Daniel E. Rivera

9.1k total citations · 2 hit papers
227 papers, 5.7k citations indexed

About

Daniel E. Rivera is a scholar working on Control and Systems Engineering, Applied Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Daniel E. Rivera has authored 227 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 131 papers in Control and Systems Engineering, 34 papers in Applied Psychology and 22 papers in Experimental and Cognitive Psychology. Recurrent topics in Daniel E. Rivera's work include Advanced Control Systems Optimization (87 papers), Control Systems and Identification (80 papers) and Fault Detection and Control Systems (71 papers). Daniel E. Rivera is often cited by papers focused on Advanced Control Systems Optimization (87 papers), Control Systems and Identification (80 papers) and Fault Detection and Control Systems (71 papers). Daniel E. Rivera collaborates with scholars based in United States, Spain and Ecuador. Daniel E. Rivera's co-authors include Manfred Morari, Sigurd Skogestad, William T. Riley, Martin Braun, Wendy Nilsen, Karl G. Kempf, Eric B. Hekler, Audie A. Atienza, Susannah Allison and Robin J. Mermelstein and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Journal of Clinical Nutrition and IEEE Transactions on Automatic Control.

In The Last Decade

Daniel E. Rivera

209 papers receiving 5.4k citations

Hit Papers

Internal model control: P... 1986 2026 1999 2012 1986 2011 250 500 750 1000
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.

  1. Internal model control: PID controller design
    1986 1.2k citations Daniel E. Rivera et al. profile →
  2. Health behavior models in the age of mobile interventions: are our theories up to the task?
    2011 750 citations Daniel E. Rivera et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Daniel E. Rivera 2.6k 1.2k 1.1k 465 422 227 5.7k
Paul Lukowicz 413 0.2× 265 0.2× 391 0.3× 142 0.3× 158 0.4× 355 8.6k
Chris Nugent 274 0.1× 941 0.8× 263 0.2× 304 0.7× 334 0.8× 445 8.1k
Philip Kortum 129 0.0× 943 0.8× 531 0.5× 224 0.5× 389 0.9× 96 7.3k
Erik Hollnagel 604 0.2× 719 0.6× 64 0.1× 87 0.2× 297 0.7× 230 9.8k
Aaron Bangor 122 0.0× 784 0.7× 439 0.4× 207 0.4× 353 0.8× 6 5.5k
Daniel P. Siewiorek 461 0.2× 155 0.1× 190 0.2× 85 0.2× 110 0.3× 341 10.4k
Ben Kröse 543 0.2× 264 0.2× 197 0.2× 183 0.4× 96 0.2× 228 7.0k
Catherine M. Burns 207 0.1× 718 0.6× 165 0.1× 318 0.7× 664 1.6× 224 3.6k
Mark A. Neerincx 270 0.1× 290 0.2× 516 0.5× 58 0.1× 90 0.2× 243 4.4k
Branko G. Celler 733 0.3× 455 0.4× 58 0.1× 370 0.8× 339 0.8× 256 6.6k

Countries citing papers authored by Daniel E. Rivera

Since Specialization
Citations

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

Fields of papers citing papers by Daniel E. Rivera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel E. Rivera

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel E. Rivera. A scholar is included among the top collaborators of Daniel E. Rivera 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 E. Rivera. Daniel E. Rivera 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.
Rivera, Daniel E., et al.. (2026). Enhancing pH control in microalgae raceway photobioreactors using 3DoF-KF model-on-demand model predictive control. Control Engineering Practice. 168. 106742–106742.
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Rivera, Daniel E., et al.. (2024). Predicting goal attainment in process-oriented behavioral interventions using a data-driven system identification approach. Journal of Process Control. 139. 103242–103242.
5.
Rivera, Daniel E., et al.. (2024). SIR Epidemic Control Using a 2DoF IMC-PID with Filter Control Strategy. IFAC-PapersOnLine. 58(7). 204–209.
6.
Guzmán, José Luís, Daniel E. Rivera, Manuel Berenguel, & S. Dormido. (2024). i-pIDtune 2.0: An Updated Interactive Tool for Integrated System Identification and PID Control. IFAC-PapersOnLine. 58(7). 61–66.
7.
Hekler, Eric B., et al.. (2024). 3DoF-KF HMPC: A Kalman filter-based Hybrid Model Predictive Control Algorithm for Mixed Logical Dynamical Systems. Control Engineering Practice. 154. 106171–106171. 7 indexed citations
8.
Norman, Gregory J., et al.. (2023). Development and Validation of Multivariable Prediction Algorithms to Estimate Future Walking Behavior in Adults: Retrospective Cohort Study. JMIR mhealth and uhealth. 11. e44296–e44296. 1 indexed citations
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Hohman, Emily E., Daniel E. Rivera, Penghong Guo, et al.. (2022). Underreporting of Energy Intake Increases over Pregnancy: An Intensive Longitudinal Study of Women with Overweight and Obesity. Nutrients. 14(11). 2326–2326. 4 indexed citations
11.
Spruijt‐Metz, Donna, Benjamin M. Marlin, Misha Pavel, et al.. (2022). Advancing Behavioral Intervention and Theory Development for Mobile Health: The HeartSteps II Protocol. International Journal of Environmental Research and Public Health. 19(4). 2267–2267. 17 indexed citations
12.
Guo, Penghong, Daniel E. Rivera, Sunil Deshpande, et al.. (2022). Optimizing behavioral interventions to regulate gestational weight gain with sequential decision policies using hybrid model predictive control. Computers & Chemical Engineering. 160. 107721–107721. 7 indexed citations
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Chevance, Guillaume, Dario Baretta, Natalie M. Golaszewski, et al.. (2020). Goal setting and achievement for walking: A series of N-of-1 digital interventions.. Health Psychology. 40(1). 30–39. 19 indexed citations
15.
Mercère, Guillaume, Alexander Medvedev, Daniel E. Rivera, Caterina Scoglio, & Bayu Jayawardhana. (2019). Foreword Identification and Control in Biomedical Applications. IEEE Transactions on Control Systems Technology. 28(1). 1–2. 3 indexed citations
16.
Santos, P. Lopes dos, et al.. (2018). System Identification of Just Walk: Using Matchable-Observable Linear Parametrizations. IEEE Transactions on Control Systems Technology. 28(1). 264–275. 5 indexed citations
17.
Downs, Danielle Symons, Jennifer S. Savage, Daniel E. Rivera, et al.. (2018). Individually Tailored, Adaptive Intervention to Manage Gestational Weight Gain: Protocol for a Randomized Controlled Trial in Women With Overweight and Obesity. JMIR Research Protocols. 7(6). e150–e150. 29 indexed citations
18.
Rivera, Daniel E., Penghong Guo, Emily E. Hohman, et al.. (2018). A dynamical systems model of intrauterine fetal growth. Mathematical and Computer Modelling of Dynamical Systems. 24(6). 661–687. 2 indexed citations
19.
Guo, Penghong, et al.. (2018). System Identification Approaches for Energy Intake Estimation: Enhancing Interventions for Managing Gestational Weight Gain. IEEE Transactions on Control Systems Technology. 28(1). 63–78. 10 indexed citations
20.
Álvarez, J.D., José Luís Guzmán, Daniel E. Rivera, Manuel Berenguel, & S. Dormido. (2012). ITCRI: An Interactive Software Tool for Evaluating Control-Relevant Identification. IFAC Proceedings Volumes. 45(16). 1529–1534. 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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