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.
Antibody-Based Bio-Nanotube Membranes for Enantiomeric Drug Separations
Countries citing papers authored by David Mitchell
Since
Specialization
Citations
This map shows the geographic impact of David Mitchell'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 David Mitchell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Mitchell more than expected).
This network shows the impact of papers produced by David Mitchell. 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 David Mitchell. The network helps show where David Mitchell may publish in the future.
Co-authorship network of co-authors of David Mitchell
This figure shows the co-authorship network connecting the top 25 collaborators of David Mitchell.
A scholar is included among the top collaborators of David Mitchell 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 David Mitchell. David Mitchell is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Perfors, Andrew, David Mitchell, Timothy John Haynes Lovell, et al.. (2021). How effective is perceptual training? Evaluating two perceptual training methods on a difficult visual categorisation task. eScholarship (California Digital Library). 43(43).
Mitchell, David & Sharon L. Snyder. (2016). The Matter of Disability. Journal of Bioethical Inquiry. 13(4). 487–492.1 indexed citations
8.
Mitchell, David, et al.. (2016). Public Choice Lessons from the Wizarding World of Harry Potter. The Journal of private enterprise. 31(1). 57–69.7 indexed citations
Mitchell, David, et al.. (2014). "[Every] Child Left Behind". Journal of Literary & Cultural Disability Studies. 8(3). 295–314.35 indexed citations
11.
Mitchell, David, et al.. (2014). The reason I jump : one boy's voice from the silence of autism.19 indexed citations
12.
Mitchell, David, et al.. (2014). Water - Quality Watchdogs? - A Political, Environmental, and Socioeconomic Analysis of Oyster Farming in Alabama. SSRN Electronic Journal.2 indexed citations
13.
Mitchell, David, et al.. (2013). The reason I jump.1 indexed citations
14.
Mitchell, David, et al.. (2013). The reason I jump : the inner voice of a thirteen-year-old boy with autism. Random House eBooks.43 indexed citations
15.
Mitchell, David, et al.. (2011). A Futures Trading Experiment: An Active Classroom Approach to Learning. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas).4 indexed citations
16.
Mitchell, David & Sharon L. Snyder. (2010). VISUALIZING THE BODY. TRAILS: Teaching Resources and Innovations Library for Sociology.1 indexed citations
17.
Stansel, Dean & David Mitchell. (2008). State Fiscal Crises: Are Rapid Spending Increases to Blame?. Cato Journal. 28(3). 435–448.5 indexed citations
18.
Mitchell, David. (2006). A Pitfall of New Growth Theory: Rhetoric, Rent Seeking and the Semi-Informed Voter. The Journal of private enterprise. 22(1). 147–167.
19.
Mitchell, David & Sharon L. Snyder. (1998). Talking About Talking Back: Afterthoughts on the Making of the Disability Documentary Vital Signs: Crip Culture Talks Back. The Journal of the Abraham Lincoln Association.10 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.