Farnik Nikakhtar

402 total citations
19 papers, 163 citations indexed

About

Farnik Nikakhtar is a scholar working on Astronomy and Astrophysics, Instrumentation and Statistical and Nonlinear Physics. According to data from OpenAlex, Farnik Nikakhtar has authored 19 papers receiving a total of 163 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Astronomy and Astrophysics, 7 papers in Instrumentation and 6 papers in Statistical and Nonlinear Physics. Recurrent topics in Farnik Nikakhtar's work include Galaxies: Formation, Evolution, Phenomena (10 papers), Astronomy and Astrophysical Research (7 papers) and Cosmology and Gravitation Theories (6 papers). Farnik Nikakhtar is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (10 papers), Astronomy and Astrophysical Research (7 papers) and Cosmology and Gravitation Theories (6 papers). Farnik Nikakhtar collaborates with scholars based in United States, Italy and France. Farnik Nikakhtar's co-authors include Ravi K. Sheth, H. Domínguez Sánchez, Mariangela Bernardi, Berta Margalef-Bentabol, M. Reza Rahimi Tabar, Shant Baghram, Azadeh Moradinezhad Dizgah, Emanuele Castorina, Garrett K. Keating and Roya Mohayaee and has published in prestigious journals such as Physical Review Letters, Monthly Notices of the Royal Astronomical Society and New Journal of Physics.

In The Last Decade

Farnik Nikakhtar

17 papers receiving 150 citations

Peers

Farnik Nikakhtar
Camille Avestruz United States
B. Chan United States
Pauline Zarrouk United Kingdom
Elisa Chisari United Kingdom
Farnik Nikakhtar
Citations per year, relative to Farnik Nikakhtar Farnik Nikakhtar (= 1×) peers M. V. Costa-Duarte

Countries citing papers authored by Farnik Nikakhtar

Since Specialization
Citations

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

Fields of papers citing papers by Farnik Nikakhtar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Farnik Nikakhtar

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

All Works

19 of 19 papers shown
1.
Sanderson, Robyn E., et al.. (2024). Generating synthetic star catalogs from simulated datafor next-gen observatories with py-ananke. The Journal of Open Source Software. 9(102). 6234–6234. 1 indexed citations
2.
Tabar, M. Reza Rahimi, et al.. (2024). Revealing Higher-Order Interactions in High-Dimensional Complex Systems: A Data-Driven Approach. Physical Review X. 14(1). 11 indexed citations
3.
Gaines, Sasha, Farnik Nikakhtar, Nikhil Padmanabhan, & Ravi K. Sheth. (2024). Leveraging protohalos and scale-dependent bias to calibrate the BAO scale in real space. Physical review. D. 110(10). 1 indexed citations
4.
Nikakhtar, Farnik, Ravi K. Sheth, Nikhil Padmanabhan, Bruno Lévy, & Roya Mohayaee. (2024). Displacement field analysis via optimal transport: Multitracer approach to cosmological reconstruction. Physical review. D. 109(12). 4 indexed citations
5.
Lee, J, Farnik Nikakhtar, Aseem Paranjape, & Ravi K. Sheth. (2024). Eigen-decomposition of covariance matrices: An application to the BAO linear point. Physical review. D. 110(10). 1 indexed citations
6.
Nikakhtar, Farnik, et al.. (2023). Data-driven reconstruction of stochastic dynamical equations based on statistical moments. New Journal of Physics. 25(8). 83025–83025. 9 indexed citations
7.
Chakrabarti, Sukanya, et al.. (2023). Building an Acceleration Ladder with Tidal Streams and Pulsar Timing. The Astrophysical Journal Letters. 945(2). L32–L32. 3 indexed citations
8.
Nikakhtar, Farnik, Nikhil Padmanabhan, Bruno Lévy, Ravi K. Sheth, & Roya Mohayaee. (2023). Optimal transport reconstruction of biased tracers in redshift space. Physical review. D. 108(8). 6 indexed citations
9.
Beaton, Rachael L., Suzanne Werner, A. W. Mitschang, et al.. (2022). APOGEE-centric Ananke Simulations in a SciServer SQL Database. Research Notes of the AAS. 6(6). 125–125. 1 indexed citations
10.
Nikakhtar, Farnik, Ravi K. Sheth, Bruno Lévy, & Roya Mohayaee. (2022). Optimal Transport Reconstruction of Baryon Acoustic Oscillations. Physical Review Letters. 129(25). 251101–251101. 13 indexed citations
11.
Dizgah, Azadeh Moradinezhad, Alberto Vallinotto, & Farnik Nikakhtar. (2022). limHaloPT: A Numerical Package for Accurate Modeling ofLine Intensity Power Spectrum. The Journal of Open Source Software. 7(75). 4173–4173. 1 indexed citations
12.
Dizgah, Azadeh Moradinezhad, Farnik Nikakhtar, Garrett K. Keating, & Emanuele Castorina. (2022). Precision tests of CO and [CII] power spectra models against simulated intensity maps. Journal of Cosmology and Astroparticle Physics. 2022(2). 26–26. 25 indexed citations
13.
Nikakhtar, Farnik, Ravi K. Sheth, & Idit Zehavi. (2021). Laguerre reconstruction of the correlation function on Baryon Acoustic Oscillation scales. arXiv (Cornell University). 11 indexed citations
14.
Nikakhtar, Farnik, Robyn E. Sanderson, Andrew Wetzel, et al.. (2021). New families in our Solar neighborhood: applying Gaussian Mixture models for objective classification of structures in the Milky Way and in simulations. arXiv (Cornell University). 7 indexed citations
15.
Bernardi, Mariangela, H. Domínguez Sánchez, Berta Margalef-Bentabol, Farnik Nikakhtar, & Ravi K. Sheth. (2020). The stellar mass Fundamental Plane: the virial relation and a very thin plane for slow rotators. Monthly Notices of the Royal Astronomical Society. 494(4). 5148–5160. 17 indexed citations
16.
Sánchez, H. Domínguez, Mariangela Bernardi, Farnik Nikakhtar, Berta Margalef-Bentabol, & Ravi K. Sheth. (2020). Galaxy properties as revealed by MaNGA – III. Kinematic profiles and stellar population gradients in S0s. Monthly Notices of the Royal Astronomical Society. 495(3). 2894–2908. 24 indexed citations
17.
Baghram, Shant, Farnik Nikakhtar, M. Reza Rahimi Tabar, et al.. (2019). Exact enumeration approach to first-passage time distribution of non-Markov random walks. Physical review. E. 99(6). 62101–62101. 7 indexed citations
18.
Nikakhtar, Farnik, Mohammadreza Ayromlou, Shant Baghram, et al.. (2018). The Excursion set approach: Stratonovich approximation and Cholesky decomposition. Monthly Notices of the Royal Astronomical Society. 478(4). 5296–5300. 14 indexed citations
19.
Nikakhtar, Farnik & Shant Baghram. (2017). Matrix formalism of excursion set theory: A new approach to statistics of dark matter halo counting. Physical review. D. 96(4). 7 indexed citations

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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