John Biggs

2.1k total citations · 1 hit paper
18 papers, 1.4k citations indexed

About

John Biggs is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Hardware and Architecture. According to data from OpenAlex, John Biggs has authored 18 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Electrical and Electronic Engineering, 5 papers in Biomedical Engineering and 2 papers in Hardware and Architecture. Recurrent topics in John Biggs's work include CCD and CMOS Imaging Sensors (2 papers), Low-power high-performance VLSI design (2 papers) and Thin-Film Transistor Technologies (2 papers). John Biggs is often cited by papers focused on CCD and CMOS Imaging Sensors (2 papers), Low-power high-performance VLSI design (2 papers) and Thin-Film Transistor Technologies (2 papers). John Biggs collaborates with scholars based in United Kingdom, United States and Czechia. John Biggs's co-authors include Kevin F. Collis, Catherine So–kum Tang, James Myers, Emre Özer, Antony Sou, Jedrzej Kufel, Catherine Ramsdale, Scott White, Richard Price and Gavin Brown and has published in prestigious journals such as Nature, Medical Education and Nature Electronics.

In The Last Decade

John Biggs

18 papers receiving 1.2k 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.

Evaluating the Quality of Learning: The Solo Taxonomy : Structure of the Observed Learning Outcome

1977 747 citations John Biggs, Kevin F. Collis Medical Entomology and Zoology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
John Biggs United Kingdom	10	693	277	261	231	172	18	1.4k
Taylor Martin United States	18	841 1.2×	249 0.9×	697 2.7×	328 1.4×	508 3.0×	58	2.1k
Cheng-Huan Chen Taiwan	17	489 0.7×	402 1.5×	256 1.0×	244 1.1×	246 1.4×	85	1.6k
Tim Lewis United Kingdom	22	508 0.7×	132 0.5×	358 1.4×	134 0.6×	26 0.2×	88	1.6k
Xun Ge United States	20	1.0k 1.5×	77 0.3×	1.1k 4.2×	358 1.5×	47 0.3×	71	1.9k
M. Yaşar Özden Türkiye	16	663 1.0×	91 0.3×	466 1.8×	547 2.4×	48 0.3×	59	1.4k
Chris Quintana United States	19	972 1.4×	44 0.2×	1.0k 4.0×	349 1.5×	40 0.2×	80	2.1k
Yuqin Yang China	22	617 0.9×	87 0.3×	492 1.9×	397 1.7×	51 0.3×	94	1.6k
Yue Yin United States	12	477 0.7×	55 0.2×	423 1.6×	603 2.6×	35 0.2×	30	1.2k
Stephen C. Ehrmann United States	10	693 1.0×	65 0.2×	215 0.8×	165 0.7×	19 0.1×	26	969
Robert M. Capraro United States	29	2.1k 3.1×	19 0.1×	619 2.4×	274 1.2×	111 0.6×	163	3.1k

Countries citing papers authored by John Biggs

Since Specialization

Citations

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

Fields of papers citing papers by John Biggs

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Biggs

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

All Works

Sort: Min cites: Since: Top N: Style:

18 of 18 papers shown

1.

Özer, Emre, et al.. (2024). A Custom-designed Atrial Fibrillation Detection Hardware on a Flexible Substrate. 1–4. 1 indexed citations

2.

Atkinson, Timothy, Emre Özer, Jedrzej Kufel, et al.. (2024). Low-cost and efficient prediction hardware for tabular data using tiny classifier circuits. Nature Electronics. 7(5). 405–413. 3 indexed citations

3.

Biggs, John, James Myers, Jedrzej Kufel, et al.. (2021). A natively flexible 32-bit Arm microprocessor. Nature. 595(7868). 532–536. 199 indexed citations

4.

Özer, Emre, Jedrzej Kufel, James Myers, et al.. (2020). A hardwired machine learning processing engine fabricated with submicron metal-oxide thin-film transistors on a flexible substrate. Nature Electronics. 3(7). 419–425. 84 indexed citations

5.

Özer, Emre, Jedrzej Kufel, John Biggs, et al.. (2020). Binary Neural Network as a Flexible Integrated Circuit for Odour Classification. 1–4. 13 indexed citations

6.

Özer, Emre, Jedrzej Kufel, John Biggs, et al.. (2019). Bespoke Machine Learning Processor Development Framework on Flexible Substrates. 1–3. 12 indexed citations

7.

Özer, Emre, et al.. (2018). Error Correlation Prediction in Lockstep Processors for Safety-Critical Systems. 737–748. 4 indexed citations

8.

Myers, James, et al.. (2013). Active Mode Subclock Power Gating. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 22(9). 1898–1908. 13 indexed citations

9.

Flynn, David, et al.. (2009). Selective state retention design using symbolic simulation. ePrints Soton (University of Southampton). 1644–1649. 9 indexed citations

10.

Biggs, John & Catherine So–kum Tang. (2007). Teaching for Quality Learning. 230. 29–36. 185 indexed citations

11.

Liu, Ling, Calton Pu, David Buttler, et al.. (1998). CQ. ACM SIGMOD Record. 27(2). 547–549. 2 indexed citations

12.

Biggs, John. (1991). Multimodal Learning and the Quality of Intelligent Behavior. Medical Entomology and Zoology. 57–76. 121 indexed citations

13.

Biggs, John. (1991). Towards a Theology for the Environment. Baptist Quarterly. 34(1). 33–42. 2 indexed citations

14.

Biggs, John, et al.. (1991). The Psychology of Flight Training. Medical Entomology and Zoology. 7 indexed citations

15.

Balla, J., et al.. (1990). The application of basic science concepts to clinical problem‐solving. Medical Education. 24(2). 137–147. 42 indexed citations

16.

Biggs, John, et al.. (1979). Pupil Evaluation of Teachers. Australian Journal of Education. 23(1). 45–57. 3 indexed citations

17.

Biggs, John & Kevin F. Collis. (1977). Evaluating the Quality of Learning: The Solo Taxonomy : Structure of the Observed Learning Outcome. Medical Entomology and Zoology. 747 indexed citations breakdown →

18.

Biggs, John & Peter Braun. (1972). MODELS OF EVALUATION AND THEIR RELATION TO STUDENT CHARACTERISTICS. Journal of Educational Measurement. 9(4). 303–309. 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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