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.
Statistics notes: Cronbach's alpha: Table 1
19974.0k citationsJ M. Bland, David AltmanBMJprofile →
Statistics notes: Absence of evidence is not evidence of absence
19951.1k citationsDavid Altman, John M. BlandBMJprofile →
This map shows the geographic impact of David Altman'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 Altman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Altman more than expected).
This network shows the impact of papers produced by David Altman. 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 Altman. The network helps show where David Altman may publish in the future.
Co-authorship network of co-authors of David Altman
This figure shows the co-authorship network connecting the top 25 collaborators of David Altman.
A scholar is included among the top collaborators of David Altman 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 Altman. David Altman is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
King, Sara N., et al.. (2011). Discovering the leader in you: how to realize your leadership potential. CERN Document Server (European Organization for Nuclear Research).5 indexed citations
Schriger, David L., et al.. (2010). REPORTING OF CONTINUOUS OUTCOME MEASURES IN RANDOMIZED CLINICAL TRIALS: IS THE WHOLE STORY BEING TOLD?. Journal of Investigative Medicine. 58. 175–176.1 indexed citations
8.
Leroy, Sylvie, Carla Romanello, Vladislav Smolkin, et al.. (2010). Prediction of High-Grade Vesico-Ureteral Reflux after a First Urinary Tract Infection in Children: Construction and Internal Validation of a Clinical Decision Rule. Pediatric Nephrology. 25. 1852–1852.3 indexed citations
9.
Altman, David & Rossana Castiglioni. (2009). GABINETES MINISTERIALES Y REFORMAS ESTRUCTURALES EN AMÉRICA LATINA, 1985-2000. Americanae (AECID Library). 18(1). 15–39.6 indexed citations
Altman, David & Juan Pablo Luna. (2007). Desafección cívica, polarización\nideológica y calidad de la\ndemocracia: una introducción al\nanuario político de América Latina. Redalyc (Universidad Autónoma del Estado de México).8 indexed citations
Bland, J M. & David Altman. (1997). Statistics notes: Cronbach's alpha: Table 1. BMJ. 314(7080). 572–572.4007 indexed citations breakdown →
16.
Altman, David & John M. Bland. (1995). Statistics notes: Absence of evidence is not evidence of absence. BMJ. 311(7003). 485–485.1133 indexed citations breakdown →
Altman, David, S M Gore, Martin J. Gardner, & Stuart Pocock. (1983). Statistical guidelines for contributors to medical journals.. BMJ. 286(6376). 1489–1493.498 indexed citations breakdown →
19.
Altman, David. (1980). Statistics and ethics in medical research: III How large a sample?. BMJ. 281(6251). 1336–1338.479 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.