Maedeh Mohammadifar

42 total papers · 787 total citations
32 papers, 626 citations indexed

About

Maedeh Mohammadifar is a scholar working on Environmental Engineering, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Maedeh Mohammadifar has authored 32 papers receiving a total of 626 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Environmental Engineering, 20 papers in Biomedical Engineering and 17 papers in Electrical and Electronic Engineering. Recurrent topics in Maedeh Mohammadifar's work include Microbial Fuel Cells and Bioremediation (24 papers), Electrochemical sensors and biosensors (14 papers) and Biosensors and Analytical Detection (10 papers). Maedeh Mohammadifar is often cited by papers focused on Microbial Fuel Cells and Bioremediation (24 papers), Electrochemical sensors and biosensors (14 papers) and Biosensors and Analytical Detection (10 papers). Maedeh Mohammadifar collaborates with scholars based in United States and Türkiye. Maedeh Mohammadifar's co-authors include Seokheun Choi, Yang Gao, Eunyoung Cho, Daniel J. Hassett, Omowunmi A. Sadik, İdris Yazgan, Ahyeon Koh, Ji Hyun Yang, Warunya Panmanee and Victor M. Kariuki and has published in prestigious journals such as Advanced Energy Materials, Journal of Power Sources and Nano Energy.

In The Last Decade

Maedeh Mohammadifar

31 papers receiving 617 citations

Author Peers

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

Author Last Decade Papers Cites
Maedeh Mohammadifar 315 309 300 106 102 32 626
Russell C. Reid 470 1.5× 293 0.9× 66 0.2× 79 0.7× 106 1.0× 26 653
Syuhei Yoshino 521 1.7× 245 0.8× 129 0.4× 111 1.0× 35 0.3× 13 719
Prakash Rewatkar 470 1.5× 361 1.2× 99 0.3× 97 0.9× 14 0.1× 38 728
Yuchen Ding 218 0.7× 162 0.5× 102 0.3× 65 0.6× 78 0.8× 36 793
Zhiwei Peng 190 0.6× 236 0.8× 181 0.6× 74 0.7× 69 0.7× 24 769
Jae-Ik Lee 316 1.0× 232 0.8× 109 0.4× 95 0.9× 44 0.4× 41 555
Nadège Reverdy-Bruas 414 1.3× 279 0.9× 41 0.1× 51 0.5× 43 0.4× 33 605
Mikael Bergelin 432 1.4× 121 0.4× 62 0.2× 79 0.7× 34 0.3× 31 708
Zepeng Kang 537 1.7× 68 0.2× 46 0.2× 160 1.5× 29 0.3× 26 677
Giulia Massaglia 386 1.2× 147 0.5× 244 0.8× 191 1.8× 12 0.1× 37 618

Countries citing papers authored by Maedeh Mohammadifar

Since Specialization
Citations

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

Fields of papers citing papers by Maedeh Mohammadifar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maedeh Mohammadifar

This figure shows the co-authorship network connecting the top 25 collaborators of Maedeh Mohammadifar. A scholar is included among the top collaborators of Maedeh Mohammadifar 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 Maedeh Mohammadifar. Maedeh Mohammadifar 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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