Daniel Miller

760 total citations
27 papers, 380 citations indexed

About

Daniel Miller is a scholar working on Biomedical Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Daniel Miller has authored 27 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Biomedical Engineering, 6 papers in Computer Networks and Communications and 6 papers in Artificial Intelligence. Recurrent topics in Daniel Miller's work include Wireless Body Area Networks (4 papers), Non-Invasive Vital Sign Monitoring (3 papers) and Hemodynamic Monitoring and Therapy (3 papers). Daniel Miller is often cited by papers focused on Wireless Body Area Networks (4 papers), Non-Invasive Vital Sign Monitoring (3 papers) and Hemodynamic Monitoring and Therapy (3 papers). Daniel Miller collaborates with scholars based in United States, Israel and Canada. Daniel Miller's co-authors include Yaakov HaCohen‐Kerner, Nicholas Bambos, Zhengyuan Zhou, Sonia Chernova, Candace L. Sidner, Charles Rich, David Scheinker, Lauren D. Holinger, Dean M. Toriumi and Peter W. Glynn and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Automatic Control and Anesthesia & Analgesia.

In The Last Decade

Daniel Miller

26 papers receiving 371 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Miller United States 9 157 56 49 49 39 27 380
Peter Weller United Kingdom 11 163 1.0× 94 1.7× 11 0.2× 72 1.5× 40 1.0× 29 550
Salman Ahmad United States 11 61 0.4× 80 1.4× 14 0.3× 103 2.1× 25 0.6× 48 586
Tae Joon Jun South Korea 11 86 0.5× 48 0.9× 11 0.2× 53 1.1× 103 2.6× 46 397
Saurabh Johri United Kingdom 5 191 1.2× 17 0.3× 13 0.3× 19 0.4× 16 0.4× 5 468
Brandon Pincombe Australia 8 128 0.8× 46 0.8× 23 0.5× 32 0.7× 24 0.6× 24 360
Duncan L. Clarke United States 12 52 0.3× 127 2.3× 15 0.3× 14 0.3× 50 1.3× 42 524
Ken Chen China 10 87 0.6× 24 0.4× 37 0.8× 15 0.3× 26 0.7× 27 337
Teruhiro Mizumoto Japan 11 29 0.2× 44 0.8× 15 0.3× 17 0.3× 30 0.8× 44 310
Ramin Ramezani United States 12 121 0.8× 17 0.3× 28 0.6× 53 1.1× 24 0.6× 32 392
Tessy Badriyah Indonesia 14 130 0.8× 22 0.4× 6 0.1× 100 2.0× 20 0.5× 46 399

Countries citing papers authored by Daniel Miller

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Miller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Miller

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Miller. A scholar is included among the top collaborators of Daniel Miller 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 Daniel Miller. Daniel Miller 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.
Miller, Daniel, Gurpreet S. Dhillon, Nicholas Bambos, Andrew Y. Shin, & David Scheinker. (2023). WAVES – The Lucile Packard Children’s Hospital Pediatric Physiological Waveforms Dataset. Scientific Data. 10(1). 124–124. 2 indexed citations
2.
Simpson, Anna, et al.. (2022). Microbial Burden Estimation of Food Items, Built Environments, and the International Space Station Using Film Media. Microorganisms. 10(9). 1714–1714. 4 indexed citations
3.
HaCohen‐Kerner, Yaakov, et al.. (2020). The influence of preprocessing on text classification using a bag-of-words representation. PLoS ONE. 15(5). e0232525–e0232525. 145 indexed citations
4.
Nilsson, Tommy, et al.. (2019). Multisensory Virtual Environment for Fire Evacuation Training. 1–4. 5 indexed citations
5.
Miller, Daniel, Andrew Ward, Nicholas Bambos, Andrew Y. Shin, & David Scheinker. (2019). Noninvasive Identification of Hypotension Using Convolutional-Deconvolutional Networks. 1–6. 3 indexed citations
6.
HaCohen‐Kerner, Yaakov, et al.. (2019). The Impact of Preprocessing on the Classification of Mental Disorders.. 52–66. 2 indexed citations
7.
David, Yair Bar, et al.. (2019). Learning Health State Transition Probabilities via Wireless Body Area Networks. 20. 1–6. 3 indexed citations
8.
HaCohen‐Kerner, Yaakov, et al.. (2018). Cross-domain Authorship Attribution: Author Identification using Char Sequences, Word Uni-grams, and POS-tags Features: Notebook for PAN at CLEF 2018.. CLEF (Working Notes).
9.
HaCohen‐Kerner, Yaakov, et al.. (2018). Author Profiling: Gender Prediction from Tweets and Images: Notebook for PAN at CLEF 2018.. Durham Research Online (Durham University). 2 indexed citations
10.
Miller, Daniel, Andrew Ward, & Nicholas Bambos. (2018). Automatic Sleep Arousal Identification From Physiological Waveforms Using Deep Learning. Computing in cardiology. 10 indexed citations
11.
Wu, Victoria, Daniel Miller, Sonia Chernova, et al.. (2018). Simultaneous learning of hierarchy and primitives for complex robot tasks. Autonomous Robots. 43(4). 859–874. 14 indexed citations
12.
Singleton, Mark, Rita Agarwal, David Scheinker, et al.. (2017). The Pediatric Anesthesiology Workforce: Projecting Supply and Trends 2015–2035. Anesthesia & Analgesia. 126(2). 568–578. 14 indexed citations
13.
Master, Neal, Zhengyuan Zhou, Daniel Miller, et al.. (2017). Improving predictions of pediatric surgical durations with supervised learning. International Journal of Data Science and Analytics. 4(1). 35–52. 30 indexed citations
14.
Zhou, Zhengyuan, Daniel Miller, Nicholas Bambos, & Peter W. Glynn. (2016). A Stochastic Stability Characterization of the Foschini-Miljanic Algorithm in Random Wireless Networks. 1–6. 7 indexed citations
15.
Zhou, Zhengyuan, Daniel Miller, Neal Master, et al.. (2016). Detecting Inaccurate Predictions of Pediatric Surgical Durations. 452–457. 10 indexed citations
16.
Miller, Daniel, Neal Master, Zhengyuan Zhou, & Nicholas Bambos. (2015). Scalable Data Center Power Management via a Global Stress Signal. 2015 IEEE Global Communications Conference (GLOBECOM). 10. 1–7. 2 indexed citations
17.
Drouin, Michelle, et al.. (2012). Phantom Vibration Syndrome. Opus: Research & Creativity (Indiana University – Purdue University Fort Wayne). 2 indexed citations
18.
Baldwin, Keith, et al.. (2010). Is Spine Consultation Needed for All Thoracolumbar Fractures? Evaluation of a Subspecialist-Sparing Protocol for Screening and Management of Stable Fractures. The Journal of Trauma: Injury, Infection, and Critical Care. 69(6). 1491–1496. 4 indexed citations
19.
Crabtree, Jason, et al.. (2008). Helical Anchors: Lateral Resistance for Shaping the Lunar Surface. 1–10. 3 indexed citations
20.
Toriumi, Dean M., Daniel Miller, & Lauren D. Holinger. (1987). Acquired subglottic cysts in premature infants. International Journal of Pediatric Otorhinolaryngology. 14(2-3). 151–160. 27 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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