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.
Scientists behaving badly
2005672 citationsMelissa S. Anderson et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Melissa S. Anderson
Since
Specialization
Citations
This map shows the geographic impact of Melissa S. Anderson'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 Melissa S. Anderson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Melissa S. Anderson more than expected).
Fields of papers citing papers by Melissa S. Anderson
This network shows the impact of papers produced by Melissa S. Anderson. 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 Melissa S. Anderson. The network helps show where Melissa S. Anderson may publish in the future.
Co-authorship network of co-authors of Melissa S. Anderson
This figure shows the co-authorship network connecting the top 25 collaborators of Melissa S. Anderson.
A scholar is included among the top collaborators of Melissa S. Anderson 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 Melissa S. Anderson. Melissa S. Anderson is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Anderson, Melissa S.. (2011). Research misconduct and misbehavior. 83–96.19 indexed citations
7.
Anderson, Melissa S. & Nicholas H. Steneck. (2011). Realizing gains and staying out of trouble. Routledge eBooks. 243–248.1 indexed citations
8.
Anderson, Melissa S. & Nicholas H. Steneck. (2011). International research collaborations : much to be gained, many ways to get in trouble. Routledge eBooks.25 indexed citations
9.
Anderson, Melissa S., et al.. (2011). Differences in national approaches to doctoral education: Implications for international research collaborations. Routledge eBooks. 169–190.1 indexed citations
10.
Anderson, Melissa S.. (2010). What can be gained and what can go wrong in the context of different national research environments. Routledge eBooks. 3–8.1 indexed citations
Anderson, Melissa S.. (1998). The experience of being in Graduate School : an exploration. Bibliothèque et Archives nationales du Québec (Québec government).91 indexed citations
16.
Louis, Karen Seashore & Melissa S. Anderson. (1998). The changing context of science and university-industry relations. 73–91.7 indexed citations
17.
Anderson, Melissa S.. (1996). Misconduct and departmental context-evidence from the acadia institute's graduate education project. DigitalGeorgetown (Georgetown University Library). 5(1). 15–32.25 indexed citations
Anderson, Melissa S., et al.. (1993). Ethical Problems in Academic Research. American Scientist. 81(6). 542–553.156 indexed citations
20.
Kirk, W. A. & Melissa S. Anderson. (1983). A coincidence theorem for mappings satisfying local conditions. 2. 159–170.1 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.