Skip to main content
SpringerLink
Log in

SciTo Trends: Visualising Scientific Topic Trends

  • Conference paper
  • First Online:
Digital Libraries for Open Knowledge (TPDL 2019)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11799))

Included in the following conference series:

Abstract

Monitoring trends in scientific disciplines is a common task for researchers and other professionals in the broad research and academic community, like research and innovation policy makers and research fund managers. We demonstrate SciTo, a powerful tool that assists in the monitoring of trends in scientific disciplines. SciTo supports keyword-based search for the identification of scientific topics of interest and comparison of interesting topics to each other in terms of their popularity inside the academic community.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 64.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 84.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    https://scholar.google.com/.

  2. 2.

    https://aminer.org/.

  3. 3.

    https://www.semanticscholar.org.

  4. 4.

    https://citeseerx.ist.psu.edu.

  5. 5.

    https://trend.aminer.org/.

  6. 6.

    https://www.csullender.com/scholar/.

  7. 7.

    https://app.dimensions.ai.

  8. 8.

    http://scito.imsi.athenarc.gr.

  9. 9.

    http://opencitations.net/download.

  10. 10.

    https://www.crossref.org/services/metadata-delivery/rest-api/.

  11. 11.

    https://www.openacademic.ai/oag/.

  12. 12.

    https://radimrehurek.com/gensim/.

  13. 13.

    http://lucene.apache.org/solr/.

References

  1. Blei, D.M., Ng, A.Y., Jordan, M.I.: Latent Dirichlet allocation. JMLR 3, 993–1022 (2003)

    MATH  Google Scholar 

  2. Ghosh, R., Kuo, T.T., Hsu, C.N., Lin, S.D., Lerman, K.: Time-aware ranking in dynamic citation networks. In: IEEE ICDMW, pp. 373–380. IEEE (2011)

    Google Scholar 

  3. Sinha, A., et al.: An overview of Microsoft Academic Service (MAS) and applications. In: WWW, pp. 243–246 (2015)

    Google Scholar 

  4. Tang, J., Zhang, J., Yao, L., Li, J., Zhang, L., Su, Z.: ArnetMiner: extraction and mining of academic social networks. In: ACM SIGKDD, pp. 990–998 (2008)

    Google Scholar 

  5. Wu, J., et al.: CiteSeerX: AI in a digital library search engine. AI Mag. 36(3), 35–48 (2015)

    Article  Google Scholar 

Download references

Acknowledgments

We acknowledge support of this work by the project “Moving from Big Data Management to Data Science” (MIS 5002437/3) which is implemented under the Action “Re-inforcement of the Research and Innovation Infrastructure”, funded by the Operational Programme “Competitiveness, Entrepreneurship and Innovation” (NSRF 2014–2020) and co-financed by Greece and the European Union (European Regional Development Fund).

Author information

Authors and Affiliations

  1. Department of Informatics and Tel/tions, University of the Peloponnese, 22100, Tripoli, Greece

    Serafeim Chatzopoulos, Panagiotis Deligiannis & Christos Tryfonopoulos

  2. IMSI - “Athena” Research & Innovation Center, 15125, Athens, Greece

    Serafeim Chatzopoulos, Thanasis Vergoulis, Ilias Kanellos & Theodore Dalamagas

  3. School of Electrical and Computer Engineering, NTUA, 15780, Athens, Greece

    Ilias Kanellos

Authors
  1. Serafeim Chatzopoulos
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Panagiotis Deligiannis
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Thanasis Vergoulis
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Ilias Kanellos
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Christos Tryfonopoulos
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Theodore Dalamagas
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Thanasis Vergoulis .

Editor information

Editors and Affiliations

  1. University of La Rochelle, La Rochelle, France

    Antoine Doucet

  2. VU University Amsterdam, Amsterdam, The Netherlands

    Antoine Isaac

  3. Linnaeus University, Växjö, Sweden

    Koraljka Golub

  4. OsloMet – Oslo Metropolitan University, Oslo, Norway

    Trond Aalberg

  5. Kyoto University, Kyoto, Japan

    Adam Jatowt

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Chatzopoulos, S., Deligiannis, P., Vergoulis, T., Kanellos, I., Tryfonopoulos, C., Dalamagas, T. (2019). SciTo Trends: Visualising Scientific Topic Trends. In: Doucet, A., Isaac, A., Golub, K., Aalberg, T., Jatowt, A. (eds) Digital Libraries for Open Knowledge. TPDL 2019. Lecture Notes in Computer Science(), vol 11799. Springer, Cham. https://doi.org/10.1007/978-3-030-30760-8_41

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-30760-8_41

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-30759-2

  • Online ISBN: 978-3-030-30760-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation