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.
Predicting the location and number of faults in large software systems
2005543 citationsThomas J. Ostrand, Elaine J. Weyuker et al.profile →
Lessons from the Netflix prize challenge
2007456 citationsRobert M. Bell, Yehuda Korenprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
Countries citing papers authored by Robert M. Bell
Since
Specialization
Citations
This map shows the geographic impact of Robert M. Bell'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 Robert M. Bell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert M. Bell more than expected).
This network shows the impact of papers produced by Robert M. Bell. 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 Robert M. Bell. The network helps show where Robert M. Bell may publish in the future.
Co-authorship network of co-authors of Robert M. Bell
This figure shows the co-authorship network connecting the top 25 collaborators of Robert M. Bell.
A scholar is included among the top collaborators of Robert M. Bell 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 Robert M. Bell. Robert M. Bell is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Ostrand, Thomas J., Elaine J. Weyuker, & Robert M. Bell. (2004). Where the bugs are. ACM SIGSOFT Software Engineering Notes. 29(4). 86–96.37 indexed citations
8.
Ostrand, Thomas J., Elaine J. Weyuker, & Robert M. Bell. (2004). Where the bugs are. 86–96.204 indexed citations
9.
McCaffrey, Daniel F. & Robert M. Bell. (2003). Bias reduction in standard errors for linear regression with multi-stage samples. Quality Engineering. 48(6). 677–682.221 indexed citations
10.
McCaffrey, Daniel F. & Robert M. Bell. (2002). Bias Reduction in Standard Errors for Linear and Generalized Linear Models with Multi-Stage Samples.24 indexed citations
11.
Koretz, Daniel, Daniel F. McCaffrey, Stephen P. Klein, Robert M. Bell, & Brian M. Stecher. (1992). The Reliability of Scores from the 1992 Vermont Portfolio Assessment Program: Interim Report.22 indexed citations
12.
Koretz, Daniel, Daniel F. McCaffrey, Stephen P. Klein, Robert M. Bell, & Brian M. Stecher. (1992). The Reliability of Scores from the 1992 Vermont Portfolio Assessment Program.45 indexed citations
Bohannan, Harry M., Paul E. Anderson, Sally Carson, et al.. (1984). Examination Procedures in the National Preventive Dentistry Demonstration Program. 29(7). 270–270.4 indexed citations
18.
Bell, Robert M. & Stephen P. Klein. (1984). Management and evaluation of the effects of misclassification in a controlled clinical trial.. PubMed. 63 Spec No. 731–5.6 indexed citations
19.
Berryman, Sue E., et al.. (1981). Ceta: Is It Equitable for Women. The Journal of Organic Chemistry. 71(4). 1677–87.2 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.