Faraz Zaidi

794 total citations
26 papers, 478 citations indexed

About

Faraz Zaidi is a scholar working on Statistical and Nonlinear Physics, Urban Studies and Artificial Intelligence. According to data from OpenAlex, Faraz Zaidi has authored 26 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Statistical and Nonlinear Physics, 5 papers in Urban Studies and 5 papers in Artificial Intelligence. Recurrent topics in Faraz Zaidi's work include Complex Network Analysis Techniques (20 papers), Opinion Dynamics and Social Influence (10 papers) and Global Urban Networks and Dynamics (5 papers). Faraz Zaidi is often cited by papers focused on Complex Network Analysis Techniques (20 papers), Opinion Dynamics and Social Influence (10 papers) and Global Urban Networks and Dynamics (5 papers). Faraz Zaidi collaborates with scholars based in Pakistan, France and Switzerland. Faraz Zaidi's co-authors include César Ducruet, Céline Rozenblat, Arnaud Sallaberry, Guy Mélançon, Frédéric Gilbert, Fabien Jourdan, Paolo Simonetto, Romain Bourqui, Zohaib Jan and Tariq Mehmood and has published in prestigious journals such as IEEE Access, Journal of Transport Geography and IEEE Computer Graphics and Applications.

In The Last Decade

Faraz Zaidi

24 papers receiving 463 citations

Peers

Faraz Zaidi
Comparison fields: 5 of 70
  • Statistical and Nonlinear Physics 193
  • Industrial and Manufacturing Engineering 165
  • Transportation 95
  • General Economics, Econometrics and Finance 71
  • Economics and Econometrics 55
Replace Huihui Mo with:
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Antonio Iovanella Italy
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Zsolt Tibor Kosztyán Hungary
Hao Zhong United States
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Adam N. Elmachtoub United States
Michael Möhring Germany
Huihui Mo China View profile →
Citations per field, relative to Faraz Zaidi
Faraz Zaidi · 1×
Citations per year, relative to Faraz Zaidi
Faraz Zaidi · 1×

Countries citing papers authored by Faraz Zaidi

Since Specialization
Citations

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

Fields of papers citing papers by Faraz Zaidi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Faraz Zaidi

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 5
3 5
4 6
5 1
6 10
7 38
8 3
9 1
10 8
11
Tunable and Growing Network Generation Model with Community Structures
1
12 1
13 7
14 34
15 111
16 15
17 36
18 117
19
Interactive visualization and navigation of web search results revealing community structures and bridges
6
20
Identifying the Presence of Communities in Complex Networks Through Topological Decomposition and Component Densities
3

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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