Jonathan J. Crofts

39 total papers · 828 total citations
28 papers, 532 citations indexed

About

Jonathan J. Crofts is a scholar working on Cognitive Neuroscience, Molecular Biology and Statistical and Nonlinear Physics. According to data from OpenAlex, Jonathan J. Crofts has authored 28 papers receiving a total of 532 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cognitive Neuroscience, 12 papers in Molecular Biology and 6 papers in Statistical and Nonlinear Physics. Recurrent topics in Jonathan J. Crofts's work include Neural dynamics and brain function (11 papers), Functional Brain Connectivity Studies (10 papers) and Bioinformatics and Genomic Networks (8 papers). Jonathan J. Crofts is often cited by papers focused on Neural dynamics and brain function (11 papers), Functional Brain Connectivity Studies (10 papers) and Bioinformatics and Genomic Networks (8 papers). Jonathan J. Crofts collaborates with scholars based in United Kingdom, Taiwan and United States. Jonathan J. Crofts's co-authors include Desmond J. Higham, Rose Bosnell, Heidi Johansen‐Berg, Timothy E.J. Behrens, Saâd Jbabdi, Paul M. Matthews, Nadia Chuzhanova, Chris J. Tinsley, E. Ellen Billett and Reuben D. O’Dea and has published in prestigious journals such as NeuroImage, Scientific Reports and European Journal of Neuroscience.

In The Last Decade

Jonathan J. Crofts

28 papers receiving 518 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jonathan J. Crofts 317 178 94 77 53 28 532
Meysam Hashemi 462 1.5× 135 0.8× 92 1.0× 32 0.4× 111 2.1× 29 600
Erik D. Fagerholm 378 1.2× 94 0.5× 63 0.7× 45 0.6× 109 2.1× 19 553
Thomas F. Varley 368 1.2× 39 0.2× 126 1.3× 43 0.6× 73 1.4× 29 593
Jennifer Stiso 347 1.1× 66 0.4× 33 0.4× 27 0.4× 55 1.0× 18 511
V.P. Subramanyam Rallabandi 105 0.3× 144 0.8× 78 0.8× 50 0.6× 10 0.2× 22 563
Yinghua Wang 414 1.3× 54 0.3× 35 0.4× 42 0.5× 54 1.0× 22 595
Azadeh Nematzadeh 216 0.7× 99 0.6× 195 2.1× 29 0.4× 22 0.4× 15 533
Peter Van Hese 395 1.2× 101 0.6× 27 0.3× 45 0.6× 150 2.8× 48 613
Melissa Zavaglia 383 1.2× 91 0.5× 29 0.3× 13 0.2× 94 1.8× 27 578
Elisabeth A. Karuza 426 1.3× 70 0.4× 60 0.6× 35 0.5× 15 0.3× 16 597

Countries citing papers authored by Jonathan J. Crofts

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan J. Crofts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan J. Crofts. 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 Jonathan J. Crofts. The network helps show where Jonathan J. Crofts may publish in the future.

Co-authorship network of co-authors of Jonathan J. Crofts

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

All Works

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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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