Daniel S. Putler

1.5k total citations
20 papers, 1.1k citations indexed

About

Daniel S. Putler is a scholar working on Marketing, Economics and Econometrics and Strategy and Management. According to data from OpenAlex, Daniel S. Putler has authored 20 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Marketing, 10 papers in Economics and Econometrics and 4 papers in Strategy and Management. Recurrent topics in Daniel S. Putler's work include Consumer Market Behavior and Pricing (11 papers), Merger and Competition Analysis (5 papers) and Economics of Agriculture and Food Markets (4 papers). Daniel S. Putler is often cited by papers focused on Consumer Market Behavior and Pricing (11 papers), Merger and Competition Analysis (5 papers) and Economics of Agriculture and Food Markets (4 papers). Daniel S. Putler collaborates with scholars based in United States and Canada. Daniel S. Putler's co-authors include Richard Wolfe, David Zilberman, Ward Hanson, Kirthi Kalyanam, Robert E. Krider, Charles B. Weinberg, Yong Liu, Elizabeth Frazão, James S. Hodges and James S. Hodges and has published in prestigious journals such as Journal of Marketing Research, Organization Science and Marketing Science.

In The Last Decade

Daniel S. Putler

19 papers receiving 930 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Daniel S. Putler United States	12	430	339	243	211	126	20	1.1k
Roger J. Best United States	14	520 1.2×	165 0.5×	375 1.5×	192 0.9×	92 0.7×	40	1.2k
Paul E. Nelson United States	12	333 0.8×	247 0.7×	95 0.4×	114 0.5×	97 0.8×	42	831
Paul Dobson United Kingdom	23	601 1.4×	812 2.4×	112 0.5×	573 2.7×	136 1.1×	72	1.6k
Arieh Goldman Israel	19	693 1.6×	268 0.8×	424 1.7×	412 2.0×	65 0.5×	39	1.6k
Mukesh Bhargava United States	14	433 1.0×	137 0.4×	242 1.0×	302 1.4×	115 0.9×	27	1.0k
Reto Hofstetter Switzerland	14	521 1.2×	294 0.9×	306 1.3×	150 0.7×	69 0.5×	40	1.1k
Luc Wathieu United States	16	928 2.2×	278 0.8×	409 1.7×	222 1.1×	126 1.0×	40	1.5k
Douglas J. Tigert United States	19	1.2k 2.9×	309 0.9×	353 1.5×	191 0.9×	163 1.3×	31	1.8k
Oded Lowengart Israel	15	549 1.3×	131 0.4×	269 1.1×	181 0.9×	163 1.3×	39	923
Francisco Mas Ruiz Spain	20	419 1.0×	420 1.2×	638 2.6×	343 1.6×	183 1.5×	76	1.5k

Countries citing papers authored by Daniel S. Putler

Since Specialization

Citations

This map shows the geographic impact of Daniel S. Putler'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 S. Putler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel S. Putler more than expected).

Fields of papers citing papers by Daniel S. Putler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel S. Putler. 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 S. Putler. The network helps show where Daniel S. Putler may publish in the future.

Co-authorship network of co-authors of Daniel S. Putler

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel S. Putler. A scholar is included among the top collaborators of Daniel S. Putler 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 S. Putler. Daniel S. Putler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

1.

Krider, Robert E. & Daniel S. Putler. (2013). Which Birds of a Feather Flock Together? Clustering and Avoidance Patterns of Similar Retail Outlets. Geographical Analysis. 45(2). 123–149. 27 indexed citations

2.

Putler, Daniel S. & Robert E. Krider. (2012). Customer and Business Analytics: Applied Data Mining for Business Decision Making Using R. CERN Document Server (European Organization for Nuclear Research). 9 indexed citations

3.

Putler, Daniel S. & Robert E. Krider. (2012). Customer and Business Analytics. 7 indexed citations

4.

Putler, Daniel S., et al.. (2007). The value of household life cycle variables in consumer expenditure research: An empirical examination. Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l Administration. 24(4). 284–299. 3 indexed citations

5.

Liu, Yong, Daniel S. Putler, & Charles B. Weinberg. (2006). A Reply to “A Comment on ‘Is Having More Channels Really Better? A Model of Competition Among Commercial Television Broadcasters’ ”. Marketing Science. 25(5). 543–546. 3 indexed citations

6.

Putler, Daniel S., et al.. (2006). The welfare and equity implications of competition in television broadcasting: the role of viewer tastes. Journal of Cultural Economics. 30(2). 127–140. 4 indexed citations

7.

Liu, Yong, Daniel S. Putler, & Charles B. Weinberg. (2004). Is Having More Channels Really Better? A Model of Competition Among Commercial Television Broadcasters. Marketing Science. 23(1). 120–133. 54 indexed citations

8.

Putler, Daniel S., et al.. (2003). Is Having More Channels Really Better? A Model of Competition Among Commercial Television Broadcasters.

9.

Putler, Daniel S., et al.. (2003). An Easily Implemented Framework for Forecasting Ticket Sales to Performing Arts Events. Marketing Letters. 14(4). 307–320. 15 indexed citations

10.

Wolfe, Richard & Daniel S. Putler. (2002). How Tight Are the Ties that Bind Stakeholder Groups?. Organization Science. 13(1). 64–80. 245 indexed citations

11.

Putler, Daniel S. & Richard Wolfe. (1999). Perceptions of Intercollegiate Athletic Programs: Priorities and Tradeoffs. Sociology of Sport Journal. 16(4). 301–325. 63 indexed citations

12.

Kalyanam, Kirthi & Daniel S. Putler. (1997). Incorporating Demographic Variables in Brand Choice Models: An Indivisible Alternatives Framework. Marketing Science. 16(2). 166–181. 71 indexed citations

13.

Putler, Daniel S., Kirthi Kalyanam, & James S. Hodges. (1996). A Bayesian Approach for Estimating Target Market Potential with Limited Geodemographic Information. Journal of Marketing Research. 33(2). 134–149. 7 indexed citations

14.

Putler, Daniel S., Kirthi Kalyanam, & James S. Hodges. (1996). A Bayesian Approach for Estimating Target Market Potential with Limited Geodemographic Information. Journal of Marketing Research. 33(2). 134–134. 19 indexed citations

15.

Hanson, Ward & Daniel S. Putler. (1996). Hits and misses: Herd behavior and online product popularity. Marketing Letters. 7(4). 297–305. 106 indexed citations

16.

Putler, Daniel S., et al.. (1994). Consumer Awareness of Diet-Disease Relationships and Dietary Behavior: The Case of Dietary Fat. AgEcon Search (University of Minnesota, USA). 45(1). 1–15. 30 indexed citations

17.

Putler, Daniel S.. (1992). Incorporating Reference Price Effects into a Theory of Consumer Choice. Marketing Science. 11(3). 287–309. 260 indexed citations

18.

Putler, Daniel S., et al.. (1991). Diet/Health Concerns About Fat Intake. AgEcon Search (University of Minnesota, USA). 14(1). 12 indexed citations

19.

Putler, Daniel S.. (1988). Reference price theory : a behavioral analysis of consumer response to price changes. Medical Entomology and Zoology. 1 indexed citations

20.

Putler, Daniel S. & David Zilberman. (1988). Computer Use in Agriculture: Evidence from Tulare County, California. American Journal of Agricultural Economics. 70(4). 790–802. 127 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.

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