Marisa Siegel

773 total citations
11 papers, 440 citations indexed

About

Marisa Siegel is a scholar working on Human-Computer Interaction, Sociology and Political Science and Information Systems and Management. According to data from OpenAlex, Marisa Siegel has authored 11 papers receiving a total of 440 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Human-Computer Interaction, 6 papers in Sociology and Political Science and 4 papers in Information Systems and Management. Recurrent topics in Marisa Siegel's work include Digital Marketing and Social Media (6 papers), Gaze Tracking and Assistive Technology (5 papers) and Technology Adoption and User Behaviour (3 papers). Marisa Siegel is often cited by papers focused on Digital Marketing and Social Media (6 papers), Gaze Tracking and Assistive Technology (5 papers) and Technology Adoption and User Behaviour (3 papers). Marisa Siegel collaborates with scholars based in United States and United Kingdom. Marisa Siegel's co-authors include Soussan Djamasbi, Tom Tullis, Jeanine Skorinko, Emily Sun, Man Ching Frankie Ng and Thomas S. Tullis and has published in prestigious journals such as International Journal of Human-Computer Studies, International Journal of Electronic Commerce and AIS Transactions on Human-Computer Interaction.

In The Last Decade

Marisa Siegel

11 papers receiving 391 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marisa Siegel United States	8	175	127	124	96	57	11	440
Zike Cao China	7	138 0.8×	125 1.0×	62 0.5×	74 0.8×	49 0.9×	9	382
Mirjam Seckler Switzerland	5	143 0.8×	89 0.7×	56 0.5×	90 0.9×	38 0.7×	8	310
Mincheol Shin Netherlands	8	170 1.0×	101 0.8×	80 0.6×	46 0.5×	41 0.7×	17	386
Sheila Matson-Barkat France	5	174 1.0×	123 1.0×	194 1.6×	66 0.7×	24 0.4×	5	405
Sungwon Chung United States	10	111 0.6×	68 0.5×	77 0.6×	45 0.5×	27 0.5×	15	383
Kai‐Christoph Hamborg Germany	9	67 0.4×	47 0.4×	104 0.8×	50 0.5×	40 0.7×	23	319
Angel Hsing‐Chi Hwang United States	8	106 0.6×	75 0.6×	60 0.5×	43 0.4×	31 0.5×	28	295
Anders Bruun Denmark	13	78 0.4×	66 0.5×	184 1.5×	50 0.5×	27 0.5×	37	408
Jason Holmes United States	3	141 0.8×	43 0.3×	70 0.6×	54 0.6×	23 0.4×	5	314
Jennifer Brannon Barhorst United States	8	341 1.9×	280 2.2×	192 1.5×	215 2.2×	20 0.4×	12	688

Countries citing papers authored by Marisa Siegel

Since Specialization

Citations

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

Fields of papers citing papers by Marisa Siegel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marisa Siegel

This figure shows the co-authorship network connecting the top 25 collaborators of Marisa Siegel. A scholar is included among the top collaborators of Marisa Siegel 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 Marisa Siegel. Marisa Siegel 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:

11 of 11 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.

Tullis, Thomas S. & Marisa Siegel. (2013). Does ad blindness on the web vary by age and gender?. 1833–1838. 2 indexed citations

3.

Djamasbi, Soussan, et al.. (2012). Faces and Viewing Behavior: An Exploratory Investigation. AIS Transactions on Human-Computer Interaction. 4(3). 190–211. 22 indexed citations

4.

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

5.

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

6.

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

7.

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

8.

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

9.

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

10.

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

11.

Siegel, Marisa, et al.. (2008). Appeal of Web Page Layout and Characteristics Based on Age: Usability Research through Eye Tracking at Fidelity Investments Inc.. 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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