Chad Edwards

2.9k total citations
67 papers, 2.0k citations indexed

About

Chad Edwards is a scholar working on Social Psychology, Artificial Intelligence and Sociology and Political Science. According to data from OpenAlex, Chad Edwards has authored 67 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Social Psychology, 26 papers in Artificial Intelligence and 20 papers in Sociology and Political Science. Recurrent topics in Chad Edwards's work include AI in Service Interactions (26 papers), Communication in Education and Healthcare (25 papers) and Social Robot Interaction and HRI (18 papers). Chad Edwards is often cited by papers focused on AI in Service Interactions (26 papers), Communication in Education and Healthcare (25 papers) and Social Robot Interaction and HRI (18 papers). Chad Edwards collaborates with scholars based in United States, Italy and Ireland. Chad Edwards's co-authors include Autumn Edwards, Patric R. Spence, David Westerman, Xialing Lin, Ashleigh K. Shelton, Brett Stoll, Scott A. Myers, Andrew Gambino, Kenneth A. Lachlan and Matthew M. Martin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computers in Human Behavior and Journal of Computer-Mediated Communication.

In The Last Decade

Chad Edwards

64 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chad Edwards United States 24 942 842 755 301 249 67 2.0k
Autumn Edwards United States 23 855 0.9× 859 1.0× 761 1.0× 299 1.0× 191 0.8× 76 2.0k
Kwan Min Lee United States 24 766 0.8× 523 0.6× 886 1.2× 258 0.9× 205 0.8× 43 2.4k
Ellen R. Tauber United States 6 838 0.9× 806 1.0× 732 1.0× 205 0.7× 41 0.2× 8 2.1k
Leopoldina Fortunati Italy 22 324 0.3× 217 0.3× 984 1.3× 603 2.0× 175 0.7× 117 2.1k
Joseph A. Bonito United States 17 786 0.8× 183 0.2× 664 0.9× 391 1.3× 93 0.4× 52 1.6k
Amy L. Baylor United States 29 597 0.6× 884 1.0× 378 0.5× 72 0.2× 1.0k 4.2× 74 2.9k
René F. Kizilcec United States 27 364 0.4× 783 0.9× 449 0.6× 160 0.5× 1.8k 7.1× 92 4.3k
Kun Xu United States 17 339 0.4× 593 0.7× 408 0.5× 69 0.2× 52 0.2× 52 1.3k
Guo Freeman United States 27 538 0.6× 278 0.3× 714 0.9× 93 0.3× 68 0.3× 88 2.1k
Katharina Reinecke United States 24 239 0.3× 308 0.4× 462 0.6× 144 0.5× 186 0.7× 81 2.1k

Countries citing papers authored by Chad Edwards

Since Specialization
Citations

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

Fields of papers citing papers by Chad Edwards

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chad Edwards

This figure shows the co-authorship network connecting the top 25 collaborators of Chad Edwards. A scholar is included among the top collaborators of Chad Edwards 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 Chad Edwards. Chad Edwards 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.
Lin, Xialing, et al.. (2025). AI and human generation of classroom content: adult learners’ perceptions. Communication Education. 74(2). 168–181.
2.
Fortunati, Leopoldina, Autumn Edwards, & Chad Edwards. (2024). The Perturbing Mediatization of Voice-based Virtual Assistants: The Case of Alexa. SHILAP Revista de lepidopterología. 7. 99–119. 1 indexed citations
3.
Edwards, Autumn, Chad Edwards, Leopoldina Fortunati, Anna Maria Manganelli, & Federico de Luca. (2024). Mass robotics: How do people communicate with, use, and feel about Alexa? A cross-cultural, user perspective. ARCA (Università Ca' Foscari Venezia). 2(1). 100060–100060. 2 indexed citations
4.
Lin, Xialing, et al.. (2024). Credibility and altered communication styles of AI graders in the classroom. Journal of Computer Assisted Learning. 40(4). 1766–1776. 4 indexed citations
5.
Edwards, Autumn, Andrew Gambino, & Chad Edwards. (2022). Factors of attraction in human-machine communication. Publizistik. 67(4). 517–529. 6 indexed citations
6.
Fortunati, Leopoldina, Autumn Edwards, Anna Maria Manganelli, Chad Edwards, & Federico de Luca. (2022). Do People Perceive Alexa as Gendered? A Cross-Cultural Study of People’s Perceptions, Expectations, and Desires of Alexa. SHILAP Revista de lepidopterología. 5. 75–97. 4 indexed citations
7.
Fortunati, Leopoldina, Autumn Edwards, Chad Edwards, Anna Maria Manganelli, & Federico de Luca. (2022). Is Alexa female, male, or neutral? A cross-national and cross-gender comparison of perceptions of Alexa's gender and status as a communicator. Computers in Human Behavior. 137. 107426–107426. 20 indexed citations
8.
Edwards, Autumn, et al.. (2021). A Robot, Meteorologist, and Amateur Forecaster Walk into A Bar: Examining Qualitative Responses to A Weather Forecast Delivered via Social Robot. Communication Studies. 72(6). 1129–1145. 4 indexed citations
9.
Craig, Matthew & Chad Edwards. (2021). Feeling for Our Robot Overlords: Perceptions of Emotionally Expressive Social Robots in Initial Interactions. Communication Studies. 72(2). 251–265. 11 indexed citations
10.
Edwards, Chad, et al.. (2021). Human-Robot Teaming Configurations: A Study of Interpersonal Communication Perceptions and Affective Learning in Higher Education. SHILAP Revista de lepidopterología. 4. 123–132. 5 indexed citations
11.
12.
Edwards, Chad, et al.. (2021). The influence of agent and message type on perceptions of social support in human-machine communication. Communication Research Reports. 38(5). 304–314. 12 indexed citations
13.
McBride, M. Chad & Chad Edwards. (2020). Presidential Spotlight: Dialoguing the Possible — Creating a Public Record of CSCA Challenges, Lessons Learned, and Envisioning the Future. SHILAP Revista de lepidopterología. 3. 145–151. 1 indexed citations
14.
Edwards, Chad, et al.. (2020). Interpersonal impressions of a social robot versus human in the context of performance evaluations. Communication Education. 70(2). 165–182. 29 indexed citations
15.
Westerman, David, et al.. (2020). I-It, I-Thou, I-Robot: The Perceived Humanness of AI in Human-Machine Communication. Communication Studies. 71(3). 393–408. 66 indexed citations
16.
Edwards, Autumn, et al.. (2020). A Bot and a Smile: Interpersonal Impressions of Chatbots and Humans Using Emoji in Computer-mediated Communication. Communication Studies. 71(3). 409–427. 111 indexed citations
17.
Edwards, Autumn, Chad Edwards, & Andrew Gambino. (2019). The Social Pragmatics of Communication with Social Robots: Effects of Robot Message Design Logic in a Regulative Context. International Journal of Social Robotics. 12(4). 945–957. 20 indexed citations
18.
Edwards, Chad, Autumn Edwards, Jihyun Kim, et al.. (2019). Human-Machine Communication: What Does/Could Communication Science Contribute to HRI?. 673–674. 3 indexed citations
19.
Spence, Patric R., et al.. (2018). ‘The bot predicted rain, grab an umbrella’: few perceived differences in communication quality of a weather Twitterbot versus professional and amateur meteorologists. Behaviour and Information Technology. 38(1). 101–109. 20 indexed citations
20.
Edwards, Chad, et al.. (2007). An Analysis of a Stochastic Urban Propagation Model Using Ray Tracing Generated Results. 1–7. 2 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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