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.
Determination of Menstrual Blood Loss
1964338 citationsL. Hallberg, Lars‐Erik NilssonScandinavian Journal of Clinical and Laboratory Investigationprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Lars‐Erik Nilsson
Since
Specialization
Citations
This map shows the geographic impact of Lars‐Erik Nilsson'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 Lars‐Erik Nilsson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lars‐Erik Nilsson more than expected).
Fields of papers citing papers by Lars‐Erik Nilsson
This network shows the impact of papers produced by Lars‐Erik Nilsson. 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 Lars‐Erik Nilsson. The network helps show where Lars‐Erik Nilsson may publish in the future.
Co-authorship network of co-authors of Lars‐Erik Nilsson
This figure shows the co-authorship network connecting the top 25 collaborators of Lars‐Erik Nilsson.
A scholar is included among the top collaborators of Lars‐Erik Nilsson 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 Lars‐Erik Nilsson. Lars‐Erik Nilsson is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Nilsson, Lars‐Erik, et al.. (2011). Implementing supervised placement : refelections on the unity of a concept. Paper presented at the 14th biennial EARLI Conference for Research on Learning and Instruction, Exeter, UK, 29th of August to 3rd of September. KTH Publication Database DiVA (KTH Royal Institute of Technology).2 indexed citations
Nilsson, Lars‐Erik, et al.. (2005). "I was just helping her understand" : malignant positioning as cheaters and the conflict between student culture and academic tradition in disciplinary hearings. Borås Academic Digital Archive (University of Borås).4 indexed citations
9.
Nilsson, Lars‐Erik, et al.. (2005). Copy-and-paste-plagiarism: technology as a blind alley or a road to better learning. Borås Academic Digital Archive (University of Borås). 6(2). 147–57.4 indexed citations
10.
Nilsson, Lars‐Erik, et al.. (2005). "What's in a software" : making use of project support in writing at senior high school.. Borås Academic Digital Archive (University of Borås).1 indexed citations
11.
Nilsson, Lars‐Erik, et al.. (2004). Validity through closeness. Paper presented at the 5th Anniversary Advances in Qualitative Methods Conference, 29-31 January, in Edmonton, Canada.1 indexed citations
Gustafson, Lars, Jarl Risberg, Bo Hagberg, et al.. (1972). Cerebral blood flow, EEG and psychometric variables related to clinical findings in presenile dementia.. PubMed. 51. 439–40.1 indexed citations
20.
Hallberg, L. & Lars‐Erik Nilsson. (1964). Determination of Menstrual Blood Loss. Scandinavian Journal of Clinical and Laboratory Investigation. 16(2). 244–248.338 indexed citations breakdown →
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.