Luca Minciullo

475 total citations
9 papers, 168 citations indexed

About

Luca Minciullo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Rheumatology. According to data from OpenAlex, Luca Minciullo has authored 9 papers receiving a total of 168 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 3 papers in Rheumatology. Recurrent topics in Luca Minciullo's work include Human Pose and Action Recognition (4 papers), Osteoarthritis Treatment and Mechanisms (3 papers) and Musculoskeletal synovial abnormalities and treatments (2 papers). Luca Minciullo is often cited by papers focused on Human Pose and Action Recognition (4 papers), Osteoarthritis Treatment and Mechanisms (3 papers) and Musculoskeletal synovial abnormalities and treatments (2 papers). Luca Minciullo collaborates with scholars based in United Kingdom, Switzerland and France. Luca Minciullo's co-authors include Lorenzo Garattoni, Rui Dai, Gianpiero Francesca, Srijan Das, T.F. Cootes, François Brémond, Fabian Manhardt, Nassir Navab, M.J. Parkes and Benjamin Busam and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Annals of the Rheumatic Diseases and Research Explorer (The University of Manchester).

In The Last Decade

Luca Minciullo

9 papers receiving 164 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Luca Minciullo United Kingdom	5	121	63	51	26	16	9	168
Runyang Feng China	8	215 1.8×	76 1.2×	57 1.1×	45 1.7×		12	262
Daochang Liu China	6	213 1.8×	141 2.2×	56 1.1×	8 0.3×	1 0.1×	10	268
Richard V. Stebbing United Kingdom	6	80 0.7×	34 0.5×	11 0.2×	38 1.5×		9	166
Sina Honari Switzerland	7	138 1.1×	45 0.7×	25 0.5×	22 0.8×		15	165
Yujie Zhong China	7	145 1.2×	67 1.1×	21 0.4×	6 0.2×		12	179
Seungryul Baek South Korea	8	171 1.4×	45 0.7×	25 0.5×	74 2.8×		20	194
Tianjiao Li Singapore	5	211 1.7×	103 1.6×	72 1.4×	33 1.3×		9	238
Dogyoon Lee South Korea	5	152 1.3×	70 1.1×	76 1.5×	35 1.3×		8	195
Wendong Zhang China	6	128 1.1×	26 0.4×	16 0.3×	14 0.5×		16	147
Chien-Yi Chang United States	4	212 1.8×	159 2.5×	58 1.1×	12 0.5×		6	266

Countries citing papers authored by Luca Minciullo

Since Specialization

Citations

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

Fields of papers citing papers by Luca Minciullo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luca Minciullo

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

All Works

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9 of 9 papers shown

Huang, Xijie, et al.. (2024). CMOSE: Comprehensive Multi-Modality Online Student Engagement Dataset with High-Quality Labels. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 4636–4645. 2 indexed citations

Minciullo, Luca, et al.. (2022). Unmixing multi-spectral electrical impedance tomography (EIT) predicts clinical-standard controlled attenuation parameter (CAP) for nonalcoholic fatty liver disease classification: a feasibility study. 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2022. 576–579. 4 indexed citations

Dai, Rui, Srijan Das, Luca Minciullo, et al.. (2022). Toyota Smarthome Untrimmed: Real-World Untrimmed Videos for Activity Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(2). 2533–2550. 20 indexed citations

Minciullo, Luca, et al.. (2021). DB-GAN: Boosting Object Recognition Under Strong Lighting Conditions. 2938–2948. 3 indexed citations

Wang, Pengyuan, Fabian Manhardt, Luca Minciullo, et al.. (2021). DemoGrasp: Few-Shot Learning for Robotic Grasping with Human Demonstration. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 5733–5740. 15 indexed citations

Das, Srijan, et al.. (2019). Toyota Smarthome: Real-World Activities of Daily Living. 833–842. 101 indexed citations

Minciullo, Luca, M.J. Parkes, David T. Felson, & T.F. Cootes. (2018). Comparing image analysis approaches versus expert readers: the relation of knee radiograph features to knee pain. Annals of the Rheumatic Diseases. 77(11). 1606–1609. 6 indexed citations

Minciullo, Luca, et al.. (2017). Combination of lateral and PA view radiographs to study development of knee OA and associated pain. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10134. 1013411–1013411. 2 indexed citations

Minciullo, Luca & T.F. Cootes. (2016). Fully automated shape analysis for detection of Osteoarthritis from lateral knee radiographs. Research Explorer (The University of Manchester). 1. 3787–3791. 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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