Thomas S. Gruca

3.2k total citations · 1 hit paper
83 papers, 2.2k citations indexed

About

Thomas S. Gruca is a scholar working on Economics and Econometrics, Marketing and Management Science and Operations Research. According to data from OpenAlex, Thomas S. Gruca has authored 83 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Economics and Econometrics, 28 papers in Marketing and 16 papers in Management Science and Operations Research. Recurrent topics in Thomas S. Gruca's work include Consumer Market Behavior and Pricing (26 papers), Healthcare Policy and Management (15 papers) and Global Health Workforce Issues (10 papers). Thomas S. Gruca is often cited by papers focused on Consumer Market Behavior and Pricing (26 papers), Healthcare Policy and Management (15 papers) and Global Health Workforce Issues (10 papers). Thomas S. Gruca collaborates with scholars based in United States, Canada and South Korea. Thomas S. Gruca's co-authors include Lopo L. Rego, Deepika Nath, Devanathan Sudharshan, Bruce R. Klemz, Yong Cao, Leland Campbell, Charles S. Gulas, Yong Cao, Joyce E. Berg and Kuldeep Kumar and has published in prestigious journals such as PLoS ONE, Journal of Marketing and Strategic Management Journal.

In The Last Decade

Thomas S. Gruca

78 papers receiving 2.0k citations

Hit Papers

Customer Satisfaction, Cash Flow, and Shareholder Value 2005 2026 2012 2019 2005 100 200 300 400 500
What are hit papers?

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.

  1. Customer Satisfaction, Cash Flow, and Shareholder Value
    2005 549 citations Thomas S. Gruca, Lopo L. Rego Journal of Marketing profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas S. Gruca United States 24 872 753 629 490 356 83 2.2k
V. Kasturi Rangan United States 22 617 0.7× 896 1.2× 615 1.0× 251 0.5× 432 1.2× 94 2.2k
Jorge Silva‐Risso United States 19 1.3k 1.5× 668 0.9× 186 0.3× 762 1.6× 338 0.9× 35 2.2k
Aneel Karnani United States 24 463 0.5× 1.2k 1.6× 289 0.5× 805 1.6× 231 0.6× 62 2.7k
Tahir M. Nisar United Kingdom 21 460 0.5× 414 0.5× 349 0.6× 285 0.6× 708 2.0× 71 1.9k
Richard N. Cardozo United States 22 860 1.0× 997 1.3× 1.5k 2.5× 487 1.0× 646 1.8× 43 4.1k
Mosad Zineldin Sweden 24 610 0.7× 728 1.0× 1.2k 1.9× 161 0.3× 394 1.1× 66 2.1k
Ana Isabel Canhoto United Kingdom 22 406 0.5× 450 0.6× 264 0.4× 261 0.5× 674 1.9× 53 2.3k
Prodromos Chatzoglou Greece 29 286 0.3× 592 0.8× 596 0.9× 301 0.6× 423 1.2× 96 2.9k
Saudah Sofian Malaysia 16 662 0.8× 1.4k 1.9× 380 0.6× 189 0.4× 166 0.5× 57 2.2k
Maurizio Massaro Italy 30 644 0.7× 1.4k 1.9× 239 0.4× 362 0.7× 339 1.0× 94 3.5k

Countries citing papers authored by Thomas S. Gruca

Since Specialization
Citations

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

Fields of papers citing papers by Thomas S. Gruca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas S. Gruca

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas S. Gruca. A scholar is included among the top collaborators of Thomas S. Gruca 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 Thomas S. Gruca. Thomas S. Gruca 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
1.
Gruca, Thomas S., et al.. (2025). How does training improve individual forecasts? Modeling differences in compensatory and non-compensatory biases in geopolitical forecasts. International Journal of Forecasting. 41(2). 487–498.
2.
Ryckman, Kelli K., et al.. (2023). Closure of Labor & Delivery units in rural counties is associated with reduced adequacy of prenatal care, even when prenatal care remains available. The Journal of Rural Health. 39(4). 746–755. 2 indexed citations
3.
4.
5.
Gruca, Thomas S., et al.. (2017). Determinants of the 5-Year Retention and Rural Location of Family Physicians: Results from the Iowa Family Medicine Training Network.. PubMed. 49(6). 473–476. 7 indexed citations
6.
Gruca, Thomas S., et al.. (2016). Improving Rural Access to Orthopaedic Care Through Visiting Consultant Clinics. Journal of Bone and Joint Surgery. 98(9). 768–774. 32 indexed citations
7.
Gruca, Thomas S., et al.. (2011). Do Electronic Markets Improve Forecasts of New Product Success?.
8.
Liberali, Guilherme, Thomas S. Gruca, & Walter Meucci Nique. (2011). The effects of sensitization and habituation in durable goods markets. European Journal of Operational Research. 212(2). 398–410. 4 indexed citations
9.
Jung, Sang-Uk, Thomas S. Gruca, & Lopo L. Rego. (2010). Excess Loyalty in CPG Markets: A Comprehensive Examination. 13(1). 17 indexed citations
10.
Gruca, Thomas S. & Lopo L. Rego. (2005). Customer Satisfaction, Cash Flow, and Shareholder Value. Journal of Marketing. 69(3). 115–130. 549 indexed citations breakdown →
11.
Gruca, Thomas S. & Douglas S. Wakefield. (2002). Hospital web sites. Journal of Business Research. 57(9). 1021–1025. 44 indexed citations
12.
Gruca, Thomas S. & Deepika Nath. (2001). The Technical Efficiency of Hospitals under a Single Payer System: The Case of Ontario Community Hospitals. Health Care Management Science. 4(2). 91–101. 36 indexed citations
13.
Gruca, Thomas S.. (2000). The IEM Movie Box Office Market: Integrating Marketing and Finance Using Electronic Markets. Journal of Marketing Education. 22(1). 5–14. 30 indexed citations
14.
Balakrishnan, Ramji, Thomas S. Gruca, & Deepika Nath. (1998). The Effect of Service Capability on Operating Costs: An Empirical Study of Ontario Hospitals. SSRN Electronic Journal. 2 indexed citations
15.
Gruca, Thomas S. & Devanathan Sudharshan. (1995). A Framework for Entry Deterrence Strategy: The Competitive Environment, Choices, and Consequences. Journal of Marketing. 59(3). 44–55. 58 indexed citations
16.
Gruca, Thomas S. & Deepika Nath. (1994). The Impact of Marketing on Hospital Performance. PubMed. 8(2). 87–112. 8 indexed citations
17.
Gruca, Thomas S., et al.. (1993). Health Care Clusters in Hospitals. PubMed. 7(2). 61–76. 2 indexed citations
18.
Gruca, Thomas S.. (1990). How Regular Is Regularity? An Empirical Test of the Regularity Assumption. ACR North American Advances. 1 indexed citations
19.
Gruca, Thomas S.. (1989). Determinants of Choice Set Size: an Alternative Method For Measuring Evoked Sets. ACR North American Advances. 15 indexed citations
20.
Gruca, Thomas S.. (1989). Optimal competitive marketing response to entry: Theoretical and empirical analyses. UMI Dissertation Information Service eBooks. 1 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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