Trevor Back

54.7k total citations · 1 hit paper
7 papers, 486 citations indexed

About

Trevor Back is a scholar working on Epidemiology, Nephrology and Condensed Matter Physics. According to data from OpenAlex, Trevor Back has authored 7 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Epidemiology, 1 paper in Nephrology and 1 paper in Condensed Matter Physics. Recurrent topics in Trevor Back's work include Clinical practice guidelines implementation (1 paper), Retinal and Optic Conditions (1 paper) and Cardiac Arrest and Resuscitation (1 paper). Trevor Back is often cited by papers focused on Clinical practice guidelines implementation (1 paper), Retinal and Optic Conditions (1 paper) and Cardiac Arrest and Resuscitation (1 paper). Trevor Back collaborates with scholars based in United Kingdom, United States and Switzerland. Trevor Back's co-authors include Samuel S. Schoenholz, Agnieszka Grabska‐Barwińska, Thomas M. Keck, Victor Bapst, Ekin D. Cubuk, Annette Obika, Demis Hassabis, Alexander Nelson, Craig Donner and Pushmeet Kohli and has published in prestigious journals such as Nature Physics, Journal of Medical Internet Research and Investigative Ophthalmology & Visual Science.

In The Last Decade

Trevor Back

7 papers receiving 463 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.

Unveiling the predictive power of static structure in glassy systems

2020 230 citations Victor Bapst, Thomas M. Keck et al. Nature Physics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Trevor Back United Kingdom	4	158	107	92	67	52	7	486
Omer Gottesman United States	6	42 0.3×	23 0.2×	94 1.0×	19 0.3×	42 0.8×	11	340
S. Nakajima Japan	12	218 1.4×	86 0.8×	60 0.7×	32 0.5×		32	745
Richard L. J. Qiu United States	16	309 2.0×	270 2.5×	57 0.6×	55 0.8×	21 0.4×	58	786
Muhammad Khalis Abdul Karim Malaysia	20	397 2.5×	504 4.7×	114 1.2×	47 0.7×	14 0.3×	115	1.2k
Thomas W. Rogers United Kingdom	14	25 0.2×	137 1.3×	68 0.7×	33 0.5×	7 0.1×	29	475
Deepak Dinakaran Canada	12	24 0.2×	57 0.5×	50 0.5×	10 0.1×	32 0.6×	38	398
Tianqi Xie China	9	32 0.2×	74 0.7×	62 0.7×	7 0.1×	8 0.2×	23	366
Felix Busch Germany	15	19 0.1×	394 3.7×	207 2.3×	6 0.1×	363 7.0×	55	813
Weiwei Wu China	18	213 1.3×	311 2.9×	163 1.8×	2 0.0×	6 0.1×	36	877
Shuwen Wei United States	9	21 0.1×	74 0.7×	16 0.2×	8 0.1×	41 0.8×	27	414

Countries citing papers authored by Trevor Back

Since Specialization

Citations

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

Fields of papers citing papers by Trevor Back

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Trevor Back

This figure shows the co-authorship network connecting the top 25 collaborators of Trevor Back. A scholar is included among the top collaborators of Trevor Back 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 Trevor Back. Trevor Back 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.

Bapst, Victor, Thomas M. Keck, Agnieszka Grabska‐Barwińska, et al.. (2020). Unveiling the predictive power of static structure in glassy systems. Nature Physics. 16(4). 448–454. 230 indexed citations breakdown →

2.

Bapst, Victor, Thomas M. Keck, Agnieszka Grabska‐Barwińska, et al.. (2020). Author Correction: Unveiling the predictive power of static structure in glassy systems. Nature Physics. 16(6). 702–702. 1 indexed citations

3.

Connell, Alistair, Georgia Black, Hugh Montgomery, et al.. (2019). Implementation of a Digitally Enabled Care Pathway (Part 2): Qualitative Analysis of Experiences of Health Care Professionals. Journal of Medical Internet Research. 21(7). e13143–e13143. 23 indexed citations

4.

Wagner, Siegfried K., Reena Chopra, Joseph R. Ledsam, et al.. (2019). Diagnostic accuracy and interobserver variability of macular disease evaluation using optical coherence tomography. Investigative Ophthalmology & Visual Science. 60(9). 1849–1849. 2 indexed citations

5.

Connell, Alistair, Hugh Montgomery, Peter Martin, et al.. (2019). Evaluation of a digitally-enabled care pathway for acute kidney injury management in hospital emergency admissions. npj Digital Medicine. 2(1). 67–67. 27 indexed citations

6.

Faes, Livia, Siegfried K. Wagner, Dun Jack Fu, et al.. (2019). Automated deep learning design for medical image classification by health-care professionals with no coding experience: a feasibility study. The Lancet Digital Health. 1(5). e232–e242. 201 indexed citations

7.

Faes, Livia, Siegfried K. Wagner, Dun Jack Fu, et al.. (2019). Feasibility of Automated Deep Learning Design for Medical Image Classification by Healthcare Professionals with Limited Coding Experience. SSRN Electronic Journal. 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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