G. Tomas

695 citations
8 papers · 572 · h-index 6

Impact in

Papers in

    • Innovation and Knowledge Management 2
    • Consumer Behavior in Brand Consumption and Identification 2
    • Consumer Retail Behavior Studies 2
    • Consumer Market Behavior and Pricing 2

G. Tomas

8 papers receiving 514 citations

Peers

G. Tomas
Comparison fields: 5 of 57
  • Organizational Behavior and Human Resource Management 302
  • Marketing 252
  • Information Systems and Management 93
  • Strategy and Management 152
  • Tourism, Leisure and Hospitality Management 15
Replace David C. Arnott with:
David C. Arnott United Kingdom
Ka‐shing Woo Hong Kong
Wen‐Bao Lin Taiwan
Thomas Tellefsen United States
Gabriele Helfert Germany
Nektarios Tzempelikos United Kingdom
Peter Thirkell New Zealand
Sarang Sunder United States
Jan Carlzon
Nicoletta Occhiocupo United Kingdom
G. Tomas relative to David C. Arnott United Kingdom David C. Arnott's profile →
Citations per field
00.5×1.7×
David C. Arnott · 1×
Citations per year

Countries citing papers authored by G. Tomas

Since Specialization
Citations

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

Fields of papers citing papers by G. Tomas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside G. Tomas, 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 G. Tomas Line = papers co-authored together G. Tomas links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2005320
2 2003101
3
Worldwide Faculty Perceptions of Marketing Journals: Rankings, Trends, Comparisons, and Segmentations
200965
4 200358
5 199717
6 20025
7 20145
8
THE RELATION OF LEARNING AND MEMORY WITH ORGANIZATIONAL PERFORMANCE
20061

About G. Tomas

G. Tomas is a scholar working on Strategy and Management, Marketing, Management Information Systems, Organizational Behavior and Human Resource Management and Communication, having authored 8 papers that have together received 572 indexed citations. Recurring topics across this work include Innovation and Knowledge Management (2 papers), Consumer Behavior in Brand Consumption and Identification (2 papers), Customer Service Quality and Loyalty (2 papers), Consumer Retail Behavior Studies (2 papers), Quality and Supply Management (2 papers), Consumer Market Behavior and Pricing (2 papers), Supply Chain and Inventory Management (1 paper) and Knowledge Management and Sharing (1 paper). The work is most often cited by research in Organizational Behavior and Human Resource Management (302 citations), Marketing (252 citations), Information Systems and Management (93 citations), Strategy and Management (152 citations) and Tourism, Leisure and Hospitality Management (15 citations). G. Tomas has collaborated with scholars based in United States and Russia. Frequent co-authors include G. Tomas M. Hult, Bruce D. Keillor, Gary Knight, Michael K. Brady, Oliver Schilke, Martin Reimann, William T. Neese and K. Sivakumar. Their work appears in journals such as Journal of Product Innovation Management, Journal of Retailing, Industrial Marketing Management, Decision Sciences and Journal of Promotion 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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