William Kaiser

1.4k total citations
58 papers, 873 citations indexed

About

William Kaiser is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Surgery. According to data from OpenAlex, William Kaiser has authored 58 papers receiving a total of 873 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 10 papers in Computer Networks and Communications and 9 papers in Surgery. Recurrent topics in William Kaiser's work include Context-Aware Activity Recognition Systems (11 papers), Energy Efficient Wireless Sensor Networks (6 papers) and Balance, Gait, and Falls Prevention (5 papers). William Kaiser is often cited by papers focused on Context-Aware Activity Recognition Systems (11 papers), Energy Efficient Wireless Sensor Networks (6 papers) and Balance, Gait, and Falls Prevention (5 papers). William Kaiser collaborates with scholars based in United States, Greece and United Kingdom. William Kaiser's co-authors include Maxim A. Batalin, Thanos Stathopoulos, Majid Sarrafzadeh, Amarjeet Singh, Andreas Krause, Carlos Guestrin, Gregory J. Pottie, Bruce H. Dobkin, G.H. Wheatley and Lawrence K. Au and has published in prestigious journals such as Physical Review Letters, Journal of the American College of Cardiology and Neurology.

In The Last Decade

William Kaiser

54 papers receiving 815 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
William Kaiser United States 17 269 182 171 153 92 58 873
Xiaojun Zhai United Kingdom 22 388 1.4× 387 2.1× 286 1.7× 253 1.7× 209 2.3× 134 1.6k
D. K. Arvind United Kingdom 18 267 1.0× 156 0.9× 210 1.2× 342 2.2× 49 0.5× 80 956
Massimo Camplani United Kingdom 17 137 0.5× 700 3.8× 87 0.5× 189 1.2× 90 1.0× 45 1.0k
Rachel King Australia 19 212 0.8× 490 2.7× 98 0.6× 412 2.7× 115 1.3× 55 1.3k
Riccardo Bernardini Italy 15 51 0.2× 248 1.4× 89 0.5× 303 2.0× 65 0.7× 92 1.3k
Yuzhe Yang China 16 111 0.4× 220 1.2× 141 0.8× 156 1.0× 266 2.9× 28 1.1k
Juan Manuel López Spain 16 94 0.3× 35 0.2× 77 0.5× 262 1.7× 80 0.9× 81 902
Roman Trobec Slovenia 20 228 0.8× 73 0.4× 150 0.9× 414 2.7× 80 0.9× 125 1.4k
Ennio Gambi Italy 21 346 1.3× 806 4.4× 453 2.6× 671 4.4× 303 3.3× 174 1.8k
Paola Pierleoni Italy 22 415 1.5× 488 2.7× 389 2.3× 424 2.8× 250 2.7× 109 1.6k

Countries citing papers authored by William Kaiser

Since Specialization
Citations

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

Fields of papers citing papers by William Kaiser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William Kaiser

