Derrick K. Rollins

1.1k total citations
68 papers, 761 citations indexed

About

Derrick K. Rollins is a scholar working on Control and Systems Engineering, Statistics, Probability and Uncertainty and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Derrick K. Rollins has authored 68 papers receiving a total of 761 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Control and Systems Engineering, 16 papers in Statistics, Probability and Uncertainty and 10 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Derrick K. Rollins's work include Fault Detection and Control Systems (27 papers), Control Systems and Identification (22 papers) and Advanced Control Systems Optimization (17 papers). Derrick K. Rollins is often cited by papers focused on Fault Detection and Control Systems (27 papers), Control Systems and Identification (22 papers) and Advanced Control Systems Optimization (17 papers). Derrick K. Rollins collaborates with scholars based in United States, India and Spain. Derrick K. Rollins's co-authors include J. F. Davis, Ali Çınar, Lauretta Quinn, Sriram Devanathan, Elizabeth Littlejohn, R. Christopher Williams, Elif Seyma Bayrak, Kamuran Turksoy, A. M. Bassily and Gerald M. Colver and has published in prestigious journals such as Technometrics, Automatica and Industrial & Engineering Chemistry Research.

In The Last Decade

Derrick K. Rollins

65 papers receiving 733 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Derrick K. Rollins United States 14 324 196 109 105 104 68 761
Grégory François Switzerland 16 583 1.8× 43 0.2× 27 0.2× 19 0.2× 30 0.3× 52 920
Itziar Irigoien Spain 11 68 0.2× 32 0.2× 11 0.1× 12 0.1× 10 0.1× 30 408
Marcelo Espinoza Belgium 10 83 0.3× 74 0.4× 26 0.2× 21 0.2× 25 0.2× 14 345
Shan Lu China 10 108 0.3× 57 0.3× 4 0.0× 17 0.2× 20 0.2× 59 477
Yumei Hu China 16 212 0.7× 76 0.4× 10 0.1× 43 0.4× 11 0.1× 50 653
Jingxin Zhang China 12 460 1.4× 6 0.0× 5 0.0× 28 0.3× 22 0.2× 57 763
Matteo Terzi Italy 7 68 0.2× 22 0.1× 7 0.1× 10 0.1× 7 0.1× 17 292
Ravi Gondhalekar United States 20 554 1.7× 650 3.3× 378 3.5× 6 0.1× 591 5.7× 56 1.2k
Xiaoping Zhao China 11 231 0.7× 5 0.0× 8 0.1× 43 0.4× 14 0.1× 34 593
C. R. Cutler Germany 7 1.6k 5.0× 9 0.0× 5 0.0× 16 0.2× 11 0.1× 12 1.7k

Countries citing papers authored by Derrick K. Rollins

Since Specialization
Citations

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

Fields of papers citing papers by Derrick K. Rollins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Derrick K. Rollins. 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 Derrick K. Rollins. The network helps show where Derrick K. Rollins may publish in the future.

