Domestic researchers with longer careers generate higher average citation impact but it does not increase over time is a research paper published in Quantitative Science Studies (2021). On theSindex it has a DataRank of 0.574. It has been cited 9 times, with 7 citing works in its 1-hop citation network.
Abstract Information about the relative strengths of scholars is needed for the efficient running of knowledge systems. Because academic research requires many skills, more experienced researchers might produce better research and attract more citations. This article assesses career citation impact changes 2001–2016 for domestic researchers (definition: first and last Scopus journal article in the same country) from the 12 nations with most Scopus documents. Careers are analyzed longitudinally, so that changes are not due to personnel evolution, such as researchers leaving or entering a country. The results show that long-term domestic researchers do not tend to improve their citation impact over time but tend to achieve their average citation impact by their first or second Scopus journal article. In some countries, this citation impact subsequently declines. These longer-term domestic researchers have higher citation impact than the national average in all countries, however, whereas scholars publishing only one journal article have substantially lower citation impact in all countries. The results are consistent with an efficiently functioning researcher selection system but cast slight doubt on the long-term citation impact potential of long-term domestic researchers. Research and funding policies may need to accommodate these patterns when citation impact is a relevant indicator.
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
Base Score Contribution
0.345
From this paper's citation signal
Citation Network Contribution
0.228
From 6 citing papers with measurable signal
Ranked by citation count — the same ordering the engine uses when summing log1p(Cq) over citers.
DataRank blends this paper's own citation count with the influence of the papers that cite it. Here, roughly 60% comes from its base citations and 40% from the citation network (6 citing papers contributed measurable signal).
Citers are pulled from OpenAlex sorted by cited_by_count:descand capped per paper, so when the cap binds we keep the highest-signal references and the score is reproducible across reruns.
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