World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
33
Citations
5223
World Ranking
12594
National Ranking
5103

Erjia Yan 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 Erjia Yan 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: 105 publications — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Erjia Yan 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 Erjia Yan 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: 33 D-Index — 13th percentile

13% of scientists in this discipline score the same or lower.

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

Overview

Erjia Yan is affiliated with Drexel University in the United States and works primarily in the field of Social Sciences. Their research encompasses a range of subfields including Statistics, Probability and Uncertainty, Education, Library and Information Sciences, Economics and Econometrics, and Computer Science Applications.

Their scientific output covers topics related to scientometrics and bibliometrics research, higher education research studies, library science and administration, web and library services, complex network analysis techniques, advanced text analysis techniques, and diversity and career in medicine.

Erjia Yan's recent scholarly publications include:

  • "Where Do We Stand? Diversity, Equity, Inclusion, and Social Justice in North American Library and Information Science Education," 2021, Journal of Education for Library and Information Science
  • "Citation cascade and the evolution of topic relevance," 2020, Journal of the Association for Information Science and Technology
  • "Analyzing academic mobility of U.S. professors based on ORCID data and the Carnegie Classification," 2020, Quantitative Science Studies
  • "Gender and country biases in Wikipedia citations to scholarly publications," 2022, Journal of the Association for Information Science and Technology
  • "Analyzing China's research collaboration with the United States in high-impact and high-technology research," 2021, Quantitative Science Studies

Several frequent coauthors have collaborated with Yan, including:

  • Chaoqun Ni
  • Mat Kelly
  • Yongjun Zhu
  • Jiangen He
  • Alex H. Poole

Yan's work has been published mainly in the following venues:

  • Quantitative Science Studies
  • Journal of the Association for Information Science and Technology
  • Journal of Education for Library and Information Science
  • Innovation in Aging
  • Neural Regeneration Research

The frequent publication in these journals reflects a focus on areas related to information science, quantitative analysis of science studies, and education.

Best Publications

  • Web of Science use in published research and review papers 1997–2017: a selective, dynamic, cross-domain, content-based analysis

    Kai Li;Jason Rollins;Erjia Yan

  • PageRank for ranking authors in co-citation networks

    Ying Ding;Erjia Yan;Arthur Frazho;James Caverlee

  • Applying centrality measures to impact analysis: A coauthorship network analysis

    Erjia Yan;Ying Ding

  • Examining the usage, citation, and diffusion patterns of bibliometric mapping software: A comparative study of three tools

    Xuelian Pan;Erjia Yan;Ming Cui;Weina Hua

  • The cognitive structure of Library and Information Science: Analysis of article title words

    Staša Milojević;Cassidy R. Sugimoto;Erjia Yan;Ying Ding

  • Scholarly network similarities: How bibliographic coupling networks, citation networks, cocitation networks, topical networks, coauthorship networks, and coword networks relate to each other

    Erjia Yan;Ying Ding

  • Discovering author impact: A PageRank perspective

    Erjia Yan;Ying Ding

  • Mapping library and information science in China: a coauthorship network analysis

    Erjia Yan;Ying Ding;Qinghua Zhu

  • P-Rank: An indicator measuring prestige in heterogeneous scholarly networks

    Erjia Yan;Ying Ding;Cassidy R. Sugimoto

  • PageRank for ranking authors in co-citation networks

    Ying Ding;Erjia Yan;Arthur Frazho;James Caverlee

  • Entitymetrics: Measuring the Impact of Entities

    Ying Ding;Min Song;Jia Han;Qi Yu

  • Weighted citation: An indicator of an article's prestige

    Erjia Yan;Ying Ding

  • Applying centrality measures to impact analysis: A coauthorship network analysis

    Erjia Yan;Ying Ding

  • Predicting and recommending collaborations: An author-, institution-, and country-level analysis

    Erjia Yan;Raf Guns

  • Topics in dynamic research communities: An exploratory study for the field of information retrieval

    Erjia Yan;Ying Ding;Sta Ša Milojević;Cassidy R. Sugimoto

  • Community-based topic modeling for social tagging

    Daifeng Li;Bing He;Ying Ding;Jie Tang

  • Semantic relatedness and similarity of biomedical terms: examining the effects of recency, size, and section of biomedical publications on the performance of word2vec

    Yongjun Zhu;Erjia Yan;Fei Wang

  • Assessing the impact of software on science: A bootstrapped learning of software entities in full-text papers

    Xuelian Pan;Erjia Yan;Qianqian Wang;Weina Hua

  • A recursive field-normalized bibliometric performance indicator: an application to the field of library and information science

    Ludo Waltman;Erjia Yan;Nees Jan Eck

  • Finding knowledge paths among scientific disciplines

    Erjia Yan

  • Perspectives on social tagging

    Unknown

  • Perspectives on social tagging

    Ying Ding;Elin K. Jacob;Zhixiong Zhang;Schubert Foo

  • Will open access increase journal CiteScores? An empirical investigation over multiple disciplines.

    Yang Li;Chaojiang Wu;Erjia Yan;Kai Li

Frequent Co-Authors

Ying Ding
Ying Ding The University of Texas at Austin
Cassidy R. Sugimoto
Cassidy R. Sugimoto Indiana University
Xiaohua Hu
Xiaohua Hu Drexel University
Min Song
Min Song Yonsei University
Ludo Waltman
Ludo Waltman Leiden University
Il-Yeol Song
Il-Yeol Song Drexel University
Nees Jan van Eck
Nees Jan van Eck Leiden University
James Caverlee
James Caverlee Texas A&M University
Schubert Foo
Schubert Foo Nanyang Technological University
Blaise Cronin
Blaise Cronin Indiana University

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