Marco Agus

1.8k total citations
130 papers, 1.1k citations indexed

About

Marco Agus is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Geology. According to data from OpenAlex, Marco Agus has authored 130 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Computer Vision and Pattern Recognition, 37 papers in Computer Graphics and Computer-Aided Design and 18 papers in Geology. Recurrent topics in Marco Agus's work include Computer Graphics and Visualization Techniques (37 papers), Advanced Vision and Imaging (34 papers) and Augmented Reality Applications (18 papers). Marco Agus is often cited by papers focused on Computer Graphics and Visualization Techniques (37 papers), Advanced Vision and Imaging (34 papers) and Augmented Reality Applications (18 papers). Marco Agus collaborates with scholars based in Qatar, Italy and Saudi Arabia. Marco Agus's co-authors include Enrico Gobbetti, Giovanni Pintore, Gianluigi Zanetti, Antonio Zorcolo, Andrea Giachetti, Fabio Marton, Markus Hadwiger, Jens Schneider, Corrado Calı and Mowafa Househ and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Physiology and Scientific Reports.

In The Last Decade

Marco Agus

107 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marco Agus Qatar	19	549	200	180	147	131	130	1.1k
Jing Hua United States	25	674 1.2×	292 1.5×	58 0.3×	73 0.5×	45 0.3×	112	1.8k
Christian Rupprecht Germany	22	841 1.5×	201 1.0×	31 0.2×	144 1.0×	28 0.2×	77	1.7k
Dirk Bartz Germany	20	1.0k 1.8×	707 3.5×	187 1.0×	131 0.9×	100 0.8×	83	1.4k
Daniel F. Keefe United States	26	1.1k 2.0×	371 1.9×	89 0.5×	81 0.6×	995 7.6×	96	1.9k
Denis Kalkofen Austria	22	1.1k 2.0×	167 0.8×	48 0.3×	51 0.3×	641 4.9×	74	1.3k
Hiroshi Kawasaki Japan	19	1.0k 1.8×	198 1.0×	22 0.1×	88 0.6×	39 0.3×	149	1.4k
Sami Romdhani Switzerland	12	1.8k 3.3×	144 0.7×	51 0.3×	73 0.5×	65 0.5×	20	2.1k
Gordon Clapworthy United Kingdom	16	308 0.6×	224 1.1×	153 0.8×	219 1.5×	28 0.2×	129	1.1k
Sergey Tulyakov United States	23	1.2k 2.2×	316 1.6×	47 0.3×	225 1.5×	34 0.3×	90	1.9k
Frédéric Fol Leymarie United Kingdom	13	849 1.5×	196 1.0×	9 0.1×	59 0.4×	43 0.3×	65	1.2k

Countries citing papers authored by Marco Agus

Since Specialization

Citations

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

Fields of papers citing papers by Marco Agus

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Agus

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Agus. A scholar is included among the top collaborators of Marco Agus 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 Marco Agus. Marco Agus 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

Cunto, Ferdinando Di, et al.. (2025). Ultrastructure of astrocytes using volume electron microscopy: A scoping review. The Journal of Physiology. 604(4). 1498–1517. 1 indexed citations

Shah, Uzair, Marco Agus, Mahmood Alzubaidi, et al.. (2025). AI-guided immersive exploration of brain ultrastructure for collaborative analysis and education. Computers & Graphics. 129. 104239–104239.

Pintore, Giovanni, et al.. (2025). PanoFloor: Reconstruction and Immersive Exploration of Large Multi-Room Scenes from a Minimal Set of Registered Panoramic Images Using Denoised Density Maps. 414–424.

Bartesaghi, Luca, et al.. (2025). Tight Spaces, Tighter Signals: Spatial Constraints as Drivers of Peripheral Myelination. Cells. 14(12). 926–926.

