial Neural Networks and Human Expert for the Electrocardiographic Diagnosis of Healed Myocardial Infarction. 3 indexed citations
15.
Ohlsson, Mattias, et al.. (1995). Artificial neural networks for recognition of electrocardiographic lead reversal. The American Journal of Cardiology. 75(14). 929–933. 49 indexed citations
16.
Pahlm, Olle, et al.. (1995). Reconstruction of the standard 12-lead ECG from recordings using nonstandard activity-compatible proximal limb lead positions. Journal of Electrocardiology. 28(1). 33–38. 11 indexed citations
17.
Krucoff, Mitchell W., Wesley K. Haisty, James E. Pope, et al.. (1994). Simultaneous ST-segment measurements using standard and monitoring-compatible torso limb lead placements at rest and during coronary occlusion. The American Journal of Cardiology. 74(10). 997–1001. 24 indexed citations
18.
Pahlm, Olle, Wesley K. Haisty, Lars Edenbrandt, et al.. (1992). Evaluation of changes in standard electrocardiographic QRS waveforms recorded from activity-compatible proximal limb lead positions. The American Journal of Cardiology. 69(3). 253–257. 49 indexed citations
19.
Pahlm, Olle, et al.. (1990). Decision rules for the ECG diagnosis of inferior myocardial infarction. Computers and Biomedical Research. 23(4). 332–345. 10 indexed citations
20.
Sörnmo, Leif, Olle Pahlm, Mats‐Erik Nygårds, & Per Ola Börjesson. (1980). Mathematical approach to QRS detection. Lund University Publications (Lund University). 4 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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