Eungdo Kim

669 citations
39 papers · 485 · h-index 15

Impact in

Papers in

Eungdo Kim

36 papers receiving 470 citations

Peers

Eungdo Kim
Comparison fields: 5 of 95
  • Management of Technology and Innovation 156
  • Strategy and Management 209
  • Business and International Management 16
  • Economics and Econometrics 200
  • Medical Laboratory Technology 8
Replace Kwangsoo Shin with:
Kwangsoo Shin South Korea
Hammad Akbar United Kingdom
Cesare Antonio Fabio Riillo Germany
Beatriz Minguela Rata Spain
Gustavo Dalmarco Brazil
Virginia Acha United Kingdom
Robert Boylan United States
Thomas Klueter United States
Edwin Garces United States
Sofía Estellés-Miguel Spain
Eungdo Kim relative to Kwangsoo Shin South Korea Kwangsoo Shin's profile →
Citations per field
00.5×1.5×2.3×
Kwangsoo Shin · 1×
Citations per year

Countries citing papers authored by Eungdo Kim

Since Specialization
Citations

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

Fields of papers citing papers by Eungdo Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201839
2 202034
3 202334
4 201634
5 201828
6 201828
7 201821
8 202117
9 201816
10 202116
11 201815
12 201915
13 201615
14 200914
15 201814
16 201913
17 201712
18 201912
19 202211
20 201911

About Eungdo Kim

Eungdo Kim is a scholar working on Economics and Econometrics, Strategy and Management, Management of Technology and Innovation, Information Systems and Management and Management Science and Operations Research, having authored 39 papers that have together received 485 indexed citations. Recurring topics across this work include Innovation and Knowledge Management (19 papers), Innovation Policy and R&D (16 papers), Intellectual Property and Patents (11 papers), Entrepreneurship Studies and Influences (7 papers), Firm Innovation and Growth (5 papers), Technology Adoption and User Behaviour (5 papers), Pharmaceutical Economics and Policy (4 papers) and Digital Platforms and Economics (3 papers). The work is most often cited by research in Management of Technology and Innovation (156 citations), Strategy and Management (209 citations), Business and International Management (16 citations), Economics and Econometrics (200 citations) and Medical Laboratory Technology (8 citations). Eungdo Kim has collaborated with scholars based in South Korea, United States and Ireland. Frequent co-authors include Kwangsoo Shin, Junseok Hwang, Hongbum Kim, Hana Kim, EuiSeob Jeong, Jeong Hee Lee, Seunghyun Kim, Daeho Lee, Sungjin Park and So Young Kim. Their work appears in journals such as Sustainability, Journal of Open Innovation Technology Market and Complexity, Science Technology and Society, European Journal of Innovation Management and ETRI Journal.

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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