Soumya Ray

12.6k total citations · 4 hit papers
30 papers, 6.6k citations indexed

About

Soumya Ray is a scholar working on Sociology and Political Science, Information Systems and Management and Management Information Systems. According to data from OpenAlex, Soumya Ray has authored 30 papers receiving a total of 6.6k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Sociology and Political Science, 10 papers in Information Systems and Management and 4 papers in Management Information Systems. Recurrent topics in Soumya Ray's work include Technology Adoption and User Behaviour (10 papers), Digital Marketing and Social Media (8 papers) and Impact of Technology on Adolescents (4 papers). Soumya Ray is often cited by papers focused on Technology Adoption and User Behaviour (10 papers), Digital Marketing and Social Media (8 papers) and Impact of Technology on Adolescents (4 papers). Soumya Ray collaborates with scholars based in Taiwan, United States and Ireland. Soumya Ray's co-authors include Nicholas P. Danks, Marko Sarstedt, Joseph F. Hair, Christian M. Ringle, G. Tomas M. Hult, Galit Shmueli, Suneel Babu Chatla, Sung S. Kim, Pei‐Fang Hsu and James Morris and has published in prestigious journals such as Management Science, Journal of Business Research and Computers in Human Behavior.

In The Last Decade

Soumya Ray

30 papers receiving 6.3k citations

Hit Papers

Partial Least Squares Str... 2014 2026 2018 2022 2021 2016 2014 2020 1000 2.0k 3.0k 4.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Soumya Ray Taiwan 17 2.0k 1.6k 1.5k 1.1k 1.0k 30 6.6k
Geoffrey S. Hubona United States 18 2.4k 1.2× 2.2k 1.4× 1.7k 1.1× 1.2k 1.2× 1.3k 1.3× 37 6.9k
Christian Nitzl Germany 14 1.9k 0.9× 1.2k 0.7× 1.8k 1.2× 1.5k 1.4× 1.6k 1.6× 35 6.8k
Jan-Michael Becker Germany 17 1.9k 0.9× 1.1k 0.7× 1.7k 1.2× 1.5k 1.4× 1.4k 1.4× 27 6.1k
Theo K. Dijkstra Netherlands 21 1.9k 0.9× 1.3k 0.8× 1.6k 1.1× 1.4k 1.3× 1.5k 1.5× 39 6.8k
Lucy M. Matthews United States 14 1.6k 0.8× 884 0.6× 1.3k 0.9× 1.0k 1.0× 1.2k 1.2× 34 5.1k
Hiram Ting Malaysia 38 3.1k 1.6× 1.5k 1.0× 2.6k 1.7× 1.4k 1.3× 2.0k 2.0× 137 8.6k
Jeannette A. Mena United States 14 2.1k 1.1× 1.4k 0.9× 2.3k 1.5× 2.0k 1.9× 1.7k 1.7× 17 7.3k
Matt C. Howard United States 29 1.7k 0.9× 850 0.5× 1.2k 0.8× 884 0.8× 1.2k 1.2× 89 7.4k
Volker G. Kuppelwieser France 22 2.8k 1.4× 1.7k 1.1× 2.9k 1.9× 1.8k 1.7× 2.3k 2.2× 60 9.2k
Vincenzo Esposito Vinzi France 19 2.6k 1.3× 1.7k 1.0× 2.2k 1.5× 2.2k 2.0× 2.0k 2.0× 34 9.6k

Countries citing papers authored by Soumya Ray

Since Specialization
Citations

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

Fields of papers citing papers by Soumya Ray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Soumya Ray

