Parisa Khoram

9 total papers · 1.0k total citations
7 papers, 926 citations indexed

About

Parisa Khoram is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Polymers and Plastics. According to data from OpenAlex, Parisa Khoram has authored 7 papers receiving a total of 926 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Electrical and Electronic Engineering, 4 papers in Materials Chemistry and 2 papers in Polymers and Plastics. Recurrent topics in Parisa Khoram's work include Perovskite Materials and Applications (6 papers), Quantum Dots Synthesis And Properties (3 papers) and Organic Electronics and Photovoltaics (2 papers). Parisa Khoram is often cited by papers focused on Perovskite Materials and Applications (6 papers), Quantum Dots Synthesis And Properties (3 papers) and Organic Electronics and Photovoltaics (2 papers). Parisa Khoram collaborates with scholars based in Netherlands, United States and Hong Kong. Parisa Khoram's co-authors include Tayebeh Ameri, Christoph J. Brabec, Jie Min, Erik C. Garnett, Sarah Brittman, Yanqi Luo, Barry Lai, Zhuoying Zhu, Shyue Ping Ong and David P. Fenning and has published in prestigious journals such as Advanced Materials, Nano Letters and The Journal of Physical Chemistry C.

In The Last Decade

Parisa Khoram

6 papers receiving 919 citations

Hit Papers

Organic Ternary Solar Cel... 2013 2026 2017 2021 2013 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Parisa Khoram 886 617 265 69 42 7 926
Ming‐Shin Su 784 0.9× 642 1.0× 167 0.6× 70 1.0× 64 1.5× 7 827
Yun Liu 871 1.0× 542 0.9× 252 1.0× 93 1.3× 70 1.7× 21 958
Xiaozhou Che 1.1k 1.2× 839 1.4× 148 0.6× 51 0.7× 74 1.8× 11 1.1k
Emily M. Speller 745 0.8× 506 0.8× 341 1.3× 43 0.6× 81 1.9× 12 1.0k
Iván Ramírez 1.1k 1.3× 503 0.8× 622 2.3× 68 1.0× 30 0.7× 13 1.2k
J. Dane 788 0.9× 574 0.9× 148 0.6× 41 0.6× 123 2.9× 11 862
Jiu‐Dong Lin 873 1.0× 528 0.9× 302 1.1× 33 0.5× 33 0.8× 13 912
Eric Richard 1.2k 1.3× 1.0k 1.7× 128 0.5× 76 1.1× 56 1.3× 8 1.2k
Florent Deledalle 854 1.0× 598 1.0× 174 0.7× 69 1.0× 54 1.3× 11 890
Clemens Veit 885 1.0× 689 1.1× 195 0.7× 100 1.4× 75 1.8× 13 939

Countries citing papers authored by Parisa Khoram

Since Specialization
Citations

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

Fields of papers citing papers by Parisa Khoram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Parisa Khoram

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

All Works

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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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