Alfredo D’Elia

45 total papers · 752 total citations
28 papers, 519 citations indexed

About

Alfredo D’Elia is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Alfredo D’Elia has authored 28 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Networks and Communications, 12 papers in Computer Vision and Pattern Recognition and 11 papers in Electrical and Electronic Engineering. Recurrent topics in Alfredo D’Elia's work include Context-Aware Activity Recognition Systems (12 papers), Electric Vehicles and Infrastructure (9 papers) and IoT and Edge/Fog Computing (7 papers). Alfredo D’Elia is often cited by papers focused on Context-Aware Activity Recognition Systems (12 papers), Electric Vehicles and Infrastructure (9 papers) and IoT and Edge/Fog Computing (7 papers). Alfredo D’Elia collaborates with scholars based in Italy, Germany and France. Alfredo D’Elia's co-authors include Tullio Salmon Cinotti, Luca Roffia, Luciano Bononi, Jussi Kiljander, Fabio Viola, Luca Bedogni, Marco Di Felice, Arto Ylisaukko-oja, Juha-Pekka Soininen and Janne Takalo-Mattila and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and IEEE Transactions on Vehicular Technology.

In The Last Decade

Alfredo D’Elia

27 papers receiving 503 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Alfredo D’Elia	261	174	151	144	92	28	519
Xiaoyi Fan	250 1.0×	204 1.2×	143 0.9×	108 0.8×	75 0.8×	36	587
Ajay Vikram Singh	223 0.9×	139 0.8×	81 0.5×	144 1.0×	91 1.0×	70	611
Yijie Xun	278 1.1×	269 1.5×	86 0.6×	75 0.5×	100 1.1×	33	608
Roger Immich	365 1.4×	165 0.9×	139 0.9×	140 1.0×	30 0.3×	47	538
Harun Jamil	195 0.7×	242 1.4×	51 0.3×	129 0.9×	57 0.6×	41	574
Soumya Kanti Datta	343 1.3×	224 1.3×	125 0.8×	173 1.2×	30 0.3×	18	562
Feilong Lin	201 0.8×	178 1.0×	76 0.5×	207 1.4×	34 0.4×	53	595
Yutong Zhou	347 1.3×	182 1.0×	56 0.4×	139 1.0×	36 0.4×	13	548
Huiying Du	309 1.2×	99 0.6×	61 0.4×	162 1.1×	49 0.5×	15	564
Adil O. Khadidos	177 0.7×	63 0.4×	73 0.5×	133 0.9×	45 0.5×	62	533

Countries citing papers authored by Alfredo D’Elia

Since Specialization

Citations

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

Fields of papers citing papers by Alfredo D’Elia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alfredo D’Elia. 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 Alfredo D’Elia. The network helps show where Alfredo D’Elia may publish in the future.

Co-authorship network of co-authors of Alfredo D’Elia

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

All Works

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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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