Daniel J. Tamul

23 total papers · 625 total citations
13 papers, 452 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 452 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 Impact of Technology on Adolescents (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 Impact of Technology on Adolescents (2 papers). Daniel J. Tamul collaborates with scholars based in United States, United Kingdom and South Korea. Daniel J. Tamul's co-authors include S. Shyam Sundar, Mary Beth Oliver, Mu Wu, James Price Dillard, Katherine Haenschen, Malte Elson, James Ivory, Andrew K Przybylski, T. Franklin Waddell and Julia K. Woolley 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 437 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Daniel J. Tamul 222 172 125 94 78 13 452
Vincent Cicchirillo 308 1.4× 115 0.7× 171 1.4× 80 0.9× 86 1.1× 25 547
Jacqueline C. Hitchon 230 1.0× 139 0.8× 88 0.7× 136 1.4× 78 1.0× 17 477
Qingwen Dong 220 1.0× 173 1.0× 160 1.3× 60 0.6× 135 1.7× 12 512
Peter Clarke 262 1.2× 112 0.7× 168 1.3× 107 1.1× 49 0.6× 11 524
Philip J. Auter 289 1.3× 274 1.6× 208 1.7× 89 0.9× 36 0.5× 19 545
Kak Yoon 231 1.0× 81 0.5× 89 0.7× 183 1.9× 61 0.8× 18 405
Lee Ahern 252 1.1× 126 0.7× 112 0.9× 68 0.7× 54 0.7× 21 443
Heather Shoenberger 341 1.5× 113 0.7× 66 0.5× 212 2.3× 40 0.5× 29 483
Marjorie Delbaere 274 1.2× 83 0.5× 47 0.4× 231 2.5× 71 0.9× 16 540
Ronald A. Yaros 311 1.4× 149 0.9× 60 0.5× 192 2.0× 29 0.4× 13 481

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

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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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