Countries citing papers authored by Daniel J. Pratt
Since
Specialization
Citations
This map shows the geographic impact of Daniel J. Pratt'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 Daniel J. Pratt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel J. Pratt more than expected).
This network shows the impact of papers produced by Daniel J. Pratt. 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 Daniel J. Pratt. The network helps show where Daniel J. Pratt may publish in the future.
Co-authorship network of co-authors of Daniel J. Pratt
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. Pratt.
A scholar is included among the top collaborators of Daniel J. Pratt 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 Daniel J. Pratt. Daniel J. Pratt is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Chen, Xianglei, et al.. (2020). High School Longitudinal Study of 2009 (HSLS:09): A First Look at the Postsecondary Transcripts and Student Financial Aid Records of Fall 2009 Ninth-Graders. NCES 2020-003.. National Center for Education Statistics.2 indexed citations
2.
Ingels, Steven J., et al.. (2014). Education Longitudinal Study of 2002 (ELS:2002) Third Follow-up Data File Documentation. NCES 2014-364.. National Center for Education Statistics.24 indexed citations
Ingels, Steven J., et al.. (2013). High School Longitudinal Study of 2009 (HSLS:09) Base Year to First Follow-Up Data File Documentation. NCES 2014-361.. National Center for Education Statistics.39 indexed citations
Ingels, Steven J., et al.. (2011). High School Longitudinal Study of 2009 (HSLS:09): Base-Year Data File Documentation. NCES 2011-328.. National Center for Education Statistics.56 indexed citations
7.
Ingels, Steven J., et al.. (2010). High School Longitudinal Study of 2009 (HSLS:09) Base-Year Field Test Report. Working Paper Series. NCES 2011-01.. National Center for Education Statistics.2 indexed citations
8.
Ingels, Steven J., et al.. (2007). Education Longitudinal Study of 2002 (ELS:2002) Base-Year to Second: Follow-up Data File Documentation. NCES 2008-347.. National Center for Education Statistics.89 indexed citations
9.
Ingels, Steven J., et al.. (2005). Education Longitudinal Study of 2002: Base-Year to First Follow-Up Data File Documentation. NCES 2006-344.. National Center for Education Statistics.51 indexed citations
10.
Ingels, Steven J., et al.. (2004). Education Longitudinal Study of 2002: Base Year Data File User's Manual. NCES 2004-405.. National Center for Education Statistics.110 indexed citations
Whitmore, Roy W., et al.. (2000). Beginning Postsecondary Students Longitudinal Study First Follow-up 1996-98 (BPS:96/98) Methodology Report.. 2(2).5 indexed citations
Whitmore, Roy W., et al.. (1997). National Postsecondary Student Aid Study (NPSAS:2000) Methodology Report, 1999-2000. Technical Report..2 indexed citations
17.
Pratt, Daniel J.. (1996). Beginning Postsecondary Students Longitudinal Study Second Follow-up (BPS:90/94) Final Technical Report..7 indexed citations
18.
Pratt, Daniel J., et al.. (1990). Technical rationale behind the proposed ANSI electrostatic discharge standard. 10–15.1 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.