Diego Arroyuelo

650 total citations
28 papers, 149 citations indexed

About

Diego Arroyuelo is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Diego Arroyuelo has authored 28 papers receiving a total of 149 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 12 papers in Computer Networks and Communications and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Diego Arroyuelo's work include Algorithms and Data Compression (22 papers), Data Management and Algorithms (11 papers) and Advanced Database Systems and Queries (8 papers). Diego Arroyuelo is often cited by papers focused on Algorithms and Data Compression (22 papers), Data Management and Algorithms (11 papers) and Advanced Database Systems and Queries (8 papers). Diego Arroyuelo collaborates with scholars based in Chile, United Kingdom and Spain. Diego Arroyuelo's co-authors include Gonzalo Navarro, Aidan Hogan, Mauricio Marı́n, Kunihiko Sadakane, Juan L. Reutter, Verónica Gil-Costa, Torsten Suel, Jouni Sirén, Kim Nguyễn and Niko Välimäki and has published in prestigious journals such as Communications of the ACM, Information Processing & Management and Theoretical Computer Science.

In The Last Decade

Diego Arroyuelo

26 papers receiving 142 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Diego Arroyuelo Chile	8	113	58	56	43	31	28	149
Alexander Golynski Canada	9	187 1.7×	89 1.5×	40 0.7×	41 1.0×	16 0.5×	14	233
Giulio Ermanno Pibiri Italy	9	133 1.2×	61 1.1×	48 0.9×	21 0.5×	21 0.7×	27	183
Jyh-Jong Tsay Taiwan	8	82 0.7×	67 1.2×	105 1.9×	54 1.3×	31 1.0×	37	267
Mark Raasveldt Netherlands	8	63 0.6×	144 2.5×	47 0.8×	60 1.4×	67 2.2×	11	218
Gaoli Wang China	8	154 1.4×	39 0.7×	85 1.5×	24 0.6×	54 1.7×	42	219
Ciaran McCreesh United Kingdom	7	84 0.7×	76 1.3×	51 0.9×	23 0.5×	12 0.4×	21	144
Kushal Datta United States	5	39 0.3×	88 1.5×	21 0.4×	26 0.6×	44 1.4×	9	149
Gábor Szárnyas Hungary	8	76 0.7×	91 1.6×	68 1.2×	35 0.8×	48 1.5×	20	164
Yakov Nekrich United States	10	169 1.5×	49 0.8×	71 1.3×	70 1.6×	19 0.6×	43	233
Alessio Conte Italy	7	94 0.8×	74 1.3×	46 0.8×	30 0.7×	19 0.6×	33	199

Countries citing papers authored by Diego Arroyuelo

Since Specialization

Citations

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

Fields of papers citing papers by Diego Arroyuelo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diego Arroyuelo

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

Arroyuelo, Diego, et al.. (2024). Evaluating regular path queries on compressed adjacency matrices. The VLDB Journal. 34(1). 1 indexed citations

Arroyuelo, Diego, et al.. (2024). The Ring: Worst-case Optimal Joins in Graph Databases using (Almost) No Extra Space. ACM Transactions on Database Systems. 49(2). 1–45. 2 indexed citations

Arroyuelo, Diego, et al.. (2024). Worst-Case-Optimal Similarity Joins on Graph Databases. Proceedings of the ACM on Management of Data. 2(1). 1–26. 2 indexed citations

Arroyuelo, Diego, et al.. (2024). Space & Time Efficient Leapfrog Triejoin. 1–9. 1 indexed citations

Arroyuelo, Diego, Aidan Hogan, Gonzalo Navarro, Juan L. Reutter, & Domagoj Vrgoč. (2024). Tackling Challenges in Implementing Large-Scale Graph Databases. Communications of the ACM. 67(8). 40–44. 1 indexed citations

Vrgoč, Domagoj, Renzo Angles, Marcelo Arenas, et al.. (2023). MillenniumDB: An Open-Source Graph Database System. Data Intelligence. 5(3). 560–610. 5 indexed citations

Arroyuelo, Diego, et al.. (2023). Optimizing RPQs over a compact graph representation. The VLDB Journal. 33(2). 349–374. 3 indexed citations

Vrgoč, Domagoj, Renzo Angles, Marcelo Arenas, et al.. (2023). MillenniumDB: An Open-Source Graph Database System. Data Intelligence. 1–39. 1 indexed citations

Arroyuelo, Diego, et al.. (2022). Time- and Space-Efficient Regular Path Queries. 2022 IEEE 38th International Conference on Data Engineering (ICDE). 3091–3105. 4 indexed citations

10.

Arroyuelo, Diego, et al.. (2022). Optimal Joins Using Compressed Quadtrees. ACM Transactions on Database Systems. 47(2). 1–53. 5 indexed citations

11.

Arroyuelo, Diego & Rajeev Raman. (2021). Adaptive Succinctness. Algorithmica. 84(3). 694–718.

12.

Arroyuelo, Diego, et al.. (2020). A Hybrid Compressed Data Structure Supporting Rank and Select on Bit Sequences. 1–8. 1 indexed citations

13.

Arroyuelo, Diego, et al.. (2019). To index or not to index: Time–space trade-offs for positional ranking functions in search engines. Information Systems. 89. 101466–101466. 1 indexed citations

14.

Arroyuelo, Diego, et al.. (2018). Hybrid compression of inverted lists for reordered document collections. Information Processing & Management. 54(6). 1308–1324. 10 indexed citations

15.

Arroyuelo, Diego, et al.. (2014). Distributed text search using suffix arrays. Parallel Computing. 40(9). 471–495. 4 indexed citations

16.

Arroyuelo, Diego & Gonzalo Navarro. (2011). Space-efficient construction of Lempel–Ziv compressed text indexes. Information and Computation. 209(7). 1070–1102. 8 indexed citations

17.

Arroyuelo, Diego, et al.. (2011). Distributed search based on self-indexed compressed text. Information Processing & Management. 48(5). 819–827. 10 indexed citations

18.

Arroyuelo, Diego, Francisco Claude, Stéphane Durocher, et al.. (2011). Untangled monotonic chains and adaptive range search. Theoretical Computer Science. 412(32). 4200–4211. 2 indexed citations

19.

Arroyuelo, Diego, Gonzalo Navarro, & Kunihiko Sadakane. (2010). Stronger Lempel-Ziv Based Compressed Text Indexing. Algorithmica. 62(1-2). 54–101. 16 indexed citations

20.

Arroyuelo, Diego & Gonzalo Navarro. (2007). Smaller and Faster Lempel-Ziv Indices. Universidad de Chile. 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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