Marpe Sora
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
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- Antibiotic Use and Resistance
Papers in
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- ECG Monitoring and Analysis 8
- Cardiac electrophysiology and arrhythmias 3
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- EEG and Brain-Computer Interfaces 7
- Co-authors
- Jagdeep Rahul (9 shared papers)Lakhan Dev Sharma (4 shared papers)Xavier Corbella (1 shared paper)Miquel Pujol (1 shared paper)Francesc Gudiol (1 shared paper)Fé Tubau (1 shared paper)Carmen Ardanuy (1 shared paper)Vijay Kumar Bohat (1 shared paper)
In The Last Decade
Marpe Sora
15 papers receiving 293 citations
Peers
Comparison fields: 5 of 72
- Molecular Medicine 114
- Applied Microbiology and Biotechnology 25
- Cardiology and Cardiovascular Medicine 131
- Cognitive Neuroscience 101
- Endocrinology 27
Countries citing papers authored by Marpe Sora
This map shows the geographic impact of Marpe Sora'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 Marpe Sora with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marpe Sora more than expected).
Fields of papers citing papers by Marpe Sora
This network shows the impact of papers produced by Marpe Sora. 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 Marpe Sora. The network helps show where Marpe Sora may publish in the future.
Co-authors
The 9 scholars most cited alongside Marpe Sora, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 124 | |
| 2 | 2021 | 52 | |
| 3 | 2021 | 27 | |
| 4 | 2021 | 24 | |
| 5 | 2021 | 21 | |
| 6 | 2020 | 19 | |
| 7 | 2020 | 10 | |
| 8 | 2021 | 9 | |
| 9 | 2020 | 5 | |
| 10 | 2013 | 5 | |
| 11 | 2022 | 3 | |
| 12 | 2018 | 3 | |
| 13 | 2019 | 3 | |
| 14 | [Food-drug interactions]. | 1997 | 2 |
| 15 | Financial Fraud Detection Using Deep Learning Approach | 2021 | 1 |
| 16 | 2024 | 0 | |
| 17 | 2019 | 0 |
About Marpe Sora
Marpe Sora is a scholar working on Cardiology and Cardiovascular Medicine, Cognitive Neuroscience, Biomedical Engineering, Artificial Intelligence and Management Science and Operations Research, having authored 17 papers that have together received 308 indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (8 papers), EEG and Brain-Computer Interfaces (7 papers), Imbalanced Data Classification Techniques (4 papers), Cardiac electrophysiology and arrhythmias (3 papers), Non-Invasive Vital Sign Monitoring (3 papers), Stock Market Forecasting Methods (3 papers), Financial Distress and Bankruptcy Prediction (2 papers) and Analog and Mixed-Signal Circuit Design (2 papers). The work is most often cited by research in Molecular Medicine (114 citations), Applied Microbiology and Biotechnology (25 citations), Cardiology and Cardiovascular Medicine (131 citations), Cognitive Neuroscience (101 citations) and Endocrinology (27 citations). Marpe Sora has collaborated with scholars based in India and Spain. Frequent co-authors include Jagdeep Rahul, Lakhan Dev Sharma, Xavier Corbella, Miquel Pujol, Francesc Gudiol, Fé Tubau, Carmen Ardanuy, Vijay Kumar Bohat and Eduardo Barroso. Their work appears in journals such as Journal of Antimicrobial Chemotherapy, Journal of Applied Biomedicine, Biomedical Signal Processing and Control, Physical and Engineering Sciences in Medicine and Computers in Biology and Medicine.
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.