Rosa Scoble

582 total citations · 1 hit paper
7 papers, 379 citations indexed

About

Rosa Scoble is a scholar working on Management Science and Operations Research, Finance and Statistics, Probability and Uncertainty. According to data from OpenAlex, Rosa Scoble has authored 7 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Management Science and Operations Research, 2 papers in Finance and 2 papers in Statistics, Probability and Uncertainty. Recurrent topics in Rosa Scoble's work include Evaluation and Performance Assessment (3 papers), Community Development and Social Impact (2 papers) and scientometrics and bibliometrics research (2 papers). Rosa Scoble is often cited by papers focused on Evaluation and Performance Assessment (3 papers), Community Development and Social Impact (2 papers) and scientometrics and bibliometrics research (2 papers). Rosa Scoble collaborates with scholars based in United Kingdom. Rosa Scoble's co-authors include Matthew Baker, Keith Dickson, Stephen Hanney, V.G.J. Rodgers, Jill A. Fisher, Steve Love, Simon N. Waddington, Stephen Trowell, R. G. Jones and Richard Gärtner and has published in prestigious journals such as Active Learning in Higher Education, Journal of Higher Education Policy and Management and Research Evaluation.

In The Last Decade

Rosa Scoble

7 papers receiving 351 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.

Assessment, evaluations, and definitions of research impact: A review

2013 350 citations Matthew Baker, Rosa Scoble et al. Research Evaluation profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rosa Scoble United Kingdom	4	85	84	76	69	53	7	379
L. van Drooge Netherlands	5	114 1.3×	108 1.3×	69 0.9×	115 1.7×	56 1.1×	18	469
Jack Spaapen Netherlands	7	107 1.3×	95 1.1×	63 0.8×	133 1.9×	55 1.0×	23	485
Stefan de Jong Netherlands	9	93 1.1×	92 1.1×	44 0.6×	92 1.3×	60 1.1×	26	431
Sándor Soós Hungary	8	34 0.4×	92 1.1×	24 0.3×	73 1.1×	31 0.6×	37	348
Janet Atkinson‐Grosjean Canada	9	17 0.2×	60 0.7×	56 0.7×	39 0.6×	80 1.5×	17	380
Ebbe Krogh Graversen Denmark	11	15 0.2×	62 0.7×	59 0.8×	33 0.5×	112 2.1×	24	293
Reetta Muhonen Finland	5	39 0.5×	93 1.1×	20 0.3×	36 0.5×	27 0.5×	15	251
Ingvild Reymert Norway	9	16 0.2×	92 1.1×	26 0.3×	49 0.7×	17 0.3×	19	293
René van Horik Netherlands	5	45 0.5×	37 0.4×	16 0.2×	48 0.7×	12 0.2×	17	239
J. Roger Clemmons United States	3	17 0.2×	186 2.2×	18 0.2×	55 0.8×	117 2.2×	4	410

Countries citing papers authored by Rosa Scoble

Since Specialization

Citations

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

Fields of papers citing papers by Rosa Scoble

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rosa Scoble

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

All Works

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7 of 7 papers shown

1.

Waddington, Simon N., et al.. (2014). UK Research Information Shared Service (UKRISS) Final Report, July 2014. Brunel University Research Archive (BURA) (Brunel University London). 1 indexed citations

2.

Waddington, Simon N., et al.. (2013). Feasibility Study Into the Reporting of Research Information at a National Level Within the UK Higher Education Sector. New Review of Information Networking. 18(2). 74–105. 3 indexed citations

3.

Baker, Matthew, et al.. (2013). Assessment, evaluations, and definitions of research impact: A review. Research Evaluation. 23(1). 21–32. 350 indexed citations breakdown →

4.

Scoble, Rosa, et al.. (2012). Research Excellence Framework: REF2014. Brunel University Research Archive (BURA) (Brunel University London). 1 indexed citations

5.

Scoble, Rosa, Keith Dickson, Jill A. Fisher, & Stephen Hanney. (2010). Research impact evaluation, a wider context: Findings from a research impact pilot. Brunel University Research Archive (BURA) (Brunel University London). 8 indexed citations

6.

Scoble, Rosa, Keith Dickson, Stephen Hanney, & V.G.J. Rodgers. (2010). Institutional strategies for capturing socio-economic impact of academic research. Journal of Higher Education Policy and Management. 32(5). 499–510. 14 indexed citations

7.

Love, Steve & Rosa Scoble. (2006). Developing a quality assurance metric. Active Learning in Higher Education. 7(2). 129–141. 2 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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