Jeff Jones

56 papers receiving 705 citations

Peers

Jeff Jones
Comparison fields: 5 of 115
  • Ecology, Evolution, Behavior and Systematics 360
  • Biomedical Engineering 501
  • Plant Science 295
  • Archeology 8
  • Computational Theory and Mathematics 120
Replace Tomohiro Shirakawa with:
Tomohiro Shirakawa Japan
Michail‐Antisthenis Tsompanas United Kingdom
Andrew Schumann Poland
Klaus‐Peter Zauner United Kingdom
Takayuki Niizato Japan
Taoyang Wu United Kingdom
Yoshiaki Watanabe Japan
Shaoping Chen China
Etienne Farcot United Kingdom
Tim Kovacs United Kingdom
Jeff Jones relative to Tomohiro Shirakawa Japan Tomohiro Shirakawa's profile →
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Citations per year

Countries citing papers authored by Jeff Jones

Since Specialization
Citations

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

Fields of papers citing papers by Jeff Jones

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jeff Jones, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jeff Jones Line = papers co-authored together Jeff Jones links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201074
2 201366
3
Network Division Method Based on Cellular Growth and Physarum-inspired Network Adaptation.
201743
4 201138
5 200836
6 201030
7 201029
8 202326
9 201521
10 201619
11 201119
12 200918
13 201018
14 201418
15 201318
16
Storyteller: the many lives of Laurens van der Post
200117
17 201517
18 201514
19 201113
20 201212

About Jeff Jones

Jeff Jones is a scholar working on Ecology, Evolution, Behavior and Systematics, Biomedical Engineering, Plant Science, Biomaterials and Computational Theory and Mathematics, having authored 58 papers that have together received 732 indexed citations. Recurring topics across this work include Slime Mold and Myxomycetes Research (40 papers), Biocrusts and Microbial Ecology (29 papers), Plant and Biological Electrophysiology Studies (24 papers), Diatoms and Algae Research (7 papers), Modular Robots and Swarm Intelligence (6 papers), Topological and Geometric Data Analysis (6 papers), Reservoir Engineering and Simulation Methods (2 papers) and Blood groups and transfusion (2 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (360 citations), Biomedical Engineering (501 citations), Plant Science (295 citations), Archeology (8 citations) and Computational Theory and Mathematics (120 citations). Jeff Jones has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Andrew Adamatzky, Soichiro Tsuda, Yong Sheng Deng, Richard Mayne, Eduardo Reck Miranda, Rachel Armstrong, Alexander A. Safonov, James G. H. Whiting, M. D. Levin and Larry Bull. Their work appears in journals such as Natural Computing, Bioinspiration & Biomimetics, International Journal of General Systems, Scientific Reports and Vox Sanguinis.

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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