Tobia Marcucci

408 total citations
10 papers, 205 citations indexed

About

Tobia Marcucci is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Aerospace Engineering. According to data from OpenAlex, Tobia Marcucci has authored 10 papers receiving a total of 205 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Control and Systems Engineering, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Aerospace Engineering. Recurrent topics in Tobia Marcucci's work include Robotic Path Planning Algorithms (4 papers), Robotics and Sensor-Based Localization (3 papers) and Advanced Control Systems Optimization (2 papers). Tobia Marcucci is often cited by papers focused on Robotic Path Planning Algorithms (4 papers), Robotics and Sensor-Based Localization (3 papers) and Advanced Control Systems Optimization (2 papers). Tobia Marcucci collaborates with scholars based in United States and Italy. Tobia Marcucci's co-authors include Russ Tedrake, Marco Gabiccini, Pablo A. Parrilo, Antonio Bicchi, Robin Deits, Alessio Artoni, Stephen Boyd, P. Werner, Daniela Rus and Cosimo Della Santina and has published in prestigious journals such as IEEE Transactions on Robotics, SIAM Journal on Optimization and Science Robotics.

In The Last Decade

Tobia Marcucci

10 papers receiving 199 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tobia Marcucci United States	8	125	111	48	35	28	10	205
Jung-Su Ha South Korea	10	104 0.8×	115 1.0×	26 0.5×	53 1.5×	54 1.9×	27	216
Kiattisin Kanjanawanishkul Thailand	10	177 1.4×	176 1.6×	57 1.2×	22 0.6×	25 0.9×	27	299
Zenon Hendzel Poland	7	70 0.6×	164 1.5×	39 0.8×	47 1.3×	18 0.6×	38	218
Lebsework Negash Lemma Ethiopia	8	44 0.4×	140 1.3×	17 0.4×	30 0.9×	39 1.4×	12	222
Jennifer E. King United States	8	170 1.4×	178 1.6×	32 0.7×	94 2.7×	41 1.5×	9	245
Marco Morales United States	9	165 1.3×	69 0.6×	14 0.3×	30 0.9×	97 3.5×	28	202
Andrew Dobson United States	9	160 1.3×	96 0.9×	19 0.4×	47 1.3×	77 2.8×	11	205
Mayank Mittal Switzerland	3	69 0.6×	85 0.8×	62 1.3×	43 1.2×	20 0.7×	4	179
S. K. Choi South Korea	7	76 0.6×	27 0.2×	29 0.6×	46 1.3×	48 1.7×	12	180
Juan-Manuel Ahuactzin Mexico	6	160 1.3×	137 1.2×	18 0.4×	36 1.0×	82 2.9×	10	211

Countries citing papers authored by Tobia Marcucci

Since Specialization

Citations

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

Fields of papers citing papers by Tobia Marcucci

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tobia Marcucci

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

All Works

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10 of 10 papers shown

1.

Marcucci, Tobia, et al.. (2024). Towards Tight Convex Relaxations for Contact-Rich Manipulation. 8 indexed citations

2.

Marcucci, Tobia, et al.. (2024). Fast Path Planning Through Large Collections of Safe Boxes. IEEE Transactions on Robotics. 40. 3795–3811. 8 indexed citations

3.

Werner, P., et al.. (2024). Approximating Robot Configuration Spaces with few Convex Sets using Clique Covers of Visibility Graphs. 10359–10365. 9 indexed citations

4.

Ahn, Kwangjun, et al.. (2024). On the Sample Complexity of Imitation Learning for Smoothed Model Predictive Control. 1820–1825. 1 indexed citations

5.

Marcucci, Tobia, et al.. (2024). Shortest Paths in Graphs of Convex Sets. SIAM Journal on Optimization. 34(1). 507–532. 25 indexed citations

6.

Marcucci, Tobia, et al.. (2023). Motion planning around obstacles with convex optimization. Science Robotics. 8(84). eadf7843–eadf7843. 83 indexed citations

7.

Marcucci, Tobia & Russ Tedrake. (2019). Mixed-integer formulations for optimal control of piecewise-affine systems. 230–239. 20 indexed citations

8.

Marcucci, Tobia, Robin Deits, Marco Gabiccini, Antonio Bicchi, & Russ Tedrake. (2017). Approximate hybrid model predictive control for multi-contact push recovery in complex environments. CINECA IRIS Institutial research information system (University of Pisa). 31–38. 31 indexed citations

9.

Marcucci, Tobia, Cosimo Della Santina, Marco Gabiccini, & Antonio Bicchi. (2017). Towards minimum-information adaptive controllers for robot manipulators. CINECA IRIS Institutial research information system (University of Pisa). 4209–4214. 5 indexed citations

10.

Marcucci, Tobia, Marco Gabiccini, & Alessio Artoni. (2016). A Two-Stage Trajectory Optimization Strategy for Articulated Bodies With Unscheduled Contact Sequences. IEEE Robotics and Automation Letters. 2(1). 104–111. 15 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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