Tom Tullis

1.3k total citations
13 papers, 658 citations indexed

About

Tom Tullis is a scholar working on Human-Computer Interaction, Sociology and Political Science and Information Systems and Management. According to data from OpenAlex, Tom Tullis has authored 13 papers receiving a total of 658 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Human-Computer Interaction, 6 papers in Sociology and Political Science and 4 papers in Information Systems and Management. Recurrent topics in Tom Tullis's work include Digital Marketing and Social Media (6 papers), Usability and User Interface Design (5 papers) and Gaze Tracking and Assistive Technology (3 papers). Tom Tullis is often cited by papers focused on Digital Marketing and Social Media (6 papers), Usability and User Interface Design (5 papers) and Gaze Tracking and Assistive Technology (3 papers). Tom Tullis collaborates with scholars based in United States and United Kingdom. Tom Tullis's co-authors include Marisa Siegel, Soussan Djamasbi, Jeanine Skorinko, Emily Sun and Man Ching Frankie Ng and has published in prestigious journals such as International Journal of Human-Computer Studies, International Journal of Electronic Commerce and Americas Conference on Information Systems.

In The Last Decade

Tom Tullis

13 papers receiving 581 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tom Tullis United States	10	236	195	143	137	108	13	658
Torkil Clemmensen Denmark	14	366 1.6×	187 1.0×	128 0.9×	46 0.3×	48 0.4×	90	811
Marta E. Cecchinato United Kingdom	15	343 1.5×	285 1.5×	132 0.9×	70 0.5×	83 0.8×	35	730
Chien Wen Yuan Taiwan	14	135 0.6×	249 1.3×	53 0.4×	99 0.7×	61 0.6×	69	576
Vera Khovanskaya United States	14	449 1.9×	423 2.2×	74 0.5×	67 0.5×	107 1.0×	24	893
Thea van der Geest Netherlands	15	112 0.5×	140 0.7×	127 0.9×	35 0.3×	34 0.3×	56	703
Carolyn Snyder United States	6	367 1.6×	166 0.9×	154 1.1×	41 0.3×	27 0.3×	13	772
Sergio Sayago Spain	14	182 0.8×	108 0.6×	40 0.3×	67 0.5×	455 4.2×	47	676
Eeva Raita Finland	5	152 0.6×	610 3.1×	220 1.5×	49 0.4×	44 0.4×	7	896
Ji-Hye Park South Korea	12	76 0.3×	168 0.9×	102 0.7×	141 1.0×	26 0.2×	38	940
Moira McGregor Sweden	13	212 0.9×	223 1.1×	84 0.6×	139 1.0×	32 0.3×	21	610

Countries citing papers authored by Tom Tullis

Since Specialization

Citations

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

Fields of papers citing papers by Tom Tullis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tom Tullis

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

All Works

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13 of 13 papers shown

1.

Djamasbi, Soussan, Marisa Siegel, & Tom Tullis. (2014). Can Fixation on Main Images Predict Visual Appeal of Homepages?. 4. 371–375. 9 indexed citations

2.

Djamasbi, Soussan, Marisa Siegel, & Tom Tullis. (2012). Designing Noticeable Bricklets by Tracking Users' Eye Movements. 9. 525–532. 9 indexed citations

3.

Djamasbi, Soussan, Marisa Siegel, Jeanine Skorinko, & Tom Tullis. (2011). Online Viewing and Aesthetic Preferences of Generation Y and the Baby Boom Generation: Testing User Web Site Experience Through Eye Tracking. International Journal of Electronic Commerce. 15(4). 121–158. 79 indexed citations

4.

Djamasbi, Soussan, et al.. (2010). Efficiency, Trust, and Visual Appeal: Usability Testing through Eye Tracking. 1–10. 47 indexed citations

5.

Djamasbi, Soussan, Marisa Siegel, & Tom Tullis. (2010). Generation Y, web design, and eye tracking. International Journal of Human-Computer Studies. 68(5). 307–323. 246 indexed citations

6.

Tullis, Tom, Marisa Siegel, & Emily Sun. (2009). Are people drawn to faces on webpages?. 4207–4212. 9 indexed citations

7.

Djamasbi, Soussan, et al.. (2009). Tracking Users’ Viewing Pattern. Digital WPI. 3 indexed citations

8.

Djamasbi, Soussan, et al.. (2008). Generation Y & Web Design: Usability through Eye Tracking. Americas Conference on Information Systems. 1–11. 13 indexed citations

9.

Tullis, Tom, et al.. (2004). Older adults and web usability. 1391–1394. 28 indexed citations

10.

Tullis, Tom, et al.. (2003). Web usability and age. 9 indexed citations

11.

Tullis, Tom, et al.. (2002). An Empirical Comparison of Lab and Remote Usability Testing of Web Sites. 70 indexed citations

12.

Tullis, Tom, et al.. (2002). Web usability and age. 30–37. 29 indexed citations

13.

Tullis, Tom, et al.. (2002). Web usability and age. 30–37. 107 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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