Farzad Sabzikar

825 total citations · 1 hit paper
15 papers, 518 citations indexed

About

Farzad Sabzikar is a scholar working on Finance, Economics and Econometrics and Modeling and Simulation. According to data from OpenAlex, Farzad Sabzikar has authored 15 papers receiving a total of 518 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Finance, 12 papers in Economics and Econometrics and 5 papers in Modeling and Simulation. Recurrent topics in Farzad Sabzikar's work include Complex Systems and Time Series Analysis (12 papers), Financial Risk and Volatility Modeling (11 papers) and Fractional Differential Equations Solutions (5 papers). Farzad Sabzikar is often cited by papers focused on Complex Systems and Time Series Analysis (12 papers), Financial Risk and Volatility Modeling (11 papers) and Fractional Differential Equations Solutions (5 papers). Farzad Sabzikar collaborates with scholars based in United States, Singapore and New Zealand. Farzad Sabzikar's co-authors include Mark M. Meerschaert, Jinghua Chen, Mantha S. Phanikumar, Донатас Сургайлис, A. Ian McLeod, Krzysztof Burnecki, Piotr Kokoszka, Peter C.B. Phillips, Qiying Wang and Paul L. Anderson and has published in prestigious journals such as Journal of Computational Physics, Journal of Econometrics and Chaos An Interdisciplinary Journal of Nonlinear Science.

In The Last Decade

Farzad Sabzikar

14 papers receiving 493 citations

Hit Papers

Tempered fractional calculus 2014 2026 2018 2022 2014 50 100 150 200 250

Peers

Farzad Sabzikar
Comparison fields: 5 of 50
  • Modeling and Simulation 357
  • Applied Mathematics 191
  • Numerical Analysis 160
  • Finance 102
  • Statistical and Nonlinear Physics 93
Replace Antonio Mura with:
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Mark A. McKibben United States
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Antonio Mura Italy View profile →
Citations per field, relative to Farzad Sabzikar
Farzad Sabzikar · 1×
Citations per year, relative to Farzad Sabzikar
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Countries citing papers authored by Farzad Sabzikar

Since Specialization
Citations

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

Fields of papers citing papers by Farzad Sabzikar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Farzad Sabzikar

This figure shows the co-authorship network connecting the top 25 collaborators of Farzad Sabzikar. A scholar is included among the top collaborators of Farzad Sabzikar 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 Farzad Sabzikar. Farzad Sabzikar 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 3
2 4
3 1
4 2
5 1
6 0
7 1
8 10
9 8
10 14
11 36
12
Tempered fractional calculus breakdown →
280
13 12
14 67
15 79

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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