Amanda Swearngin

432 total citations
13 papers, 228 citations indexed

About

Amanda Swearngin is a scholar working on Human-Computer Interaction, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Amanda Swearngin has authored 13 papers receiving a total of 228 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Human-Computer Interaction, 4 papers in Computer Networks and Communications and 3 papers in Information Systems. Recurrent topics in Amanda Swearngin's work include Software System Performance and Reliability (3 papers), Innovative Human-Technology Interaction (3 papers) and Digital Accessibility for Disabilities (3 papers). Amanda Swearngin is often cited by papers focused on Software System Performance and Reliability (3 papers), Innovative Human-Technology Interaction (3 papers) and Digital Accessibility for Disabilities (3 papers). Amanda Swearngin collaborates with scholars based in United States, Australia and Ireland. Amanda Swearngin's co-authors include Yang Li, Jeffrey Nichols, Jason Wu, Amy J. Ko, Jeffrey P. Bigham, Xiaoyi Zhang, Lilian de Greef, Samuel White, Qi Shan and Mira Dontcheva and has published in prestigious journals such as CHI Conference on Human Factors in Computing Systems, 2013 35th International Conference on Software Engineering (ICSE) and International Conference on Software Engineering.

In The Last Decade

Amanda Swearngin

13 papers receiving 225 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Amanda Swearngin United States	8	85	82	64	50	36	13	228
Teresa Busjahn Germany	8	26 0.3×	239 2.9×	136 2.1×	65 1.3×	63 1.8×	13	419
Tim Shaffer United States	7	20 0.2×	201 2.5×	109 1.7×	51 1.0×	28 0.8×	14	293
Jan Van den Bergh Belgium	8	76 0.9×	40 0.5×	79 1.2×	77 1.5×	19 0.5×	34	270
G. Faconti Italy	9	102 1.2×	46 0.6×	95 1.5×	105 2.1×	42 1.2×	27	281
Joan M. Francioni United States	11	30 0.4×	86 1.0×	56 0.9×	30 0.6×	69 1.9×	28	311
Zéphyrin Soh Canada	8	25 0.3×	240 2.9×	89 1.4×	50 1.0×	89 2.5×	13	343
Toshiyuki Masui Japan	11	168 2.0×	57 0.7×	138 2.2×	69 1.4×	5 0.1×	24	330
Laisa C. P. Costa Brazil	11	63 0.7×	76 0.9×	20 0.3×	43 0.9×	6 0.2×	48	277
Guido Lemos de Souza Filho Brazil	8	86 1.0×	38 0.5×	67 1.0×	39 0.8×	4 0.1×	48	265
David Stotts United States	12	48 0.6×	187 2.3×	51 0.8×	114 2.3×	110 3.1×	36	347

Countries citing papers authored by Amanda Swearngin

Since Specialization

Citations

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

Fields of papers citing papers by Amanda Swearngin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amanda Swearngin

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

13 of 13 papers shown

1.

Wu, Jason, et al.. (2023). Never-ending Learning of User Interfaces. 1–13. 8 indexed citations

2.

Wu, Jason, et al.. (2022). Understanding Screen Relationships from Screenshots of Smartphone Applications. 447–458. 17 indexed citations

3.

Chen, Jieshan, et al.. (2022). Towards Complete Icon Labeling in Mobile Applications. CHI Conference on Human Factors in Computing Systems. 1–14. 15 indexed citations

4.

Swearngin, Amanda, et al.. (2021). Scraps: Enabling Mobile Capture, Contextualization, and Use of Document Resources. 1–14. 6 indexed citations

5.

Zhang, Xiaoyi, Lilian de Greef, Amanda Swearngin, et al.. (2021). Screen Recognition: Creating Accessibility Metadata for Mobile Applications from Pixels. 1–15. 83 indexed citations

6.

Swearngin, Amanda & Yang Li. (2019). Modeling Mobile Interface Tappability Using Crowdsourcing and Deep Learning. 1–11. 33 indexed citations

7.

Swearngin, Amanda, Amy J. Ko, & James Fogarty. (2018). Scout. 134–136. 1 indexed citations

8.

Swearngin, Amanda, Mira Dontcheva, Wilmot Li, et al.. (2018). Rewire. 1–12. 36 indexed citations

9.

Swearngin, Amanda, Amy J. Ko, & James Fogarty. (2017). Genie. 4703–4714. 7 indexed citations

10.

Swearngin, Amanda, Myra B. Cohen, Bonnie E. John, & Rachel Bellamy. (2013). Human performance regression testing. International Conference on Software Engineering. 152–161. 8 indexed citations

11.

Swearngin, Amanda, Myra B. Cohen, Bonnie E. John, & Rachel Bellamy. (2013). Human performance regression testing. 2013 35th International Conference on Software Engineering (ICSE). 152–161. 5 indexed citations

12.

Swearngin, Amanda, Myra B. Cohen, Bonnie E. John, & Rachel Bellamy. (2012). Easing the generation of predictive human performance models from legacy systems. 2489–2498. 8 indexed citations

13.

Swearngin, Amanda, Berthe Y. Choueiry, & Eugene C. Freuder. (2011). A Reformulation Strategy for Multi-Dimensional CSPs: The Case Study of the SET Game. Insecta mundi. 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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