Louis Atallah

2.9k total citations
64 papers, 2.0k citations indexed

About

Louis Atallah is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition and Surgery. According to data from OpenAlex, Louis Atallah has authored 64 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Biomedical Engineering, 20 papers in Computer Vision and Pattern Recognition and 16 papers in Surgery. Recurrent topics in Louis Atallah's work include Context-Aware Activity Recognition Systems (17 papers), Non-Invasive Vital Sign Monitoring (11 papers) and ECG Monitoring and Analysis (7 papers). Louis Atallah is often cited by papers focused on Context-Aware Activity Recognition Systems (17 papers), Non-Invasive Vital Sign Monitoring (11 papers) and ECG Monitoring and Analysis (7 papers). Louis Atallah collaborates with scholars based in United Kingdom, United States and Netherlands. Louis Atallah's co-authors include Guang‐Zhong Yang, Benny Lo, Rachel King, Ara Darzi, Julian Leong, Guang Yang, Omer Aziz, Peter Andriessen, Daniel Leff and Felipe Orihuela‐Espina and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.

In The Last Decade

Louis Atallah

62 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Louis Atallah United Kingdom 25 761 759 323 239 201 64 2.0k
Frank Knoefel Canada 24 506 0.7× 650 0.9× 251 0.8× 158 0.7× 191 1.0× 185 2.2k
J. Craig Nelson United States 22 537 0.7× 430 0.6× 210 0.7× 214 0.9× 101 0.5× 69 1.7k
Juha Pärkkä Finland 20 1.1k 1.5× 861 1.1× 109 0.3× 376 1.6× 239 1.2× 42 2.4k
Stephen Preece United Kingdom 21 632 0.8× 1.0k 1.3× 210 0.7× 121 0.5× 99 0.5× 64 2.6k
Rafik Goubran Canada 30 891 1.2× 1.2k 1.5× 289 0.9× 408 1.7× 342 1.7× 370 4.1k
Andrea Mannini Italy 25 845 1.1× 1.2k 1.6× 96 0.3× 173 0.7× 97 0.5× 108 2.5k
Babak Taati Canada 27 537 0.7× 598 0.8× 151 0.5× 71 0.3× 113 0.6× 101 2.0k
Tamara Hayes United States 31 739 1.0× 372 0.5× 114 0.4× 143 0.6× 89 0.4× 71 2.6k
M. Mathie Australia 10 1.4k 1.8× 1.2k 1.6× 118 0.4× 332 1.4× 103 0.5× 12 2.4k
Ming-Chun Huang United States 24 428 0.6× 1.0k 1.4× 79 0.2× 125 0.5× 89 0.4× 92 2.0k

Countries citing papers authored by Louis Atallah

Since Specialization
Citations

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

Fields of papers citing papers by Louis Atallah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Louis Atallah

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

All Works

20 of 20 papers shown
1.
Liu, Xinggang, et al.. (2025). Prediction of Intensive Care Length of Stay for Surviving and Nonsurviving Patients Using Deep Learning. Critical Care Medicine. 53(4). e794–e804.
2.
Atallah, Louis, et al.. (2023). Machine Learning for Benchmarking Critical Care Outcomes. Healthcare Informatics Research. 29(4). 301–314. 8 indexed citations
3.
Schwager, Emma, et al.. (2023). Machine learning prediction of the total duration of invasive and non-invasive ventilation During ICU Stay. SHILAP Revista de lepidopterología. 2(9). e0000289–e0000289. 4 indexed citations
4.
Moon, Seong-Eun, et al.. (2023). GenHPF: General Healthcare Predictive Framework for Multi-Task Multi-Source Learning. IEEE Journal of Biomedical and Health Informatics. 28(1). 502–513. 9 indexed citations
5.
Bernardi, Martin H., et al.. (2023). Incidence and outcomes of AKI in postoperative patients admitted to ICU using full KDIGO criteria – a cohort study. Journal of Clinical Anesthesia. 89. 111156–111156. 13 indexed citations
6.
Atallah, Louis, et al.. (2020). Perioperative measurement of core body temperature using an unobtrusive passive heat flow sensor. Journal of Clinical Monitoring and Computing. 34(6). 1351–1359. 9 indexed citations
7.
Bie, Ashley J.R. De, et al.. (2019). Implementation of an automated early warning scoring system in a surgical ward: Practical use and effects on patient outcomes. PLoS ONE. 14(5). e0213402–e0213402. 20 indexed citations
8.
Kommers, Deedee, Rohan Joshi, Carola van Pul, et al.. (2016). Features of Heart Rate Variability Capture Regulatory Changes During Kangaroo Care in Preterm Infants. The Journal of Pediatrics. 182. 92–98.e1. 44 indexed citations
9.
Atallah, Louis, et al.. (2015). ECG synthesis from separate wearable bipolar electrodes. PubMed. 2015. 5058–5061. 3 indexed citations
10.
Kwasnicki, Richard M., Louis Atallah, Julian Leong, et al.. (2015). A wearable mobility assessment device for total knee replacement: A longitudinal feasibility study. International Journal of Surgery. 18. 14–20. 32 indexed citations
11.
Atallah, Louis, Julia L. Kelly, Dinesh Shrikrishna, et al.. (2012). Effect of acute exacerbations on skeletal muscle strength and physical activity in cystic fibrosis. Journal of Cystic Fibrosis. 11(3). 209–215. 26 indexed citations
12.
Atallah, Louis, et al.. (2011). Observing Recovery from Knee-Replacement Surgery by Using Wearable Sensors. 29–34. 31 indexed citations
13.
Atallah, Louis, et al.. (2011). Direction sensitive fall detection using a triaxial accelerometer and a barometric pressure sensor. PubMed. 2011. 369–372. 90 indexed citations
14.
Bennebroek, Martijn, Andre Barroso, Louis Atallah, Benny Lo, & Guang‐Zhong Yang. (2010). Deployment of wireless sensors for remote elderly monitoring. 1–5. 4 indexed citations
15.
Atallah, Louis, Benny Lo, Dinesh Shrikrishna, et al.. (2010). Validation Of An Ear Worn Sensor For Activity Monitoring In COPD. A1211–A1211. 7 indexed citations
16.
Leong, Julian, Marios Nicolaou, Louis Atallah, et al.. (2007). HMM assessment of quality of movement trajectory in laparoscopic surgery. Computer Aided Surgery. 12(6). 335–346. 37 indexed citations
17.
Leff, Daniel, Felipe Orihuela‐Espina, Louis Atallah, Ara Darzi, & Guang‐Zhong Yang. (2007). Functional Near Infrared Spectroscopy in Novice and Expert Surgeons – A Manifold Embedding Approach. Lecture notes in computer science. 10(Pt 2). 270–277. 29 indexed citations
18.
Leong, Julian, Marios Nicolaou, Louis Atallah, et al.. (2006). HMM Assessment of Quality of Movement Trajectory in Laparoscopic Surgery. Lecture notes in computer science. 9(Pt 1). 752–759. 40 indexed citations
19.
Atallah, Louis, Changjing Shang, & Richard Bates. (2005). Object detection at different resolution in archaeological side-scan sonar images. 287–292 Vol. 1. 9 indexed citations
20.
Atallah, Louis, et al.. (2004). Automatic seabed classification by the analysis of sidescan sonar and bathymetric imagery. IEE Proceedings - Radar Sonar and Navigation. 151(5). 327–336. 11 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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