Conservation and ecology journal ranks 2023

6 12 2024

Quite a bit late this year, but I’ve finally put together the 2023 conservation / ecology / sustainability journal ranks based on my (published) journal-ranking method (as I’ve done every year since 2008).

After 16 years of doing this exercise, I can’t help but notice that most journals don’t do much differently from year to year. They mostly tend to publish the same number of papers, get the same number of total publications, and therefore, remain approximately in the same rank relative to others.

Some things to note: Clarivate continues to modify its algorithm, meaning that most journal Impact Factors have gone down yet again. This is somewhat irrelevant from the perspective of relative ranking, but it might piss off a few journals.

I therefore present the new 2023 ranks for: (i) 111 ecology, conservation and multidisciplinary journals, (ii) 29 open-access (i.e., you have to pay) journals from the previous category, (iii) 68 ‘ecology’ journals, (iv) 33 ‘conservation’ journals, (v) 44 ‘sustainability’ journals (with general and energy-focussed journals included), and (vi) 21 ‘marine & freshwater’ journals.

Here are the results:

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Journal ranks 2022

21 07 2023

As I’ve done every year for the last 15 years, I can now present the 2022 conservation / ecology / sustainability journal ranks based on my (published) journal-ranking method.

Although both the Clarivate (Impact Factor, Journal Citation Indicator, Immediacy Index) and Scopus (CiteScore, Source-Normalised Impact Per Paper, SCImago Journal Rank) values have been out for about a month or so, the Google (h5-index, h5-median) scores only came out yesterday.

This year’s also a bit weird from the perspective of the Clarivate ranks. First, Impact Factors will no longer be provided to three significant digits, but only to one (e.g., 7.2 versus 7.162). That’s not such a big deal, but it does correct for relative ranks based on false precision. However, the biggest changes are more methdological — Impact Factors now take online articles into account (in the denominator), so most journals will have a lower Impact Factor this year compared to last. In fact, of the 105 journals in the ecology/conservation/multidisciplinary category that have data for both 2021 and 2022, the 2022 Impact Factors are a median 15% lower than the 2021 values.

Another effect in play appears to have been the pandemic. The worst of the pandemic happened right during the assessment period, and I’m pretty sure this is reflected both in terms of the number of articles published (down a median of 10%) and total number of citations in the assessment period (down 7%) per journal.

But using my method, these changes a somewhat irrelevant because I calculate relative ranks, not an absolute score.

I therefore present the new 2022 ranks for: (i) 108 ecology, conservation and multidisciplinary journals, (ii) 28 open-access (i.e., you have to pay) journals from the previous category, (iii) 66 ‘ecology’ journals, (iv) 31 ‘conservation’ journals, (v) 43 ‘sustainability’ journals (with general and energy-focussed journals included), and (vi) 21 ‘marine & freshwater’ journals.

Here are the results:

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Rank your own sample of journals

29 12 2020

If you follow my blog regularly, you’ll know that around the middle of each year I publish a list of journals in conservation and ecology ranked according to a multi-index algorithm we developed back in 2016. The rank I release coincides with the release of the Web of Knowledge Impact Factors, various Scopus indices, and the Google Scholar journal ranks.

The reasons we developed a multi-index rank are many (summarised here), but they essentially boil down to the following rationale:

(i) No single existing index is without its own faults; (ii) ranks are only really meaningful when expressed on a relative scale; and (iii) different disciplines have wildly different index values, so generally disciplines aren’t easily compared.

That’s why I made the R code available to anyone wishing to reproduce their own ranked sample of journals. However, given that implementing the R code takes a bit of know-how, I decided to apply my new-found addiction to R Shiny to create (yet another) app.

Welcome to the JournalRankShiny app.

This new app takes a pre-defined list of journals and the required indices, and does the resampled ranking for you based on a few input parameters that you can set. It also provides a few nice graphs for the ranks (and their uncertainties), as well as a plot showing the relationship between the resulting ranks and the journal’s Impact Factor (for comparison).

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