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.
Computing Response Metrics for Online Panels
2008429 citationsMario Callegaro, Charles DiSograPublic Opinion Quarterlyprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Charles DiSogra
Since
Specialization
Citations
This map shows the geographic impact of Charles DiSogra'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 Charles DiSogra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charles DiSogra more than expected).
This network shows the impact of papers produced by Charles DiSogra. 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 Charles DiSogra. The network helps show where Charles DiSogra may publish in the future.
Co-authorship network of co-authors of Charles DiSogra
This figure shows the co-authorship network connecting the top 25 collaborators of Charles DiSogra.
A scholar is included among the top collaborators of Charles DiSogra 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 Charles DiSogra. Charles DiSogra is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Ball, Sarah, Sara Donahue, David Izrael, et al.. (2013). Influenza Vaccination Coverage Among Pregnant Women — United States, 2012–13 Influenza Season. MMWR Morbidity and Mortality Weekly Report. 62(38). 787–792.57 indexed citations
7.
Ball, Sarah, Sara Donahue, David Izrael, et al.. (2013). Influenza Vaccination Coverage Among Health-Care Personnel — United States, 2012–13 Influenza Season. PubMed Central. 62.17 indexed citations
DiSogra, Charles, James Dennis, & Mansour Fahimi. (2010). On the Quality of Ancillary Data Available for Address- Based Sampling.19 indexed citations
11.
Zhang, Chan, Mario Callegaro, Melanie Thomas, & Charles DiSogra. (2009). Do We Hear Different Voices?: Investigating the Differences Between Internet and non-Internet Users On Attitudes and Behaviors.2 indexed citations
12.
Callegaro, Mario & Charles DiSogra. (2008). Computing Response Metrics for Online Panels. SSRN Electronic Journal.1 indexed citations
DiSogra, Charles & Mark Hudes. (2005). California Fruit & Vegetable Intake Calibration Study.4 indexed citations
17.
DiSogra, Charles, et al.. (2004). Hunger in Los Angeles County affects over 200,000 low-income adults, another 560,000 at risk.. PubMed. 1–8.1 indexed citations
Harrison, Gail G., et al.. (2002). Over 2.2 million low-income California adults are food insecure; 658,000 suffer hunger.. PubMed. 1–8.12 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.