Pintore, Giovanni, Alberto Jaspe Villanueva, Markus Hadwiger, et al.. (2024). Deep synthesis and exploration of omnidirectional stereoscopic environments from a single surround-view panoramic image. Computers & Graphics. 119. 103907–103907. 4 indexed citations

Qaraqe, Marwa, et al.. (2024). Autocleandeepfood: auto-cleaning and data balancing transfer learning for regional gastronomy food computing. The Visual Computer. 41(4). 2691–2708. 1 indexed citations

Shah, Uzair, Md. Rafiul Biswas, Marco Agus, Mowafa Househ, & Wajdi Zaghouani. (2024). MemeMind at ArAIEval Shared Task: Generative Augmentation and Feature Fusion for Multimodal Propaganda Detection in Arabic Memes through Advanced Language and Vision Models. 467–472. 1 indexed citations

Al-Thelaya, Khaled, et al.. (2024). MV-Soccer: Motion-Vector Augmented Instance Segmentation for Soccer Player Tracking. 3245–3255.

Al-Thelaya, Khaled, et al.. (2023). Evaluating machine learning technologies for food computing from a data set perspective. Multimedia Tools and Applications. 83(11). 32041–32068. 9 indexed citations

10.

Schneider, Jens, et al.. (2023). The metaverse digital environments: a scoping review of the challenges, privacy and security issues. Frontiers in Big Data. 6. 1301812–1301812. 22 indexed citations

11.

Pintore, Giovanni, Alberto Jaspe Villanueva, Markus Hadwiger, et al.. (2023). PanoVerse: automatic generation of stereoscopic environments from single indoor panoramic images for Metaverse applications. 1–10. 4 indexed citations

12.

Schneider, Jens, et al.. (2023). Mobile Dermatoscopy: Class Imbalance Management Based on Blurring Augmentation, Iterative Refining and Cost-Weighted Recall Loss. Journal of Image and Graphics. 161–169. 4 indexed citations

13.

Al-Thelaya, Khaled, et al.. (2023). Applications of discriminative and deep learning feature extraction methods for whole slide image analysis: A survey. Journal of Pathology Informatics. 14. 100335–100335. 23 indexed citations

14.

Househ, Mowafa, et al.. (2023). Telehealth interventions during COVID-19 pandemic: a scoping review of applications, challenges, privacy and security issues. BMJ Health & Care Informatics. 30(1). e100676–e100676. 9 indexed citations

15.

Abdellah, Marwan, Jay S. Coggan, Corrado Calı, et al.. (2022). Ultraliser: a framework for creating multiscale, high-fidelity and geometrically realistic 3D models for in silico neuroscience. Briefings in Bioinformatics. 24(1). 5 indexed citations

16.

Ahmed, Arfan, Marco Agus, Mahmood Alzubaidi, et al.. (2022). Overview of the role of big data in mental health: A scoping review. SHILAP Revista de lepidopterología. 2. 100076–100076. 9 indexed citations

17.

Calı, Corrado, et al.. (2019). A Method for 3D Reconstruction and Virtual Reality Analysis of Glial and Neuronal Cells. Journal of Visualized Experiments. 3 indexed citations

18.

Agus, Marco, Enrico Gobbetti, Fabio Marton, Giovanni Pintore, & Pere‐Pau Vázquez. (2017). Mobile graphics: SIGGRAPH Asia 2017 course. RECERCAT (Consorci de Serveis Universitaris de Catalunya). 1–259. 1 indexed citations

19.

Gobbetti, Enrico, et al.. (2015). Digital Mont’e Prama: dalla digitalizzazione accurata alla valorizzazione di uno straordinario complesso statuario. SHILAP Revista de lepidopterología. 2 indexed citations

20.

Agus, Marco, Andrea Giachetti, Enrico Gobbetti, Gianluigi Zanetti, & Antonio Zorcolo. (2004). Hardware-Accelerated Dynamic Volume Rendering for Real-Time Surgical Simulation. 1 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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