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.
Decision Systems for Inventory Management and Production Planning
19791.1k citationsEdward A. Silver et al.profile →
Fostering creativity through instruction rich in mathematical problem solving and problem posing
Countries citing papers authored by Edward A. Silver
Since
Specialization
Citations
This map shows the geographic impact of Edward A. Silver'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 Edward A. Silver with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edward A. Silver more than expected).
Fields of papers citing papers by Edward A. Silver
This network shows the impact of papers produced by Edward A. Silver. 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 Edward A. Silver. The network helps show where Edward A. Silver may publish in the future.
Co-authorship network of co-authors of Edward A. Silver
This figure shows the co-authorship network connecting the top 25 collaborators of Edward A. Silver.
A scholar is included among the top collaborators of Edward A. Silver 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 Edward A. Silver. Edward A. Silver is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Silver, Edward A., et al.. (2014). Using PISA to Stimulate STEM Teacher Professional Learning in the United States: The Case of Mathematics.. Issues in teacher education. 23(1). 11–30.3 indexed citations
Silver, Edward A.. (2008). An Overview of Inventory Management with Some Suggested Research Topics. Journal of Korean Institute of Industrial Engineers. 34(4). 373–385.4 indexed citations
Silver, Edward A.. (2006). Formação de Professores de Matemática: desafios e direções. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas).5 indexed citations
8.
Zufferey, Nicolas, Martin Studer, & Edward A. Silver. (2006). Tabu search for a car sequencing problem. Archive ouverte UNIGE (University of Geneva). 457–462.6 indexed citations
9.
Moon, Ilkyeong, et al.. (2006). Recycling and Purchasing Policies for Multiple Convertible Units. 6(2). 109–120.1 indexed citations
10.
Silver, Edward A.. (2004). Ella Minnow Pea: An Allegory for Our Times?. Journal for Research in Mathematics Education. 35(3). 154–156.9 indexed citations
11.
Silver, Edward A.. (2003). Reflections on Reviews and Reviewers. Journal for Research in Mathematics Education. 34(5). 370–372.1 indexed citations
Kenney, Patricia Ann, Judith S. Zawojewski, & Edward A. Silver. (1998). Marcy's Dot Pattern.. Mathematics Teaching in the Middle School. 3(7).4 indexed citations
Silver, Edward A.. (1994). On Mathematical Problem Posing.. for the learning of mathematics. 14(1). 19–28.439 indexed citations
17.
Silver, Edward A., et al.. (1992). Referential Mappings and the Solution of Division Story Problems Involving Remainders.. Focus on learning problems in mathematics. 14(3). 29–39.13 indexed citations
18.
Silver, Edward A.. (1990). Thinking through Mathematics: Fostering Inquiry and Communication in Mathematics Classrooms. The Thinking Series..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.