Scott G Dacko

1.0k citations
25 papers · 683 indexed · 1 hit paper · h-index 12
Topics
Consumer Behavior in Brand Consumption and Identification (6 papers)Customer Service Quality and Loyalty (5 papers)Innovation Diffusion and Forecasting (4 papers)

In The Last Decade

Scott G Dacko

24 papers receiving 627 citations

Hit Papers

Enabling smart retail settings via mobile augmented reali...20162026201920222016100200300

Peers

Scott G Dacko
Comparison fields: 5 of 83
  • Marketing 328
  • Sociology and Political Science 204
  • Information Systems and Management 177
  • Human-Computer Interaction 115
  • Organizational Behavior and Human Resource Management 79
Replace Michael S. Lin with:
Michael S. Lin Hong Kong
Reeti Agarwal India
Adrian Micu Romania
Alexander Rossmann Germany
María del Carmen Díaz Fernández Spain
Tania von der Heidt Australia
Zeya He United States
Milena Viassone Italy
Brigitte Stangl United Kingdom
Rodrigo Perez‐Vega United Kingdom
Scott G Dacko relative to Michael S. Lin Hong Kong Michael S. Lin's profile →
Citations per field
00.5×20×40×61×
Michael S. Lin · 1×
Citations per year

Countries citing papers authored by Scott G Dacko

Since Specialization
Citations

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

Fields of papers citing papers by Scott G Dacko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Scott G Dacko. 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 Scott G Dacko. The network helps show where Scott G Dacko may publish in the future.

Co-authorship network of co-authors of Scott G Dacko

This figure shows the co-authorship network connecting the top 25 collaborators of Scott G Dacko. A scholar is included among the top collaborators of Scott G Dacko 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 Scott G Dacko. Scott G Dacko 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
#WorkIndexed citations
1 15
2 0
3
Enabling smart retail settings via mobile augmented reality shopping appsbreakdown →
338
4 2
5 11
6 43
7 53
8 6
9
Factors influencing consumers' evaluation and adoption intention of really-new products or services : prior knowledge, innovativeness and timing of product evaluation
39
10 17
11 11
12 23
13 9
14 8
15 4
16 19
17 10
18 29
19 7
20 5

About Scott G Dacko

Scott G Dacko is a scholar working on Marketing, Management of Technology and Innovation and Business and International Management, having authored 25 papers that have together received 683 indexed citations. Recurring topics across this work include Consumer Behavior in Brand Consumption and Identification (6 papers), Customer Service Quality and Loyalty (5 papers) and Innovation Diffusion and Forecasting (4 papers). The work is most often cited by research in Marketing (328 citations), Information Systems and Management (177 citations) and Human-Computer Interaction (115 citations). Scott G Dacko has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Qīng Wáng, Philip Stern, Martin Hart, Devanathan Sudharshan, Olivier Furrer, Barbara Keller, Ben Shaw‐Ching Liu, Michael Möhring, Rainer Schmidt and José Antônio Rosa. Their work appears in journals such as Journal of Business Research, Technological Forecasting and Social Change and Industrial Marketing Management.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026