Geun Ho Gu

68 total papers · 2.3k total citations
46 papers, 1.8k citations indexed

About

Geun Ho Gu is a scholar working on Materials Chemistry, Renewable Energy, Sustainability and the Environment and Electrical and Electronic Engineering. According to data from OpenAlex, Geun Ho Gu has authored 46 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Materials Chemistry, 25 papers in Renewable Energy, Sustainability and the Environment and 17 papers in Electrical and Electronic Engineering. Recurrent topics in Geun Ho Gu's work include Machine Learning in Materials Science (24 papers), Electrocatalysts for Energy Conversion (15 papers) and Fuel Cells and Related Materials (9 papers). Geun Ho Gu is often cited by papers focused on Machine Learning in Materials Science (24 papers), Electrocatalysts for Energy Conversion (15 papers) and Fuel Cells and Related Materials (9 papers). Geun Ho Gu collaborates with scholars based in South Korea, United States and United Kingdom. Geun Ho Gu's co-authors include Yousung Jung, Juhwan Noh, Sungwon Kim, Dionisios G. Vlachos, I. P. Kim, Changhyeok Choi, Akwasi A. Boateng, Charles A. Mullen, Alán Aspuru‐Guzik and Hyun S. Park and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and Angewandte Chemie International Edition.

In The Last Decade

Geun Ho Gu

42 papers receiving 1.8k citations

Author Peers

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

Author Last Decade Papers Cites
Geun Ho Gu 1.2k 714 471 410 217 46 1.8k
Juhwan Noh 1.3k 1.1× 437 0.6× 321 0.7× 385 0.9× 112 0.5× 29 1.7k
Kirsten T. Winther 1.1k 0.9× 657 0.9× 280 0.6× 420 1.0× 110 0.5× 26 1.5k
Brandon M. Wood 910 0.8× 250 0.4× 199 0.4× 462 1.1× 251 1.2× 22 1.7k
Ramazan Yıldırım 1.4k 1.2× 578 0.8× 570 1.2× 722 1.8× 247 1.1× 97 2.3k
José Antonio Garrido Torres 834 0.7× 499 0.7× 197 0.4× 692 1.7× 214 1.0× 34 1.6k
Santosh K. Suram 1.4k 1.2× 685 1.0× 126 0.3× 564 1.4× 226 1.0× 53 1.9k
M. M. Montemore 1.4k 1.2× 970 1.4× 578 1.2× 378 0.9× 180 0.8× 59 1.9k
Siwen Wang 855 0.7× 1.0k 1.4× 441 0.9× 393 1.0× 75 0.3× 26 1.4k
Aditya Nandy 1.6k 1.3× 308 0.4× 303 0.6× 232 0.6× 176 0.8× 56 2.2k
Kenta Hongo 1.2k 1.0× 531 0.7× 85 0.2× 567 1.4× 146 0.7× 110 1.9k

Countries citing papers authored by Geun Ho Gu

Since Specialization
Citations

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

Fields of papers citing papers by Geun Ho Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Geun Ho Gu. 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 Geun Ho Gu. The network helps show where Geun Ho Gu may publish in the future.

Co-authorship network of co-authors of Geun Ho Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Geun Ho Gu. A scholar is included among the top collaborators of Geun Ho Gu 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 Geun Ho Gu. Geun Ho Gu 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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