D. Kim

685 citations
3 papers · 519 · h-index 3

Impact in

Papers in

Journals
Journal of Climate (1 paper)MELSpace (ICARDA (The International Center for Agricultural Research in Dry Areas)) (1 paper)Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics (1 paper)

In The Last Decade

D. Kim

3 papers receiving 507 citations

Peers

D. Kim
Comparison fields: 5 of 87
  • Atmospheric Science 259
  • Global and Planetary Change 286
  • Statistical and Nonlinear Physics 141
  • Oceanography 96
  • General Energy 5
Replace Emily Jin with:
Emily Jin United States
Anna Trevisan Italy
Geli Wang China
Nikola Jajcay Czechia
Gábor Drótos Hungary
Kazuko Yamasaki Japan
Henrik Feddersen Denmark
Evgeny Loskutov Russia
Sergey Kirshner United States
Joel Tenenbaum United States
D. Kim relative to Emily Jin United States Emily Jin's profile →
Citations per field
00.5×5.1×
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Citations per year

Countries citing papers authored by D. Kim

Since Specialization
Citations

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

Fields of papers citing papers by D. Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside D. Kim, 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 D. Kim Line = papers co-authored together D. Kim links everyone, so they are left out of the graph.

All Works

3 of 3 papers shown
#Work
1 2008278
2 2003225
3
Influence of Grid Cell Size and Flow Routing Algorithm on Soil-Landform Modeling
200916

About D. Kim

D. Kim is a scholar working on Geometry and Topology, Statistical and Nonlinear Physics, Atmospheric Science, Environmental Engineering and Soil Science, having authored 3 papers that have together received 519 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (1 paper), Hydrology and Watershed Management Studies (1 paper), Soil Geostatistics and Mapping (1 paper), Soil erosion and sediment transport (1 paper), Climate variability and models (1 paper), Meteorological Phenomena and Simulations (1 paper), Atmospheric Ozone and Climate (1 paper) and Opinion Dynamics and Social Influence (1 paper). The work is most often cited by research in Atmospheric Science (259 citations), Global and Planetary Change (286 citations), Statistical and Nonlinear Physics (141 citations), Oceanography (96 citations) and General Energy (5 citations). D. Kim has collaborated with scholars based in South Korea, Australia and United Kingdom. Frequent co-authors include K.-I. Goh, B. Kahng, Eunsoon Oh, Matthew C. Wheeler, Duane E. Waliser, Chengzhu Zhang, David M. Legler, B. Wang, Wei Wang and Harry H. Hendon. Their work appears in journals such as Journal of Climate, MELSpace (ICARDA (The International Center for Agricultural Research in Dry Areas)) and Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

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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