Davide Mottin

1.1k total citations
42 papers, 400 citations indexed

About

Davide Mottin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Davide Mottin has authored 42 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 16 papers in Computer Vision and Pattern Recognition and 15 papers in Computer Networks and Communications. Recurrent topics in Davide Mottin's work include Advanced Graph Neural Networks (14 papers), Data Management and Algorithms (14 papers) and Graph Theory and Algorithms (13 papers). Davide Mottin is often cited by papers focused on Advanced Graph Neural Networks (14 papers), Data Management and Algorithms (14 papers) and Graph Theory and Algorithms (13 papers). Davide Mottin collaborates with scholars based in Denmark, Italy and France. Davide Mottin's co-authors include Yannis Velegrakis, Themis Palpanas, Matteo Lissandrini, Emmanuel Müller, Senjuti Basu Roy, Gautam Das, Francesco Gullo, Francesco Bonchi, Panagiotis Karras and Anton Tsitsulin and has published in prestigious journals such as ACM Computing Surveys, Machine Learning and Proceedings of the VLDB Endowment.

In The Last Decade

Davide Mottin

35 papers receiving 387 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Davide Mottin Denmark	12	274	147	126	102	94	42	400
Tobias Lindaaker United Kingdom	6	192 0.7×	209 1.4×	112 0.9×	192 1.9×	73 0.8×	7	404
Pingpeng Yuan China	11	303 1.1×	218 1.5×	73 0.6×	198 1.9×	170 1.8×	55	485
Roberto De Virgilio Italy	12	176 0.6×	100 0.7×	85 0.7×	165 1.6×	113 1.2×	40	325
Victor Marsault France	3	156 0.6×	140 1.0×	74 0.6×	131 1.3×	61 0.6×	8	320
Alastair Green United Kingdom	4	156 0.6×	148 1.0×	77 0.6×	138 1.4×	63 0.7×	4	324
Nadime Francis France	4	151 0.6×	132 0.9×	78 0.6×	128 1.3×	58 0.6×	7	307
Zuhair Khayyat Saudi Arabia	8	239 0.9×	287 2.0×	95 0.8×	218 2.1×	237 2.5×	10	489
Hannes Voigt Germany	10	161 0.6×	157 1.1×	130 1.0×	222 2.2×	95 1.0×	41	346
Jiewen Huang United States	9	340 1.2×	242 1.6×	269 2.1×	428 4.2×	163 1.7×	13	620
Abdul Quamar United States	12	217 0.8×	118 0.8×	71 0.6×	211 2.1×	204 2.2×	25	440

Countries citing papers authored by Davide Mottin

Since Specialization

Citations

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

Fields of papers citing papers by Davide Mottin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Davide Mottin

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

All Works

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20 of 20 papers shown

Miyauchi, Atsushi, et al.. (2025). Untapping the Power of Indirect Relationships in Entity Summarization. 820–828.

Zhong, Zhiqiang, et al.. (2025). Knowledge-augmented Graph Machine Learning for Drug Discovery: A Survey. ACM Computing Surveys. 57(12). 1–38. 1 indexed citations

Huang, Cheng, et al.. (2024). HUNIPU: Efficient Hungarian Algorithm on IPUs. 388–394.

Karras, Panagiotis, et al.. (2024). FUGAL: Feature-fortified Unrestricted Graph Alignment. 19523–19546.

Jørgensen, Jakob Sauer, et al.. (2023). ActUp: Analyzing and Consolidating tSNE and UMAP. 3651–3658.

Mottin, Davide, et al.. (2023). UCoDe: unified community detection with graph convolutional networks. Machine Learning. 112(12). 5057–5080. 5 indexed citations

Lissandrini, Matteo, Davide Mottin, Katja Hose, & Torben Bach Pedersen. (2022). Knowledge Graph Exploration Systems: are we lost?. VBN Forskningsportal (Aalborg Universitet). 1 indexed citations

Kondylakis, Haridimos, et al.. (2021). SOFOS::Demonstrating the Challenges of Materialized View Selection on Knowledge Graph. 5 indexed citations

Tsitsulin, Anton, et al.. (2021). FREDE. Proceedings of the VLDB Endowment. 14(6). 1102–1110. 26 indexed citations

10.

Mottin, Davide, et al.. (2021). Boosting Graph Alignment Algorithms. Scopus (Elsevier). 3166–3170. 3 indexed citations

11.

Lissandrini, Matteo, Davide Mottin, Themis Palpanas, & Yannis Velegrakis. (2020). Graph-Query Suggestions for Knowledge Graph Exploration. VBN Forskningsportal (Aalborg Universitet). 2549–2555. 19 indexed citations

12.

Lissandrini, Matteo, et al.. (2019). Mining patterns in graphs with multiple weights. Distributed and Parallel Databases. 39(2). 281–319. 7 indexed citations

13.

Lissandrini, Matteo, Davide Mottin, Themis Palpanas, & Yannis Velegrakis. (2019). Example-based Search. Institutional Research Information System (Università degli Studi di Trento). 1411–1412. 6 indexed citations

14.

Lissandrini, Matteo, Davide Mottin, Themis Palpanas, & Yannis Velegrakis. (2018). Data Exploration Using Example-Based Methods. Institutional Research Information System (Università degli Studi di Trento). 10(4). 1–164. 7 indexed citations

15.

Lissandrini, Matteo, Davide Mottin, Themis Palpanas, & Yannis Velegrakis. (2018). Multi-Example Search in Rich Information Graphs. Institutional Research Information System (Università degli Studi di Trento). 809–820. 13 indexed citations

16.

Mottin, Davide, Matteo Lissandrini, Yannis Velegrakis, & Themis Palpanas. (2017). New trends on exploratory methods for data analytics. Proceedings of the VLDB Endowment. 10(12). 1977–1980. 26 indexed citations

17.

Mottin, Davide, et al.. (2016). A holistic and principled approach for the empty-answer problem. The VLDB Journal. 25(4). 597–622. 4 indexed citations

18.

Mottin, Davide, et al.. (2014). IQR. Institutional Research Information System (Università degli Studi di Trento). 1095–1098. 16 indexed citations

19.

Mottin, Davide, Matteo Lissandrini, Yannis Velegrakis, & Themis Palpanas. (2014). Exemplar queries. Proceedings of the VLDB Endowment. 7(5). 365–376. 50 indexed citations

20.

Mottin, Davide, et al.. (2013). A probabilistic optimization framework for the empty-answer problem. Proceedings of the VLDB Endowment. 6(14). 1762–1773. 32 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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