Leo Dalesio

59 total papers · 548 total citations
28 papers, 233 citations indexed

About

Leo Dalesio is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Aerospace Engineering. According to data from OpenAlex, Leo Dalesio has authored 28 papers receiving a total of 233 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Networks and Communications, 13 papers in Electrical and Electronic Engineering and 12 papers in Aerospace Engineering. Recurrent topics in Leo Dalesio's work include Particle Accelerators and Free-Electron Lasers (12 papers), Particle accelerators and beam dynamics (12 papers) and Distributed and Parallel Computing Systems (11 papers). Leo Dalesio is often cited by papers focused on Particle Accelerators and Free-Electron Lasers (12 papers), Particle accelerators and beam dynamics (12 papers) and Distributed and Parallel Computing Systems (11 papers). Leo Dalesio collaborates with scholars based in United States and Germany. Leo Dalesio's co-authors include William A. Watson, M.R. Kraimer, Stephen A. Lewis, G. Ganetis, Daniel Allan, Ralph Lange, Thomas A Caswell, R. Lambiase, William S. Levine and Vladimir Litvinenko and has published in prestigious journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Journal of the American Medical Directors Association and arXiv (Cornell University).

In The Last Decade

Leo Dalesio

20 papers receiving 191 citations

Author Peers

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

Author						Papers	Cites
Leo Dalesio	92	68	65	46	46	28	233
M.R. Kraimer	102 1.1×	67 1.0×	71 1.1×	71 1.5×	34 0.7×	27	271
B. Sammuli	38 0.4×	73 1.1×	238 3.7×	42 0.9×	53 1.2×	28	319
S. Migliori	37 0.4×	71 1.0×	99 1.5×	20 0.4×	15 0.3×	43	276
Andreas Werner	41 0.4×	66 1.0×	148 2.3×	15 0.3×	48 1.0×	40	269
L. Lagin	54 0.6×	24 0.4×	118 1.8×	22 0.5×	12 0.3×	30	176
H. Ito	78 0.8×	14 0.2×	37 0.6×	10 0.2×	40 0.9×	51	242
Ming Gu	206 2.2×	49 0.7×	27 0.4×	74 1.6×	26 0.6×	34	332
Fabio Pollastrone	60 0.7×	56 0.8×	62 1.0×	55 1.2×	15 0.3×	33	190
H. Kleines	38 0.4×	21 0.3×	51 0.8×	60 1.3×	27 0.6×	44	273
Xiaoxia Huang	110 1.2×	53 0.8×	40 0.6×	47 1.0×	49 1.1×	46	254

Countries citing papers authored by Leo Dalesio

Since Specialization

Citations

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

Fields of papers citing papers by Leo Dalesio

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leo Dalesio

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