{
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  "Package": "xxdi",
  "Type": "Package",
  "Title": "An R Package for Evaluating Expertise Indices for Research\nStrength Assessment",
  "Version": "1.26.4",
  "Authors@R": "c(\nperson(\"Nilabhra R\", \"Das\", , \"nr.das@yahoo.com\", role = c(\"cre\", \"aut\"), comment = c(ORCID = \"0000-0001-8187-0080\")),\nperson(\"Abhirup\", \"Nandy\", , \"abhirupnandy.online@gmail.com\", role = \"aut\", comment = c(ORCID = \"0000-0001-8618-0847\"))\n)",
  "Maintainer": "Nilabhra R Das <nr.das@yahoo.com>",
  "Description": "Institutional performance assessment remains a key\nchallenge to a multitude of stakeholders. Existing indicators\nsuch as h-type indicators, g-type indicators, and many others\ndo not reflect expertise of institutions that defines their\nresearch portfolio. The package offers functionality to compute\nand visualise two novel indices: the x-index and the xd-index.\nThe x-index evaluates an institution's scholarly expertise\nwithin a specific discipline or field, while the xd-index\nprovides a broader assessment of overall scholarly expertise\nconsidering an institution's publication pattern and strengths\nacross coarse thematic areas. These indices offer a nuanced\nunderstanding of institutional research capabilities, aiding\nstakeholders in research management and resource allocation\ndecisions. Lathabai, H.H., Nandy, A., and Singh, V.K. (2021)\n<doi:10.1007/s11192-021-04188-3>. Nandy, A., Lathabai, H.H.,\nand Singh, V.K. (2023) <doi:10.5281/zenodo.8305585>. This\npackage provides the h-, g-, x-, xd-indices, and their variants\nfor use with standard format of Web of Science (WoS) scrapped\ndatasets.",
  "License": "GPL-3",
  "Encoding": "UTF-8",
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  "Repository": "https://nilabhrardas.r-universe.dev",
  "Date/Publication": "2026-05-02 12:40:36 UTC",
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  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-06-01 09:28:24 UTC",
    "User": "root"
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  "Author": "Nilabhra R Das [cre, aut] (ORCID:\n<https://orcid.org/0000-0001-8187-0080>),\nAbhirup Nandy [aut] (ORCID: <https://orcid.org/0000-0001-8618-0847>)",
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  "_created": "2026-06-01T09:28:24.000Z",
  "_published": "2026-06-01T09:32:19.221Z",
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    "login": "nilabhrardas",
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    "description": "Ph.D. student in the Musculoskeletal Genomics Group at Mater Research Institute, The University of Queensland, Brisbane, Australia.",
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  "_realowner": "nilabhrardas",
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    "h_index",
    "ivw_xd_index",
    "x_index",
    "xc_index",
    "xd_index",
    "xo_index"
  ],
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      "title": "WoSdata",
      "object": "WoSdata",
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        "tbl",
        "data.frame"
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        "Keywords.Plus",
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        "Times.Cited.WoS.Core"
      ],
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    }
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      "page": "g_index",
      "title": "g_index - Egghe's g-index",
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      ]
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      "title": "h_index - Hirsch's h-index",
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        "h_index"
      ]
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      "title": "ivw_xd_index - Inverse Variance Weighted (IVW) Expertise Diversity Index",
      "topics": [
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      ]
    },
    {
      "page": "WoSdata",
      "title": "WoSdata",
      "topics": [
        "WoSdata"
      ]
    },
    {
      "page": "x_index",
      "title": "x_index - Expertise Index",
      "topics": [
        "x_index"
      ]
    },
    {
      "page": "xc_index",
      "title": "xc_index - Category-adjusted Expertise Index",
      "topics": [
        "xc_index"
      ]
    },
    {
      "page": "xd_index",
      "title": "xd_index - Expertise Diversity Index",
      "topics": [
        "xd_index"
      ]
    },
    {
      "page": "xo_index",
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      ]
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