Greg Rawski

16 papers receiving 1.1k citations

Greg Rawski's Hit Papers

Technology acceptance model (TAM) and social media usage: an empirical study on Facebook 2014 · 646 citations
6460+4+8Years since publication200400600

Peers

Greg Rawski
Comparison fields: 5 of 87
  • Information Systems and Management 453
  • Management Information Systems 219
  • Communication 170
  • Marketing 202
  • Strategy and Management 326
Replace Rupak Rauniar with:
Rupak Rauniar United States
Hee‐Dong Yang South Korea
Annette Mills New Zealand
Jéssica Braojos Spain
R.M. Walczuch Netherlands
Kee-Young Kwahk South Korea
Arjen Wassenaar Netherlands
Vincent Dutot France
Paul S. Licker United States
Yong Jin Kim South Korea
Greg Rawski relative to Rupak Rauniar United States Rupak Rauniar's profile →
Citations per field
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Rupak Rauniar · 1×
Citations per year

Countries citing papers authored by Greg Rawski

Since Specialization
Citations

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

Fields of papers citing papers by Greg Rawski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Greg Rawski. 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 Greg Rawski. The network helps show where Greg Rawski may publish in the future.

Co-authors

The 11 scholars most cited alongside Greg Rawski, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Greg Rawski Line = papers co-authored together Greg Rawski links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1
Technology acceptance model (TAM) and social media usage: an empirical study on Facebook
Hit paper breakdown →
2014646
2 2010132
3 200873
4 200853
5 201252
6 201946
7
C2c Online Auction Website Performance: Buyer's Perspective
200938
8 201336
9 201131
10 202321
11 20177
12 20173
13 20192
14 20071
15 20131
16 20191

About Greg Rawski

Greg Rawski is a scholar working on Strategy and Management, Information Systems and Management, Management of Technology and Innovation, Management Science and Operations Research and Communication, having authored 16 papers that have together received 1.1k indexed citations. Recurring topics across this work include Innovation and Knowledge Management (8 papers), Technology Adoption and User Behaviour (7 papers), Product Development and Customization (5 papers), Knowledge Management and Sharing (4 papers), Digital Marketing and Social Media (4 papers), Construction Project Management and Performance (3 papers), Impact of Technology on Adolescents (2 papers) and Quality and Supply Management (2 papers). The work is most often cited by research in Information Systems and Management (453 citations), Management Information Systems (219 citations), Communication (170 citations), Marketing (202 citations) and Strategy and Management (326 citations). Greg Rawski has collaborated with scholars based in United States and Russia. Frequent co-authors include Rupak Rauniar, Ben Johnson, Paul Hong, Xenophon Koufteros, William J. Doll, James Jungbae Roh, Jie Yang, Qing Cao, Donald A. Hudson and Atefeh Yazdanparast. Their work appears in journals such as Journal of Enterprise Information Management, International Journal of Production Economics, Benchmarking An International Journal, Journal of electronic commerce research and International Journal of Project 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.

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