Roy K Lowry

1.2k total citations
39 papers, 619 citations indexed

About

Roy K Lowry is a scholar working on Artificial Intelligence, Geology and Information Systems and Management. According to data from OpenAlex, Roy K Lowry has authored 39 papers receiving a total of 619 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 9 papers in Geology and 7 papers in Information Systems and Management. Recurrent topics in Roy K Lowry's work include Advanced Computational Techniques and Applications (11 papers), Environmental Monitoring and Data Management (9 papers) and Scientific Computing and Data Management (7 papers). Roy K Lowry is often cited by papers focused on Advanced Computational Techniques and Applications (11 papers), Environmental Monitoring and Data Management (9 papers) and Scientific Computing and Data Management (7 papers). Roy K Lowry collaborates with scholars based in United Kingdom, United States and Poland. Roy K Lowry's co-authors include John M. Nolan, Paul Henderson, Dick Schaap, Adam Leadbetter, Bryan Lawrence, S. J. B. Reed, Jun Long, Helen M. Snaith, Peter I. Miller and Peter Kirsch and has published in prestigious journals such as SHILAP Revista de lepidopterología, Earth and Planetary Science Letters and Contributions to Mineralogy and Petrology.

In The Last Decade

Roy K Lowry

37 papers receiving 576 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Roy K Lowry United Kingdom	11	133	130	119	93	81	39	619
Ning Zhou China	13	184 1.4×	72 0.6×	9 0.1×	12 0.1×	56 0.7×	38	716
Kerstin Lehnert United States	15	913 6.9×	338 2.6×	207 1.7×	192 2.1×	6 0.1×	89	1.5k
Davina Jackson United Kingdom	13	13 0.1×	58 0.4×	42 0.4×	41 0.4×	4 0.0×	40	1.2k
Lu Zeng China	17	479 3.6×	209 1.6×	20 0.2×	3 0.0×	13 0.2×	28	1.1k
Rachana Ananthakrishnan United States	19	9 0.1×	152 1.2×	243 2.0×	321 3.5×	2 0.0×	55	1.3k
Patrick J. Smith United Kingdom	14	429 3.2×	84 0.6×	11 0.1×	6 0.1×	5 0.1×	50	740
Lesley Wyborn Australia	18	903 6.8×	708 5.4×	172 1.4×	140 1.5×		75	1.5k
Sünje Dallmeier-Tiessen Switzerland	10	102 0.8×	31 0.2×	155 1.3×	141 1.5×		36	519
Arnd Weber Germany	13	6 0.0×	49 0.4×	37 0.3×	14 0.2×	9 0.1×	52	470
Hao Zhong United States	10	38 0.3×	86 0.7×	18 0.2×	17 0.2×		29	480

Countries citing papers authored by Roy K Lowry

Since Specialization

Citations

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

Fields of papers citing papers by Roy K Lowry

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roy K Lowry. 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 Roy K Lowry. The network helps show where Roy K Lowry may publish in the future.

Co-authorship network of co-authors of Roy K Lowry

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

All Works

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20 of 20 papers shown

Lowry, Roy K & Adam Leadbetter. (2014). Semantically supporting data discovery, markup and aggregation in the European Marine Observation and Data Network (EMODnet). EGU General Assembly Conference Abstracts. 13693. 4 indexed citations

Lowry, Roy K. (2014). Concepts and Applications of Inferential Statistics. 131 indexed citations

Leadbetter, Adam, et al.. (2013). Putting meaning into NETMAR – the open service network for marine environmental data. International Journal of Digital Earth. 7(10). 811–828. 17 indexed citations

Leadbetter, Adam, et al.. (2012). The NERC Vocabulary Server: Version 2.0. AGU Fall Meeting Abstracts. 2012. 2943. 2 indexed citations

Callaghan, Sarah, Peter Kirsch, Adam Leadbetter, et al.. (2012). Making Data a First Class Scientific Output: Data Citation and Publication by NERC’s Environmental Data Centres. SHILAP Revista de lepidopterología. 7(1). 107–113. 50 indexed citations

Callaghan, Sarah, et al.. (2012). Data Citation and Publication by NERC's Environmental Data Centres. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations

Leadbetter, Adam, Roy K Lowry, & Oliver Clements. (2010). Semantics in NETMAR (open service NETwork for MARine environmental data). EGUGA. 2638. 1 indexed citations

Lowry, Roy K, D.T. Pugh, & Sarath Wijeratne. (2009). Observations of Seiching and Tides Around the Islands of Mauritius and Rodrigues. Western Indian Ocean Journal of Marine Science. 7(1). 6 indexed citations

Lowry, Roy K, Ed Urban, & Peter Pissierssens. (2009). A New Approach to Data Publication in Ocean Sciences. Eos. 90(50). 484–484. 2 indexed citations

10.

Lowry, Roy K. (2008). 25 Years of Controlled Vocabularies in Oceanographic Data Management. AGU Fall Meeting Abstracts. 2008. 1 indexed citations

11.

Lawrence, Bryan, et al.. (2008). Information in environmental data grids. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 367(1890). 1003–1014. 24 indexed citations

12.

Drach, R., Ben Eaton, Jonathan M. Gregory, et al.. (2007). The CF Conventions: Governance and Community Issues in Establishing Standards for Representing Climate, Forecast, and Observational Data. AGUFM. 2007. 2 indexed citations

13.

Blower, Jon, et al.. (2007). Sharing and visualizing environmental data using Virtual Globes. 2(5). 595–605. 8 indexed citations

14.

Lawrence, Bryan, et al.. (2006). Data integration with the Climate Science Modelling Language. Advances in geosciences. 8. 83–90. 12 indexed citations

15.

Dam, Kerstin Kleese van, et al.. (2005). Semantic integration of file-based data for grid services. Science and Technology Facilities Council. 182–188 Vol. 1. 8 indexed citations

16.

Dam, Kerstin Kleese van, et al.. (2005). Standards‐based data interoperability in the climate sciences. Meteorological Applications. 12(1). 9–22. 9 indexed citations

17.

Moncoiffé, Gwenaëlle, et al.. (2002). PROVESS Data Management and subsequent data access. Journal of Sea Research. 48(4). 333–334. 1 indexed citations

18.

Howarth, M.J., K.R. Dyer, I. R. Joint, et al.. (1993). Seasonal cycles and their spatial variability. Philosophical Transactions of the Royal Society of London Series A Physical and Engineering Sciences. 343(1669). 383–403. 34 indexed citations

19.

Lowry, Roy K, Paul Henderson, & John M. Nolan. (1982). Tracer diffusion of some alkali, alkaline-earth and transition element ions in a basaltic and an andesitic melt, and the implications concerning melt structure. Contributions to Mineralogy and Petrology. 80(3). 254–261. 68 indexed citations

20.

Lowry, Roy K, S. J. B. Reed, John M. Nolan, Paul Henderson, & Jun Long. (1981). Lithium tracer-diffusion in an alkali-basaltic melt — An ion-microprobe determination. Earth and Planetary Science Letters. 53(1). 36–40. 26 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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