Tae Gab Ha

44 total papers · 436 total citations
30 papers, 328 citations indexed

About

Tae Gab Ha is a scholar working on Control and Systems Engineering, Computational Theory and Mathematics and Mathematical Physics. According to data from OpenAlex, Tae Gab Ha has authored 30 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Control and Systems Engineering, 25 papers in Computational Theory and Mathematics and 24 papers in Mathematical Physics. Recurrent topics in Tae Gab Ha's work include Stability and Controllability of Differential Equations (26 papers), Advanced Mathematical Physics Problems (23 papers) and Advanced Mathematical Modeling in Engineering (23 papers). Tae Gab Ha is often cited by papers focused on Stability and Controllability of Differential Equations (26 papers), Advanced Mathematical Physics Problems (23 papers) and Advanced Mathematical Modeling in Engineering (23 papers). Tae Gab Ha collaborates with scholars based in South Korea and United States. Tae Gab Ha's co-authors include Jong Yeoul Park, Sun‐Hye Park, Yong Han Kang, Il Hyo Jung, Hailiang Liu, Dae-Wook Kim, YunKyong Hyon and Wonyoung Choi and has published in prestigious journals such as Journal of Mathematical Analysis and Applications, Journal of Mathematical Physics and Computers & Mathematics with Applications.

In The Last Decade

Tae Gab Ha

29 papers receiving 292 citations

Author Peers

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

Author Last Decade Papers Cites
Tae Gab Ha 281 272 254 37 20 30 328
Anna Doubova 265 0.9× 251 0.9× 224 0.9× 64 1.7× 19 0.9× 19 331
Farid Ammar Khodja 300 1.1× 270 1.0× 184 0.7× 54 1.5× 8 0.4× 20 316
Kim Dang Phung 328 1.2× 291 1.1× 237 0.9× 47 1.3× 6 0.3× 19 364
Shugen Chai 332 1.2× 290 1.1× 275 1.1× 16 0.4× 14 0.7× 50 352
Marié Grobbelaar‐Van Dalsen 304 1.1× 263 1.0× 122 0.5× 82 2.2× 62 3.1× 30 336
F. D. Araruna 232 0.8× 159 0.6× 120 0.5× 69 1.9× 8 0.4× 33 263
Jum‐Ran Kang 296 1.1× 238 0.9× 173 0.7× 68 1.8× 5 0.3× 46 302
Matthieu Léautaud 315 1.1× 274 1.0× 264 1.0× 55 1.5× 4 0.2× 26 352
Marina Ghisi 257 0.9× 192 0.7× 220 0.9× 153 4.1× 9 0.5× 49 348
Fatiha Alabau 226 0.8× 210 0.8× 172 0.7× 19 0.5× 14 0.7× 17 274

Countries citing papers authored by Tae Gab Ha

Since Specialization
Citations

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

Fields of papers citing papers by Tae Gab Ha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tae Gab Ha. 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 Tae Gab Ha. The network helps show where Tae Gab Ha may publish in the future.

Co-authorship network of co-authors of Tae Gab Ha

This figure shows the co-authorship network connecting the top 25 collaborators of Tae Gab Ha. A scholar is included among the top collaborators of Tae Gab Ha 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 Tae Gab Ha. Tae Gab Ha 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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