This figure shows the co-authorship network connecting the top 25 collaborators of William Kaiser. A scholar is included among the top collaborators of William Kaiser 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 William Kaiser. William Kaiser 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.
Balliu, Brunilda, Chris Douglas, Liat Shenhav, et al.. (2024). Personalized mood prediction from patterns of behavior collected with smartphones. npj Digital Medicine. 7(1). 49–49. 15 indexed citations
2.
Howard‐Quijano, Kimberly, Per Henrik Borgstrom, Yi Zheng, et al.. (2023). Evaluation of Wearable Acoustic Sensors and Machine Learning Algorithms for Automated Measurement of Left Ventricular Ejection Fraction. The American Journal of Cardiology. 200. 87–94. 3 indexed citations
3.
Howard‐Quijano, Kimberly, Per Henrik Borgstrom, Xu Zhang, et al.. (2022). NOV-INVASIVE AND AUTOMATED MEASUREMENT OF EJECTION FRACTION USING MACHINE LEARNING ALGORITHMS ON CARDIAC ACOUSTIC SIGNALS: A COMPARISON WITH ECHOCARDIOGRAPHY. Journal of the American College of Cardiology. 79(9). 2030–2030. 2 indexed citations
4.
Golwala, Harsh, Firas Zahr, Yi Zheng, et al.. (2022). NON-INVASIVE AND AUTOMATED CARDIAC OUTPUT MEASUREMENT FROM CARDIAC ACOUSTIC SIGNALS USING THE CARDIAC PERFORMANCE SYSTEM: A COMPARISON WITH CATHETERIZATION. Journal of the American College of Cardiology. 79(9). 2006–2006. 2 indexed citations
5.
Zhang, Xu, et al.. (2020). FULLY-AUTOMATED MITRAL E/A RATIO COMPUTATION USING A PHONOCARDIOGRAM-BASED FEATURE. Journal of the American College of Cardiology. 75(11). 3503–3503. 1 indexed citations
6.
Borgstrom, Per Henrik, et al.. (2020). Science and Engineering Active Learning (SEAL) System: A Novel Approach to Controls Laboratories. 25.1143.1–25.1143.14. 4 indexed citations
7.
Kaneshiro, Marc, William Kaiser, Phillip Fleshner, et al.. (2015). Postoperative Gastrointestinal Telemetry with an Acoustic Biosensor Predicts Ileus vs. Uneventful GI Recovery. Journal of Gastrointestinal Surgery. 20(1). 132–139. 31 indexed citations
8.
Chen, Victor, et al.. (2014). What Can We Learn from High Frequency Appliance Level Energy Metering? Results from a Field Experiment. eScholarship (California Digital Library). 1 indexed citations
9.
Spiegel, Brennan, Marc Kaneshiro, Marcia M. Russell, et al.. (2014). Validation of an Acoustic Gastrointestinal Surveillance Biosensor for Postoperative Ileus. Journal of Gastrointestinal Surgery. 18(10). 1795–1803. 36 indexed citations
10.
Kaiser, William, et al.. (2012). Proceedings of the conference on Wireless Health. 1 indexed citations
11.
Batalin, Maxim A., et al.. (2012). Gait quality evaluation method for post-stroke patients. 613–616. 5 indexed citations
12.
Kaiser, William, et al.. (2010). Implantar una red de sensores inalámbricos de NI para monitorizar la ocupación de plazas de aparcamiento. 42–44. 2 indexed citations
13.
Harmon, Thomas C., et al.. (2009). Closing the Loop on Groundwater-Surface Water Interactions, River Hydrodynamics, and Metabolism on the San Joaquin River Basin. eScholarship (California Digital Library). 1 indexed citations
14.
Stathopoulos, Thanos, et al.. (2009). Accurate Energy Attribution and Accounting for Multi-core Systems. eScholarship (California Digital Library). 4 indexed citations
15.
Stathopoulos, Thanos, et al.. (2008). Energy-aware high performance computing with graphic processing units. 11–11. 54 indexed citations
16.
Hamilton, Michael, Eric Graham, Philip W. Rundel, et al.. (2007). New Approaches in Embedded Networked Sensing for Terrestrial Ecological Observatories. Environmental Engineering Science. 24(2). 192–204. 45 indexed citations
17.
Gilbert, R. M., et al.. (2005). NIMS Public Health Applications: Algal Blooms. eScholarship (California Digital Library). 1 indexed citations
18.
Pon, Richard T., Maxim A. Batalin, Mohammad Rahimi, et al.. (2005). Networked Infomechanical Systems: A Mobile Wireless Sensor Network Platform. Information Processing in Sensor Networks. 376–381. 7 indexed citations
19.
Kaiser, William. (1975). [Development of anatomical and physiological research in dermatology in the early 19th century].. PubMed. 161(1). 1–10.
20.
Kaiser, William, et al.. (1967). [Methodological diagnostic problems in the suspicion of allergy related drug lesions].. PubMed. 13(6). 245–8. 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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