Nadav Aharony

1.1k total citations
15 papers, 636 citations indexed

About

Nadav Aharony is a scholar working on Statistical and Nonlinear Physics, Transportation and Applied Psychology. According to data from OpenAlex, Nadav Aharony has authored 15 papers receiving a total of 636 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Statistical and Nonlinear Physics, 5 papers in Transportation and 4 papers in Applied Psychology. Recurrent topics in Nadav Aharony's work include Human Mobility and Location-Based Analysis (5 papers), Digital Mental Health Interventions (4 papers) and Complex Network Analysis Techniques (4 papers). Nadav Aharony is often cited by papers focused on Human Mobility and Location-Based Analysis (5 papers), Digital Mental Health Interventions (4 papers) and Complex Network Analysis Techniques (4 papers). Nadav Aharony collaborates with scholars based in United States, Israel and Italy. Nadav Aharony's co-authors include Alex Pentland, Wei Pan, Inas S. Khayal, Nicu Sebe, Jacopo Staiano, Bruno Lepri, Fabio Pianesi, Yuval Elovici, Yaniv Altshuler and Wei Pan and has published in prestigious journals such as IEEE Intelligent Systems, Pervasive and Mobile Computing and PubMed.

In The Last Decade

Nadav Aharony

14 papers receiving 611 citations

Peers

Nadav Aharony
Comparison fields: 5 of 78
  • Transportation 195
  • Sociology and Political Science 142
  • Statistical and Nonlinear Physics 132
  • Experimental and Cognitive Psychology 128
  • Computer Vision and Pattern Recognition 104
Replace Anmol Madan with:
Anmol Madan United States
Gokul Chittaranjan Switzerland
Abhinav Mehrotra United Kingdom
Mika Raento Finland
Jacopo Staiano Italy
Robert Hendley United Kingdom
Gernot Bauer Germany
Gualtiero B. Colombo United Kingdom
José San Pedro Spain
Souneil Park Spain
Anmol Madan United States View profile →
Citations per field, relative to Nadav Aharony
Nadav Aharony · 1×
Citations per year, relative to Nadav Aharony
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Countries citing papers authored by Nadav Aharony

Since Specialization
Citations

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

Fields of papers citing papers by Nadav Aharony

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nadav Aharony

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

All Works

15 of 15 papers shown
# Work Indexed citations
1
Friends don't lie: inferring personality traits from social network structure
19
2 12
3 121
4 22
5 47
6 39
7 1
8 295
9 52
10 10
11 13
12 0
13
Proceedings of the 2010 international conference on Collaborative methods for security and privacy
2
14 2
15 1

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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