Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Maturation trends indicative of rapid evolution preceded the collapse of northern cod
2004655 citationsMikko Heino, Ulf Dieckmann et al.profile →
Ecology: Managing Evolving Fish Stocks
2007521 citationsErin S. Dunlop, Ulf Dieckmann et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Mikko Heino's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mikko Heino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mikko Heino more than expected).
This network shows the impact of papers produced by Mikko Heino. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mikko Heino. The network helps show where Mikko Heino may publish in the future.
Co-authorship network of co-authors of Mikko Heino
This figure shows the co-authorship network connecting the top 25 collaborators of Mikko Heino.
A scholar is included among the top collaborators of Mikko Heino based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Mikko Heino. Mikko Heino is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Dieckmann, Ulf, Erin S. Dunlop, & Mikko Heino. (2006). Eco-genetic models: a new framework for understanding fisheries-induced evolution. Duo Research Archive (University of Oslo).1 indexed citations
11.
Heino, Mikko, et al.. (2006). Report on the diet of the blue whiting in the Barents Sea in the summer 2005 and in the winters of 2002 and 2006. IIASA PURE (International Institute of Applied Systems Analysis).2 indexed citations
12.
Heino, Mikko, et al.. (2005). International blue whiting spawning stock survey spring 2006. IIASA PURE (International Institute of Applied Systems Analysis).
13.
Barot, Sébastien, Mikko Heino, Loretta O’Brien, & Ulf Dieckmann. (2004). Estimating reaction norms for age and size at maturation when age at first. Evolutionary ecology research. 6(5). 659–678.64 indexed citations
14.
Dieckmann, Ulf & Mikko Heino. (2004). Fishing drives rapid evolution. IIASA PURE (International Institute of Applied Systems Analysis).5 indexed citations
15.
Heino, Mikko, Georg H. Engelhard, & Olav Rune Godø. (2003). Variations in the distribution of blue whiting in the Barents Sea: Climatic influences or year class effects?. Duo Research Archive (University of Oslo).2 indexed citations
16.
Heino, Mikko, et al.. (2003). BLUE WHITING SURVEY DURING SPRING 2006. IIASA PURE (International Institute of Applied Systems Analysis).
17.
Ylikarjula, Janica, Mikko Heino, Ulf Dieckmann, & Veijo Kaitala. (2002). Does Density-Dependent Individual Growth Simplify Dynamics in Age-Structured Populations? A General Model Applied to Perch, "Perca fluviatilis". Annales Zoologici Fennici. 39(2). 99–107.4 indexed citations
18.
Godø, Olav Rune, et al.. (2002). Blue whiting survey during spring 2002. Duo Research Archive (University of Oslo).3 indexed citations
19.
Heino, Mikko, et al.. (2002). Fisheries-Induced Selection Pressures in the Context of Sustainable Fisheries. Bulletin of Marine Science. 70(2). 639–656.237 indexed citations
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
bibliographic database. While OpenAlex provides broad and valuable coverage of the global
research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
delays in data updates. As a result, some metrics and network relationships displayed in
Rankless may not fully capture the entirety of a scholar's output or impact.