Jeff Furlong

12 papers receiving 497 citations

Peers

Jeff Furlong
Comparison fields: 5 of 87
  • Immunology 270
  • Epidemiology 156
  • Pulmonary and Respiratory Medicine 131
  • Molecular Biology 85
  • Public Health, Environmental and Occupational Health 62
Replace John J. Erickson with:
John J. Erickson United States
Mardi C. Boer Netherlands
Claudio Giuseppe Molteni Italy
Cory J. Knudson United States
Anamika Verma India
Sabine Stegemann‐Koniszewski Germany
Janet Wells United States
Nathaniel D. Lambert United States
Martial Jaume France
Bosco Ho‐Yin Wong Hong Kong
Jeff Furlong relative to John J. Erickson United States John J. Erickson's profile →
Citations per field
00.5×3.1×
John J. Erickson · 1×
Citations per year

Countries citing papers authored by Jeff Furlong

Since Specialization
Citations

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

Fields of papers citing papers by Jeff Furlong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeff Furlong

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1 1
2 0
3 362
4 44
5 1
6 3
7 2
8 15
9 1
10 52
11
A Study Examining the Possibility of Obtaining Traceability to UK National Standards of Time and Frequency Using GPS-Disciplined Oscillators
6
12
A study examining the possibility of obtaining traceability to UK National Standards using GPS disciplined oscillators.
2
13
Report on the study to determine the suitability of GPS disciplined oscillators as time and frequency standards traceable to the UK national time scale UTC (NPL).
18

About Jeff Furlong

Jeff Furlong is a scholar working on Hardware and Architecture, Statistics, Probability and Uncertainty and Hepatology, having authored 13 papers that have together received 507 indexed citations. Recurring topics across this work include Neural dynamics and brain function (2 papers), Advanced Frequency and Time Standards (2 papers) and Advanced Memory and Neural Computing (2 papers). The work is most often cited by research in Immunology (270 citations), Epidemiology (156 citations) and Pulmonary and Respiratory Medicine (131 citations). Jeff Furlong has collaborated with scholars based in United States, Canada and South Africa. Frequent co-authors include Juliet Crabtree, Tobias R. Kollmann, Darren Blimkie, Adeline M. Hajjar, Annie Rein‐Weston, Pascal M. Lavoie, Edgardo S. Fortuno, Natalie Hawkins, Christopher B. Wilson and Steven G. Self. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and Journal of Immunological Methods.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026