Computational and Theoretical Polymer Science · 1×
×2.81k/423BIOMA
×0.5892/2kPP
×1.6342/212SCF
×1.8199/110MM
×1.31k/804OC
Citations per year
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Countries where authors publish in Giant
Since Specialization
Citations
This map shows the geographic impact of research published in Giant. 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 papers published in Giant with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giant more than expected).
This network shows the impact of papers published in Giant. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Giant.
About Giant
The 358 papers published in Giant in the last decades have received a total of 4.9k indexed citations . Papers published in Giant usually cover Biomaterials (96 papers), Polymers and Plastics (87 papers), Surfaces, Coatings and Films (30 papers), Molecular Medicine (17 papers) and Organic Chemistry (91 papers) specifically the topics of Advanced Sensor and Energy Harvesting Materials (43 papers), Supramolecular Self-Assembly in Materials (41 papers), Advanced Polymer Synthesis and Characterization (40 papers), Advanced Materials and Mechanics (32 papers), Conducting polymers and applications (31 papers), biodegradable polymer synthesis and properties (28 papers), Block Copolymer Self-Assembly (27 papers) and Liquid Crystal Research Advancements (26 papers). The most active scholars publishing in Giant are Shiao‐Wei Kuo, Ahmed F. M. EL‐Mahdy, Hesham R. Abuzeid, Virgil Percec, An‐Chang Shi, Naseem Abbas, Muhammad Shafiq, Stephen Z. D. Cheng, Mingjie Liu and Muzamil Hussain.
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.