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.
The Cluster Magnetic Field Investigation: overview of in-flight performance and initial results
20011.0k citationsA. Balogh, C. Carr et al.profile →
A critical review on recent advancements of the removal of reactive dyes from dyehouse effluent by ion-exchange adsorbents
This map shows the geographic impact of C. Carr'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 C. Carr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Carr more than expected).
This network shows the impact of papers produced by C. Carr. 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 C. Carr. The network helps show where C. Carr may publish in the future.
Co-authorship network of co-authors of C. Carr
This figure shows the co-authorship network connecting the top 25 collaborators of C. Carr.
A scholar is included among the top collaborators of C. Carr 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 C. Carr. C. Carr is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Walsh, A. P., Ali Varsani, C. J. Owen, et al.. (2014). Microscale dynamics within Kelvin-Helmholtz waves: A probe of localized reconnection occurrence. 2014 AGU Fall Meeting. 2014.1 indexed citations
Carr, C., et al.. (2010). Strategic Investment Decision Making Practices: A Contextual Approach. SSRN Electronic Journal.1 indexed citations
14.
Trenchi, Lorenzo, M. F. Marcucci, G. Pallocchia, et al.. (2009). Magnetic reconnection at the dayside magnetopause with Double Star Tc1 data.. Memorie della Societa Astronomica Italiana. 80. 287.6 indexed citations
Berchem, Guy, M. W. Dunlop, J. M. Bosqued, et al.. (2006). Large-scale topology of dayside merging: Comparison of global MHD simulation results with measurements from the Double Star and Cluster spacecraft. HAL (Le Centre pour la Communication Scientifique Directe).1 indexed citations
17.
Berchem, Guy, A. Marchaudon, J. M. Bosqued, et al.. (2005). Using DOUBLE STAR and CLUSTER Synoptic Observations to Test Global MHD Simulations of the Large-scale Topology of the Dayside Merging Region. AGUFM. 2005.1 indexed citations
18.
Vallat, C., I. Dandouras, H. Rème, et al.. (2005). Magnetospheric response to extreme solar events of January 2005, as observed by the Cluster and Double Star spacecraft. AGU Spring Meeting Abstracts. 2005.1 indexed citations
19.
Carr, C. & Cyril Tomkins. (1998). Context, Culture and the Role of the Finance Function in Strategic Decisions. A Comparative Analysis of Britain, Germany, the USA and Japan. SSRN Electronic Journal.8 indexed citations
20.
Carr, C. & Cyril Tomkins. (1998). Strategic Investment Decisions: The Importance of SCM. A Comparative Analysis of 51 Case Studies in U.K., U.S. and German Companies. SSRN Electronic Journal.1 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.