Fabio Stroppa

538 total citations · 1 hit paper
20 papers, 264 citations indexed

About

Fabio Stroppa is a scholar working on Biomedical Engineering, Control and Systems Engineering and Mechanical Engineering. According to data from OpenAlex, Fabio Stroppa has authored 20 papers receiving a total of 264 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Biomedical Engineering, 5 papers in Control and Systems Engineering and 5 papers in Mechanical Engineering. Recurrent topics in Fabio Stroppa's work include Modular Robots and Swarm Intelligence (4 papers), Muscle activation and electromyography studies (4 papers) and Soft Robotics and Applications (4 papers). Fabio Stroppa is often cited by papers focused on Modular Robots and Swarm Intelligence (4 papers), Muscle activation and electromyography studies (4 papers) and Soft Robotics and Applications (4 papers). Fabio Stroppa collaborates with scholars based in Türkiye, Italy and United States. Fabio Stroppa's co-authors include Claudio Loconsole, Mahshid Dehghan, Mahsa Rezaei, Arash Heidari, Nima Jafari Navimipour, Mehmet Ünal, Sarina Aminizadeh, Shiva Toumaj, Antonio Frisoli and Federico Semeraro and has published in prestigious journals such as BMC Bioinformatics, Applied Soft Computing and Resuscitation.

In The Last Decade

Fabio Stroppa

18 papers receiving 249 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.

Opportunities and challenges of artificial intelligence and distributed systems to improve the quality of healthcare service

2024 101 citations Sarina Aminizadeh, Arash Heidari et al. Artificial Intelligence in Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fabio Stroppa Türkiye	7	89	49	47	44	28	20	264
Philip Asare United States	10	50 0.6×	12 0.2×	68 1.4×	38 0.9×	36 1.3×	36	308
Renata dos Santos Vasconcelos Brazil	5	23 0.3×	28 0.6×	32 0.7×	19 0.4×	63 2.3×	21	225
Marco Chirico Italy	8	35 0.4×	10 0.2×	50 1.1×	17 0.4×	90 3.2×	23	276
Zahraa K. Taha Iraq	10	66 0.7×	15 0.3×	28 0.6×	73 1.7×	138 4.9×	17	428
Konstantinos Banitsas United Kingdom	13	200 2.2×	12 0.2×	100 2.1×	17 0.4×	96 3.4×	39	464
Gerrit Niezen United Kingdom	10	51 0.6×	5 0.1×	69 1.5×	30 0.7×	62 2.2×	22	309
Hoon Ko South Korea	11	212 2.4×	23 0.5×	48 1.0×	172 3.9×	15 0.5×	23	619
Teruhiro Mizumoto Japan	11	51 0.6×	6 0.1×	66 1.4×	29 0.7×	51 1.8×	44	310
Quentin Lohmeyer Switzerland	11	39 0.4×	17 0.3×	68 1.4×	19 0.4×	3 0.1×	52	370
Albert Haque United States	8	61 0.7×	6 0.1×	95 2.0×	98 2.2×	31 1.1×	12	418

Countries citing papers authored by Fabio Stroppa

Since Specialization

Citations

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

Fields of papers citing papers by Fabio Stroppa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabio Stroppa

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Stroppa, Fabio, et al.. (2025). Gamifying Haptics User Studies: Comparison of Response Times From Smartphone Interfaces. IEEE Transactions on Haptics. 18(2). 423–429.

Stroppa, Fabio, et al.. (2025). Multiple global peaks big bang-big crunch algorithm for multimodal optimization. Evolutionary Intelligence. 18(2).

Stroppa, Fabio, et al.. (2025). Miniaturized soft growing robots for minimally invasive surgeries: challenges and opportunities. PubMed. 7(3). 33001–33001. 1 indexed citations

Aminizadeh, Sarina, Arash Heidari, Mahshid Dehghan, et al.. (2024). Opportunities and challenges of artificial intelligence and distributed systems to improve the quality of healthcare service. Artificial Intelligence in Medicine. 149. 102779–102779. 101 indexed citations breakdown →

Stroppa, Fabio, et al.. (2024). A Motion Planner for Growing Reconfigurable Inflated Beam Manipulators in Static Environments. IEEE Robotics and Automation Letters. 10(1). 516–523. 1 indexed citations

Stroppa, Fabio, et al.. (2024). The Impact of Evolutionary Computation on Robotic Design: A Case Study with an Underactuated Hand Exoskeleton. 5519–5525. 2 indexed citations

Stroppa, Fabio, et al.. (2024). Optimizing soft robot design and tracking with and without evolutionary computation: an intensive survey. Robotica. 42(8). 2848–2884. 2 indexed citations

Stroppa, Fabio. (2023). Design optimizer for planar soft-growing robot manipulators. Engineering Applications of Artificial Intelligence. 130. 107693–107693. 8 indexed citations

Stroppa, Fabio, et al.. (2023). Optimizing Exoskeleton Design with Evolutionary Computation: An Intensive Survey. Robotics. 12(4). 106–106. 6 indexed citations

10.

Stroppa, Fabio, Mario Selvaggio, Ming Luo, et al.. (2023). Shared-Control Teleoperation Paradigms on a Soft-Growing Robot Manipulator. Journal of Intelligent & Robotic Systems. 109(2). 13 indexed citations

11.

Stroppa, Fabio, et al.. (2023). Optimizing Real-Time Decision-Making in Sensor Networks. Research Padua Archive (University of Padua). 206–211. 2 indexed citations

12.

Exarchos, Ioannis, et al.. (2022). Task-Specific Design Optimization and Fabrication for Inflated-Beam Soft Robots with Growable Discrete Joints. 2022 International Conference on Robotics and Automation (ICRA). 7145–7151. 6 indexed citations

13.

Barsotti, Michele, et al.. (2018). Upper Limb Joint Angular Velocity Synergies of Human Reaching Movements. 3 indexed citations

14.

Stroppa, Fabio, Claudio Loconsole, & Antonio Frisoli. (2018). Convex polygon fitting in robot-based neurorehabilitation. Applied Soft Computing. 68. 609–625. 4 indexed citations

15.

Semeraro, Federico, Antonio Frisoli, Claudio Loconsole, et al.. (2017). Kids (learn how to) save lives in the school with the serious game Relive. Resuscitation. 116. 27–32. 55 indexed citations

16.

Stroppa, Fabio, et al.. (2017). Online adaptive assistance control in robot-based neurorehabilitation therapy. PubMed. 2017. 628–633. 8 indexed citations

17.

Loconsole, Claudio, Antonio Frisoli, Federico Semeraro, et al.. (2016). RELIVE: A Markerless Assistant for CPR Training. IEEE Transactions on Human-Machine Systems. 46(5). 755–760. 10 indexed citations

18.

Semeraro, Federico, Antonio Frisoli, Claudio Loconsole, et al.. (2016). Let's play Relive! Young people may learn how to save lives with a serious game. Resuscitation. 106. e44–e44. 1 indexed citations

19.

Bevilacqua, Vitoantonio, et al.. (2014). Fall detection in indoor environment with kinect sensor. CINECA IRIS Institutional Research Information System (Sant'Anna School of Advanced Studies). 319–324. 39 indexed citations

20.

Bevilacqua, Vitoantonio, et al.. (2014). EasyCluster2: an improved tool for clustering and assembling long transcriptome reads. BMC Bioinformatics. 15(S15). S7–S7. 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.

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