A.I. Lygeros

626 total citations
19 papers, 495 citations indexed

About

A.I. Lygeros is a scholar working on Control and Systems Engineering, Mechanical Engineering and Biomedical Engineering. According to data from OpenAlex, A.I. Lygeros has authored 19 papers receiving a total of 495 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Control and Systems Engineering, 7 papers in Mechanical Engineering and 6 papers in Biomedical Engineering. Recurrent topics in A.I. Lygeros's work include Fault Detection and Control Systems (8 papers), Advanced Control Systems Optimization (6 papers) and Process Optimization and Integration (6 papers). A.I. Lygeros is often cited by papers focused on Fault Detection and Control Systems (8 papers), Advanced Control Systems Optimization (6 papers) and Process Optimization and Integration (6 papers). A.I. Lygeros collaborates with scholars based in Greece, Sweden and Germany. A.I. Lygeros's co-authors include Kostis Magoulas, N. Markatos, George Arampatzis, Stavros Papadokonstantakis, Ioannis K. Kookos, N.C. Markatos, Christos Boukouvalas, Georgia D. Pappa, Dimitrios P. Tassios and Konstantinos G. Arvanitis and has published in prestigious journals such as Industrial & Engineering Chemistry Research, Chemical Engineering Science and AIChE Journal.

In The Last Decade

A.I. Lygeros

19 papers receiving 468 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
A.I. Lygeros Greece	12	141	133	127	103	79	19	495
Marie‐Noëlle Pons France	11	46 0.3×	134 1.0×	120 0.9×	53 0.5×	20 0.3×	30	466
Michel Cabassud France	17	119 0.8×	323 2.4×	425 3.3×	111 1.1×	66 0.8×	44	841
Chandra Mouli R. Madhuranthakam Canada	13	140 1.0×	99 0.7×	127 1.0×	33 0.3×	19 0.2×	39	466
Shaojun Ren China	17	132 0.9×	242 1.8×	80 0.6×	37 0.4×	32 0.4×	52	756
Brian Roffel Netherlands	16	293 2.1×	192 1.4×	253 2.0×	21 0.2×	62 0.8×	42	786
Emanuel Negrão Macêdo Brazil	15	45 0.3×	243 1.8×	208 1.6×	110 1.1×	20 0.3×	82	585
Muhammad Ahsan Pakistan	12	48 0.3×	171 1.3×	125 1.0×	64 0.6×	22 0.3×	50	496
Shouyan Chen China	18	105 0.7×	228 1.7×	400 3.1×	36 0.3×	28 0.4×	68	768
Jin Zhou China	15	271 1.9×	319 2.4×	80 0.6×	14 0.1×	45 0.6×	72	751
Fatola Farhadi Iran	15	85 0.6×	433 3.3×	145 1.1×	137 1.3×	11 0.1×	31	688

Countries citing papers authored by A.I. Lygeros

Since Specialization

Citations

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

Fields of papers citing papers by A.I. Lygeros

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A.I. Lygeros

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

All Works

Sort: Min cites: Since: Top N: Style:

19 of 19 papers shown

Lygeros, A.I., et al.. (2011). The Use of Fuel Gas as Stripping Medium in Atmospheric Distillation of Crude Oil. Oil & Gas Science and Technology – Revue d’IFP Energies nouvelles. 66(6). 1017–1024. 1 indexed citations

Papadokonstantakis, Stavros, A.I. Lygeros, & Sven P. Jacobsson. (2005). Comparison of recent methods for inference of variable influence in neural networks. Neural Networks. 19(4). 500–513. 28 indexed citations

Lygeros, A.I., et al.. (2005). A Multi-Criteria and Fuzzy Logic Based Methodology for the Relative Ranking of the Fire Hazard of Chemical Substances and Installations. Process Safety and Environmental Protection. 83(2). 122–134. 31 indexed citations

Papadokonstantakis, Stavros, et al.. (2005). Variable selection and data pre-processing in NN modelling of complex chemical processes. Computers & Chemical Engineering. 29(7). 1647–1659. 20 indexed citations

Voutsas, Epaminondas, et al.. (2004). Thermodynamics of Acid Gas−MDEA−Water Systems. Industrial & Engineering Chemistry Research. 43(11). 2798–2804. 24 indexed citations

Bollas, George M., Stavros Papadokonstantakis, George Arampatzis, et al.. (2004). A Computer-Aided Tool for the Simulation and Optimization of the Combined HDS–FCC Processes. Process Safety and Environmental Protection. 82(7). 881–894. 10 indexed citations

Bollas, George M., et al.. (2003). Using hybrid neural networks in scaling up an FCC model from a pilot plant to an industrial unit. Chemical Engineering and Processing - Process Intensification. 42(8-9). 697–713. 49 indexed citations

Arampatzis, George, et al.. (2001). Modelling of an Industrial Fluid Catalytic Cracking Unit Using Neural Networks. Process Safety and Environmental Protection. 79(2). 137–142. 37 indexed citations

Pappa, Georgia D., et al.. (2001). The selective dissolution/precipitation technique for polymer recycling: a pilot unit application. Resources Conservation and Recycling. 34(1). 33–44. 102 indexed citations

10.

Lygeros, A.I., et al.. (1999). Feedstock atomization effects on FCC riser reactors selectivity. Chemical Engineering Science. 54(22). 5617–5625. 61 indexed citations

11.

Kookos, Ioannis K., A.I. Lygeros, & Konstantinos G. Arvanitis. (1999). On-Line PI Controller Tuning for Integrator/Dead Time Processes. European Journal of Control. 5(1). 19–31. 26 indexed citations

12.

Kookos, Ioannis K. & A.I. Lygeros. (1998). A Multiobjective Framework for the Integrated Process Design and Control. IFAC Proceedings Volumes. 31(11). 631–636. 2 indexed citations

13.

Kookos, Ioannis K. & A.I. Lygeros. (1998). An Algorithmic Method for Control Structure Selection Based on the RGA and RIA Interaction Measures. Process Safety and Environmental Protection. 76(4). 458–464. 8 indexed citations

14.

Lygeros, A.I., et al.. (1997). Simulation and design of fluid catalytic‐cracking riser‐type reactors. AIChE Journal. 43(2). 486–494. 40 indexed citations

15.

Frangopoulos, Christos A., et al.. (1996). Thermoeconomic operation optimization of the Hellenic Aspropyrgos Refinery combined-cycle cogeneration system. Applied Thermal Engineering. 16(12). 949–958. 30 indexed citations

16.

Lygeros, A.I., et al.. (1996). Simulation and design of Fluid-Catalytic Cracking riser-type reactors. Computers & Chemical Engineering. 20. S757–S762. 14 indexed citations

17.

Lygeros, A.I., et al.. (1989). Predicting H/sub 2/S-MEA equilibria. Hydrocarbon Process. 2 indexed citations

18.

Lygeros, A.I. & Kostis Magoulas. (1986). Column flooding and entrainment. [Estimation of maximum allowable vapor velocity and entrainment in a distillation column]. Hydrocarbon Process. 2 indexed citations

19.

Lygeros, A.I. & Kostis Magoulas. (1986). COLUMN FLOODING AND ENTRAINMENT.. DSpace - NTUA (National Technical University of Athens). 8 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