Peter Malamas

573 total citations · 1 hit paper
6 papers, 380 citations indexed

About

Peter Malamas is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Peter Malamas has authored 6 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cardiology and Cardiovascular Medicine, 4 papers in Radiology, Nuclear Medicine and Imaging and 1 paper in Surgery. Recurrent topics in Peter Malamas's work include Cardiac electrophysiology and arrhythmias (4 papers), Cardiac Imaging and Diagnostics (2 papers) and Cardiovascular Function and Risk Factors (2 papers). Peter Malamas is often cited by papers focused on Cardiac electrophysiology and arrhythmias (4 papers), Cardiac Imaging and Diagnostics (2 papers) and Cardiovascular Function and Risk Factors (2 papers). Peter Malamas collaborates with scholars based in United States, China and Canada. Peter Malamas's co-authors include Natalia A. Trayanova, Hermenegild Arevalo, Fijoy Vadakkumpadan, Kathérine C. Wu, Eliseo Güallar, Farhad Pashakhanloo, Daniel A. Herzka, Kristina Li, Henry R. Halperin and Adityo Prakosa and has published in prestigious journals such as Nature Communications, Journal of the American College of Cardiology and IEEE Transactions on Medical Imaging.

In The Last Decade

Peter Malamas

5 papers receiving 377 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Arrhythmia risk stratification of patients after myocardial infarction using personalized heart models

2016 293 citations Hermenegild Arevalo, Fijoy Vadakkumpadan et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Peter Malamas United States	5	310	93	51	46	21	6	380
Elyar Ghafoori United States	9	413 1.3×	72 0.8×	37 0.7×	28 0.6×	13 0.6×	19	475
Plamen Nikolov United States	7	272 0.9×	46 0.5×	34 0.7×	27 0.6×	20 1.0×	11	332
Steffen Schuler Germany	12	368 1.2×	58 0.6×	83 1.6×	35 0.8×	15 0.7×	40	465
Carolyn J. Park United States	6	257 0.8×	51 0.5×	28 0.5×	30 0.7×	20 1.0×	23	331
Rheeda L. Ali United States	10	442 1.4×	76 0.8×	37 0.7×	30 0.7×	18 0.9×	21	494
Jatin Relan France	12	685 2.2×	184 2.0×	71 1.4×	44 1.0×	17 0.8×	29	775
D. U. J. Keller Germany	11	352 1.1×	53 0.6×	38 0.7×	64 1.4×	30 1.4×	22	408
Rubén Doste United Kingdom	9	265 0.9×	39 0.4×	66 1.3×	53 1.2×	31 1.5×	21	353
Fernando O. Campos Austria	15	518 1.7×	63 0.7×	62 1.2×	74 1.6×	69 3.3×	42	592
Farhad Pashakhanloo United States	16	630 2.0×	211 2.3×	73 1.4×	55 1.2×	55 2.6×	22	765

Countries citing papers authored by Peter Malamas

Since Specialization

Citations

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

Fields of papers citing papers by Peter Malamas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Malamas

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Malamas. A scholar is included among the top collaborators of Peter Malamas 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 Peter Malamas. Peter Malamas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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6 of 6 papers shown

1.

Malamas, Peter, et al.. (2023). FULMINANT MYOCARDITIS IN A MIDDLE-AGED WOMAN WITH ULCERATIVE COLITIS AND RECENT EXPOSURE TO COVID-19 REQUIRING ORTHOTOPIC HEART TRANSPLANT. Journal of the American College of Cardiology. 81(8). 3586–3586.

2.

Malamas, Peter, et al.. (2021). Abnormal P-wave terminal force in lead V1 is associated with low left atrial appendage ejection velocity. Journal of Electrocardiology. 67. 142–147. 5 indexed citations

3.

Malamas, Peter, et al.. (2021). The CADILLAC risk score accurately identifies patients at low risk for in-hospital mortality and adverse cardiovascular events following ST elevation myocardial infarction. BMC Cardiovascular Disorders. 21(1). 4 indexed citations

4.

Arevalo, Hermenegild, Fijoy Vadakkumpadan, Eliseo Güallar, et al.. (2016). Arrhythmia risk stratification of patients after myocardial infarction using personalized heart models. Nature Communications. 7(1). 11437–11437. 293 indexed citations breakdown →

5.

Ukwatta, Eranga, Hermenegild Arevalo, Kristina Li, et al.. (2015). Myocardial Infarct Segmentation From Magnetic Resonance Images for Personalized Modeling of Cardiac Electrophysiology. IEEE Transactions on Medical Imaging. 35(6). 1408–1419. 36 indexed citations

6.

Prakosa, Adityo, Peter Malamas, Farhad Pashakhanloo, et al.. (2014). Methodology for image-based reconstruction of ventricular geometry for patient-specific modeling of cardiac electrophysiology. Progress in Biophysics and Molecular Biology. 115(2-3). 226–234. 42 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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