Francisco Rossomando

764 total citations
51 papers, 555 citations indexed

About

Francisco Rossomando is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Francisco Rossomando has authored 51 papers receiving a total of 555 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Control and Systems Engineering, 14 papers in Computer Vision and Pattern Recognition and 6 papers in Computer Networks and Communications. Recurrent topics in Francisco Rossomando's work include Adaptive Control of Nonlinear Systems (31 papers), Robotic Path Planning Algorithms (14 papers) and Control and Dynamics of Mobile Robots (14 papers). Francisco Rossomando is often cited by papers focused on Adaptive Control of Nonlinear Systems (31 papers), Robotic Path Planning Algorithms (14 papers) and Control and Dynamics of Mobile Robots (14 papers). Francisco Rossomando collaborates with scholars based in Argentina, Mexico and Brazil. Francisco Rossomando's co-authors include Carlos Soria, Ricardo Carelli, Claudio Rosales, Gustavo Scaglia, Eduardo Oliveira Freire, Vicente Mut, Oscar A. Ortiz, Mário Sarcinelli-Filho, Mario Emanuel Serrano and Javier Moreno–Valenzuela and has published in prestigious journals such as IEEE Access, Industrial & Engineering Chemistry Research and Sensors.

In The Last Decade

Francisco Rossomando

43 papers receiving 539 citations

Peers

Francisco Rossomando

CSE

CVPR

Yifan Liu China

Gustavo Scaglia Argentina

Mingchao Zhu China

C.W. de Silva Canada

Juan Aparicio Ojea United States

S. R. Munasinghe Sri Lanka

George K. Fourlas Greece

Chris J. Ostafew Canada

Uriel H. Hernandez-Belmonte Mexico

Brahim Cherki Algeria

Yifan Liu China

Francisco Rossomando

170 ×0.4

CSE

113 ×0.8

CVPR

38 ×0.4

47 ×0.7

60 ×0.9

Citations per year, relative to Francisco Rossomando Francisco Rossomando (= 1×) peers Yifan Liu

Countries citing papers authored by Francisco Rossomando

Since Specialization

Citations

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

Fields of papers citing papers by Francisco Rossomando

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francisco Rossomando

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

Rossomando, Francisco, et al.. (2025). Neural networks meet PID control: Revolutionizing manipulator regulation with gravitational compensation. 32. 100306–100306. 1 indexed citations

Rossomando, Francisco, et al.. (2024). A novel methodology to obtain optimal economic indicators based on the Argentinean production chain under uncertainty. Production. 34.

Slawiñski, Emanuel, et al.. (2024). LSTM network in bilateral teleoperation of a skid-steering robot. Neurocomputing. 602. 128248–128248. 2 indexed citations

Moreno–Valenzuela, Javier, et al.. (2023). Design and Analysis of an Input–Output Linearization-Based Trajectory Tracking Controller for Skid-Steering Mobile Robots. Machines. 11(11). 988–988. 6 indexed citations

Rossomando, Francisco, et al.. (2022). An Adaptive Neuro-Fuzzy PID Controller Approach for thermal Systems: An Experimental Validation. 61. 1–5.

Rossomando, Francisco, Claudio Rosales, Carlos Soria, Daniel Gandolfo, & Ricardo Carelli. (2021). Adaptive tracking control for a UAV with neural adaptive compensation using SMC. 1218–1224. 1 indexed citations

Rossomando, Francisco, et al.. (2021). Trajectory tracking control of Autonomous Marine Vessel using Neuro-Adaptive Sliding Mode Contro. IEEE Latin America Transactions. 19(5). 763–771.

Fernández, Cecilia, et al.. (2021). Open-Loop Dynamic Optimization for Nonlinear Multi-Input Systems. Application to Recombinant Protein Production. IEEE Latin America Transactions. 19(8). 1307–1314. 7 indexed citations

Rossomando, Francisco, et al.. (2018). A Closed‐Loop Control Strategy for Producing Nitrile Rubber of Uniform Chemical Composition in a Semibatch Reactor: A Simulation Study. Macromolecular Reaction Engineering. 12(2). 5 indexed citations

10.

Rosales, Claudio, Francisco Rossomando, Carlos Soria, & Ricardo Carelli. (2018). Neural control of a Quadrotor: A state-observer based approach. 647–653. 4 indexed citations

11.

Serrano, Mario Emanuel, et al.. (2017). Multivariable Control for Tracking Optimal Profiles in a Nonlinear Fed-Batch Bioprocess Integrated with State Estimation. Industrial & Engineering Chemistry Research. 56(20). 6043–6056. 18 indexed citations

12.

Rossomando, Francisco & Carlos Soria. (2016). Discrete-time sliding mode neuro-adaptive controller for SCARA robot arm. Neural Computing and Applications. 28(12). 3837–3850. 14 indexed citations

13.

Rossomando, Francisco & Carlos Soria. (2014). Identification and control of nonlinear dynamics of a mobile robot in discrete time using an adaptive technique based on neural PID. Neural Computing and Applications. 26(5). 1179–1191. 36 indexed citations

14.

Rossomando, Francisco, Carlos Soria, & Ricardo Carelli. (2013). Discrete neural compensator algorithm of dynamic in mobile robots using extended Kalman filter. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 1 indexed citations

15.

Rossomando, Francisco, Carlos Soria, & Ricardo Carelli. (2013). Sliding Mode Neuro Adaptive Control in Trajectory Tracking for Mobile Robots. Journal of Intelligent & Robotic Systems. 74(3-4). 931–944. 66 indexed citations

16.

Rossomando, Francisco, Carlos Soria, & Ricardo Carelli. (2012). Neural network-based compensation control of mobile robots with partially known structure. IET Control Theory and Applications. 6(12). 1851–1860. 23 indexed citations

17.

Rossomando, Francisco, et al.. (2011). MODEL REFERENCE ADAPTIVE CONTROL FOR MOBILE ROBOTS IN TRAJECTORY TRACKING USING RADIAL BASIS FUNCTION NEURAL NETWORKS. Latin American Applied Research - An international journal. 41(2). 177–182. 7 indexed citations

18.

Rossomando, Francisco, Carlos Soria, & Ricardo Carelli. (2011). Adaptive Neural Dynamic Compensator for Mobile Robots in Trajectory tracking control. IEEE Latin America Transactions. 9(5). 593–602. 15 indexed citations

19.

Rossomando, Francisco, et al.. (2006). Modelling and control of a hot rolling mill. Latin American Applied Research - An international journal. 36(3). 199–204. 5 indexed citations

20.

Cipriano, Aldo, et al.. (2002). ADVANCED MODEL BASED PROCESS SUPERVISION IN HOT STEEL MILLING. IFAC Proceedings Volumes. 35(1). 425–430. 1 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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