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.
This map shows the geographic impact of David Rogers'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 Rogers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Rogers more than expected).
This network shows the impact of papers produced by David Rogers. 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 Rogers. The network helps show where David Rogers may publish in the future.
Co-authorship network of co-authors of David Rogers
This figure shows the co-authorship network connecting the top 25 collaborators of David Rogers.
A scholar is included among the top collaborators of David Rogers 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 Rogers. David Rogers is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Rogers, David, et al.. (2018). The UK pharmaceutical industry braces for Brexit, be it mild, severe, or doomsday. Medical Writing. 27. 41–45.1 indexed citations
Alessa, Lilian, Andrew Kliskey, Mark Altaweel, et al.. (2015). Best Practices Integrating Social Sciences into Social Ecological Systems Science: Future Directions for Building a More Resilient America. UCL Discovery (University College London).10 indexed citations
8.
Rogers, David. (2011). THE ECCLESIOLOGY OF WATCHMAN NEE. 1(9).1 indexed citations
Rogers, David & John McLeod. (2004). The revision of Englishness. Manchester University Press eBooks.1 indexed citations
11.
Rogers, David. (1997). Evolutionary Statistics: Using a Genetic Algorithm and Model Reduction to Isolate Alternate Statistical Hypotheses of Experimental Data.. 735–742.4 indexed citations
12.
Rogers, David. (1995). Development of the Genetic Function Approximation Algorithm. international conference on Genetic algorithms. 589–596.3 indexed citations
13.
Rogers, David. (1991). Data Analysis using G/SPLINES. Neural Information Processing Systems. 4. 1088–1095.4 indexed citations
14.
Rogers, David. (1991). G/SPLINES: A hybrid of Friedman's Multivariate Adaptive Regression Splines (MARS) algorithm with Holland's genetic algorithm. NASA Technical Reports Server (NASA). 384–391.31 indexed citations
15.
Rogers, David. (1989). Predicting Weather Using a Genetic Memory: A Combination of Kanerva's Sparse Distributed Memory with Holland's Genetic Algorithms. Neural Information Processing Systems. 2. 455–464.18 indexed citations
16.
Rogers, David. (1988). Statistical Prediction with Kanerva's Sparse Distributed Memory. NASA Technical Reports Server (NASA). 1. 586–593.13 indexed citations
17.
Rogers, David. (1982). School Decentralization: It Works.. 12(4). 13–23.
18.
Rogers, David, et al.. (1977). A compendium of millimeter wave propagation studies performed by NASA. NASA STI Repository (National Aeronautics and Space Administration).1 indexed citations
Rogers, David. (1965). The plays of Eugene O'Neill : a critical commentary.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.