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.
Technical Change and Economic Theory
1989490 citationsElias L. Khalil, Giovanni Dosi et al.Southern Economic Journalprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Gerald Silverberg
Since
Specialization
Citations
This map shows the geographic impact of Gerald Silverberg'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 Gerald Silverberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerald Silverberg more than expected).
Fields of papers citing papers by Gerald Silverberg
This network shows the impact of papers produced by Gerald Silverberg. 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 Gerald Silverberg. The network helps show where Gerald Silverberg may publish in the future.
Co-authorship network of co-authors of Gerald Silverberg
This figure shows the co-authorship network connecting the top 25 collaborators of Gerald Silverberg.
A scholar is included among the top collaborators of Gerald Silverberg 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 Gerald Silverberg. Gerald Silverberg 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.
McNerney, James, Brian D. Fath, & Gerald Silverberg. (2013). Network structure of inter-industry flows. Physica A Statistical Mechanics and its Applications. 392(24). 6427–6441.86 indexed citations
2.
Silverberg, Gerald. (2009). Growth Theory from an Evolutionary Perspective.2 indexed citations
Schweitzer, Frank & Gerald Silverberg. (1998). Evolution und Selbstorganisation in der Ökonomie = Evolution and self-organization in economics. Duncker & Humblot eBooks.1 indexed citations
10.
Silverberg, Gerald & Bart Verspagen. (1998). Economic growth and economic evolution. A modelling perspective. Data Archiving and Networked Services (DANS). 239–264.3 indexed citations
11.
Silverberg, Gerald & Bart Verspagen. (1998). Economic growth as an evolutionary process. Data Archiving and Networked Services (DANS). 265–296.2 indexed citations
Silverberg, Gerald & Bart Verspagen. (1995). From the Artificial to the Endogenous: Modeling Evolutionary Adaptation and Economic Growth. IIASA PURE (International Institute of Applied Systems Analysis).3 indexed citations
14.
Silverberg, Gerald & Luc Soete. (1994). The Economics of Growth and Technical Change: Technologies, Nations, Agents. Medical Entomology and Zoology.16 indexed citations
Silverberg, Gerald & Bart Verspagen. (1994). Economic Dynamics and Behavioral Adaptation: An Application To An Evolutionary Endogenous Growth Model. IIASA PURE (International Institute of Applied Systems Analysis).5 indexed citations
Khalil, Elias L., Giovanni Dosi, Christopher Freeman, et al.. (1989). Technical Change and Economic Theory. Southern Economic Journal. 55(4). 1070–1070.490 indexed citations breakdown →
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.