Lauren N. Ross

797 total citations · 1 hit paper
28 papers, 400 citations indexed

About

Lauren N. Ross is a scholar working on History and Philosophy of Science, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Lauren N. Ross has authored 28 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in History and Philosophy of Science, 8 papers in Molecular Biology and 6 papers in Cognitive Neuroscience. Recurrent topics in Lauren N. Ross's work include Philosophy and History of Science (19 papers), Biomedical Text Mining and Ontologies (4 papers) and Functional Brain Connectivity Studies (4 papers). Lauren N. Ross is often cited by papers focused on Philosophy and History of Science (19 papers), Biomedical Text Mining and Ontologies (4 papers) and Functional Brain Connectivity Studies (4 papers). Lauren N. Ross collaborates with scholars based in United States, Canada and United Kingdom. Lauren N. Ross's co-authors include James Woodward, Dani S. Bassett, Ahmad Saad, Sierra Hewett, Steven R. Cohen, Tracy L. Leong, Christopher I. Moore, Luiz Pessoa, David L. Barack and Adam M. Packer and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature reviews. Neuroscience and Trends in Neurosciences.

In The Last Decade

Lauren N. Ross

25 papers receiving 377 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

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.

Causation in neuroscience: keeping mechanism meaningful

2024 32 citations Lauren N. Ross, Dani S. Bassett Nature reviews. Neuroscience profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Lauren N. Ross United States	11	130	111	85	42	42	28	400
Leonardo Bich Spain	14	135 1.0×	156 1.4×	178 2.1×	5 0.1×	29 0.7×	34	592
Linda Van Speybroeck Belgium	11	66 0.5×	35 0.3×	300 3.5×	10 0.2×	23 0.5×	22	573
Raquel del Moral Spain	13	7 0.1×	49 0.4×	116 1.4×	29 0.7×	18 0.4×	32	440
John Horgan United States	8	20 0.2×	70 0.6×	11 0.1×	10 0.2×	22 0.5×	22	257
Sara Bizarro Portugal	1	125 1.0×	141 1.3×	48 0.6×		45 1.1×	3	281
Adam Toon United Kingdom	9	146 1.1×	73 0.7×	48 0.6×		39 0.9×	16	242
Gerhard D. Wassermann United Kingdom	11	74 0.6×	56 0.5×	107 1.3×	4 0.1×	32 0.8×	24	463
David Cockburn Australia	10	9 0.1×	75 0.7×	25 0.3×	5 0.1×	52 1.2×	67	440
Cory Wright United States	10	137 1.1×	143 1.3×	45 0.5×		101 2.4×	30	388
Gregory Stock United States	11	9 0.1×	107 1.0×	81 1.0×	11 0.3×	12 0.3×	25	472

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

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20 of 20 papers shown

Gigerenzer, Gerd, Peter Grünwald, William R. Holmes, et al.. (2025). Is Ockham’s razor losing its edge? New perspectives on the principle of model parsimony. Proceedings of the National Academy of Sciences. 122(5). e2401230121–e2401230121. 5 indexed citations

Ross, Lauren N., Viktor Jirsa, & Anthony R. McIntosh. (2025). The Possibility Space Concept in Neuroscience: Possibilities, Constraints, and Explanations. European Journal of Neuroscience. 61(5). e70038–e70038.

Ross, Lauren N.. (2025). Explanation in Biology. Cambridge University Press eBooks. 6 indexed citations

Ross, Lauren N. & Dani S. Bassett. (2024). Causation in neuroscience: keeping mechanism meaningful. Nature reviews. Neuroscience. 25(2). 81–90. 32 indexed citations breakdown →

Ross, Lauren N. & Dani S. Bassett. (2024). Reply to ‘Causal prominence for neuroscience’. Nature reviews. Neuroscience. 25(8). 592–592.

Ross, Lauren N.. (2023). The explanatory nature of constraints: Law-based, mathematical, and causal. Synthese. 202(2). 12 indexed citations

Ross, Lauren N.. (2023). Causal Constraints in the Life and Social Sciences. Philosophy of Science. 91(5). 1068–1077. 2 indexed citations

Ross, Lauren N.. (2023). What is social structural explanation? A causal account. Noûs. 58(1). 163–179. 16 indexed citations

Creath, Richard, Marc Ereshefsky, Marie I. Kaiser, et al.. (2023). From Biological Practice to Scientific Metaphysics. 9 indexed citations

10.

Barack, David L., Earl K. Miller, Christopher I. Moore, et al.. (2022). A call for more clarity around causality in neuroscience. Trends in Neurosciences. 45(9). 654–655. 21 indexed citations

11.

Ross, Lauren N.. (2022). Cascade Versus Mechanism: The Diversity of Causal Structure in Science. The British Journal for the Philosophy of Science. 0–0. 9 indexed citations

12.

Ross, Lauren N. & James Woodward. (2022). Irreversible (One-hit) and Reversible (Sustaining) Causation. Philosophy of Science. 89(5). 889–898. 7 indexed citations

13.

Ross, Lauren N.. (2021). Tracers in neuroscience: Causation, constraints, and connectivity. Synthese. 199(1-2). 4077–4095. 3 indexed citations

14.

Cohen, S, et al.. (2018). Progressive Improvement in Midfacial Volume 18 to 24 Months After Simultaneous Fat Grafting and Facelift: An Insight to Fat Graft Remodeling. Aesthetic Surgery Journal. 40(3). 235–242. 16 indexed citations

15.

Ross, Lauren N.. (2018). Causal explanation and the periodic table. Synthese. 198(1). 79–103. 7 indexed citations

16.

Ross, Lauren N.. (2018). Causal Selection and the Pathway Concept. Philosophy of Science. 85(4). 551–572. 27 indexed citations

17.

Cohen, Steven R., et al.. (2017). Regenerative Cells For Facial Surgery: Biofilling and Biocontouring. Aesthetic Surgery Journal. 37(suppl_3). S16–S32. 50 indexed citations

18.

Ross, Lauren N. & James Woodward. (2016). Koch’s postulates: An interventionist perspective. Studies in History and Philosophy of Science Part C Studies in History and Philosophy of Biological and Biomedical Sciences. 59. 35–46. 31 indexed citations

19.

Ross, Lauren N.. (2015). Causal Control: A Rationale for Causal Selection. PhilSci-Archive (University of Pittsburgh). 3 indexed citations

20.

Le, Daniel D., et al.. (2008). Kinetics and Regioselectivity of Ring Opening of 1-Bicyclo[3.1.0]hexanylmethyl Radical. The Journal of Organic Chemistry. 73(4). 1593–1596. 1 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.

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