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D-Index & Metrics

Business and Management

D-Index
57
Citations
14528
World Ranking
653
National Ranking
286

Victor R. Prybutok publication distribution in Business and Management in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Business and Management in 2026. The highlighted bar marks where Victor R. Prybutok sits on this spectrum.

35–39 publications: 2 scientists 40–44 publications: 2 scientists 45–49 publications: 5 scientists 50–54 publications: 20 scientists 55–59 publications: 39 scientists 60–64 publications: 66 scientists 65–69 publications: 52 scientists 70–74 publications: 80 scientists 75–79 publications: 83 scientists 80–84 publications: 115 scientists 85–89 publications: 94 scientists 90–94 publications: 111 scientists 95–99 publications: 122 scientists 100–104 publications: 104 scientists 105–109 publications: 113 scientists 110–114 publications: 96 scientists 115–119 publications: 97 scientists 120–124 publications: 112 scientists 125–129 publications: 93 scientists 130–134 publications: 79 scientists 135–139 publications: 69 scientists 140–144 publications: 80 scientists 145–149 publications: 81 scientists 150–154 publications: 85 scientists 155–159 publications: 50 scientists 160–164 publications: 74 scientists 165–169 publications: 61 scientists 170–174 publications: 40 scientists 175–179 publications: 44 scientists 180–184 publications: 47 scientists 185–189 publications: 59 scientists 190–194 publications: 35 scientists 195–199 publications: 37 scientists 200–204 publications: 49 scientists 205–209 publications: 48 scientists 210–214 publications: 34 scientists 215–219 publications: 31 scientists 220–224 publications: 37 scientists 225–229 publications: 34 scientists 230–234 publications: 25 scientists 235–239 publications: 28 scientists 240–244 publications: 34 scientists 245–249 publications: 28 scientists 250–254 publications: 23 scientists 255–259 publications: 22 scientists 260–264 publications: 11 scientists 265–269 publications: 16 scientists 270–274 publications: 23 scientists 275–279 publications: 12 scientists 280–284 publications: 16 scientists 285–289 publications: 10 scientists 290–294 publications: 12 scientists 295–299 publications: 12 scientists 300–304 publications: 8 scientists 305–309 publications: 13 scientists 310–314 publications: 13 scientists 315–319 publications: 6 scientists 320–324 publications: 10 scientists 325–329 publications: 9 scientists 330–334 publications: 7 scientists 335–339 publications: 10 scientists 340–344 publications: 10 scientists 345–349 publications: 7 scientists 350–354 publications: 4 scientists 355–359 publications: 10 scientists 360–364 publications: 3 scientists 365–369 publications: 7 scientists 370–374 publications: 2 scientists 375–379 publications: 8 scientists 380–384 publications: 4 scientists 385–389 publications: 5 scientists 390–394 publications: 5 scientists 395–399 publications: 2 scientists 400–404 publications: 2 scientists 405–409 publications: 4 scientists 410–414 publications: 3 scientists 415–419 publications: 2 scientists 420–424 publications: 5 scientists 425–429 publications: 3 scientists 430–434 publications: 1 scientists 435 publications: 1 scientists 436+ publications: 100 scientists
35 publications 436+

This scientist: 280 publications — 90th percentile

90% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 436 publications or more.

Victor R. Prybutok D-index placement in Business and Management in 2026

The chart shows the D-index (discipline H-index) distribution of Business and Management scientists ranked by Research.com in 2026. The highlighted bar marks where Victor R. Prybutok sits on this spectrum.

30 D-Index: 156 scientists 31 D-Index: 159 scientists 32 D-Index: 171 scientists 33 D-Index: 161 scientists 34 D-Index: 135 scientists 35 D-Index: 124 scientists 36 D-Index: 114 scientists 37 D-Index: 111 scientists 38 D-Index: 103 scientists 39 D-Index: 89 scientists 40 D-Index: 81 scientists 41 D-Index: 97 scientists 42 D-Index: 80 scientists 43 D-Index: 69 scientists 44 D-Index: 67 scientists 45 D-Index: 63 scientists 46 D-Index: 54 scientists 47 D-Index: 69 scientists 48 D-Index: 50 scientists 49 D-Index: 58 scientists 50 D-Index: 54 scientists 51 D-Index: 62 scientists 52 D-Index: 54 scientists 53 D-Index: 43 scientists 54 D-Index: 49 scientists 55 D-Index: 35 scientists 56 D-Index: 40 scientists 57 D-Index: 44 scientists 58 D-Index: 34 scientists 59 D-Index: 29 scientists 60 D-Index: 48 scientists 61 D-Index: 32 scientists 62 D-Index: 30 scientists 63 D-Index: 22 scientists 64 D-Index: 22 scientists 65 D-Index: 19 scientists 66 D-Index: 20 scientists 67 D-Index: 18 scientists 68 D-Index: 17 scientists 69 D-Index: 21 scientists 70 D-Index: 20 scientists 71 D-Index: 19 scientists 72 D-Index: 14 scientists 73 D-Index: 10 scientists 74 D-Index: 16 scientists 75 D-Index: 24 scientists 76 D-Index: 13 scientists 77 D-Index: 19 scientists 78 D-Index: 8 scientists 79 D-Index: 6 scientists 80 D-Index: 4 scientists 81 D-Index: 12 scientists 82 D-Index: 7 scientists 83 D-Index: 7 scientists 84 D-Index: 6 scientists 85 D-Index: 10 scientists 86 D-Index: 4 scientists 87 D-Index: 11 scientists 88 D-Index: 6 scientists 89+ D-Index: 96 scientists
30 D-Index 89+

This scientist: 57 D-Index — 79th percentile

79% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 89 D-Index or more.

