Amir Bashan

4.4k citations
38 papers · 2.5k indexed · 1 hit paper · h-index 19

Amir Bashan

35 papers receiving 2.5k citations

Hit Papers

Network physiology reveals relations between network topo...4902012202620162021100200300400

Peers

Amir Bashan
Comparison fields: 5 of 168
  • Statistical and Nonlinear Physics 1.0k
  • Cognitive Neuroscience 412
  • Computer Networks and Communications 384
  • Economics and Econometrics 338
  • Civil and Structural Engineering 260
Replace David Papo with:
David Papo Spain
Huijie Yang China
Daniel T. Kaplan United States
Younghae Do South Korea
Jukka-Pekka Onnela United States
Kevin Judd Australia
Thomas Richardson United Kingdom
Baruch Barzel Israel
Fernando Ballesteros Spain
Jorge Gonçalves Luxembourg
Amir Bashan relative to David Papo Spain David Papo's profile →
Citations per field
00.5×9.6×
David Papo · 1×
Citations per year

Countries citing papers authored by Amir Bashan

Since Specialization
Citations

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

Fields of papers citing papers by Amir Bashan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Amir Bashan, 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 Amir Bashan Line = papers co-authored together Amir Bashan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20235
4 20234
5 202348
6 202247
7 20223
8 202249
9 20212
10 202032
11
The universal dynamics of the human microbiome
20190
12 2015282
13 2015123
14
Network Approach to Disease Diagnosis
20141
15 201490
16
On the Dynamics of Cascading Failures in Interdependent Networks
20124
17
Critical Cascading Failures in Interdependent Networks: Non Mean-Field Behavior
20123
18
Physiological Networks: towards systems physiology
20121
19 2012194
20 2011100

About Amir Bashan

Amir Bashan is a scholar working on Statistical and Nonlinear Physics, Aging and Biophysics, having authored 38 papers that have together received 2.5k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (21 papers), Opinion Dynamics and Social Influence (9 papers), Gut microbiota and health (9 papers), Bioinformatics and Genomic Networks (6 papers), Gene Regulatory Network Analysis (5 papers), Ecosystem dynamics and resilience (5 papers), Network Security and Intrusion Detection (4 papers) and Sustainability and Ecological Systems Analysis (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.0k citations), Cognitive Neuroscience (412 citations) and Computer Networks and Communications (384 citations). Amir Bashan has collaborated with scholars based in Israel, United States and China. Frequent co-authors include Shlomo Havlin, Ronny P. Bartsch, Plamen Ch. Ivanov, Jan W. Kantelhardt, Yehiel Berezin, Sergey V. Buldyrev, Yang‐Yu Liu, Kang K. L. Liu, H. Eugene Stanley and Travis E. Gibson. Their work appears in journals such as Scientific Reports, Nature Communications, Physical review. E, Nature Physics and PLoS Computational Biology.

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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