Journal Statistics

It is well known that nanotechnology is an extremely multidisciplinary field, attracting researchers from physics to chemistry, from computer science to biology, and many disciplines in between [1,2]. Given the diversity of topics covered in the Beilstein Journal of Nanotechnology, one set of statistics or bibliometrics will not suffice for the evaluation of such a journal, as it is well known that specific disciplines have vastly different citation patterns [3-5].

We are signatories to the San Francisco Declaration on Research Assessment (DORA) [6] and support its aims to improve how the quality of research is evaluated. Bibliometrics can be used as indicators of general interest and trends, but of course do not replace your own critical evaluation of an article.

Alternative Journal Metrics

Various bibliometrics for the Beilstein Journal of Nanotechnology are presented below without emphasis for any particular metric. Definitions of some of the most widely used journal bibliometrics can be found here [7]. Please use the combination of these statistics together with your evaluation of our most recent articles to decide if the Beilstein Journal of Nanotechnology is an appropriate journal to publish your research. Thank you for considering our non-profit platinum open-access journal for your nanotechnology publication.

Frequency Distribution of Citations

The following analysis is based on the method for calculating the frequency distribution of citations for a given journal, as described in detail in [8]. The following statistics were collected using the version of Web of Science available with our license and the analysis was followed exactly as described in the referenced article.


Frequency Distribution of Citations BJNANO

Frequency distribution of citations in 2016 for articles published in 2014–2015.


h5-index from Google Scholar Metrics

The h-index of a journal is the number of articles, h, in that journal that were cited at least h times each. The h5-index of a publication is the h-index of the articles for those that were published in the last five complete calendar years.

2015 h5-index as calculated by Google Scholar Metrics: 29 [9]

2016 h5-index as calculated by Google Scholar Metrics: 33 [10]

Journal Impact Factor and Quartile Ranking (Clarivate Analytics)

Although it is the most commonly referred to measure of a journal’s impact on a discipline, and therefore, of importance for authors, the Journal Impact Factor (JIF) alone is not sufficient to judge the quality of a journal. Moreover, it provides some information about a journal’s citation rate and distribution, but has no direct significance for an individual article in the given journal. Please note that this bibliometric information from Clarivate Analytics (formerly Thomson Reuters) is from a commercial entity and the use of the JIF has been highly debated in the publishing industry and research community [11-13].

In its simplest form, the JIF for a given year is the ratio of the number of citations in that year to articles published in the past two calendar years, divided by the total number of publications published in the past two calendar years. For example, JIF 2016 = No. citations in 2016 to 2014–2015 published articles / No. published articles in 2014–2015.

The bar graph below shows the progression of the Journal Impact Factor for the Beilstein Journal of Nanotechnology since its inception in 2010. According to the 2016 edition of Journal Citation Reports® by Clarivate Analytics, the Beilstein Journal of Nanotechnology remained a Q1 journal in the categories applied physics and materials science and the 2016 JIF increased to 3.2 [14].

Journal Impact Factor, BJNANO

2011–2016 Journal Impact Factor, according to Clarivate Analytics.      


Additional information obtained from the Web of Science database:

5-year Journal Impact Factor (2016): 2.6

Total citations (as of 13.02.2018): 10,013

Additional information from the 2016 InCites(TM) Journal Citation Reports [14]:

Total citations 2016: 2,588

Eigenfactor score: 0.009


SCImago Journal & Country Rank (Scopus® Metrics)

Without a subscription, the data contained in the proprietary Elsevier B.V. database Scopus® cannot be accessed. Alternatively, the SCImago Journal & Country Rank is a publicly available portal that includes information on the journals that are included in the Scopus® database (Elsevier B.V.) [15]. This information for the Beilstein Journal of Nanotechnology is freely available on their website [16].

2016 h5-index as calculated by Scopus®: 34

Category Q1 in Physics and Astronomy, Electrical and Electronic Engineering, Materials Science

Current Source Normalized Impact per Paper (SNIP): 0.986

The SNIP is a weighted citation metric based on the total number of citations in a subject field, using Scopus® data.

The SCImago Journal Rank (SJR) indicator, like the SNIP, also normalizes the citations based on the subject field and additionally attempts to normalize for “journal prestige” and is also based on Scopus® data. The SJR data presented below is the weighted average number of citations in the given year for articles published over the past three calendar years (in contrast to the past two years as for the JIF).

2011–2016 SCImago Journal Rank (SJR), according to Scopus® metrics.

Year SJR
2001 0.399


2013 1.270
2014 1.162
2015 0.958
2106 1.065

Other Statistics

The following graph gives the total number of submissions to (blue) and publications in (red) the Beilstein Journal of Nanotechnology, with the percent of acceptances provided for the given year.

Number of submissions/publications, BJNANO

Total number of submissions to and publication in the Beilstein Journal of Nanotechnology 2010–2017.


Please contact the Managing Editor, Dr. Wendy Patterson (wpatterson -at-, with any questions about this information.



  1. Porter, A. L.; Youtie, J. J. Nanopart. Res. 2009, 11, 1023–1041. doi:10.1007/s11051-009-9607-0
  2. Milojević, S. J. Nanopart. Res. 2012, 14, 685. doi:10.1007/s11051-011-0685-4
  3. Finardi, U. J. Informetr. 2014, 8, 13–24. doi:10.1016/j.joi.2013.10.003
  4. Sangwal, K. J. Informetr. 2014, 8, 972–984. doi:10.1016/j.joi.2014.09.009
  5. Lachance, C.; Larivière, V. J. Informetr. 2014, 8, 863–872. doi:10.1016/j.joi.2014.08.002
  6. DORA - ASCB. (accessed Feb 1, 2018).
  7. Journal ranking - Wikipedia. (accessed Feb 1, 2018).
  8. Lariviere, V.; Kiermer, V.; MacCallum, C.J.; McNutt, M.; Patterson, M.; Pulverer, B.; Swaminathan, S.; Taylor, S.; Curry, S. bioRxiv 062109. doi:10.1101/062109
  9. Beilstein Journal of Nanotechnology - Google Scholar Metrics 2015 h5-index. (accessed Feb 1, 2018).
  10. Beilstein Journal of Nanotechnology - Google Scholar Metrics 2016 h5-index. (accessed Feb 1, 2018).
  11. Brembs, B.; Button, K.; Munafò, M. Front. Hum. Neurosci. 2013, 7, 291. doi:10.3389/fnhum.2013.00291
  12. Zhang, L.; Rousseau, R.; Sivertsen, G. PLoS One 2017, 12, e0174205. doi:10.1371/journal.pone.0174205
  13. Bornmann, L; Marx, W.; Gasparyan, A.Y.; Kitas, G.D. Rheumatol. Int. 2012, 32, 1861–1867. doi:10.1007/s00296-011-2276-1
  14. Journal Citation Reports® Science Edition. Clarivate Analytics: 2016.
  15. SCImago Journal & Country Rank. (accessed Feb 1, 2018).
  16. Beilstein Journal of Nanotechnology SJR. (accessed Feb 1, 2018).

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