Amit N. Shocron

29 total papers · 1.1k total citations
20 papers, 817 citations indexed

About

Amit N. Shocron is a scholar working on Biomedical Engineering, Water Science and Technology and Electrical and Electronic Engineering. According to data from OpenAlex, Amit N. Shocron has authored 20 papers receiving a total of 817 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Biomedical Engineering, 14 papers in Water Science and Technology and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Amit N. Shocron's work include Membrane-based Ion Separation Techniques (16 papers), Membrane Separation Technologies (14 papers) and Ammonia Synthesis and Nitrogen Reduction (6 papers). Amit N. Shocron is often cited by papers focused on Membrane-based Ion Separation Techniques (16 papers), Membrane Separation Technologies (14 papers) and Ammonia Synthesis and Nitrogen Reduction (6 papers). Amit N. Shocron collaborates with scholars based in Israel, United States and Netherlands. Amit N. Shocron's co-authors include Matthew E. Suss, Eric N. Guyes, Michele Tedesco, Xiao Su, K. Khoiruddin, Martin Z. Bazant, Nayeong Kim, J. Pedro de Souza, Kameron M. Conforti and Juan G. Santiago and has published in prestigious journals such as Chemical Reviews, Water Research and Chemical Engineering Journal.

In The Last Decade

Amit N. Shocron

18 papers receiving 797 citations

Hit Papers

Electrochemical Methods f... 2022 2026 2023 2024 2022 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Amit N. Shocron 584 476 414 97 71 20 817
Eric N. Guyes 585 1.0× 476 1.0× 367 0.9× 78 0.8× 85 1.2× 10 765
Diego I. Oyarzun 523 0.9× 405 0.9× 325 0.8× 81 0.8× 141 2.0× 20 726
Lei Wang 627 1.1× 438 0.9× 571 1.4× 66 0.7× 33 0.5× 18 847
Jeyong Yoon 535 0.9× 429 0.9× 577 1.4× 142 1.5× 34 0.5× 10 845
Lvji Yan 327 0.6× 392 0.8× 312 0.8× 84 0.9× 70 1.0× 28 771
Sareh Vafakhah 475 0.8× 437 0.9× 425 1.0× 34 0.4× 34 0.5× 26 745
Dun Wei 468 0.8× 298 0.6× 400 1.0× 77 0.8× 96 1.4× 36 732
Kaustub Singh 713 1.2× 513 1.1× 508 1.2× 51 0.5× 98 1.4× 11 826
Hongsik Yoon 576 1.0× 499 1.0× 434 1.0× 50 0.5× 36 0.5× 34 915
E. Expósito 326 0.6× 469 1.0× 346 0.8× 349 3.6× 43 0.6× 26 937

Countries citing papers authored by Amit N. Shocron

Since Specialization
Citations

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

Fields of papers citing papers by Amit N. Shocron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amit N. Shocron. 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 Amit N. Shocron. The network helps show where Amit N. Shocron may publish in the future.

Co-authorship network of co-authors of Amit N. Shocron

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

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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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