Payam Tabrizian

413 total citations
8 papers, 302 citations indexed

About

Payam Tabrizian is a scholar working on Global and Planetary Change, Health, Toxicology and Mutagenesis and Environmental Engineering. According to data from OpenAlex, Payam Tabrizian has authored 8 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Global and Planetary Change, 4 papers in Health, Toxicology and Mutagenesis and 4 papers in Environmental Engineering. Recurrent topics in Payam Tabrizian's work include Land Use and Ecosystem Services (5 papers), Urban Green Space and Health (4 papers) and Urban Heat Island Mitigation (3 papers). Payam Tabrizian is often cited by papers focused on Land Use and Ecosystem Services (5 papers), Urban Green Space and Health (4 papers) and Urban Heat Island Mitigation (3 papers). Payam Tabrizian collaborates with scholars based in United States and China. Payam Tabrizian's co-authors include Perver Baran, Ross K. Meentemeyer, William R. Smith, Jordan W. Smith, Yujia Zhai, Helena Mitášová, Myron F. Floyd, Anna Petrášová, Derek Van Berkel and Václav Petráš and has published in prestigious journals such as Landscape and Urban Planning, Journal of Environmental Psychology and Urban forestry & urban greening.

In The Last Decade

Payam Tabrizian

8 papers receiving 294 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Payam Tabrizian United States 7 207 117 86 54 41 8 302
Mark Lindquist United States 9 268 1.3× 279 2.4× 90 1.0× 65 1.2× 33 0.8× 21 512
Kotaroh HIRATE Japan 9 188 0.9× 117 1.0× 80 0.9× 89 1.6× 71 1.7× 85 447
Mahdieh Pazhouhanfar Iran 10 270 1.3× 121 1.0× 105 1.2× 66 1.2× 74 1.8× 22 394
Stefan Lindberg Sweden 7 197 1.0× 151 1.3× 38 0.4× 28 0.5× 85 2.1× 19 359
Lene Lottrup Denmark 3 292 1.4× 64 0.5× 91 1.1× 94 1.7× 76 1.9× 4 361
Matthew Andrews United Kingdom 4 295 1.4× 71 0.6× 55 0.6× 79 1.5× 83 2.0× 5 350
Youngeun Kang South Korea 11 112 0.5× 68 0.6× 52 0.6× 32 0.6× 59 1.4× 53 424
Chanuki Illushka Seresinhe United Kingdom 7 157 0.8× 162 1.4× 49 0.6× 39 0.7× 41 1.0× 8 404
Robin Hoffman United States 5 231 1.1× 213 1.8× 80 0.9× 32 0.6× 78 1.9× 8 405
Therése Lindgren Sweden 6 271 1.3× 152 1.3× 54 0.6× 60 1.1× 38 0.9× 10 348

Countries citing papers authored by Payam Tabrizian

Since Specialization
Citations

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

Fields of papers citing papers by Payam Tabrizian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Payam Tabrizian

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

All Works

8 of 8 papers shown
1.
Tabrizian, Payam, Anna Petrášová, Perver Baran, et al.. (2020). High Resolution Viewscape Modeling Evaluated Through Immersive Virtual Environments. ISPRS International Journal of Geo-Information. 9(7). 445–445. 9 indexed citations
2.
Tabrizian, Payam, Perver Baran, Derek Van Berkel, Helena Mitášová, & Ross K. Meentemeyer. (2019). Modeling restorative potential of urban environments by coupling viewscape analysis of lidar data with experiments in immersive virtual environments. Landscape and Urban Planning. 195. 103704–103704. 43 indexed citations
3.
Tabrizian, Payam. (2018). Integrating Geospatial Computation, Virtual Reality and Tangible Interaction to Improve Landscape Design and Research.. NCSU Libraries Repository (North Carolina State University Libraries). 1 indexed citations
4.
Petrášová, Anna, B. A. Harmon, Václav Petráš, Payam Tabrizian, & Helena Mitášová. (2018). Tangible Modeling with Open Source GIS. 23 indexed citations
5.
Tabrizian, Payam, Perver Baran, William R. Smith, & Ross K. Meentemeyer. (2018). Exploring perceived restoration potential of urban green enclosure through immersive virtual environments. Journal of Environmental Psychology. 55. 99–109. 118 indexed citations
6.
Tabrizian, Payam, Anna Petrášová, Václav Petráš, et al.. (2018). Tangible Landscape. Civil War Book Review. 1–12. 10 indexed citations
7.
Baran, Perver, Payam Tabrizian, Yujia Zhai, Jordan W. Smith, & Myron F. Floyd. (2018). An exploratory study of perceived safety in a neighborhood park using immersive virtual environments. Urban forestry & urban greening. 35. 72–81. 88 indexed citations
8.
Tabrizian, Payam, Anna Petrášová, B. A. Harmon, et al.. (2016). Immersive tangible geospatial modeling. Civil War Book Review. 1–4. 10 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026