Daniel E. Rivera

9.1k citations
227 papers · 5.7k indexed · 2 hit papers · h-index 34
Topics
Advanced Control Systems Optimization (87 papers)Control Systems and Identification (80 papers)Fault Detection and Control Systems (71 papers)

In The Last Decade

Daniel E. Rivera

209 papers receiving 5.4k citations

Hit Papers

Internal model control: PID controller design1986202619992012198620112505007501000

Peers

Daniel E. Rivera
Comparison fields: 5 of 166
  • Control and Systems Engineering 2.6k
  • General Health Professions 1.2k
  • Applied Psychology 1.1k
  • Physiology 465
  • Public Health, Environmental and Occupational Health 422
Replace Chris Nugent with:
Chris Nugent United Kingdom
Philip Kortum United States
Aaron Bangor United States
Catherine M. Burns Canada
Erik Hollnagel Sweden
Rodrigo da Rosa Righi Brazil
Kashif Saleem Saudi Arabia
Amir M. Rahmani United States
Daniel P. Siewiorek United States
Sally McClean United Kingdom
Daniel E. Rivera relative to Chris Nugent United Kingdom Chris Nugent's profile →
Citations per field
00.5×9.6×
Chris Nugent · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 2
3 0
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5 0
6 0
7 7
8 1
9 8
10 17
11 4
12 7
13 19
14 3
15 10
16 5
17 29
18 2
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20 4

About Daniel E. Rivera

Daniel E. Rivera is a scholar working on Applied Psychology, Control and Systems Engineering and Industrial and Manufacturing Engineering, having authored 227 papers that have together received 5.7k indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (87 papers), Control Systems and Identification (80 papers) and Fault Detection and Control Systems (71 papers). The work is most often cited by research in Applied Psychology (1.1k citations), Control and Systems Engineering (2.6k citations) and General Health Professions (1.2k citations). Daniel E. Rivera has collaborated with scholars based in United States, Spain and Ecuador. Frequent co-authors include Manfred Morari, Sigurd Skogestad, William T. Riley, Martin Braun, Wendy Nilsen, Karl G. Kempf, Eric B. Hekler, Robin J. Mermelstein, Audie A. Atienza and Susannah Allison. Their work appears in journals such as SHILAP Revista de lepidopterología, American Journal of Clinical Nutrition and IEEE Transactions on Automatic Control.

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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