This map shows the geographic impact of John Whitmore'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 John Whitmore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Whitmore more than expected).
This network shows the impact of papers produced by John Whitmore. 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 John Whitmore. The network helps show where John Whitmore may publish in the future.
Co-authorship network of co-authors of John Whitmore
This figure shows the co-authorship network connecting the top 25 collaborators of John Whitmore.
A scholar is included among the top collaborators of John Whitmore 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 John Whitmore. John Whitmore is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Whitmore, John, et al.. (2017). Rounding of Quartz and K-Feldspar Sand From Beach to Dune Settings Along the California and Oregon Coastlines: Implications for Ancient Sandstones. DigitalCommons-Cedarville (Cedarville University). 10. 259–270.3 indexed citations
Whitmore, John, et al.. (2015). Intraformational Parabolic Recumbent Folds in the Coconino Sandstone (Permian) and Two Other Formations in Sedona, Arizona (USA). DigitalCommons-Cedarville (Cedarville University). 8. 21–40.2 indexed citations
9.
Whitmore, John. (2013). The Potential for and Implications of Widespread Post-Flood Erosion and Mass Wasting Processes. DigitalCommons-Cedarville (Cedarville University). 7(1). 15.
10.
Whitmore, John, et al.. (2011). Unusual bedding styles for the Coconino Sandstone (Permian), Arizona. DigitalCommons-Cedarville (Cedarville University). 43(5). 433.
11.
Whitmore, John, et al.. (2011). Can compaction account for lower-than-expected cross-bed dips in the Coconino Sandstone (Permian), Arizona?. DigitalCommons-Cedarville (Cedarville University). 43(5). 433.1 indexed citations
12.
Whitmore, John, et al.. (2010). Textural trends in the Coconino Sandstone, central and northern Arizona, USA. DigitalCommons-Cedarville (Cedarville University). 42(5). 428.1 indexed citations
13.
Whitmore, John, et al.. (2009). Petrographic Analysis of the Coconino Sandstone, Northern and Central Arizona. DigitalCommons-Cedarville (Cedarville University). 41(7). 122.1 indexed citations
14.
Whitmore, John. (2009). Coaching for performance : Growing human potential and purpose: the principle and practice of coaching and leadership. CERN Document Server (European Organization for Nuclear Research).17 indexed citations
15.
Whitmore, John, et al.. (2008). Rapid and Early Post-Flood Mammalian Diversification Evidenced in the Green River Formation. DigitalCommons-Cedarville (Cedarville University). 6(1). 36.5 indexed citations
Whitmore, John. (2006). Difficulties with a Flood model for the Green River Formation. DigitalCommons-Cedarville (Cedarville University). 20(1). 81–85.3 indexed citations
18.
Whitmore, John. (2005). Coaching: el método para mejorar el rendimiento de las personas.17 indexed citations
Whitmore, John. (1990). The Hartford Basin of Central Connecticut: Multiple Evidences of Catastrophism. DigitalCommons-Cedarville (Cedarville University). 2(1). 61.1 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.