Muna Hindiyeh

35 total papers · 1.1k total citations
25 papers, 784 citations indexed

About

Muna Hindiyeh is a scholar working on Water Science and Technology, Ecology and Environmental Chemistry. According to data from OpenAlex, Muna Hindiyeh has authored 25 papers receiving a total of 784 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Water Science and Technology, 7 papers in Ecology and 6 papers in Environmental Chemistry. Recurrent topics in Muna Hindiyeh's work include Water-Energy-Food Nexus Studies (6 papers), Microbial Community Ecology and Physiology (6 papers) and Aquatic Ecosystems and Phytoplankton Dynamics (4 papers). Muna Hindiyeh is often cited by papers focused on Water-Energy-Food Nexus Studies (6 papers), Microbial Community Ecology and Physiology (6 papers) and Aquatic Ecosystems and Phytoplankton Dynamics (4 papers). Muna Hindiyeh collaborates with scholars based in Jordan, Israel and Palestinian Territory. Muna Hindiyeh's co-authors include Mohammed Matouq, M. Qtaishat, Danny Ionescu, Hans‐Peter Grossart, Mina Bižić, Werner Eckert, Alicia M. Muro‐Pastor, Marco Günthel, Thomas Klintzsch and Frank Keppler and has published in prestigious journals such as SHILAP Revista de lepidopterología, Science Advances and Desalination.

In The Last Decade

Muna Hindiyeh

25 papers receiving 753 citations

Hit Papers

Aquatic and terrestrial c... 2020 2026 2022 2024 2020 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Muna Hindiyeh 240 173 164 128 125 25 784
Linlin Shang 165 0.7× 338 2.0× 160 1.0× 42 0.3× 369 3.0× 20 832
Wei Tang 224 0.9× 88 0.5× 87 0.5× 64 0.5× 100 0.8× 20 715
Yili Huang 164 0.7× 47 0.3× 216 1.3× 90 0.7× 84 0.7× 37 896
Jing Li 84 0.3× 139 0.8× 253 1.5× 84 0.7× 178 1.4× 52 770
Noriko Tomioka 93 0.4× 270 1.6× 227 1.4× 68 0.5× 175 1.4× 41 702
Yang Liu 146 0.6× 75 0.4× 208 1.3× 81 0.6× 43 0.3× 34 699
Dominique Fontvieille 120 0.5× 339 2.0× 423 2.6× 26 0.2× 228 1.8× 35 858
Katarzyna Jankowska 173 0.7× 70 0.4× 210 1.3× 49 0.4× 99 0.8× 39 856
Javier Moreno‐Andrés 287 1.2× 38 0.2× 92 0.6× 248 1.9× 106 0.8× 37 864
Özge Eyice 116 0.5× 127 0.7× 221 1.3× 76 0.6× 61 0.5× 30 892

Countries citing papers authored by Muna Hindiyeh

Since Specialization
Citations

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

Fields of papers citing papers by Muna Hindiyeh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muna Hindiyeh

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