Andrew Plume

2.7k total citations · 1 hit paper
16 papers, 1.5k citations indexed

About

Andrew Plume is a scholar working on Statistics, Probability and Uncertainty, Information Systems and Management and Information Systems. According to data from OpenAlex, Andrew Plume has authored 16 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Statistics, Probability and Uncertainty, 4 papers in Information Systems and Management and 2 papers in Information Systems. Recurrent topics in Andrew Plume's work include scientometrics and bibliometrics research (8 papers), Academic Publishing and Open Access (3 papers) and Gender Diversity and Inequality (2 papers). Andrew Plume is often cited by papers focused on scientometrics and bibliometrics research (8 papers), Academic Publishing and Open Access (3 papers) and Gender Diversity and Inequality (2 papers). Andrew Plume collaborates with scholars based in Netherlands, United States and France. Andrew Plume's co-authors include Jeroen Baas, Michiel Schotten, Grégoire Côté, Iain Craig, Md Nurul Amin, Marie McVeigh, James Pringle, Henk F. Moed, J. Reedijk and Vicente P. Guerrero‐Bote and has published in prestigious journals such as PLoS ONE, PLANT PHYSIOLOGY and Scientometrics.

In The Last Decade

Andrew Plume

16 papers receiving 1.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Scopus as a curated, high-quality bibliometric data source for academic research in quantitative science studies

2020 998 citations Jeroen Baas, Michiel Schotten et al. Quantitative Science Studies profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Andrew Plume Netherlands	8	466	214	184	163	148	16	1.5k
Grégoire Côté Canada	6	391 0.8×	183 0.9×	120 0.7×	202 1.2×	146 1.0×	8	1.5k
Jeroen Baas Netherlands	10	403 0.9×	138 0.6×	126 0.7×	215 1.3×	140 0.9×	22	1.7k
Alberto Martín‐Martín Spain	14	420 0.9×	317 1.5×	164 0.9×	247 1.5×	174 1.2×	39	1.9k
Satu Alakangas United Kingdom	4	315 0.7×	192 0.9×	106 0.6×	187 1.1×	209 1.4×	4	1.4k
Michael Norris United Kingdom	12	415 0.9×	226 1.1×	106 0.6×	153 0.9×	133 0.9×	30	1.1k
Antonio Perianes‐Rodríguez Spain	14	324 0.7×	183 0.9×	94 0.5×	127 0.8×	198 1.3×	45	1.5k
Jesper Wiborg Schneider Denmark	21	589 1.3×	209 1.0×	126 0.7×	195 1.2×	249 1.7×	71	1.9k
Rickard Danell Sweden	14	473 1.0×	184 0.9×	86 0.5×	181 1.1×	290 2.0×	27	1.5k
Weishu Liu China	20	414 0.9×	237 1.1×	161 0.9×	242 1.5×	229 1.5×	44	2.3k
David Pendlebury United States	9	271 0.6×	143 0.7×	115 0.6×	142 0.9×	89 0.6×	25	1.2k

Countries citing papers authored by Andrew Plume

Since Specialization

Citations

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

Fields of papers citing papers by Andrew Plume

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Plume

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

All Works

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16 of 16 papers shown

Falk-Krzesinski, Holly J., et al.. (2022). Sustainability through a gender lens: The extent to which research on UN Sustainable Development Goals includes sex and gender consideration. PLoS ONE. 17(10). e0275657–e0275657. 6 indexed citations

James, Kristy M., Andrew Plume, Ana Marušić, et al.. (2022). Analysing Elsevier Journal Metadata within Peer Review Workbench. SSRN Electronic Journal. 3 indexed citations

Plume, Andrew, et al.. (2022). Tales of the unexpected: Designing for serendipity in research. SSRN Electronic Journal. 3 indexed citations

Plume, Andrew, et al.. (2021). Great Power or Great Responsibility: What Is the Meaning of ‘Corresponding Authorship’ in Modern Research?. SSRN Electronic Journal. 5 indexed citations

Baas, Jeroen, et al.. (2020). Scopus as a curated, high-quality bibliometric data source for academic research in quantitative science studies. Quantitative Science Studies. 1(1). 377–386. 998 indexed citations breakdown →

Falk-Krzesinski, Holly J., et al.. (2020). Sustainability Through a Gender Lens: The Extent to Which Research on UN Sustainable Development Goals (SDGs) Includes Sex and Gender Consideration. SSRN Electronic Journal. 2 indexed citations

Plume, Andrew. (2019). Let’s not bury journal citation metrics – let’s bring them into the light for all to see. Political Geography. 68. A6–A6. 2 indexed citations

Jubb, Michael, et al.. (2017). Monitoring the transition to open access. White Rose Research Online (University of Leeds, The University of Sheffield, University of York). 33 indexed citations

Jubb, Michael, et al.. (2017). Monitoring the transition to open access: December 2017. 12 indexed citations

10.

Jubb, Michael, et al.. (2015). Monitoring the transition to open access: A report for Universities UK. White Rose Research Online (University of Leeds, The University of Sheffield, University of York). 9 indexed citations

11.

Moed, Henk F., J. Reedijk, Félix de Moya Anegón, et al.. (2012). Citation-based metrics are appropriate tools in journal assessment provided that they are accurate and used in an informed way. Scientometrics. 92(2). 367–376. 54 indexed citations

12.

Moed, Henk F., et al.. (2012). Studying scientific migration in Scopus. Scientometrics. 94(3). 929–942. 91 indexed citations

13.

Bornmann, Lutz & Andrew Plume. (2011). Is it necessary to consider suburbs (or small cities in the close proximity) and name variants in a citation impact analysis for bigger cities? An investigation using Munich as an example. Journal of Informetrics. 5(4). 695–697. 1 indexed citations

14.

Plume, Andrew. (2010). Buckyballs, nanotubes and graphene: On the hunt for the next big thing. 1(18). 3. 2 indexed citations

15.

Naponelli, Valeria, Alexandre Noiriel, Michael J. Ziemak, et al.. (2008). Phylogenomic and Functional Analysis of Pterin-4a-Carbinolamine Dehydratase Family (COG2154) Proteins in Plants and Microorganisms . PLANT PHYSIOLOGY. 146(4). 1515–1527. 30 indexed citations

16.

Craig, Iain, Andrew Plume, Marie McVeigh, James Pringle, & Md Nurul Amin. (2007). Do open access articles have greater citation impact?A critical review of the literature. Journal of Informetrics. 1(3). 239–248. 249 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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