This figure shows the co-authorship network connecting the top 25 collaborators of Soumya Ray. A scholar is included among the top collaborators of Soumya Ray 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 Soumya Ray. Soumya Ray 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.
Schwartz, David G., et al.. (2024). Apps don't work for patients who don't use them: Towards frameworks for digital therapeutics adherence. Health Policy and Technology. 13(2). 100848–100848. 8 indexed citations
2.
Valdez, André Calero, et al.. (2023). Structural Equation Modeling in HCI Research using SEMinR. 1–3. 2 indexed citations
3.
Shmueli, Galit, et al.. (2023). Taking the Person Seriously: Ethically Aware IS Research in the Era of Reinforcement Learning-Based Personalization. Journal of the Association for Information Systems. 24(6). 1527–1561. 8 indexed citations
4.
5.
Ray, Soumya, et al.. (2021). Beyond Fair Pay: Ethical Implications of NLP Crowdsourcing. 3758–3769. 35 indexed citations
6.
Ray, Soumya, et al.. (2021). SEMinR: Domain-Specific Language for Building, Estimating, and Visualizing Structural Equation Models in R. SSRN Electronic Journal. 40 indexed citations
7.
Hair, Joseph F., G. Tomas M. Hult, Christian M. Ringle, et al.. (2021). Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R. Trinity's Access to Research Output (TARA) (Trinity College Dublin). 4026 indexed citations breakdown →
8.
Ray, Soumya, et al.. (2020). Domain-Specific Language for Building and Estimating Structural Equation Models [R package seminr version 1.1.0]. 2 indexed citations
9.
Shiau, Wen‐Lung, Ye Yuan, Xiaodie Pu, Soumya Ray, & Charlie C. Chen. (2020). Understanding fintech continuance: perspectives from self-efficacy and ECT-IS theories. Industrial Management & Data Systems. 120(9). 1659–1689. 233 indexed citations breakdown →
10.
Shmueli, Galit, et al.. (2019). Adjusting to the GDPR: The Impact on Data Scientists and Behavioral Researchers. Big Data. 7(3). 140–162. 21 indexed citations
11.
Danks, Nicholas P., Soumya Ray, & Galit Shmueli. (2019). Predictive Analysis and Out-of-Sample Generalizability of Construct-based Models. Journal of the Association for Information Systems. 2 indexed citations
12.
Sharma, Pratyush Nidhi, Galit Shmueli, Marko Sarstedt, Nicholas P. Danks, & Soumya Ray. (2018). Prediction‐Oriented Model Selection in Partial Least Squares Path Modeling. Decision Sciences. 52(3). 567–607. 191 indexed citations
13.
Ray, Soumya, et al.. (2017). What Leads to Prosocial Behaviors on Social Networking Services: A Tripartite Model. Journal of Management Information Systems. 34(1). 40–70. 54 indexed citations
14.
Shmueli, Galit, et al.. (2016). The elephant in the room: Predictive performance of PLS models. Journal of Business Research. 69(10). 4552–4564. 1086 indexed citations breakdown →
15.
Ray, Soumya, Sung S. Kim, & James Morris. (2014). The Central Role of Engagement in Online Communities. Information Systems Research. 25(3). 528–546. 219 indexed citations
16.
Hsu, Pei‐Fang, et al.. (2014). Examining cloud computing adoption intention, pricing mechanism, and deployment model. International Journal of Information Management. 34(4). 474–488. 325 indexed citations breakdown →
17.
Ray, Soumya & DongBack Seo. (2013). The interplay of conscious and automatic mechanisms in the context of routine use: An integrative and comparative study of contrasting mechanisms. Information & Management. 50(7). 523–539. 18 indexed citations
18.
Ray, Soumya, Sung S. Kim, & James Morris. (2011). Research Note—Online Users' Switching Costs: Their Nature and Formation. Information Systems Research. 23(1). 197–213. 72 indexed citations
19.
Ray, Soumya, et al.. (1989). BEHAVIOURAL ASSESSMENT OF SPEED DISCRIMINATION AT TRAFFIC SIGNALS. 2 indexed citations
20.
Ray, Soumya, et al.. (1986). Automatic close following warning sign: further trials. 3 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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