A.G. Marchetti

1.1k total citations
42 papers, 872 citations indexed

About

A.G. Marchetti is a scholar working on Control and Systems Engineering, Computational Theory and Mathematics and Mechanical Engineering. According to data from OpenAlex, A.G. Marchetti has authored 42 papers receiving a total of 872 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Control and Systems Engineering, 5 papers in Computational Theory and Mathematics and 4 papers in Mechanical Engineering. Recurrent topics in A.G. Marchetti's work include Advanced Control Systems Optimization (35 papers), Fault Detection and Control Systems (22 papers) and Process Optimization and Integration (17 papers). A.G. Marchetti is often cited by papers focused on Advanced Control Systems Optimization (35 papers), Fault Detection and Control Systems (22 papers) and Process Optimization and Integration (17 papers). A.G. Marchetti collaborates with scholars based in Switzerland, Argentina and Germany. A.G. Marchetti's co-authors include Dominique Bonvin, Benoît Chachuat, Timm Faulwasser, Grégory François, Alejandro H. González, Antonio Ferramosca, David Zumoffen, Mehmet Mercangöz, Andrea Cortinovis and Zacharie Wuillemin and has published in prestigious journals such as Journal of Power Sources, Applied Energy and Industrial & Engineering Chemistry Research.

In The Last Decade

A.G. Marchetti

42 papers receiving 836 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
A.G. Marchetti Switzerland	14	716	79	78	66	52	42	872
Calvin Tsay United States	17	422 0.6×	82 1.0×	173 2.2×	110 1.7×	49 0.9×	37	725
J. Viswanathan United States	5	628 0.9×	117 1.5×	83 1.1×	36 0.5×	51 1.0×	10	779
David Rincón United States	13	664 0.9×	28 0.4×	71 0.9×	94 1.4×	31 0.6×	31	858
Coleman Brosilow United States	16	1.3k 1.7×	49 0.6×	115 1.5×	98 1.5×	23 0.4×	47	1.4k
Yidong Lang Germany	12	230 0.3×	75 0.9×	75 1.0×	187 2.8×	18 0.3×	28	592
John P. Eason United States	12	205 0.3×	145 1.8×	213 2.7×	30 0.5×	31 0.6×	20	549
Mark L. Darby United States	7	666 0.9×	28 0.4×	78 1.0×	57 0.9×	35 0.7×	12	744
Mattia Vallerio Belgium	11	267 0.4×	86 1.1×	28 0.4×	31 0.5×	19 0.4×	21	381
Mohammed Saad Faizan Bangi United States	9	259 0.4×	22 0.3×	70 0.9×	42 0.6×	31 0.6×	11	496
Ignacio Quesada United States	5	496 0.7×	159 2.0×	44 0.6×	45 0.7×	34 0.7×	7	671

Countries citing papers authored by A.G. Marchetti

Since Specialization

Citations

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

Fields of papers citing papers by A.G. Marchetti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A.G. Marchetti. 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 A.G. Marchetti. The network helps show where A.G. Marchetti may publish in the future.

Co-authorship network of co-authors of A.G. Marchetti

This figure shows the co-authorship network connecting the top 25 collaborators of A.G. Marchetti. A scholar is included among the top collaborators of A.G. Marchetti 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 A.G. Marchetti. A.G. Marchetti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Marchetti, A.G., et al.. (2024). A shortcut model for batch distillation columns using pertinent effective factors. Chemical Engineering Science. 304. 120978–120978. 1 indexed citations

Marchetti, A.G.. (2022). Feasibility in real-time optimization under model uncertainty. The use of Lipschitz bounds. Computers & Chemical Engineering. 168. 108057–108057. 1 indexed citations

Marchetti, A.G., et al.. (2020). Real-time optimization of load sharing for gas compressors in the presence of uncertainty. Applied Energy. 272. 114883–114883. 24 indexed citations

Marchetti, A.G., et al.. (2020). Modifier Adaptation as a Feedback Control Scheme. Industrial & Engineering Chemistry Research. 59(6). 2261–2274. 15 indexed citations

Wuillemin, Zacharie, et al.. (2019). Fast RTO Applied to a Commercial SOFC System. IFAC-PapersOnLine. 52(1). 40–45. 4 indexed citations

Marchetti, A.G., et al.. (2018). Analysis of output modifier adaptation for real-time optimization. Computers & Chemical Engineering. 121. 285–293. 13 indexed citations

Marchetti, A.G., et al.. (2017). Improved Directional Derivatives for Modifier-Adaptation Schemes. IFAC-PapersOnLine. 50(1). 5718–5723. 8 indexed citations

Marchetti, A.G., Timm Faulwasser, & Dominique Bonvin. (2017). A feasible-side globally convergent modifier-adaptation scheme. Journal of Process Control. 54. 38–46. 23 indexed citations

François, Grégory, et al.. (2017). Use of Transient Measurements for Static Real-Time Optimization. IFAC-PapersOnLine. 50(1). 5737–5742. 16 indexed citations

10.

Marchetti, A.G., et al.. (2016). Real-Time Optimization Based on Adaptation of Surrogate Models. IFAC-PapersOnLine. 49(7). 412–417. 10 indexed citations

11.

Faulwasser, Timm, et al.. (2016). Time-optimal path-following operation in the presence of uncertainty. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 29 6. 2228–2233. 6 indexed citations

12.

Zumoffen, David, et al.. (2016). Economic plant-wide control design with backoff estimations using internal model control. Journal of Process Control. 40. 93–105. 11 indexed citations

13.

Marchetti, A.G., et al.. (2016). Modifier adaptation with guaranteed feasibility in the presence of gradient uncertainty. Computers & Chemical Engineering. 98. 61–69. 8 indexed citations

14.

Marchetti, A.G., Grégory François, Timm Faulwasser, & Dominique Bonvin. (2016). Modifier Adaptation for Real-Time Optimization—Methods and Applications. Processes. 4(4). 55–55. 100 indexed citations

15.

Marchetti, A.G. & David Zumoffen. (2013). On the links between real-time optimization, neighboring-extremal control, and self-optimizing control. 4466–4471. 4 indexed citations

16.

Marchetti, A.G.. (2013). A new dual modifier-adaptation approach for iterative process optimization with inaccurate models. Computers & Chemical Engineering. 59. 89–100. 19 indexed citations

17.

Marchetti, A.G., Antonio Ferramosca, & Alejandro H. González. (2013). Steady-state target optimization designs for integrating real-time optimization and model predictive control. Journal of Process Control. 24(1). 129–145. 59 indexed citations

18.

Marchetti, A.G., et al.. (2011). Real-Time Optimization via Modifier Adaptation Integrated with Model Predictive Control. IFAC Proceedings Volumes. 44(1). 9856–9861. 7 indexed citations

19.

Marchetti, A.G., Benoît Chachuat, & Dominique Bonvin. (2009). Modifier-Adaptation Methodology for Real-Time Optimization. Industrial & Engineering Chemistry Research. 48(13). 6022–6033. 221 indexed citations

20.

Chachuat, Benoît, A.G. Marchetti, & Dominique Bonvin. (2007). Process optimization via constraints adaptation. Journal of Process Control. 18(3-4). 244–257. 61 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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