Leizer Schnitman

616 total citations
60 papers, 425 citations indexed

About

Leizer Schnitman is a scholar working on Control and Systems Engineering, Ocean Engineering and Artificial Intelligence. According to data from OpenAlex, Leizer Schnitman has authored 60 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Control and Systems Engineering, 23 papers in Ocean Engineering and 17 papers in Artificial Intelligence. Recurrent topics in Leizer Schnitman's work include Oil and Gas Production Techniques (19 papers), Reservoir Engineering and Simulation Methods (17 papers) and Fault Detection and Control Systems (12 papers). Leizer Schnitman is often cited by papers focused on Oil and Gas Production Techniques (19 papers), Reservoir Engineering and Simulation Methods (17 papers) and Fault Detection and Control Systems (12 papers). Leizer Schnitman collaborates with scholars based in Brazil, Portugal and Norway. Leizer Schnitman's co-authors include Herman Augusto Lepikson, J. A. M. Felippe de Souza, Luciano Oliveira, Urbano Nunes, Oswaldo Ludwig, Andrews Sobral, Rui Araújo, Márcio Fontana, Idelfonso B. R. Nogueira and Carine Menezes Rebello and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Industrial & Engineering Chemistry Research.

In The Last Decade

Leizer Schnitman

51 papers receiving 394 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Leizer Schnitman Brazil 11 160 149 86 66 59 60 425
Amar Khoukhi Saudi Arabia 13 211 1.3× 161 1.1× 97 1.1× 149 2.3× 43 0.7× 49 463
Yunwei Zhang China 8 145 0.9× 72 0.5× 31 0.4× 66 1.0× 78 1.3× 19 407
Lars Ivar Hatledal Norway 14 155 1.0× 111 0.7× 28 0.3× 87 1.3× 26 0.4× 31 402
Ali Alizadeh Iran 11 142 0.9× 49 0.3× 26 0.3× 54 0.8× 86 1.5× 24 353
Changyun Wei China 12 89 0.6× 74 0.5× 160 1.9× 64 1.0× 123 2.1× 45 508
Zhiyuan Sun China 15 110 0.7× 143 1.0× 99 1.2× 173 2.6× 29 0.5× 39 481
Xinxin Yan China 11 83 0.5× 40 0.3× 74 0.9× 92 1.4× 31 0.5× 19 374
Jiaxin Wang China 12 70 0.4× 47 0.3× 53 0.6× 36 0.5× 34 0.6× 57 415
Zhijian Huang China 8 65 0.4× 82 0.6× 49 0.6× 36 0.5× 27 0.5× 20 306
O. Begovich Mexico 11 210 1.3× 83 0.6× 16 0.2× 117 1.8× 37 0.6× 75 532

Countries citing papers authored by Leizer Schnitman

Since Specialization
Citations

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

Fields of papers citing papers by Leizer Schnitman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leizer Schnitman

This figure shows the co-authorship network connecting the top 25 collaborators of Leizer Schnitman. A scholar is included among the top collaborators of Leizer Schnitman 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 Leizer Schnitman. Leizer Schnitman 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.
Rebello, Carine Menezes, et al.. (2025). Application of Recurrent Neural Networks for Predictive Modeling of Electrical Submersible Pumps in Oil Extraction. IFAC-PapersOnLine. 59(1). 49–54.
3.
Rebello, Carine Menezes, et al.. (2025). Standard MPC and Inputs-Target MPC implementation comparison in ESP systems. IFAC-PapersOnLine. 59(6). 91–96.
5.
Schnitman, Leizer, et al.. (2024). Experimental evaluation of soft sensors in an electrical submersible pump system: Validation in an ESP-lifted oil well pilot plant. Geoenergy Science and Engineering. 240. 213033–213033. 2 indexed citations
6.
Rebello, Carine Menezes, et al.. (2024). An uncertainty approach for Electric Submersible Pump modeling through Deep Neural Network. Heliyon. 10(2). e24047–e24047. 6 indexed citations
7.
Schnitman, Leizer, et al.. (2024). Simple control structure for stabilizing Core Annular Flow operation in heavy oil transportation. Computers & Chemical Engineering. 194. 108978–108978.
8.
Fontana, Márcio, et al.. (2022). A new method for the vibration amplitude assessment of the ESP systems considering the vibration orbit. Journal of Petroleum Science and Engineering. 211. 110214–110214. 4 indexed citations
9.
Rebello, Carine Menezes, et al.. (2022). Mapping Uncertainties of Soft-Sensors Based on Deep Feedforward Neural Networks through a Novel Monte Carlo Uncertainties Training Process. Processes. 10(2). 409–409. 7 indexed citations
10.
Schnitman, Leizer, et al.. (2021). A Solution of the Inverse Kinematics Problem for a 7-Degrees-of-Freedom Serial Redundant Manipulator Using Gröbner Bases Theory. Mathematical Problems in Engineering. 2021. 1–14. 4 indexed citations
11.
Schnitman, Leizer, et al.. (2021). Analysis of computational efficiency for the solution of inverse kinematics problem of anthropomorphic robots using Gröbner bases theory. International Journal of Advanced Robotic Systems. 18(1). 4 indexed citations
12.
Schnitman, Leizer, et al.. (2018). Fuzzy Maneuvering Controller applied to a Dynamic Model of a Differential Drive Mobile Robot. 2. 1–8. 3 indexed citations
13.
Reis, Marco S., et al.. (2017). Functional FMECA method applied to autonomous underwater vehicle development. 1 indexed citations
14.
Schnitman, Leizer, et al.. (2010). Model Reference Adaptive Control Applied to the Improvement of the Operational Conditions of a Sucker Rod Pump System. IFAC Proceedings Volumes. 43(17). 231–236. 3 indexed citations
15.
16.
Souza, J. A. M. Felippe de, et al.. (2009). Artificial Neural Networks for Pattern Recognition in Oil Rod Pump System Anomalies.. International Conference on Artificial Intelligence. 8–14. 3 indexed citations
17.
Schnitman, Leizer, et al.. (2009). Using artificial neural networks for pattern recognition of downhole dynamometer card in oil rod pump system. International Conference on Artificial Intelligence. 230–235. 10 indexed citations
18.
19.
Ludwig, Oswaldo, et al.. (2004). A comparative analysis between conventional approaches and connectionist methods in pattern recognition tasks. 639–644. 1 indexed citations
20.
Ludwig, Oswaldo, Leizer Schnitman, & Herman Augusto Lepikson. (2004). A hybrid neural architecture for fuzzy rules extraction. IEEE Latin America Transactions. 2(2). 126–131. 2 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

Rankless by CCL
2026