Daewon Pak

46 papers receiving 1.3k citations

Peers

Daewon Pak
Comparison fields: 5 of 91
  • Pollution 341
  • Catalysis 150
  • Environmental Engineering 290
  • Waste Management and Disposal 149
  • Renewable Energy, Sustainability and the Environment 268
Replace Muhammad Mursaleen Ahmad with:
Muhammad Mursaleen Ahmad China
Kadapakkam Nandabalan Yogalakshmi India
Victor M. Monsalvo Spain
Mardawani Mohamad Malaysia
Xianyang Shi China
Jingang Huang China
Jamison Watson United States
Jean‐Pierre Magnin France
PanneerSelvam SundarRajan India
Daewon Pak relative to Muhammad Mursaleen Ahmad China Muhammad Mursaleen Ahmad's profile →
Citations per field
00.5×2×3.1×
Muhammad Mursaleen Ahmad · 1×
Citations per year

Countries citing papers authored by Daewon Pak

Since Specialization
Citations

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

Fields of papers citing papers by Daewon Pak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daewon Pak, 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 Daewon Pak Line = papers co-authored together Daewon Pak links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005187
2 2011165
3 201291
4 200885
5 200868
6 200666
7 200558
8 201952
9 199048
10 200843
11 200942
12 202240
13 200338
14 199737
15 200926
16 200725
17 199922
18 200122
19
Cell age optimization for hydrogen production induced by sulfur deprivation using a green alga Chlamydomonas reinhardtii utex 90
200521
20 201421

About Daewon Pak

Daewon Pak is a scholar working on Renewable Energy, Sustainability and the Environment, Waste Management and Disposal, Pollution, Water Science and Technology and Building and Construction, having authored 55 papers that have together received 1.4k indexed citations. Recurring topics across this work include Wastewater Treatment and Nitrogen Removal (10 papers), Electrocatalysts for Energy Conversion (9 papers), Advanced oxidation water treatment (8 papers), Advanced Photocatalysis Techniques (8 papers), Anaerobic Digestion and Biogas Production (7 papers), Advanced battery technologies research (6 papers), TiO2 Photocatalysis and Solar Cells (4 papers) and Electrochemical Analysis and Applications (4 papers). The work is most often cited by research in Pollution (341 citations), Catalysis (150 citations), Environmental Engineering (290 citations), Waste Management and Disposal (149 citations) and Renewable Energy, Sustainability and the Environment (268 citations). Daewon Pak has collaborated with scholars based in South Korea, Pakistan and United States. Frequent co-authors include Yong-Jin Choi, Jae Hyung Kim, Jayeeta Chattopadhyay, Won Seok Chang, Won-Seok Chang, Raehyun Kim, Chul‐Ho Kim, Tara Sankar Pathak, Gordon A. Lewandowski and Piero M. Armenante. Their work appears in journals such as Korean Journal of Chemical Engineering, Water Science & Technology, International Journal of Hydrogen Energy, Environmental Technology and Water Research.

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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