J. Letts

14.3k total citations
2 papers, 5 citations indexed

About

J. Letts is a scholar working on Computer Networks and Communications, Information Systems and Management and Nuclear and High Energy Physics. According to data from OpenAlex, J. Letts has authored 2 papers receiving a total of 5 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Networks and Communications, 1 paper in Information Systems and Management and 1 paper in Nuclear and High Energy Physics. Recurrent topics in J. Letts's work include Advanced Data Storage Technologies (2 papers), Particle physics theoretical and experimental studies (1 paper) and Distributed and Parallel Computing Systems (1 paper). J. Letts is often cited by papers focused on Advanced Data Storage Technologies (2 papers), Particle physics theoretical and experimental studies (1 paper) and Distributed and Parallel Computing Systems (1 paper). J. Letts collaborates with scholars based in Spain, Switzerland and Germany. J. Letts's co-authors include N. Magini, T. Kress, N. Magini, D. Bonacorsi, S. Belforte, A. Fanfani, A. Sciabà, P. Kreuzer, J. M. Hernández and Andrea Sartirana and has published in prestigious journals such as Journal of Physics Conference Series.

In The Last Decade

J. Letts

1 paper receiving 5 citations

Peers — A (Enhanced Table)

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

Name	h				Papers	Cites
J. Letts Spain	1	5	1	1	2	5
R. Tafirout Canada	2	5 1.0×	1 1.0×		4	6
E. Bonaccorsi Switzerland	3	6 1.2×	1 1.0×		4	8
G. Vasileiadis France	2	4 0.8×	1 1.0×	1 1.0×	3	6
D. Colling United Kingdom	2	4 0.8×	1 1.0×	1 1.0×	4	5
Alex Poliakov United States	2	4 0.8×	1 1.0×	1 1.0×	2	5
Esther Montes Spain	2	4 0.8×	1 1.0×	1 1.0×	3	5
A. Valassi Switzerland	2	4 0.8×		1 1.0×	2	5
C. Dearlove Sweden	1	5 1.0×			2	5
H. Harutyunyan Canada	2	4 0.8×			4	4
C. B. Gwilliam United Kingdom	2	4 0.8×		1 1.0×	2	8

Countries citing papers authored by J. Letts

Since Specialization

Citations

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

Fields of papers citing papers by J. Letts

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Letts

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

All Works

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2 of 2 papers shown

1.

Piperov, S., N. Magini, J. Flix, et al.. (2012). CMS Data Transfer operations after the first years of LHC collisions. Journal of Physics Conference Series. 396(4). 42033–42033. 5 indexed citations

2.

Belforte, S., A. Fanfani, I. Fisk, et al.. (2010). Bringing the CMS distributed computing system into scalable operations. Journal of Physics Conference Series. 219(6). 62015–62015.

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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