Daniel J. Tamul

637 total citations
13 papers, 457 citations indexed

About

Daniel J. Tamul is a scholar working on Literature and Literary Theory, Sociology and Political Science and Communication. According to data from OpenAlex, Daniel J. Tamul has authored 13 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Literature and Literary Theory, 6 papers in Sociology and Political Science and 4 papers in Communication. Recurrent topics in Daniel J. Tamul's work include Media Influence and Health (7 papers), Misinformation and Its Impacts (3 papers) and Social Media and Politics (2 papers). Daniel J. Tamul is often cited by papers focused on Media Influence and Health (7 papers), Misinformation and Its Impacts (3 papers) and Social Media and Politics (2 papers). Daniel J. Tamul collaborates with scholars based in United States, Germany and South Korea. Daniel J. Tamul's co-authors include S. Shyam Sundar, Mary Beth Oliver, Mu Wu, James Price Dillard, T. Franklin Waddell, Malte Elson, James Ivory, Andrew K Przybylski, Katherine Haenschen and Anthony M. Limperos and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computers in Human Behavior and International Journal of Human-Computer Studies.

In The Last Decade

Daniel J. Tamul

13 papers receiving 441 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel J. Tamul United States 8 224 172 125 95 79 13 457
Qingwen Dong United States 7 222 1.0× 172 1.0× 161 1.3× 60 0.6× 136 1.7× 12 513
Bridget Rubenking United States 14 301 1.3× 227 1.3× 52 0.4× 76 0.8× 75 0.9× 24 512
Ronald A. Yaros United States 8 311 1.4× 149 0.9× 60 0.5× 191 2.0× 28 0.4× 13 481
Shaojung Sharon Wang Taiwan 10 367 1.6× 46 0.3× 130 1.0× 73 0.8× 56 0.7× 17 496
Mun‐Young Chung United States 7 236 1.1× 158 0.9× 49 0.4× 30 0.3× 95 1.2× 15 431
Guo Freeman United States 9 428 1.9× 47 0.3× 58 0.5× 47 0.5× 52 0.7× 14 534
Lewen Wei United States 10 207 0.9× 58 0.3× 82 0.7× 45 0.5× 64 0.8× 28 360
Tao Deng United States 8 310 1.4× 39 0.2× 48 0.4× 129 1.4× 24 0.3× 20 464
Jacob D. Teeny United States 10 284 1.3× 72 0.4× 38 0.3× 152 1.6× 112 1.4× 16 522
Gunwoo Yoon United States 7 243 1.1× 83 0.5× 22 0.2× 110 1.2× 50 0.6× 17 360

Countries citing papers authored by Daniel J. Tamul

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Tamul

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. Tamul. 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 Daniel J. Tamul. The network helps show where Daniel J. Tamul may publish in the future.

Co-authorship network of co-authors of Daniel J. Tamul

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

All Works

13 of 13 papers shown
1.
Haenschen, Katherine, Daniel J. Tamul, & Jessica R. Collier. (2021). Font Matters: Understanding Typeface Selection by Political Campaigns. SHILAP Revista de lepidopterología. 15. 21. 5 indexed citations
2.
Haenschen, Katherine & Daniel J. Tamul. (2019). What’s in a Font?: Ideological Perceptions of Typography. Communication Studies. 71(2). 244–261. 12 indexed citations
3.
Tamul, Daniel J., et al.. (2019). All the President’s Tweets: Effects of Exposure to Trump’s “Fake News” Accusations on Perceptions of Journalists, News Stories, and Issue Evaluation. Mass Communication & Society. 23(3). 301–330. 18 indexed citations
4.
Tamul, Daniel J., et al.. (2019). (Re)constructing Professional Journalistic Practice in Mexico: Verificado’s Marketing of Legitimacy, Collaboration, and Pop Culture in Fact-Checking the 2018 Elections. International journal of communication. 13. 24. 5 indexed citations
5.
Waddell, T. Franklin, et al.. (2019). Virtual reality check: Statistical power, reported results, and the validity of research on the psychology of virtual reality and immersive environments. Computers in Human Behavior. 100. 70–78. 45 indexed citations
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Sundar, S. Shyam, Daniel J. Tamul, & Mu Wu. (2013). Capturing “cool”: Measures for assessing coolness of technological products. International Journal of Human-Computer Studies. 72(2). 169–180. 149 indexed citations
10.
Oliver, Mary Beth, et al.. (2012). The Effect of Narrative News Format on Empathy for Stigmatized Groups. Journalism & Mass Communication Quarterly. 89(2). 205–224. 190 indexed citations
11.
Oliver, Mary Beth, et al.. (2011). Meaningful Affective States Predict Favorable Evaluations of Meaningful Entertainment. 1 indexed citations
12.
Oliver, Mary Beth, Anthony M. Limperos, Daniel J. Tamul, & Julia K. Woolley. (2009). The Role of Mixed Affect in the Experience of Meaningful Entertainment. 1–27. 8 indexed citations
13.
Woolley, Julia K., Anthony M. Limperos, & Daniel J. Tamul. (2009). Cool, Revealing, or Annoying?: Measuring the Effects of Facebook Applications on Interpersonal Perceptions. 1–32. 1 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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