Lauren N. Ross

797 citations
28 papers · 400 indexed · 1 hit paper · h-index 11
Topics
Philosophy and History of Science (19 papers)Biomedical Text Mining and Ontologies (4 papers)Functional Brain Connectivity Studies (4 papers)

In The Last Decade

Lauren N. Ross

25 papers receiving 377 citations

Hit Papers

Causation in neuroscience: keeping mechanism meaningful2024202620252024102030

Peers

Lauren N. Ross
Comparison fields: 5 of 98
  • History and Philosophy of Science 130
  • Cognitive Neuroscience 111
  • Molecular Biology 85
  • Surgery 42
  • Experimental and Cognitive Psychology 42
Replace Adam Toon with:
Adam Toon United Kingdom
Sara Bizarro Portugal
Michael T. Stuart Switzerland
Leonardo Bich Spain
Cristián Alejandro Spain
Daniel C. Burnston United States
Jennifer Mundale United States
Lenny Moss United Kingdom
Letitia Meynell Canada
Manolo Martínez Spain
Lauren N. Ross relative to Adam Toon United Kingdom Adam Toon's profile →
Citations per field
00.5×4.4×
Adam Toon · 1×
Citations per year

Countries citing papers authored by Lauren N. Ross

Since Specialization
Citations

This map shows the geographic impact of Lauren N. Ross'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 Lauren N. Ross with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lauren N. Ross more than expected).

Fields of papers citing papers by Lauren N. Ross

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lauren N. Ross. 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 Lauren N. Ross. The network helps show where Lauren N. Ross may publish in the future.

Co-authorship network of co-authors of Lauren N. Ross

This figure shows the co-authorship network connecting the top 25 collaborators of Lauren N. Ross. A scholar is included among the top collaborators of Lauren N. Ross 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 Lauren N. Ross. Lauren N. Ross is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 5
2 6
3 0
4
Causation in neuroscience: keeping mechanism meaningfulbreakdown →
32
5 0
6 12
7 2
8 16
9 9
10 21
11 9
12 7
13 3
14 7
15
Explanation in Contexts of Causal Complexity: Lessons from Psychiatric Genetics
4
16 16
17 7
18 50
19 31
20 1

About Lauren N. Ross

Lauren N. Ross is a scholar working on History and Philosophy of Science, Philosophy and Cognitive Neuroscience, having authored 28 papers that have together received 400 indexed citations. Recurring topics across this work include Philosophy and History of Science (19 papers), Biomedical Text Mining and Ontologies (4 papers) and Functional Brain Connectivity Studies (4 papers). The work is most often cited by research in History and Philosophy of Science (130 citations), Cognitive Neuroscience (111 citations) and Genetics (39 citations). Lauren N. Ross has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include James Woodward, Dani S. Bassett, Sierra Hewett, Ahmad Saad, Tracy L. Leong, Steven R. Cohen, Adam M. Packer, Nicole C. Rust, Christopher I. Moore and David L. Barack. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature reviews. Neuroscience and Trends in Neurosciences.

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.

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