Cite this DOI

Prasanna, Y. L., M Shailaja, & Naga Pawan, D. V. R. (2021). Analysis of Computer Science Communities Based on DBLP. *Journal of Science & Technology*, *06*(06), 160–167. https://doi.org/10.46243/jst.2021.v6.i06.pp160-167

@article{prasanna2021analysis,
  author    = {Prasanna, Y Laxmi and M Shailaja and Naga Pawan, Dr.Y V R},
  title     = {{Analysis of Computer Science Communities Based on DBLP}},
  journal   = {Journal of Science \& Technology},
  year      = {2021},
  volume    = {06},
  number    = {06},
  pages     = {160--167},
  publisher = {Longman Publishers},
  issn      = {2456-5660},
  doi       = {10.46243/jst.2021.v6.i06.pp160-167},
  url       = {https://doi.org/10.46243/jst.2021.v6.i06.pp160-167},
  language  = {en},
  abstract  = {It is popular nowadays to bring techniques from bibliomet- rics and scientometrics into the world of digital libraries to analyze the collaboration patterns and explore mechanisms which underlie community development. In this paper we use the DBLP data to investigate the author’s scientific ca- reer and provide an in-depth exploration of some of the com- puter science communities. We compare them in terms of productivity, population stability and collaboration trends. Besides we use these features to compare the sets of top- ranked conferences with their lower ranked counterparts}
}

TY  - JOUR
TI  - Analysis of Computer Science Communities Based on DBLP
AU  - Prasanna, Y Laxmi
AU  - M Shailaja
AU  - Naga Pawan, Dr.Y V R
JO  - Journal of Science & Technology
PY  - 2021
DA  - 2021///
VL  - 06
IS  - 06
SP  - 160
EP  - 167
PB  - Longman Publishers
SN  - 2456-5660
LA  - en
AB  - It is popular nowadays to bring techniques from bibliomet- rics and scientometrics into the world of digital libraries to analyze the collaboration patterns and explore mechanisms which underlie community development. In this paper we use the DBLP data to investigate the author’s scientific ca- reer and provide an in-depth exploration of some of the com- puter science communities. We compare them in terms of productivity, population stability and collaboration trends. Besides we use these features to compare the sets of top- ranked conferences with their lower ranked counterparts
DO  - 10.46243/jst.2021.v6.i06.pp160-167
UR  - https://doi.org/10.46243/jst.2021.v6.i06.pp160-167
ER  -

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    "URL": "https://doi.org/10.46243/jst.2021.v6.i06.pp160-167",
    "title": "Analysis of Computer Science Communities Based on DBLP",
    "source": "Smart Scholars DOI Registry",
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    "author": [
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            "family": "Prasanna",
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    "language": "en",
    "abstract": "It is popular nowadays to bring techniques from bibliomet- rics and scientometrics into the world of digital libraries to analyze the collaboration patterns and explore mechanisms which underlie community development. In this paper we use the DBLP data to investigate the author’s scientific ca- reer and provide an in-depth exploration of some of the com- puter science communities. We compare them in terms of productivity, population stability and collaboration trends. Besides we use these features to compare the sets of top- ranked conferences with their lower ranked counterparts",
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From the record as registered (version 2) — the record and its history. Programs: https://registry.smartscholars.in/api.php?action=cite&doi=10.46243%2Fjst.2021.v6.i06.pp160-167 gives all four in one JSON answer.