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.
Green Innovation, Managerial Concern and Firm Performance: An Empirical Study
2017568 citationsDaniel Lerner, Markus Fitza et al.profile →
The Homeless Mind: Modernization and Consciousness.
This map shows the geographic impact of Daniel Lerner'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 Daniel Lerner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Lerner more than expected).
This network shows the impact of papers produced by Daniel Lerner. 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 Daniel Lerner. The network helps show where Daniel Lerner may publish in the future.
Co-authorship network of co-authors of Daniel Lerner
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Lerner.
A scholar is included among the top collaborators of Daniel Lerner 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 Daniel Lerner. Daniel Lerner is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Lerner, Daniel & Ingrid Verheul. (2016). ENTREPRENEURIAL INTENTIONS, BEHAVIOR, ADHD, & FLOW. Frontiers of entrepreneurship research. 36(3). 1.
10.
Hmieleski, Keith M. & Daniel Lerner. (2013). THE DARK TRIAD: NARCISSISM, PSYCHOPATHY, AND MACHIAVELLIANISM AS PREDICTORS OF ENTREPRENEURIAL ENTRY (SUMMARY). Frontiers of entrepreneurship research. 33(4). 6.8 indexed citations
11.
Hunt, Richard A. & Daniel Lerner. (2012). REASSESSING THE ENTREPRENEURIAL SPINOFF PERFORMANCE ADVANTAGE: A NATURAL EXPERIMENT INVOLVING A COMPLETE POPULATION. Frontiers of entrepreneurship research. 32(12). 2.11 indexed citations
12.
Lerner, Daniel & Markus Fitza. (2012). DISINHIBITION & ENTREPRENEURIAL BEHAVIOR: A NEW AND INTEGRATIVE PREDICTOR OF ENTREPRENEURIAL ACTION (INTERACTIVE PAPER). Frontiers of entrepreneurship research. 32(6). 22.1 indexed citations
13.
Lerner, Daniel, et al.. (1983). Memudarnya masyarakat tradisional.6 indexed citations
14.
Lerner, Daniel, et al.. (1978). Congenital Kyphoscoliosis in a Foal. Journal of the American Veterinary Medical Association. 172(3). 274–276.6 indexed citations
15.
Lasswell, Harold D., Daniel Lerner, & John D. Montgomery. (1976). Values and development : appraising Asian experience. MIT Press eBooks.13 indexed citations
Lerner, Daniel & Robert A. Dahl. (1965). Cause and effect : the Hayden Colloquium on scientific method and concept.2 indexed citations
18.
Lerner, Daniel. (1963). Parts and wholes : the Hayden Colloquium on scientific method and concept.3 indexed citations
19.
Aron, Raymond, et al.. (1956). La Querelle de la C.E.D : essais d'analyse sociologique. A. Colin eBooks.2 indexed citations
20.
Lasswell, Harold D., et al.. (1952). The comparative study of elites. University Microfilms eBooks.57 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.