Jonathan Mayer

411 total citations · 1 hit paper
9 papers, 192 citations indexed

About

Jonathan Mayer is a scholar working on Surgery, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Jonathan Mayer has authored 9 papers receiving a total of 192 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Surgery, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Artificial Intelligence. Recurrent topics in Jonathan Mayer's work include Context-Aware Activity Recognition Systems (3 papers), Non-Invasive Vital Sign Monitoring (3 papers) and Healthcare Technology and Patient Monitoring (3 papers). Jonathan Mayer is often cited by papers focused on Context-Aware Activity Recognition Systems (3 papers), Non-Invasive Vital Sign Monitoring (3 papers) and Healthcare Technology and Patient Monitoring (3 papers). Jonathan Mayer collaborates with scholars based in United States, Sint Maarten and Singapore. Jonathan Mayer's co-authors include Milan Toma, Molly Bekbolatova, Chi Wei Ong, Gulam Mohammed Husain, Rosalyn Chan-Akeley, Husnain Mansoor Ali, Paramvir Singh, Jawad Ahmad and Paul Joseph and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Sciences and Brain Sciences.

In The Last Decade

Jonathan Mayer

6 papers receiving 177 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Transformative Potential of AI in Healthcare: Definitions, Applications, and Navigating the Ethical Landscape and Public Perspectives

2024 169 citations Molly Bekbolatova, Jonathan Mayer et al. Healthcare profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jonathan Mayer United States	3	77	47	46	27	24	9	192
Molly Bekbolatova United States	3	77 1.0×	46 1.0×	44 1.0×	26 1.0×	24 1.0×	7	190
Sum Yi Wong Hong Kong	3	108 1.4×	69 1.5×	84 1.8×	41 1.5×	15 0.6×	4	250
Mohammad Reza Afrash Iran	9	65 0.8×	60 1.3×	74 1.6×	35 1.3×	14 0.6×	31	259
Marius Geantă Romania	6	49 0.6×	30 0.6×	29 0.6×	21 0.8×	18 0.8×	15	148
Shirly Wang Canada	4	57 0.7×	36 0.8×	81 1.8×	23 0.9×	12 0.5×	4	179
Sangeetha Balaji India	6	116 1.5×	57 1.2×	54 1.2×	16 0.6×	23 1.0×	23	234
Sophia M. Pressman United States	9	146 1.9×	51 1.1×	64 1.4×	26 1.0×	20 0.8×	18	229
Philip Rothschild Australia	3	117 1.5×	86 1.8×	29 0.6×	17 0.6×	19 0.8×	6	207
David Ben‐Israel Canada	6	53 0.7×	51 1.1×	53 1.2×	31 1.1×	22 0.9×	15	230
Kimberly Villalobos Carballo United States	2	43 0.6×	37 0.8×	65 1.4×	23 0.9×	17 0.7×	2	147

Countries citing papers authored by Jonathan Mayer

Since Specialization

Citations

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

Fields of papers citing papers by Jonathan Mayer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Mayer

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Husain, Gulam Mohammed, et al.. (2025). SMOTE vs. SMOTEENN: A Study on the Performance of Resampling Algorithms for Addressing Class Imbalance in Regression Models. Algorithms. 18(1). 37–37. 16 indexed citations

2.

Bekbolatova, Molly, et al.. (2024). Biomechanical Effects of Seizures on Cerebral Dynamics and Brain Stress. Brain Sciences. 14(4). 323–323.

3.

Bekbolatova, Molly, et al.. (2024). Post-Trauma Fetal Care Using Computational Analysis in Prenatal Surgical Guidance. SHILAP Revista de lepidopterología. 5(3). 682–693.

4.

Bekbolatova, Molly, Jonathan Mayer, Chi Wei Ong, & Milan Toma. (2024). Transformative Potential of AI in Healthcare: Definitions, Applications, and Navigating the Ethical Landscape and Public Perspectives. Healthcare. 12(2). 125–125. 169 indexed citations breakdown →

5.

Mayer, Jonathan, et al.. (2024). Enhancing patient safety through integrated sensor technology and machine learning for bed-based patient movement detection in inpatient care. 1(2). 132–132. 3 indexed citations

6.

Mayer, Jonathan, et al.. (2024). The Role of ArtificiaI Intelligence in Brain Tumor Diagnosis: An Evaluation of a Machine Learning Model. Cureus. 16(6). e61483–e61483. 1 indexed citations

7.

Joseph, Paul, et al.. (2024). Regressive Machine Learning for Real-Time Monitoring of Bed-Based Patients. Applied Sciences. 14(21). 9978–9978.

8.

Husain, Gulam Mohammed, et al.. (2024). Machine learning for medical image classification. SHILAP Revista de lepidopterología. 1(4). 2 indexed citations

9.

Mayer, Jonathan, et al.. (2023). Evaluating the Feasibility of Euler Angles for Bed-Based Patient Movement Monitoring. SHILAP Revista de lepidopterología. 4(4). 788–799. 1 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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