Jan Šmíd
- Cardiology and Cardiovascular Medicine top 5%
- Neurology top 5%
- Cognitive Neuroscience top 10%
- Cellular and Molecular Neuroscience top 10%
- Molecular Biology
- Co-authors
- Martin BorggrefeAntonio SanzoMarkus ZabelGoran MilašinovićAntonello GavazziHarry J.G.M. CrijnsGaetano Maria De FerrariSrdjan Raspopović
- Topics
- Cardiac pacing and defibrillation studies (4 papers)Cardiac Arrhythmias and Treatments (4 papers)Cardiac Structural Anomalies and Repair (3 papers)
- Partner nations
- GermanyUnited StatesCzechia
In The Last Decade
Jan Šmíd
23 papers receiving 678 citations
Peers
Comparison fields: 5 of 85
- Cardiology and Cardiovascular Medicine 420
- Neurology 285
- Cognitive Neuroscience 217
- Cellular and Molecular Neuroscience 130
- Molecular Biology 66
Countries citing papers authored by Jan Šmíd
This map shows the geographic impact of Jan Šmíd'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 Jan Šmíd with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Šmíd more than expected).
Fields of papers citing papers by Jan Šmíd
This network shows the impact of papers produced by Jan Šmíd. 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 Jan Šmíd. The network helps show where Jan Šmíd may publish in the future.
Co-authorship network of co-authors of Jan Šmíd
This figure shows the co-authorship network connecting the top 25 collaborators of Jan Šmíd. A scholar is included among the top collaborators of Jan Šmíd 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 Jan Šmíd. Jan Šmíd is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 7 | |
| 3 | 6 | |
| 4 | 9 | |
| 5 | 2 | |
| 6 | 383 | |
| 7 | 94 | |
| 8 | 3 | |
| 9 | 9 | |
| 10 | 1 | |
| 11 | 105 | |
| 12 | Ontology Design with Formal Concept Analysis. | 38 |
| 13 | WordNet Ontology Based Model for Information Retrieval. | 2 |
| 14 | Communication in Robotic Soccer Game. | 1 |
| 15 | Clustering of Documents Via Similarity Measures. | 1 |
| 16 | 1 | |
| 17 | 1 | |
| 18 | Incidence of circulatory arrest in patients with acute myocardial infarction in coronary unit. Mechanism of their genesis and factors conditioning successful resuscitation. | 1 |
| 19 | [Hypoxemia in acute myocardial infarction (author's transl)]. | 1 |
| 20 | Myocardial rupture in acute myocardial infarction. | 5 |
About Jan Šmíd
Jan Šmíd is a scholar working on Cardiology and Cardiovascular Medicine, Neurology and Instrumentation, having authored 25 papers that have together received 702 indexed citations. Recurring topics across this work include Cardiac pacing and defibrillation studies (4 papers), Cardiac Arrhythmias and Treatments (4 papers) and Cardiac Structural Anomalies and Repair (3 papers). The work is most often cited by research in Neurology (285 citations), Cardiology and Cardiovascular Medicine (420 citations) and Cognitive Neuroscience (217 citations). Jan Šmíd has collaborated with scholars based in Germany, United States and Czechia. Frequent co-authors include Martin Borggrefe, Antonio Sanzo, Markus Zabel, Goran Milašinović, Antonello Gavazzi, Harry J.G.M. Crijns, Gaetano Maria De Ferrari, Srdjan Raspopović, Peter J. Schwartz and Robert Dennert. Their work appears in journals such as Circulation, European Heart Journal and Hippocampus.
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.