Overview

Victor R. Prybutok is affiliated with the University of North Texas in the United States. Their research spans multiple disciplines within the social sciences and business management fields, focusing extensively on areas related to technology adoption, digital marketing, and consumer behavior.

The scholar's main fields of study include Business, Management and Accounting, and Social Sciences. Within these broad fields, their work frequently addresses several subfields:

  • Sociology and Political Science
  • Information Systems and Management
  • Organizational Behavior and Human Resource Management
  • Marketing
  • Management Information Systems

Victor R. Prybutok's research topics cover a range of subjects, highlighting specific interest areas such as:

  • Technology Adoption and User Behaviour
  • Digital Marketing and Social Media
  • Customer Service Quality and Loyalty
  • Consumer Retail Behavior Studies
  • Technology Use by Older Adults
  • Health disparities and outcomes
  • Blockchain Technology Applications and Security

Key venues for Victor R. Prybutok's publications include:

  • Quality Management Journal
  • Healthcare
  • SSRN Electronic Journal
  • Journal of Business and Industrial Marketing
  • Industrial Management & Data Systems

Selected recent publications by Victor R. Prybutok include:

  • "Balancing Privacy and Progress: A Review of Privacy Challenges, Systemic Oversight, and Patient Perceptions in AI-Driven Healthcare," 2024, Applied Sciences
  • "The use of digital technology for social wellbeing reduces social isolation in older adults: A systematic review," 2021, SSM - Population Health
  • "A virtual market in your pocket: How does mobile augmented reality (MAR) influence consumer decision making?," 2020, Journal of Retailing and Consumer Services
  • "A green experience with eco-friendly cars: A young consumer electric vehicle rental behavioral model," 2021, Journal of Retailing and Consumer Services
  • "Drones in last-mile delivery: A systematic review on Efficiency, Accessibility, and Sustainability," 2023, Transportation Research Part D Transport and Environment

Frequent collaborators in Victor R. Prybutok's body of work include:

  • Gayle Prybutok
  • Xianghui Peng
  • Daniel A. Peak
  • William Senn
  • Xinyu Wei

Best Publications

  • Measuring information systems service quality: concerns on the use of the SERVQUAL questionnaire

    Thomas P. Van Dyke;Leon A. Kappelman;Victor R. Prybutok

  • A Comprehensive Model for Assessing the Quality and Productivity of the Information Systems Function: Toward a Theory for Information Systems Assessment

    Barry L. Myers;Leon A. Kappelman;Victor R. Prybutok

  • Information technology capability and firm performance: contradictory findings and their possible causes

    Ho-Chang Chae;Chang E. Koh;Victor R. Prybutok

  • It is not for fun: An examination of social network site usage

    Chenyan Xu;Sherry Ryan;Victor Prybutok;Chao Wen

  • An Integrated Model for Customer Online Repurchase Intention

    Chao Wen;Victor R. Prybutok;Chenyan Xu

  • A consumer perspective of E-service quality

    Xiaoni Zhang;V.R. Prybutok

  • Cautions on the Use of the SERVQUAL Measure to Assess the Quality of Information Systems Services

    Thomas P. Van Dyke;Victor R. Prybutok;Leon A. Kappelman

  • A customer value, satisfaction, and loyalty perspective of mobile application recommendations

    Chenyan Xu;Daniel Peak;Victor Prybutok

  • A service quality and success model for the information service industry

    Hollis Landrum;Victor R. Prybutok

  • Service quality, customer satisfaction, and behavioral intentions in fast‐food restaurants

    Hong Qin;Victor R. Prybutok

  • Latent Semantic Analysis: five methodological recommendations

    Nicholas E. Evangelopoulos;Xiaoni Zhang;Victor R. Prybutok

  • A neural network model forecasting for prediction of daily maximum ozone concentration in an industrialized urban area.

    Junsub Yi;Victor R. Prybutok

  • Consumer Acceptance of RFID Technology: An Exploratory Study

    M.M. Hossain;V.R. Prybutok

  • Determinants of Customer-Perceived Service Quality in Fast-Food Restaurants and Their Relationship to Customer Satisfaction and Behavioral Intentions

    Hon G Qin;Victor R. Prybutok

  • Modeling Influences on Impulse Purchasing Behaviors During Online Marketing Transactions

    Xiaoni Zhang;Victor R. Prybutok;David Strutton

  • The relationship between JIT practices and type of production system

    Richard E White;Victor Prybutok

  • Evaluating leadership, IT quality, and net benefits in an e-government environment

    Victor R. Prybutok;Xiaoni Zhang;Sherry D. Ryan

  • Investigating factors affecting social presence and user satisfaction with Mobile Instant Messaging

    Solomon O. Ogara;Chang E. Koh;Victor R. Prybutok

  • Comparison of neural network models with ARIMA and regression models for prediction of Houston's daily maximum ozone concentrations

    Victor R. Prybutok;Junsub Yi;David Mitchell

  • Perceived service quality in fast‐food restaurants: empirical evidence from China

    Hong Qin;Victor R. Prybutok;Qilan Zhao

Frequent Co-Authors

Charles Blankson
Charles Blankson University of North Texas
Thomas D. Parsons
Thomas D. Parsons University of North Texas
Audhesh K. Paswan
Audhesh K. Paswan University of North Texas

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