World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
5544
World Ranking
9856
National Ranking
106

Kwangsoo Kim publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Kwangsoo Kim sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 179 publications — 38th percentile

38% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Kwangsoo Kim D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Kwangsoo Kim sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 39 D-Index — 33rd percentile

33% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Kwangsoo Kim is affiliated with the Electronics and Telecommunications Research Institute in South Korea. Their research primarily spans the field of Business, Management and Accounting with a focus on Strategy and Management, Management Science and Operations Research, Marketing, Information Systems, and Signal Processing.

The scientist's recent publications examine various dimensions of innovation, knowledge management, and environmental sustainability in business. Notable papers include:

  • A Study on the Mechanisms Linking Environmental Dynamism to Innovation Performance, 2020, published in Sustainability
  • Effects of Emerging-Economy Firms' Knowledge Acquisition from an Advanced International Joint Venture Partner on Their Financial Performance Based on the Open Innovation Perspective, 2021, Journal of Open Innovation Technology Market and Complexity
  • The Relationships among Environments, External Knowledge Acquisition, and Innovation, 2020, Sustainability
  • Data-Driven Approach to Dual Service Failure Monitoring From Negative Online Reviews: Managerial Perspective, 2021, SAGE Open
  • Predictive worker safety assessment through on-site correspondence using multi-layer fuzzy logic in outdoor construction environments, 2023, Heliyon

The main research topics Kwangsoo Kim has contributed to include:

  • Innovation Diffusion and Forecasting
  • Innovation and Knowledge Management
  • Environmental Sustainability in Business
  • Sustainable Supply Chain Management
  • Innovation and Socioeconomic Development
  • Intellectual Capital and Performance Analysis
  • Sentiment Analysis and Opinion Mining

Frequent coauthors collaborating with Kim include Eun-Hwa Seo, Choo Yeon Kim, Jae Wook Yoo, and Choo-Yeon Kim. The coauthor collaboration counts range from multiple papers with Eun-Hwa Seo and Choo Yeon Kim, indicating sustained research partnerships.

The scientist's works have been published in academic venues such as:

  • Sustainability
  • SAGE Open
  • Heliyon
  • Journal of Open Innovation Technology Market and Complexity
  • Journal of Software Assessment and Valuation

Kwangsoo Kim's research addresses complex interactions between environmental conditions, knowledge acquisition, and innovation performance in the context of emerging economies and sustainability challenges. Their studies often incorporate data-driven and analytical approaches to understand innovation mechanisms and performance outcomes within organizations, especially under dynamic and uncertain environments.

Best Publications

  • Identifying rapidly evolving technological trends for R&D planning using SAO-based semantic patent networks

    Janghyeok Yoon;Kwangsoo Kim

  • The effect of horizontal alliances on firm productivity and profitability: evidence from the global airline industry

    Tae H. Oum;Jong-Hun Park;Kwangsoo Kim;Chunyan Yu

  • Identifying technological competition trends for R&D planning using dynamic patent maps: SAO-based content analysis

    Janghyeok Yoon;Hyunseok Park;Kwangsoo Kim

  • Detecting signals of new technological opportunities using semantic patent analysis and outlier detection

    Janghyeok Yoon;Kwangsoo Kim

  • An SAO-based text mining approach to building a technology tree for technology planning

    Sungchul Choi;Hyunseok Park;Dongwoo Kang;Jae Yeol Lee

  • Identification of promising patents for technology transfers using TRIZ evolution trends

    Hyunseok Park;Jason Jihoon Ree;Kwangsoo Kim

  • Monitoring emerging technologies for technology planning using technical keyword based analysis from patent data

    Junegak Joung;Kwangsoo Kim

  • SAO network analysis of patents for technology trends identification: a case study of polymer electrolyte membrane technology in proton exchange membrane fuel cells

    Sungchul Choi;Janghyeok Yoon;Kwangsoo Kim;Jae Yeol Lee

  • Smooth surface approximation to serial cross-sections

    Hyungjun Park;Kwangsoo Kim

  • A patent intelligence system for strategic technology planning

    Hyunseok Park;Kwangsoo Kim;Sungchul Choi;Janghyeok Yoon

  • An ontology-based Enterprise Architecture

    Dongwoo Kang;Jeongsoo Lee;Sungchul Choi;Kwangsoo Kim

  • A feature-based approach to extracting machining features

    Jae Yeol Lee;Kwangsoo Kim

  • Identifying patent infringement using SAO based semantic technological similarities

    Hyunseok Park;Janghyeok Yoon;Kwangsoo Kim

  • Front and rear vehicle detection and tracking in the day and night times using vision and sonar sensor fusion

    SamYong Kim;Se-Young Oh;JeongKwan Kang;YoungWoo Ryu

  • TrendPerceptor: A property-function based technology intelligence system for identifying technology trends from patents

    Janghyeok Yoon;Kwangsoo Kim

  • An SAO‐based text‐mining approach for technology roadmapping using patent information

    Sungchul Choi;Hongbin Kim;Janghyeok Yoon;Kwangsoo Kim

  • Geometric reasoning for knowledge-based parametric design using graph representation

    Jae Yeol Lee;Kwangsoo Kim

  • Voxel-Based Virtual Multi-Axis Machining

    Donggo Jang;Kwangsoo Kim;Jungmin Jung

  • Method for grouping sensor nodes in heterogeneous wireless sensor networks

    Jung Hee Jo;Kwang Soo Kim;Yong Joon Lee;Jong-hyun Park

  • Design of product ontology architecture for collaborative enterprises

    Jeongsoo Lee;Heekwon Chae;Cheol-Han Kim;Kwangsoo Kim

Frequent Co-Authors

Janghyeok Yoon
Janghyeok Yoon Konkuk University
Won Ho Kim
Won Ho Kim Yonsei University
Eun-hye Joe
Eun-hye Joe Ajou University
Dong-il Dan Cho
Dong-il Dan Cho Seoul National University
Xu Chen
Xu Chen Tianjin University
Ikmo Park
Ikmo Park Ajou University
Nohyun Lee
Nohyun Lee Kookmin University
Kilwon Cho
Kilwon Cho Pohang University of Science and Technology
Su Jae Lee
Su Jae Lee Hanyang University
Ke An
Ke An Oak Ridge National Laboratory

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