Claudio Gaz

693 total citations
20 papers, 505 citations indexed

About

Claudio Gaz is a scholar working on Control and Systems Engineering, Mechanical Engineering and Surgery. According to data from OpenAlex, Claudio Gaz has authored 20 papers receiving a total of 505 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Control and Systems Engineering, 7 papers in Mechanical Engineering and 5 papers in Surgery. Recurrent topics in Claudio Gaz's work include Robot Manipulation and Learning (6 papers), Robotic Mechanisms and Dynamics (4 papers) and Diabetes Management and Research (4 papers). Claudio Gaz is often cited by papers focused on Robot Manipulation and Learning (6 papers), Robotic Mechanisms and Dynamics (4 papers) and Diabetes Management and Research (4 papers). Claudio Gaz collaborates with scholars based in Italy, United Kingdom and United States. Claudio Gaz's co-authors include Alessandro De Luca, Paolo Robuffo Giordano, Marco Cognetti, Fabrizio Flacco, Emanuele Magrini, Andrea De Gaetano, Simona Panunzi, Pasquale Palumbo, Marilena Vendittelli and Stefano Mancuso and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Medical Systems.

In The Last Decade

Claudio Gaz

19 papers receiving 490 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Claudio Gaz Italy 10 356 169 157 68 39 20 505
Saïd Zeghloul France 11 238 0.7× 267 1.6× 90 0.6× 92 1.4× 27 0.7× 44 411
Ashish Singla India 12 210 0.6× 264 1.6× 83 0.5× 46 0.7× 23 0.6× 40 493
Divya Shah Italy 6 595 1.7× 361 2.1× 143 0.9× 50 0.7× 71 1.8× 14 695
Tae-Yong Choi South Korea 11 197 0.6× 239 1.4× 119 0.8× 60 0.9× 36 0.9× 78 428
Juan Rojas China 11 176 0.5× 107 0.6× 58 0.4× 114 1.7× 49 1.3× 41 360
Emanuele Magrini Italy 9 378 1.1× 208 1.2× 165 1.1× 74 1.1× 86 2.2× 9 505
Qilong Yuan Singapore 10 90 0.3× 171 1.0× 63 0.4× 69 1.0× 20 0.5× 30 358
R. Koeppe Germany 10 381 1.1× 229 1.4× 203 1.3× 61 0.9× 57 1.5× 31 501
Daniel Kubus Germany 10 207 0.6× 118 0.7× 111 0.7× 40 0.6× 29 0.7× 32 296
Leo Stocco Canada 11 252 0.7× 155 0.9× 125 0.8× 43 0.6× 79 2.0× 20 394

Countries citing papers authored by Claudio Gaz

Since Specialization
Citations

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

Fields of papers citing papers by Claudio Gaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claudio Gaz

This figure shows the co-authorship network connecting the top 25 collaborators of Claudio Gaz. A scholar is included among the top collaborators of Claudio Gaz 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 Claudio Gaz. Claudio Gaz 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.
Gaz, Claudio, et al.. (2025). Consumer electronic redesign for automated disassembly using general-purpose robots. Proceedings of the Design Society. 5. 1031–1040.
2.
Gaz, Claudio, et al.. (2022). . arXiv (Cornell University). 9 indexed citations
3.
Gaz, Claudio, et al.. (2021). On-Line Learning for Planning and Control of Underactuated Robots With Uncertain Dynamics. IEEE Robotics and Automation Letters. 7(1). 358–365. 11 indexed citations
4.
Gaz, Claudio, et al.. (2021). Online Needle-Tissue Interaction Model Identification for Force Feedback Enhancement in Robot-Assisted Interventional Procedures. IEEE Transactions on Medical Robotics and Bionics. 3(4). 936–947. 12 indexed citations
5.
Gaz, Claudio, et al.. (2020). Detection and isolation of actuator faults and collisions for a flexible robot arm. IRIS Research product catalog (Sapienza University of Rome). 2684–2689. 1 indexed citations
6.
Gaetano, Andrea De, Claudio Gaz, & Simona Panunzi. (2019). Consistency of compact and extended models of glucose-insulin homeostasis: The role of variable pancreatic reserve. PLoS ONE. 14(2). e0211331–e0211331. 6 indexed citations
7.
Gaz, Claudio, et al.. (2019). An Online Learning Procedure for Feedback Linearization Control without Torque Measurements. Research Repository (Kingston University London). 1359–1368. 6 indexed citations
8.
Gaz, Claudio, et al.. (2019). Dynamic Identification of the Franka Emika Panda Robot With Retrieval of Feasible Parameters Using Penalty-Based Optimization. IEEE Robotics and Automation Letters. 4(4). 4147–4154. 208 indexed citations
9.
Gaz, Claudio, Emanuele Magrini, & Alessandro De Luca. (2018). A model-based residual approach for human-robot collaboration during manual polishing operations. Mechatronics. 55. 234–247. 71 indexed citations
10.
Gaz, Claudio, et al.. (2018). Enhancing Force Feedback in Teleoperated Needle Insertion Through On-Line Identification of the Needle-Tissue Interaction Parameters. IRIS Research product catalog (Sapienza University of Rome). 33. 79–85. 4 indexed citations
11.
Gaz, Claudio, Andrea De Gaetano, Costanzo Manes, et al.. (2017). Effective Control of Glycemia using a Simple Discrete-delay Model. IFAC-PapersOnLine. 50(1). 13526–13531. 3 indexed citations
12.
Gaz, Claudio & Alessandro De Luca. (2017). Payload estimation based on identified coefficients of robot dynamics — With an application to collision detection. IRIS Research product catalog (Sapienza University of Rome). 3033–3040. 24 indexed citations
13.
Borri, Alessandro, Simona Panunzi, Daniele Gui, et al.. (2016). Simulation of Trauma Incidents. Journal of Medical Systems. 40(11). 234–234. 1 indexed citations
14.
Gaz, Claudio, Fabrizio Flacco, & Alessandro De Luca. (2016). Extracting feasible robot parameters from dynamic coefficients using nonlinear optimization methods. IRIS Research product catalog (Sapienza University of Rome). 2075–2081. 33 indexed citations
15.
Gaetano, Andrea De, Claudio Gaz, Pasquale Palumbo, & Simona Panunzi. (2015). A Unifying Organ Model of Pancreatic Insulin Secretion. PLoS ONE. 10(11). e0142344–e0142344. 14 indexed citations
16.
Borri, Alessandro, Paolo Soave, Daniele Gui, et al.. (2015). Modelling and Simulation for Major Incidents. SHILAP Revista de lepidopterología. 1(4). e3–e3. 1 indexed citations
17.
Gaz, Claudio, Fabrizio Flacco, & Alessandro De Luca. (2014). Identifying the dynamic model used by the KUKA LWR: A reverse engineering approach. IRIS Research product catalog (Sapienza University of Rome). 1386–1392. 68 indexed citations
18.
Gaetano, Andrea De, et al.. (2013). An islet population model of pancreatic insulin production. BOA (University of Milano-Bicocca). 293. 3355–3360. 3 indexed citations
19.
Gaz, Claudio, et al.. (2013). Plants as sensing devices. IRIS Research product catalog (Sapienza University of Rome). 1–2. 20 indexed citations
20.
Gaz, Claudio, George Cremona, Simona Panunzi, Beverley Patterson, & Andrea De Gaetano. (2012). A geometrical approach to the PKPD modelling of inhaled bronchodilators. Journal of Pharmacokinetics and Pharmacodynamics. 39(5). 415–428. 10 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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