Laura Bear

1.1k total citations
55 papers, 604 citations indexed

About

Laura Bear is a scholar working on Cardiology and Cardiovascular Medicine, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Laura Bear has authored 55 papers receiving a total of 604 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Cardiology and Cardiovascular Medicine, 10 papers in Electrical and Electronic Engineering and 7 papers in Biomedical Engineering. Recurrent topics in Laura Bear's work include Cardiac electrophysiology and arrhythmias (44 papers), ECG Monitoring and Analysis (27 papers) and Cardiac Arrhythmias and Treatments (27 papers). Laura Bear is often cited by papers focused on Cardiac electrophysiology and arrhythmias (44 papers), ECG Monitoring and Analysis (27 papers) and Cardiac Arrhythmias and Treatments (27 papers). Laura Bear collaborates with scholars based in France, Netherlands and United States. Laura Bear's co-authors include Rémi Dubois, Matthijs Cluitmans, Olivier Bernus, Rob MacLeod, Ruben Coronel, Leo K. Cheng, Gregory B. Sands, Nigel Lever, Bruce H. Smaill and Ian J. LeGrice and has published in prestigious journals such as The Journal of Physiology, Scientific Reports and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Laura Bear

53 papers receiving 598 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Laura Bear France 14 507 143 92 66 50 55 604
Matthijs Cluitmans Netherlands 12 467 0.9× 142 1.0× 70 0.8× 52 0.8× 40 0.8× 48 565
Jess Tate United States 13 357 0.7× 109 0.8× 51 0.6× 46 0.7× 38 0.8× 51 480
María S. Guillem Spain 21 1.1k 2.1× 183 1.3× 95 1.0× 87 1.3× 97 1.9× 125 1.2k
Burak Erem United States 10 197 0.4× 144 1.0× 70 0.8× 56 0.8× 95 1.9× 31 428
Brian Zenger United States 12 331 0.7× 96 0.7× 28 0.3× 23 0.3× 52 1.0× 61 395
Charulatha Ramanathan United States 9 982 1.9× 226 1.6× 109 1.2× 70 1.1× 37 0.7× 9 1.1k
Brett Burton United States 9 219 0.4× 80 0.6× 42 0.5× 26 0.4× 36 0.7× 19 280
Walther H. W. Schulze Germany 10 273 0.5× 72 0.5× 32 0.3× 93 1.4× 43 0.9× 36 404
Raja N. Ghanem United States 13 1.1k 2.1× 219 1.5× 94 1.0× 72 1.1× 34 0.7× 22 1.2k
Subham Ghosh United States 16 572 1.1× 74 0.5× 47 0.5× 40 0.6× 11 0.2× 26 665

Countries citing papers authored by Laura Bear

Since Specialization
Citations

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

Fields of papers citing papers by Laura Bear

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura Bear

This figure shows the co-authorship network connecting the top 25 collaborators of Laura Bear. A scholar is included among the top collaborators of Laura Bear 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 Laura Bear. Laura Bear 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.
Doğrusöz, Yeşim Serinağaoğlu, Laura Bear, Jake Bergquist, et al.. (2024). Evaluation of five methods for the interpolation of bad leads in the solution of the inverse electrocardiography problem. Physiological Measurement. 45(9). 95012–95012. 1 indexed citations
2.
Vaillant, Fanny, Laura Bear, Guido Caluori, et al.. (2024). Influence of pericardium on ventricular mechanical interdependence in an isolated biventricular working pig heart model. The Journal of Physiology. 603(2). 285–300. 1 indexed citations
3.
Paskaranandavadivel, Niranchan, et al.. (2023). A novel framework for the removal of pacing artifacts from bio-electrical recordings. Computers in Biology and Medicine. 155. 106673–106673. 5 indexed citations
4.
Sunderland, Nicholas, Judit Chamorro-Servent, Laura Bear, et al.. (2022). Intracardiac Inverse Potential Mapping Using the Method of Fundamental Solutions. Frontiers in Physiology. 13. 873049–873049. 3 indexed citations
5.
Bear, Laura, Yeşim Serinağaoğlu Doğrusöz, Wilson Good, et al.. (2021). The effect of interpolating low amplitude leads on the inverse reconstruction of cardiac electrical activity. Computers in Biology and Medicine. 136. 104666–104666. 7 indexed citations
6.
Jurák, Pavel, Laura Bear, Uyên Châu Nguyên, et al.. (2021). 3-Dimensional ventricular electrical activation pattern assessed from a novel high-frequency electrocardiographic imaging technique: principles and clinical importance. Scientific Reports. 11(1). 7 indexed citations
7.
Feng, Yingjing, Laura Bear, Josselin Duchâteau, et al.. (2021). A novel method to correct repolarization time estimation from unipolar electrograms distorted by standard filtering. Medical Image Analysis. 72. 102075–102075. 3 indexed citations
8.
Bear, Laura, Yeşim Serinağaoğlu Doğrusöz, Wilson Good, et al.. (2020). The Impact of Torso Signal Processing on Noninvasive Electrocardiographic Imaging Reconstructions. IEEE Transactions on Biomedical Engineering. 68(2). 436–447. 17 indexed citations
9.
Meo, Marianna, Pietro Bonizzi, Laura Bear, et al.. (2020). Relation of surface T-wave to vulnerability to ventricular fibrillation in explanted structurally normal hearts. Computing in cardiology. 1 indexed citations
10.
11.
Bergquist, Jake, et al.. (2020). Novel Experimental Preparation to Assess Electrocardiographic Imaging Reconstruction Techniques. Computing in cardiology. 47. 7 indexed citations
12.
Bear, Laura, et al.. (2019). Analysis of Signal-Averaged Electrocardiogram Performance for Body Surface Recordings. Computing in cardiology. 3 indexed citations
13.
Bear, Laura, Yeşim Serinağaoğlu Doğrusöz, Jana Švehlíková, et al.. (2018). Effects of ECG Signal Processing on the Inverse Problem of Electrocardiography. Computing in cardiology. 45. 20 indexed citations
14.
Bear, Laura, et al.. (2018). Evaluation of Fifteen Algorithms for the Resolution of the Electrocardiography Imaging Inverse Problem Using ex-vivo and in-silico Data. Frontiers in Physiology. 9. 1708–1708. 24 indexed citations
15.
16.
Zhao, Jichao, Nigel Lever, Gregory B. Sands, et al.. (2017). Atrial Electro-anatomic Mapping with a Novel Noncontact Approach. Computing in cardiology. 2 indexed citations
17.
Chamorro-Servent, Judit, et al.. (2016). Adaptive placement of the pseudo:boundaries improves the conditioning of the inverse problem. Computing in cardiology. 3 indexed citations
18.
Chamorro-Servent, Judit, Laura Bear, Josselin Duchâteau, et al.. (2016). Do we need to enforce the homogeneous Neumann condition on the torso for solving the inverse electrographic problem?. Computing in cardiology. 1 indexed citations
19.
Bear, Laura, Ruben Coronel, Peter Huntjens, et al.. (2016). Detection of Incomplete Left Bundle Branch Block by Noninvasive Electrocardiographic Imaging. Computing in cardiology. 2 indexed citations
20.
Bear, Laura, Rémi Dubois, & Néjib Zemzemi. (2016). Optimization of Organ Conductivity for the Forward Problem of Electrocardiography. Computing in cardiology. 43. 2 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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