Kyle Barcus

1.2k citations
9 papers · 1.0k indexed · 1 hit paper · h-index 8

Kyle Barcus

9 papers receiving 1.0k citations

Hit Papers

MOF-Polymer Hybrid Materials: From Simple Composites to T...6942020202620222024200400600

Peers

Kyle Barcus
Comparison fields: 5 of 60
  • Inorganic Chemistry 677
  • Materials Chemistry 604
  • Water Science and Technology 131
  • Process Chemistry and Technology 24
  • Polymers and Plastics 95
Replace Bohan Shan with:
Bohan Shan United States
Sergej Springer Germany
Roman Nayuk Germany
Timothée Stassin Belgium
Kristen A. Colwell United States
Ina Strauß Germany
Yeonshick Yoo South Korea
UnJin Ryu South Korea
Chengli Jiao China
Javier Fonseca Spain
Kyle Barcus relative to Bohan Shan United States Bohan Shan's profile →
Citations per field
00.5×1.5×
Bohan Shan · 1×
Citations per year

Countries citing papers authored by Kyle Barcus

Since Specialization
Citations

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

Fields of papers citing papers by Kyle Barcus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 16 scholars most cited alongside Kyle Barcus, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kyle Barcus Line = papers co-authored together Kyle Barcus links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 20252
2 202317
3 202228
4 202138
5
MOF-Polymer Hybrid Materials: From Simple Composites to Tailored Architecturesbreakdown →
2020694
6 202041
7 201983
8 2019114
9 20178

About Kyle Barcus

Kyle Barcus is a scholar working on Inorganic Chemistry, Polymers and Plastics, Surfaces, Coatings and Films, Physical and Theoretical Chemistry and Materials Chemistry, having authored 9 papers that have together received 1.0k indexed citations. Recurring topics across this work include Metal-Organic Frameworks: Synthesis and Applications (8 papers), Membrane Separation and Gas Transport (2 papers), Perovskite Materials and Applications (1 paper), Nanocluster Synthesis and Applications (1 paper), Molecular Sensors and Ion Detection (1 paper), Conducting polymers and applications (1 paper), Quantum Dots Synthesis And Properties (1 paper) and Machine Learning in Materials Science (1 paper). The work is most often cited by research in Inorganic Chemistry (677 citations), Materials Chemistry (604 citations), Water Science and Technology (131 citations), Process Chemistry and Technology (24 citations) and Polymers and Plastics (95 citations). Kyle Barcus has collaborated with scholars based in United States and Japan. Frequent co-authors include Seth M. Cohen, Mark Kalaj, Yuji Katayama, Joseph M. Palomba, Kyle C. Bentz, Sergio Ayala, Jin Yeong Kim, Mohammad R. Momeni, Francesco Paesani and Yilong Zhou. Their work appears in journals such as Journal of the American Chemical Society, ACS Nano, Chemical Communications, Chemical Reviews and Coordination Chemistry Reviews.

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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