Luca Zappella

856 total citations
14 papers, 511 citations indexed

About

Luca Zappella is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Control and Systems Engineering. According to data from OpenAlex, Luca Zappella has authored 14 papers receiving a total of 511 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 3 papers in Human-Computer Interaction and 2 papers in Control and Systems Engineering. Recurrent topics in Luca Zappella's work include Advanced Vision and Imaging (6 papers), Human Pose and Action Recognition (6 papers) and Video Surveillance and Tracking Methods (4 papers). Luca Zappella is often cited by papers focused on Advanced Vision and Imaging (6 papers), Human Pose and Action Recognition (6 papers) and Video Surveillance and Tracking Methods (4 papers). Luca Zappella collaborates with scholars based in Spain, United States and Italy. Luca Zappella's co-authors include Renè Vidal, Gregory D. Hager, Benjamı́n Béjar, Lingling Tao, Joaquím Salví, Xavier Lladó, Yixin Gao, Narges Ahmidi, Sanjeev Khudanpur and Shahin Sefati and has published in prestigious journals such as IEEE Transactions on Biomedical Engineering, Pattern Recognition and Electronics Letters.

In The Last Decade

Luca Zappella

13 papers receiving 498 citations

Peers

Luca Zappella

SURGE

CVPR

BE

CCM

HI

Narges Ahmidi United States

Lingling Tao United States

Tansel Halic United States

Carol E. Reiley United States

Max Allan United States

Nikhil V. Navkar Qatar

Gauthier Gras United Kingdom

George P. Moustris Greece

Diana C. W. Friedman United States

Javad Fotouhi United States

Narges Ahmidi United States

Luca Zappella

357 ×1.3

SURGE

177 ×0.7

CVPR

249 ×1.2

BE

102 ×2.0

CCM

36 ×0.7

HI

Citations per year, relative to Luca Zappella Luca Zappella (= 1×) peers Narges Ahmidi

Countries citing papers authored by Luca Zappella

Since Specialization

Citations

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

Fields of papers citing papers by Luca Zappella

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luca Zappella

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

All Works

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14 of 14 papers shown

1.

Zappella, Luca, et al.. (2025). Revisiting Uncertainty Quantification Evaluation in Language Models: Spurious Interactions with Response Length Bias Results. ArXiv.org. 743–759.

2.

Zappella, Luca, et al.. (2023). Spatial LibriSpeech: An Augmented Dataset for Spatial Audio Learning. arXiv (Cornell University). 3724–3728. 3 indexed citations

3.

Zappella, Luca, et al.. (2018). Principal Filter Analysis for Guided Network Compression.. arXiv (Cornell University). 11 indexed citations

4.

Zappella, Luca, et al.. (2018). NETWORK COMPRESSION USING CORRELATION ANALYSIS OF LAYER RESPONSES. 3 indexed citations

5.

Ahmidi, Narges, Lingling Tao, Shahin Sefati, et al.. (2017). A Dataset and Benchmarks for Segmentation and Recognition of Gestures in Robotic Surgery. IEEE Transactions on Biomedical Engineering. 64(9). 2025–2041. 182 indexed citations

6.

Tao, Lingling, Luca Zappella, Gregory D. Hager, & Renè Vidal. (2013). Surgical Gesture Segmentation and Recognition. Lecture notes in computer science. 16(Pt 3). 339–346. 86 indexed citations

7.

Zappella, Luca, Benjamı́n Béjar, Gregory D. Hager, & Renè Vidal. (2013). Surgical gesture classification from video and kinematic data. Medical Image Analysis. 17(7). 732–745. 98 indexed citations

8.

Béjar, Benjamı́n, Luca Zappella, & Renè Vidal. (2012). Surgical Gesture Classification from Video Data. Lecture notes in computer science. 15(Pt 1). 34–41. 44 indexed citations

9.

Zappella, Luca, Alessio Del Bue, Xavier Lladó, & Joaquím Salví. (2012). Joint estimation of segmentation and structure from motion. Computer Vision and Image Understanding. 117(2). 113–129. 17 indexed citations

10.

Zappella, Luca, Alessio Del Bue, Xavier Lladó, & Joaquím Salví. (2011). Simultaneous motion segmentation and Structure from Motion. 679–684. 3 indexed citations

11.

Zappella, Luca, Xavier Lladó, Edoardo Provenzi, & Joaquím Salví. (2010). Enhanced Local Subspace Affinity for feature-based motion segmentation. Pattern Recognition. 44(2). 454–470. 32 indexed citations

12.

Zappella, Luca, Xavier Lladó, & Joaquím Salví. (2009). Rank estimation of trajectory matrix in motion segmentation. Electronics Letters. 45(11). 540–541. 1 indexed citations

13.

Zappella, Luca, Xavier Lladó, & Joaquím Salví. (2009). Enhanced Model Selection for motion segmentation. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 30. 4053–4056. 4 indexed citations

14.

Zappella, Luca, Xavier Lladó, & Joaquím Salví. (2008). Motion Segmentation: a Review. 27 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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