OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Applying the core-satellite species concept: Characteristics of rare and common riverine dissolved organic matter
Masumi Stadler, Malcolm A. Barnard, Kadir Biçe, et al.
Frontiers in Water (2023) Vol. 5
Open Access | Times Cited: 8

Showing 8 citing articles:

Universal microbial reworking of dissolved organic matter along environmental gradients
Erika C. Freeman, Erik J. S. Emilson, Thorsten Dittmar, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 17

Riverine dissolved organic matter transformations increase with watershed area, water residence time, and Damköhler numbers in nested watersheds
Kevin A. Ryan, Vanessa Garayburu‐Caruso, Byron C. Crump, et al.
Biogeochemistry (2024) Vol. 167, Iss. 10, pp. 1203-1224
Open Access | Times Cited: 1

Spatially Intensive Patterns of Water Clarity in Reservoirs Determined Rapidly With Sensor‐Equipped Boats and Satellites
Stephen M. Powers, Malcolm A. Barnard, Malcolm S. Macleod, et al.
Journal of Geophysical Research Biogeosciences (2023) Vol. 128, Iss. 10
Open Access | Times Cited: 2

Opening Doors to Physical Sample Data Discovery, Integration, and Credit
Joan Damerow, Natalie H. Raia, V. L. Stanley, et al.
EarthArXiv (California Digital Library) (2024)
Open Access

Prediction of Distributed River Sediment Respiration Rates Using Community‐Generated Data and Machine Learning
Stefan F. Gary, Tim Scheibe, Em Rexer, et al.
Journal of Geophysical Research Machine Learning and Computation (2024) Vol. 1, Iss. 3
Open Access

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