María D. Molina

1.6k total citations · 1 hit paper
23 papers, 979 citations indexed

About

María D. Molina is a scholar working on Sociology and Political Science, Artificial Intelligence and Social Psychology. According to data from OpenAlex, María D. Molina has authored 23 papers receiving a total of 979 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Sociology and Political Science, 9 papers in Artificial Intelligence and 8 papers in Social Psychology. Recurrent topics in María D. Molina's work include Misinformation and Its Impacts (7 papers), Hate Speech and Cyberbullying Detection (6 papers) and Social Media and Politics (4 papers). María D. Molina is often cited by papers focused on Misinformation and Its Impacts (7 papers), Hate Speech and Cyberbullying Detection (6 papers) and Social Media and Politics (4 papers). María D. Molina collaborates with scholars based in United States, Ecuador and Spain. María D. Molina's co-authors include S. Shyam Sundar, Thai Le, Dongwon Lee, Eugene Cho, Minjin Rheu, Wei Peng, Ivan B. Dylko, Igor Dolgov, William Hoffman and Jessica Gall Myrick and has published in prestigious journals such as Computers in Human Behavior, New Media & Society and Communication Research.

In The Last Decade

María D. Molina

23 papers receiving 937 citations

Hit Papers

align trajectories

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.

“Fake News” Is Not Simply False Information: A Concept Explication and Taxonomy of Online Content

2019 270 citations María D. Molina, S. Shyam Sundar et al. American Behavioral Scientist profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
María D. Molina United States	15	645	311	242	128	127	23	979
Andrew McStay United Kingdom	13	602 0.9×	262 0.8×	288 1.2×	180 1.4×	136 1.1×	42	1.1k
Eun Go United States	13	584 0.9×	571 1.8×	158 0.7×	76 0.6×	62 0.5×	16	1.1k
Mario Haim Germany	15	564 0.9×	197 0.6×	439 1.8×	97 0.8×	77 0.6×	47	977
Tawfiq Ammari United States	15	505 0.8×	264 0.8×	263 1.1×	60 0.5×	109 0.9×	26	1.1k
Lemi Baruh Türkiye	14	719 1.1×	141 0.5×	273 1.1×	54 0.4×	100 0.8×	44	974
Joseph Seering United States	16	582 0.9×	525 1.7×	403 1.7×	42 0.3×	133 1.0×	31	1.2k
Tanushree Mitra United States	18	677 1.0×	441 1.4×	232 1.0×	45 0.4×	278 2.2×	40	1.1k
Haiyan Jia United States	11	439 0.7×	165 0.5×	120 0.5×	45 0.4×	54 0.4×	29	741
Stine Lomborg Denmark	17	513 0.8×	82 0.3×	327 1.4×	111 0.9×	88 0.7×	48	1.1k
Ronald E. Robertson United States	16	775 1.2×	323 1.0×	423 1.7×	133 1.0×	184 1.4×	31	1.2k

Countries citing papers authored by María D. Molina

Since Specialization

Citations

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

Fields of papers citing papers by María D. Molina

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by María D. Molina. 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 María D. Molina. The network helps show where María D. Molina may publish in the future.

Co-authorship network of co-authors of María D. Molina

This figure shows the co-authorship network connecting the top 25 collaborators of María D. Molina. A scholar is included among the top collaborators of María D. Molina 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 María D. Molina. María D. Molina is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Baixauli, Inmaculada, María D. Molina, & Carmen Berenguer. (2024). Occupational stress, burnout, and job satisfaction amongst Spanish speech-language pathologists. International Journal of Speech-Language Pathology. 27(4). 525–538. 2 indexed citations

Molina, María D., et al.. (2023). What is There to Fear? Understanding Multi-Dimensional Fear of AI from a Technological Affordance Perspective. International Journal of Human-Computer Interaction. 40(22). 7127–7144. 46 indexed citations

Molina, María D.. (2023). Effects of Technology Use on Self-Reported Physical Activity: A Behavioral Change Perspective. Health Communication. 39(4). 729–740. 1 indexed citations

Molina, María D.. (2023). Do people believe in misleading information disseminated via memes? The role of identity and anger. New Media & Society. 27(2). 847–870. 4 indexed citations

Molina, María D., et al.. (2023). One AI Does Not Fit All: A Cluster Analysis of the Laypeople’s Perception of AI Roles. 1–20. 30 indexed citations

Molina, María D., et al.. (2023). Motivation to Use Fitness Application for Improving Physical Activity Among Hispanic Users: The Pivotal Role of Interactivity and Relatedness. 1–13. 8 indexed citations

Molina, María D. & S. Shyam Sundar. (2022). Does distrust in humans predict greater trust in AI? Role of individual differences in user responses to content moderation. New Media & Society. 26(6). 3638–3656. 56 indexed citations

Molina, María D. & S. Shyam Sundar. (2022). When AI moderates online content: effects of human collaboration and interactive transparency on user trust. Journal of Computer-Mediated Communication. 27(4). 65 indexed citations

Molina, María D., et al.. (2022). Reading, Commenting and Sharing of Fake News: How Online Bandwagons and Bots Dictate User Engagement. Communication Research. 50(6). 667–694. 19 indexed citations

10.

Molina, María D., et al.. (2022). Motivating Learning Through Digital Apps: The Importance of Relatedness Satisfaction. International Journal of Human-Computer Interaction. 41(1). 1–15. 9 indexed citations

11.

Molina, María D., et al.. (2021). Does Clickbait Actually Attract More Clicks? Three Clickbait Studies You Must Read. ScholarSphere (Penn State Libraries). 1–19. 17 indexed citations

12.

Sundar, S. Shyam, María D. Molina, & Eugene Cho. (2021). Seeing Is Believing: Is Video Modality More Powerful in Spreading Fake News via Online Messaging Apps?. Journal of Computer-Mediated Communication. 26(6). 301–319. 103 indexed citations

13.

Sundar, S. Shyam, Jinyoung Kim, Mary Beth Rosson, & María D. Molina. (2020). Online Privacy Heuristics that Predict Information Disclosure. 1–12. 39 indexed citations

14.

Molina, María D. & Jessica Gall Myrick. (2020). The ‘how’ and ‘why’ of fitness app use: investigating user motivations to gain insights into the nexus of technology and fitness. Sport in Society. 24(7). 1233–1248. 31 indexed citations

15.

Cho, Eugene, et al.. (2019). The Effects of Modality, Device, and Task Differences on Perceived Human Likeness of Voice-Activated Virtual Assistants. Cyberpsychology Behavior and Social Networking. 22(8). 515–520. 52 indexed citations

16.

Molina, María D., Andrew Gambino, & S. Shyam Sundar. (2019). Online Privacy in Public Places. 1–6. 3 indexed citations

17.

Molina, María D., S. Shyam Sundar, Thai Le, & Dongwon Lee. (2019). “Fake News” Is Not Simply False Information: A Concept Explication and Taxonomy of Online Content. American Behavioral Scientist. 65(2). 180–212. 270 indexed citations breakdown →

18.

Le, Thai, Kai Shu, María D. Molina, et al.. (2019). 5 sources of clickbaits you should know!. 33–40. 4 indexed citations

19.

Molina, María D. & S. Shyam Sundar. (2018). Can Mobile Apps Motivate Fitness Tracking? A Study of Technological Affordances and Workout Behaviors. Health Communication. 35(1). 65–74. 45 indexed citations

20.

Dylko, Ivan B., et al.. (2017). The dark side of technology: An experimental investigation of the influence of customizability technology on online political selective exposure. Computers in Human Behavior. 73. 181–190. 79 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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