R. Tombs

5.3k total citations
2 papers, 22 citations indexed

About

R. Tombs is a scholar working on Control and Systems Engineering, Statistical and Nonlinear Physics and Artificial Intelligence. According to data from OpenAlex, R. Tombs has authored 2 papers receiving a total of 22 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Control and Systems Engineering, 1 paper in Statistical and Nonlinear Physics and 1 paper in Artificial Intelligence. Recurrent topics in R. Tombs's work include Particle physics theoretical and experimental studies (1 paper), Anomaly Detection Techniques and Applications (1 paper) and Fault Detection and Control Systems (1 paper). R. Tombs is often cited by papers focused on Particle physics theoretical and experimental studies (1 paper), Anomaly Detection Techniques and Applications (1 paper) and Fault Detection and Control Systems (1 paper). R. Tombs collaborates with scholars based in United Kingdom, South Sudan and United States. R. Tombs's co-authors include C. G. Lester and D. L. Noel and has published in prestigious journals such as Journal of High Energy Physics and Journal of Instrumentation.

In The Last Decade

R. Tombs

2 papers receiving 22 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
R. Tombs United Kingdom	2	15	10	5	2	2	2	22
J. Mamuzic Germany	2	15 1.0×	6 0.6×	5 1.0×			3	18
A. Zucchetta Italy	3	21 1.4×	7 0.7×	4 0.8×		1 0.5×	8	26
Josina Schulte Germany	2	10 0.7×	8 0.8×	5 1.0×			4	19
D. Liyanage United States	3	23 1.5×	7 0.7×	3 0.6×	1 0.5×		6	29
S. Williamson Germany	3	18 1.2×	5 0.5×	3 0.6×			3	18
M. Habedank United Kingdom	2	28 1.9×	5 0.5×	7 1.4×			2	28
S. Calvet France	2	22 1.5×	4 0.4×	5 1.0×			4	22
Ho Fung Tsoi United States	3	7 0.5×	9 0.9×	2 0.4×		2 1.0×	3	17
O. Vitells Israel	3	28 1.9×	7 0.7×	10 2.0×	1 0.5×	3 1.5×	8	33
M. Belfkir United Arab Emirates	3	20 1.3×	3 0.3×	5 1.0×	2 1.0×	1 0.5×	7	27

Countries citing papers authored by R. Tombs

Since Specialization

Citations

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

Fields of papers citing papers by R. Tombs

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Tombs

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

Lester, C. G., et al.. (2022). Hunting for vampires and other unlikely forms of parity violation at the Large Hadron Collider. Journal of High Energy Physics. 2022(8). 2 indexed citations

2.

Tombs, R. & C. G. Lester. (2022). A method to challenge symmetries in data with self-supervised learning. Journal of Instrumentation. 17(8). P08024–P08024. 20 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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