Co-authorship network of co-authors of Derrick K. Rollins

This figure shows the co-authorship network connecting the top 25 collaborators of Derrick K. Rollins. A scholar is included among the top collaborators of Derrick K. Rollins 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 Derrick K. Rollins. Derrick K. Rollins 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.
Hurd, David C. & Derrick K. Rollins. (2025). A powerful AI grain moisture sensor approach with demonstration on a real in-bin grain dryer. Smart Agricultural Technology. 12. 101467–101467.
2.
Qi, Yijun, et al.. (2023). Rational design of oral drugs targeting mucosa delivery with gut organoid platforms. Bioactive Materials. 30. 116–128. 11 indexed citations
3.
Rollins, Derrick K., Thomas J. Mansell, Albert E. Jergens, et al.. (2020). TNFα regulates intestinal organoids from mice with both defined and conventional microbiota. International Journal of Biological Macromolecules. 164. 548–556. 8 indexed citations
4.
Rollins, Derrick K., et al.. (2018). Principal component analysis-based predictive modeling and optimization of permanent deformation in asphalt pavement: elimination of correlated inputs and extrapolation in modeling. Structural and Multidisciplinary Optimization. 59(4). 1335–1353. 31 indexed citations
5.
Rollins, Derrick K. & Yong Mei. (2018). A new feedback predictive control approach for processes with time delay in the manipulated variable. Process Safety and Environmental Protection. 136. 806–815. 1 indexed citations
6.
Rollins, Derrick K., et al.. (2016). Block-oriented feedforward control with demonstration to nonlinear parameterized Wiener modeling. Process Safety and Environmental Protection. 109. 397–404. 6 indexed citations
7.
Rollins, Derrick K.. (2015). A One-Dimensional PCA Approach for Classifying Imbalanced Data. Journal of Computer Science & Systems Biology. 8(1). 1 indexed citations
8.
Rollins, Derrick K., et al.. (2015). Dynamic Modeling With Correlated Inputs: Theory, Method, and Experimental Demonstration. Industrial & Engineering Chemistry Research. 54(7). 2136–2144. 8 indexed citations
9.
Çınar, Ali, et al.. (2012). Adaptive system identification for estimating future glucose concentrations and hypoglycemia alarms. Automatica. 48(8). 1892–1897. 62 indexed citations
10.
Rollins, Derrick K., et al.. (2011). An Algorithm for Optimally Fitting a Wiener Model. Mathematical Problems in Engineering. 2011(1). 5 indexed citations
11.
Rollins, Derrick K., et al.. (2010). Non-invasive glucose monitoring from measured inputs. 884–888. 1 indexed citations
12.
Rollins, Derrick K., et al.. (2010). An extended data mining method for identifying differentially expressed assay-specific signatures in functional genomic studies. BioData Mining. 3(1). 11–11. 2 indexed citations
13.
Rollins, Derrick K., et al.. (2008). Block-Oriented Continuous-Time Modelling For Nonlinear Systems Under Sinusoidal Inputs. International Journal of Modelling and Simulation. 28(2). 138–146.
14.
Rollins, Derrick K., et al.. (2007). Spatial-Temporal Semi-Empirical Dynamic Modelling of Thermal Gradient CVI Processes. Process Safety and Environmental Protection. 85(10). 1390–1396. 3 indexed citations
15.
Rollins, Derrick K., et al.. (2006). Optimal Experimental Design for Human Thermoregulatory System Identification. Process Safety and Environmental Protection. 84(11). 1031–1040. 3 indexed citations
16.
Rollins, Derrick K., et al.. (2006). A novel data mining method to identify assay-specific signatures in functional genomic studies. BMC Bioinformatics. 7(1). 377–377. 7 indexed citations
17.
Rollins, Derrick K., et al.. (2002). Measurement bias detection in linear dynamic systems. Computers & Chemical Engineering. 26(9). 1201–1211. 8 indexed citations
18.
Rollins, Derrick K., et al.. (1998). Detecting powder mixture segregation for multicomponent mixtures. Chemical Engineering Science. 53(4). 651–655. 5 indexed citations
19.
Rollins, Derrick K., et al.. (1992). Gross error detection when constraints are bilinear. AIChE Journal. 38(8). 1295–1298. 10 indexed citations
20.
Rollins, Derrick K.. (1990). Unbiased estimates of measured process variables when measurement biases and process leaks are present /. OhioLink ETD Center (Ohio Library and Information Network). 4 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Grégory François Breakdown of academic impact, for papers by Itziar Irigoien Breakdown of academic impact, for papers by Marcelo Espinoza Breakdown of academic impact, for papers by Shan Lu Breakdown of academic impact, for papers by Yumei Hu Breakdown of academic impact, for papers by Jingxin Zhang Breakdown of academic impact, for papers by Matteo Terzi Breakdown of academic impact, for papers by Ravi Gondhalekar Breakdown of academic impact, for papers by Xiaoping Zhao Breakdown of academic impact, for papers by C. R. Cutler
Rankless by CCL
2026