Fábio Lima

538 total citations · 1 hit paper
39 papers, 356 citations indexed

About

Fábio Lima is a scholar working on Industrial and Manufacturing Engineering, Electrical and Electronic Engineering and Control and Systems Engineering. According to data from OpenAlex, Fábio Lima has authored 39 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Industrial and Manufacturing Engineering, 9 papers in Electrical and Electronic Engineering and 8 papers in Control and Systems Engineering. Recurrent topics in Fábio Lima's work include Digital Transformation in Industry (12 papers), Energy Efficiency and Management (7 papers) and Flexible and Reconfigurable Manufacturing Systems (7 papers). Fábio Lima is often cited by papers focused on Digital Transformation in Industry (12 papers), Energy Efficiency and Management (7 papers) and Flexible and Reconfigurable Manufacturing Systems (7 papers). Fábio Lima collaborates with scholars based in Brazil, Australia and Finland. Fábio Lima's co-authors include Rodrigo Filev Maia, Plínio Thomaz Aquino, Juha-Pekka Soininen, Ivan Nunes da Silva, Carlos Kamienski, Azauri Albano de Oliveira, Waldemar Kaiser, Walter Kaiser, CLAUDIA APARECIDA MATTOS and Gabriela Scur and has published in prestigious journals such as Journal of Cleaner Production, IEEE Access and Sustainability.

In The Last Decade

Fábio Lima

33 papers receiving 340 citations

Hit Papers

align trajectories

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.

Development of a Digital Twin for smart farming: Irrigation management system for water saving

2023 87 citations Rodrigo Filev Maia, Fábio Lima et al. Journal of Cleaner Production profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fábio Lima Brazil	9	157	81	55	48	39	39	356
Giacomo Barbieri Colombia	12	251 1.6×	46 0.6×	22 0.4×	60 1.3×	16 0.4×	51	449
Seno Darmawan Panjaitan Indonesia	10	94 0.6×	18 0.2×	67 1.2×	40 0.8×	17 0.4×	35	313
Chiara Bersani Italy	10	62 0.4×	118 1.5×	74 1.3×	95 2.0×	20 0.5×	43	392
Shengping Lv China	10	173 1.1×	27 0.3×	45 0.8×	21 0.4×	28 0.7×	18	340
Dennis Jarvis Australia	11	86 0.5×	250 3.1×	107 1.9×	90 1.9×	14 0.4×	36	600
Ivan Beloev Bulgaria	10	27 0.2×	43 0.5×	59 1.1×	45 0.9×	74 1.9×	63	360
Md. Didarul Islam Bangladesh	6	25 0.2×	71 0.9×	166 3.0×	70 1.5×	32 0.8×	12	345
Hua Gong China	10	277 1.8×	26 0.3×	14 0.3×	38 0.8×	65 1.7×	37	427
Davorin Kofjač Slovenia	11	50 0.3×	16 0.2×	47 0.9×	29 0.6×	63 1.6×	30	325

Countries citing papers authored by Fábio Lima

Since Specialization

Citations

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

Fields of papers citing papers by Fábio Lima

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fábio Lima. 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 Fábio Lima. The network helps show where Fábio Lima may publish in the future.

Co-authorship network of co-authors of Fábio Lima

This figure shows the co-authorship network connecting the top 25 collaborators of Fábio Lima. A scholar is included among the top collaborators of Fábio Lima 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 Fábio Lima. Fábio Lima 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

1.

Lima, Fábio, et al.. (2025). Dynamic light optimization in vertical farming using an IoT-driven digital twin framework and artificial intelligence. Applied Soft Computing. 174. 112985–112985.

2.

Lima, Fábio, et al.. (2025). Artificial Neural Network Applied to Virtual Commissioning and Control of a Robotic Cell. IEEE Latin America Transactions. 23(4). 301–311.

3.

MATTOS, CLAUDIA APARECIDA, et al.. (2024). Toward Cleaner Production by Evaluating Opportunities of Saving Energy in a Short-Cycle Time Flowshop. Sustainability. 16(6). 2455–2455. 2 indexed citations

4.

Aquino, Plínio Thomaz, et al.. (2024). Energy Estimation and Production Scheduling in Job Shop Using Machine Learning. IEEE Access. 12. 104177–104189. 3 indexed citations

5.

Maia, Rodrigo Filev, et al.. (2023). Development of a Digital Twin for smart farming: Irrigation management system for water saving. Journal of Cleaner Production. 388. 135920–135920. 87 indexed citations breakdown →

6.

Maia, Rodrigo Filev, et al.. (2022). Discrete-event simulation of an irrigation system using Internet of Things. IEEE Latin America Transactions. 20(6). 941–947. 9 indexed citations

7.

Lima, Fábio, et al.. (2022). Estimation of Energy Consumption in Manufacturing Lines Using Machine Learning into Industry 4.0 Context. 1–7.

8.

Lima, Fábio, et al.. (2022). Reality Capture as a Tool for Digital Integration of the Planned Furniture Industry Measuring Process. 1–13. 2 indexed citations

9.

Lima, Fábio, et al.. (2021). Simulation of the ambulatory processes in the biggest Brazilian cardiology hospital: a petri net approach. Independent Journal of Management & Production. 12(1). 219–240. 1 indexed citations

10.

Maia, Rodrigo Filev, et al.. (2020). Evaluation of OPC-UA communication in an autonomous advanced manufacturing cell implementation. Gestão & Produção. 27(4). 5 indexed citations

11.

Lima, Fábio, et al.. (2020). Calibration equation and field test of a capacitive soil moisture sensor. 180–184. 11 indexed citations

12.

Lima, Fábio, et al.. (2019). Digital Manufacturing Tools in the Simulation of Collaborative Robots: Towards Industry 4.0. Brazilian Journal of Operations & Production Management. 16(2). 261–280. 25 indexed citations

13.

Lima, Fábio, et al.. (2018). Fractional PID Controller Applied to a Chemical Plant with Level and pH Control. Chemical Product and Process Modeling. 13(4). 11 indexed citations

14.

Maia, Rodrigo Filev, et al.. (2017). Innovative laboratory model based on partnerships and active learning. 1–5. 5 indexed citations

15.

Lima, Fábio, et al.. (2015). Simulation of a Production Line with Automated Guided Vehicle: A Case Study. Independent Journal of Management & Production. 6(2). 6 indexed citations

16.

Lima, Fábio, et al.. (2015). Petri net application in simulation of ambulatory processes. 3. 4696–4701.

17.

Lima, Fábio, et al.. (2014). Automation course for industrial engineers: an approach based on petri nets, software tools and laboratory experiments. International journal of engineering education. 30(5). 1271–1279. 2 indexed citations

18.

Lima, Fábio, et al.. (2014). Open-loop neuro-fuzzy speed estimator applied to vector and scalar induction motor drives. Applied Soft Computing. 21. 469–480. 15 indexed citations

19.

Lima, Fábio, Waldemar Kaiser, Ivan Nunes da Silva, & Azauri Albano de Oliveira. (2012). Speed Neuro-fuzzy Estimator Applied To Sensorless Induction Motor Control. IEEE Latin America Transactions. 10(5). 2065–2073. 22 indexed citations

20.

Lima, Fábio, et al.. (2012). Development of a high-speed turbo-generator supported by active magnetic bearings. 2232–2237. 5 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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