Dawid Gerstel

2.0k total citations
2 papers, 31 citations indexed

About

Dawid Gerstel is a scholar working on Physiology, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Dawid Gerstel has authored 2 papers receiving a total of 31 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Physiology, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Cognitive Neuroscience. Recurrent topics in Dawid Gerstel's work include Obstructive Sleep Apnea Research (2 papers), Sleep and related disorders (1 paper) and Non-Invasive Vital Sign Monitoring (1 paper). Dawid Gerstel is often cited by papers focused on Obstructive Sleep Apnea Research (2 papers), Sleep and related disorders (1 paper) and Non-Invasive Vital Sign Monitoring (1 paper). Dawid Gerstel collaborates with scholars based in United States. Dawid Gerstel's co-authors include Christine C. Guo, Matthew Patterson, Rakesh Pilkar, Adonay S. Nunes and Sheraz Khan and has published in prestigious journals such as Sensors and npj Digital Medicine.

In The Last Decade

Dawid Gerstel

1 paper receiving 31 citations

Peers

Dawid Gerstel

ECP

CN

PHYSI

CVPR

BE

L. E. Yates United States

Long Long Chen Sweden

Amy Costa United States

Gustavo Desouzart Portugal

Ileana De Anda‐Duran United States

Yomna E. Dean Egypt

Michelangelo Maestri Tassoni Italy

Rebecca Cousins United Kingdom

Youhui Li China

Nerisa Dozo Australia

L. E. Yates United States

Dawid Gerstel

23 ×1.1

ECP

23 ×1.4

CN

6 ×0.5

PHYSI

2 ×0.4

CVPR

3 ×0.6

BE

Citations per year, relative to Dawid Gerstel Dawid Gerstel (= 1×) peers L. E. Yates

Countries citing papers authored by Dawid Gerstel

Since Specialization

Citations

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

Fields of papers citing papers by Dawid Gerstel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dawid Gerstel

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

All Works

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2 of 2 papers shown

1.

Nunes, Adonay S., et al.. (2024). Domain Adversarial Convolutional Neural Network Improves the Accuracy and Generalizability of Wearable Sleep Assessment Technology. Sensors. 24(24). 7982–7982.

2.

Patterson, Matthew, et al.. (2023). 40 years of actigraphy in sleep medicine and current state of the art algorithms. npj Digital Medicine. 6(1). 51–51. 31 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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