Dereck Toker

829 total citations
18 papers, 451 citations indexed

About

Dereck Toker is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Human-Computer Interaction. According to data from OpenAlex, Dereck Toker has authored 18 papers receiving a total of 451 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 10 papers in Human-Computer Interaction. Recurrent topics in Dereck Toker's work include Data Visualization and Analytics (16 papers), Gaze Tracking and Assistive Technology (8 papers) and Advanced Text Analysis Techniques (7 papers). Dereck Toker is often cited by papers focused on Data Visualization and Analytics (16 papers), Gaze Tracking and Assistive Technology (8 papers) and Advanced Text Analysis Techniques (7 papers). Dereck Toker collaborates with scholars based in Canada, Slovakia and Israel. Dereck Toker's co-authors include Cristina Conati, Giuseppe Carenini, Ben Steichen, Sébastien Lallé, Enamul Hoque, James T. Enns, Joel Lanir, Oliver Schneider, Tsvi Kuflik and Karon E. MacLean and has published in prestigious journals such as IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum and User Modeling and User-Adapted Interaction.

In The Last Decade

Dereck Toker

18 papers receiving 441 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dereck Toker Canada	12	305	159	158	90	66	18	451
Sébastien Lallé Canada	13	197 0.6×	127 0.8×	111 0.7×	45 0.5×	52 0.8×	23	331
Ben Steichen United States	12	322 1.1×	195 1.2×	204 1.3×	84 0.9×	66 1.0×	32	581
Tanja Blascheck Germany	14	502 1.6×	348 2.2×	100 0.6×	64 0.7×	65 1.0×	43	729
Sriram Karthik Badam United States	13	383 1.3×	215 1.4×	98 0.6×	37 0.4×	75 1.1×	25	559
John Joon Young Chung United States	11	93 0.3×	113 0.7×	139 0.9×	36 0.4×	60 0.9×	25	404
Ina Wechsung Germany	12	81 0.3×	168 1.1×	92 0.6×	34 0.4×	93 1.4×	44	437
Željko Obrenović Netherlands	12	116 0.4×	161 1.0×	100 0.6×	17 0.2×	65 1.0×	40	427
Samuel Huron France	12	303 1.0×	225 1.4×	59 0.4×	13 0.1×	79 1.2×	28	496
Andy Coenen United States	4	78 0.3×	64 0.4×	274 1.7×	33 0.4×	35 0.5×	6	461
Laura Anna Ripamonti Italy	9	76 0.2×	51 0.3×	86 0.5×	43 0.5×	99 1.5×	72	337

Countries citing papers authored by Dereck Toker

Since Specialization

Citations

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

Fields of papers citing papers by Dereck Toker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dereck Toker

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

All Works

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18 of 18 papers shown

Lanir, Joel, et al.. (2020). The effect of user characteristics in time series visualizations. 380–389. 10 indexed citations

Conati, Cristina, et al.. (2020). Comparing and Combining Interaction Data and Eye-tracking Data for the Real-time Prediction of User Cognitive Abilities in Visualization Tasks. ACM Transactions on Interactive Intelligent Systems. 10(2). 1–41. 28 indexed citations

Toker, Dereck, Róbert Móro, Jakub Šimko, Mária Bieliková, & Cristina Conati. (2019). Impact of English Reading Comprehension Abilities on Processing Magazine Style Narrative Visualizations and Implications for Personalization. 309–317. 6 indexed citations

Lallé, Sébastien, Cristina Conati, & Dereck Toker. (2019). A gaze-based experimenter platform for designing and evaluating adaptive interventions in information visualizations. 1–3. 4 indexed citations

Toker, Dereck, Cristina Conati, & Giuseppe Carenini. (2019). Gaze analysis of user characteristics in magazine style narrative visualizations. User Modeling and User-Adapted Interaction. 29(5). 977–1011. 14 indexed citations

Lallé, Sébastien, Dereck Toker, & Cristina Conati. (2019). Gaze-Driven Adaptive Interventions for Magazine-Style Narrative Visualizations. IEEE Transactions on Visualization and Computer Graphics. 27(6). 2941–2952. 30 indexed citations

Toker, Dereck, Cristina Conati, & Giuseppe Carenini. (2018). User-adaptive Support for Processing Magazine Style Narrative Visualizations. 199–204. 11 indexed citations

Conati, Cristina, et al.. (2017). Further Results on Predicting Cognitive Abilities for Adaptive Visualizations. 1568–1574. 15 indexed citations

Toker, Dereck, Sébastien Lallé, & Cristina Conati. (2017). Pupillometry and Head Distance to the Screen to Predict Skill Acquisition During Information Visualization Tasks. 221–231. 18 indexed citations

10.

Toker, Dereck & Cristina Conati. (2017). Leveraging Pupil Dilation Measures for Understanding Users' Cognitive Load During Visualization Processing. 267–270. 6 indexed citations

11.

Lallé, Sébastien, Dereck Toker, Cristina Conati, & Giuseppe Carenini. (2015). Prediction of Users' Learning Curves for Adaptation while Using an Information Visualization. 357–368. 30 indexed citations

12.

Conati, Cristina, Giuseppe Carenini, Dereck Toker, & Sébastien Lallé. (2015). Towards User-Adaptive Information Visualization. Proceedings of the AAAI Conference on Artificial Intelligence. 29(1). 28 indexed citations

13.

Toker, Dereck, et al.. (2014). Towards facilitating user skill acquisition. 105–114. 17 indexed citations

14.

Conati, Cristina, Giuseppe Carenini, Enamul Hoque, Ben Steichen, & Dereck Toker. (2014). Evaluating the Impact of User Characteristics and Different Layouts on an Interactive Visualization for Decision Making. Computer Graphics Forum. 33(3). 371–380. 52 indexed citations

15.

Carenini, Giuseppe, Cristina Conati, Enamul Hoque, et al.. (2014). Highlighting interventions and user differences. 1835–1844. 61 indexed citations

16.

Conati, Cristina, Enamul Hoque, Dereck Toker, & Ben Steichen. (2013). When to Adapt: Detecting User's Confusion During Visualization Processing.. 10 indexed citations

17.

Schneider, Oliver, et al.. (2013). It's alive!: exploring the design space of a gesturing phone. Graphics Interface. 205–212. 14 indexed citations

18.

Toker, Dereck, Cristina Conati, Ben Steichen, & Giuseppe Carenini. (2013). Individual user characteristics and information visualization. 295–304. 97 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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