Richard Gruss

737 total citations
29 papers, 510 citations indexed

About

Richard Gruss is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Richard Gruss has authored 29 papers receiving a total of 510 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 6 papers in Information Systems and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Richard Gruss's work include Sentiment Analysis and Opinion Mining (6 papers), Video Analysis and Summarization (5 papers) and Software Engineering Research (3 papers). Richard Gruss is often cited by papers focused on Sentiment Analysis and Opinion Mining (6 papers), Video Analysis and Summarization (5 papers) and Software Engineering Research (3 papers). Richard Gruss collaborates with scholars based in United States, Thailand and Mexico. Richard Gruss's co-authors include Alan S. Abrahams, Eojina Kim, Gary Marchionini, Barbara M. Wildemuth, Gary Geisler, David M. Goldberg, Laura Gruss, Daniel Schmitt, Johnathon P. Ehsani and Samee U. Khan and has published in prestigious journals such as Expert Systems with Applications, Journal of Medical Internet Research and Decision Support Systems.

In The Last Decade

Richard Gruss

27 papers receiving 495 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Richard Gruss United States 12 172 170 117 91 61 29 510
Fernando Batista Portugal 13 383 2.2× 136 0.8× 84 0.7× 35 0.4× 49 0.8× 94 604
Sukree Sinthupinyo Thailand 10 123 0.7× 82 0.5× 46 0.4× 37 0.4× 52 0.9× 57 323
Mohammed Jabreel Spain 10 161 0.9× 118 0.7× 55 0.5× 44 0.5× 45 0.7× 22 372
Masoud Mazloom Netherlands 11 137 0.8× 242 1.4× 34 0.3× 197 2.2× 130 2.1× 23 539
Omar Bencharef Morocco 10 131 0.8× 102 0.6× 77 0.7× 71 0.8× 34 0.6× 39 329
Hancheng Cao United States 13 121 0.7× 77 0.5× 79 0.7× 50 0.5× 49 0.8× 29 505
Alessia D’Andrea Italy 9 196 1.1× 103 0.6× 84 0.7× 29 0.3× 30 0.5× 39 398
Angelika Maag Australia 7 476 2.8× 96 0.6× 213 1.8× 57 0.6× 21 0.3× 22 795
Doron Cohen Israel 12 133 0.8× 66 0.4× 148 1.3× 39 0.4× 93 1.5× 24 527
Anil Chaturvedi United States 6 139 0.8× 35 0.2× 61 0.5× 55 0.6× 58 1.0× 9 335

Countries citing papers authored by Richard Gruss

Since Specialization
Citations

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

Fields of papers citing papers by Richard Gruss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard Gruss

This figure shows the co-authorship network connecting the top 25 collaborators of Richard Gruss. A scholar is included among the top collaborators of Richard Gruss 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 Richard Gruss. Richard Gruss 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.
Gruss, Richard, et al.. (2025). Bridging Communications: Online Food Delivery Drivers’ Voices in Shaping a New Work Paradigm. Journal of Hospitality & Tourism Research. 49(8). 1414–1431. 2 indexed citations
2.
Sands, Laura P., Alan S. Abrahams, David M. Goldberg, et al.. (2024). Defective Assistive Device Involvement in Older Adult Emergency Department Visits. Innovation in Aging. 8(1). igad138–igad138. 1 indexed citations
3.
Collier, Zachary A., Richard Gruss, & Alan S. Abrahams. (2024). How good are large language models at product risk assessment?. Risk Analysis. 45(4). 766–789. 9 indexed citations
4.
Abrahams, Alan S., Laura P. Sands, David M. Goldberg, et al.. (2023). Safety Concerns in Mobility-Assistive Products for Older Adults: Content Analysis of Online Reviews. Journal of Medical Internet Research. 25. e42231–e42231. 8 indexed citations
5.
Goldberg, David M., et al.. (2023). A semiautomated risk assessment method for consumer products. Risk Analysis. 44(3). 705–723. 3 indexed citations
6.
Sands, Laura P., Alan S. Abrahams, David M. Goldberg, et al.. (2022). Injury prevention for older adults: A dataset of safety concern narratives from online reviews of mobility-related products. Data in Brief. 42. 108044–108044. 3 indexed citations
7.
Goldberg, David M., Richard Gruss, & Alan S. Abrahams. (2022). Fumeus: A family of Python tools for text mining with smoke terms. Software Impacts. 12. 100270–100270. 5 indexed citations
8.
Ractham, Peter, et al.. (2021). A Comparative Evaluation of Airline Service Quality Using Online Content Analysis : A Case Study of Korean vs. International Airlines. Asia Pacific Journal of Information Systems. 31(4). 491–526. 2 indexed citations
9.
Gruss, Richard, Eojina Kim, & Alan S. Abrahams. (2019). Engaging Restaurant Customers on Facebook: The Power of Belongingness Appeals on Social Media. Journal of Hospitality & Tourism Research. 44(2). 201–228. 67 indexed citations
10.
Gruss, Richard, et al.. (2018). CAPTURING CUSTOMER ENGAGEMENT ON SOCIAL MEDIA: THE POWER OF SOCIAL COMMUNITIES’ ACTIVATION WORDS. Global Fashion Management Conference. 2018. 894–894. 1 indexed citations
11.
Baghersad, Milad, et al.. (2018). An investigation into online videos as a source of safety hazard reports. Journal of Safety Research. 65. 89–99. 10 indexed citations
12.
Gruss, Richard, et al.. (2018). Social media analytics for quality surveillance and safety hazard detection in baby cribs. Safety Science. 104. 260–268. 24 indexed citations
13.
Gruss, Richard, Alan S. Abrahams, Weiguo Fan, & G. Alan Wang. (2018). By the numbers: The magic of numerical intelligence in text analytic systems. Decision Support Systems. 113. 86–98. 17 indexed citations
14.
Gruss, Richard, et al.. (2017). Automated discovery of safety and efficacy concerns for joint & muscle pain relief treatments from online reviews. International Journal of Medical Informatics. 100. 108–120. 27 indexed citations
15.
Abrahams, Alan S., et al.. (2016). Toy safety surveillance from online reviews. Decision Support Systems. 90. 23–32. 51 indexed citations
16.
Gruss, Richard, et al.. (2015). Teaching big data through project-based learning in computational linguistics and information retrieval. Journal of computing sciences in colleges. 31(2). 260–270. 3 indexed citations
17.
Wildemuth, Barbara M., et al.. (2004). How fast is too fast? evaluating fast forward surrogates for digital video. 221–230. 31 indexed citations
18.
Wildemuth, Barbara M., et al.. (2003). Access via Features versus Access via Transcripts: User Performance and Satisfaction 1. TRECVID. 7 indexed citations
19.
Wildemuth, Barbara M., et al.. (2003). How fast is too fast? evaluating fast forward surrogates for digital video. 221–230. 64 indexed citations
20.
Wildemuth, Barbara M., et al.. (2003). Measuring user performance during interactions with digital video collections. Proceedings of the American Society for Information Science and Technology. 40(1). 3–12. 7 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Fernando Batista Breakdown of academic impact, for papers by Sukree Sinthupinyo Breakdown of academic impact, for papers by Mohammed Jabreel Breakdown of academic impact, for papers by Masoud Mazloom Breakdown of academic impact, for papers by Omar Bencharef Breakdown of academic impact, for papers by Hancheng Cao Breakdown of academic impact, for papers by Alessia D’Andrea Breakdown of academic impact, for papers by Angelika Maag Breakdown of academic impact, for papers by Doron Cohen Breakdown of academic impact, for papers by Anil Chaturvedi
Rankless by CCL
2026