Hae‐Deok Song

77 total papers · 918 total citations
47 papers, 590 citations indexed

About

Hae‐Deok Song is a scholar working on Information Systems, Education and Developmental and Educational Psychology. According to data from OpenAlex, Hae‐Deok Song has authored 47 papers receiving a total of 590 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Information Systems, 16 papers in Education and 9 papers in Developmental and Educational Psychology. Recurrent topics in Hae‐Deok Song's work include Education and Learning Interventions (18 papers), Innovative Teaching and Learning Methods (8 papers) and Online and Blended Learning (7 papers). Hae‐Deok Song is often cited by papers focused on Education and Learning Interventions (18 papers), Innovative Teaching and Learning Methods (8 papers) and Online and Blended Learning (7 papers). Hae‐Deok Song collaborates with scholars based in South Korea and United States. Hae‐Deok Song's co-authors include Ah Jeong Hong, Hye Jeong Kim, Barbara L. Grabowski, Tiffany A. Koszalka, Taehoon Kang, Cheolil Lim, Eun-A Park, Young-Hoon Kim, Hyemin Lee and W. L. Harkness and has published in prestigious journals such as SHILAP Revista de lepidopterología, Frontiers in Psychology and Sustainability.

In The Last Decade

Hae‐Deok Song

37 papers receiving 537 citations

Hit Papers

The roles of academic eng... 2019 2026 2021 2023 2019 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Hae‐Deok Song 312 162 124 112 75 47 590
Huma Akram 305 1.0× 167 1.0× 80 0.6× 80 0.7× 80 1.1× 32 622
Ah Choo Koo 374 1.2× 181 1.1× 134 1.1× 144 1.3× 46 0.6× 53 652
Ah Jeong Hong 346 1.1× 198 1.2× 141 1.1× 75 0.7× 57 0.8× 32 692
Junghoon Leem 420 1.3× 142 0.9× 116 0.9× 175 1.6× 65 0.9× 41 597
Frank Reinhold 418 1.3× 174 1.1× 103 0.8× 179 1.6× 35 0.5× 50 677
Haruni Machumu 350 1.1× 147 0.9× 93 0.8× 65 0.6× 68 0.9× 32 549
Michael Corry 307 1.0× 129 0.8× 85 0.7× 115 1.0× 50 0.7× 29 528
Eunmo Sung 305 1.0× 174 1.1× 69 0.6× 119 1.1× 59 0.8× 60 621
Ümmühan Avcı 283 0.9× 104 0.6× 96 0.8× 132 1.2× 44 0.6× 42 534
Linda Daniela 313 1.0× 192 1.2× 133 1.1× 83 0.7× 28 0.4× 55 640

Countries citing papers authored by Hae‐Deok Song

Since Specialization
Citations

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

Fields of papers citing papers by Hae‐Deok Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hae‐Deok Song. 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 Hae‐Deok Song. The network helps show where Hae‐Deok Song may publish in the future.

Co-authorship network of co-authors of Hae‐Deok Song

This figure shows the co-authorship network connecting the top 25 collaborators of Hae‐Deok Song. A scholar is included among the top collaborators of Hae‐Deok Song 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 Hae‐Deok Song. Hae‐Deok Song 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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