Ričards Marcinkevičs

503 total citations
11 papers, 189 citations indexed

About

Ričards Marcinkevičs is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Emergency Medicine. According to data from OpenAlex, Ričards Marcinkevičs has authored 11 papers receiving a total of 189 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Surgery, 3 papers in Cardiology and Cardiovascular Medicine and 3 papers in Emergency Medicine. Recurrent topics in Ričards Marcinkevičs's work include Intestinal Malrotation and Obstruction Disorders (3 papers), Appendicitis Diagnosis and Management (3 papers) and Heart Rate Variability and Autonomic Control (2 papers). Ričards Marcinkevičs is often cited by papers focused on Intestinal Malrotation and Obstruction Disorders (3 papers), Appendicitis Diagnosis and Management (3 papers) and Heart Rate Variability and Autonomic Control (2 papers). Ričards Marcinkevičs collaborates with scholars based in Switzerland, Germany and United Kingdom. Ričards Marcinkevičs's co-authors include Julia E. Vogt, Sven Wellmann, Christian Knorr, Pablo Sinues, Thomas Gaisl, Martin Osswald, Joachim M. Buhmann, Nora Nowak, Steven A. Brown and Malcolm Kohler and has published in prestigious journals such as Cell Reports, Medical Image Analysis and EP Europace.

In The Last Decade

Ričards Marcinkevičs

10 papers receiving 183 citations

Peers

Ričards Marcinkevičs

AI

EM

SURGE

BE

MB

James JM Loan United Kingdom

Laura Moss United Kingdom

Saqib Ejaz Awan Australia

Rob Donald United Kingdom

Martin Faltys Switzerland

Livija Jakaite United Kingdom

Arpit Bansal India

Nathan Scales Canada

William P. T. M. van Doorn Netherlands

Martina Šišáková Czechia

James JM Loan United Kingdom

Ričards Marcinkevičs

10 ×0.2

AI

30 ×0.6

EM

28 ×0.8

SURGE

12 ×0.6

BE

31 ×1.6

MB

Citations per year, relative to Ričards Marcinkevičs Ričards Marcinkevičs (= 1×) peers James JM Loan

Countries citing papers authored by Ričards Marcinkevičs

Since Specialization

Citations

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

Fields of papers citing papers by Ričards Marcinkevičs

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ričards Marcinkevičs

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

All Works

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11 of 11 papers shown

1.

Marcinkevičs, Ričards, et al.. (2024). Beyond Concept Bottleneck Models: How to Make Black Boxes Intervenable?. 85006–85044.

2.

Marcinkevičs, Ričards, et al.. (2023). Interpretable and intervenable ultrasonography-based machine learning models for pediatric appendicitis. Medical Image Analysis. 91. 103042–103042. 19 indexed citations

3.

Schuurmans, Macé M., Michał Muszyński, Xiang Li, et al.. (2023). Multimodal Remote Home Monitoring of Lung Transplant Recipients during COVID-19 Vaccinations: Usability Pilot Study of the COVIDA Desk Incorporating Wearable Devices. Medicina. 59(3). 617–617. 2 indexed citations

4.

Xiao, Zixuan, Michał Muszyński, Ričards Marcinkevičs, et al.. (2023). Breathing New Life into COPD Assessment: Multisensory Home-monitoring for Predicting Severity. Repository for Publications and Research Data (ETH Zurich). 84–93. 1 indexed citations

5.

Marcinkevičs, Ričards & Julia E. Vogt. (2023). Interpretable and explainable machine learning: A methods‐centric overview with concrete examples. Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery. 13(3). 69 indexed citations

6.

Nowak, Nora, Thomas Gaisl, Ričards Marcinkevičs, et al.. (2021). Rapid and reversible control of human metabolism by individual sleep states. Cell Reports. 37(4). 109903–109903. 34 indexed citations

7.

Marcinkevičs, Ričards, et al.. (2021). A Deep Variational Approach to Clustering Survival Data. Repository for Publications and Research Data (ETH Zurich). 4 indexed citations

8.

Marcinkevičs, Ričards, et al.. (2021). Using Machine Learning to Predict the Diagnosis, Management and Severity of Pediatric Appendicitis. Frontiers in Pediatrics. 9. 662183–662183. 50 indexed citations

9.

Marcinkevičs, Ričards, et al.. (2021). Exploring Relationships between Cerebral and Peripheral Biosignals with Neural Networks. 103–113. 1 indexed citations

10.

Marcinkevičs, Ričards, et al.. (2021). Learning Medical Risk Scores for Pediatric Appendicitis. 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA). 1507–1512. 6 indexed citations

11.

Marcinkevičs, Ričards, James O’Neill, Eleftheria Pervolaraki, et al.. (2017). Multichannel electrocardiogram diagnostics for the diagnosis of arrhythmogenic right ventricular dysplasia. EP Europace. 20(FI1). f13–f19. 3 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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