Graceline Williams

449 total citations
8 papers, 313 citations indexed

About

Graceline Williams is a scholar working on Computer Vision and Pattern Recognition, Building and Construction and Human-Computer Interaction. According to data from OpenAlex, Graceline Williams has authored 8 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 5 papers in Building and Construction and 2 papers in Human-Computer Interaction. Recurrent topics in Graceline Williams's work include Augmented Reality Applications (5 papers), BIM and Construction Integration (4 papers) and 3D Surveying and Cultural Heritage (2 papers). Graceline Williams is often cited by papers focused on Augmented Reality Applications (5 papers), BIM and Construction Integration (4 papers) and 3D Surveying and Cultural Heritage (2 papers). Graceline Williams collaborates with scholars based in United States, India and Canada. Graceline Williams's co-authors include Javier Irizarry, Masoud Gheisari, Bruce N. Walker, Kathy O. Roper, Justin O. Schmidt, Ali Mazalek, Roozbeh Manshaei, Sanjay Chandrasekharan and Ahmed Sabbir Arif and has published in prestigious journals such as Automation in Construction, Journal of Management in Engineering and Facilities.

In The Last Decade

Graceline Williams

8 papers receiving 297 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Graceline Williams United States	6	171	166	127	79	46	8	313
Matthias Neges Germany	7	126 0.7×	193 1.2×	88 0.7×	93 1.2×	37 0.8×	12	362
Shakiba Davari United States	9	162 0.9×	122 0.7×	160 1.3×	130 1.6×	25 0.5×	19	407
Mario Wolf Germany	11	131 0.8×	78 0.5×	44 0.3×	72 0.9×	52 1.1×	21	349
Yu-Chih Su Taiwan	8	265 1.5×	46 0.3×	140 1.1×	28 0.4×	68 1.5×	12	371
Gilles Albeaino United States	9	96 0.6×	34 0.2×	118 0.9×	41 0.5×	57 1.2×	23	310
Chengyuan Lai United States	6	124 0.7×	49 0.3×	61 0.5×	35 0.4×	12 0.3×	8	228
Yang Ye United States	11	78 0.5×	51 0.3×	18 0.1×	27 0.3×	66 1.4×	29	328
Saeed Safikhani Austria	7	41 0.2×	71 0.4×	28 0.2×	110 1.4×	25 0.5×	16	226
Jesús Gimeno Spain	8	28 0.2×	165 1.0×	57 0.4×	105 1.3×	15 0.3×	36	251
Taysheng Jeng Taiwan	8	71 0.4×	71 0.4×	21 0.2×	46 0.6×	19 0.4×	35	220

Countries citing papers authored by Graceline Williams

Since Specialization

Citations

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

Fields of papers citing papers by Graceline Williams

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Graceline Williams

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

8 of 8 papers shown

1.

Arif, Ahmed Sabbir, et al.. (2016). Active Pathways. 129–138. 13 indexed citations

2.

Gheisari, Masoud, et al.. (2014). Exploring BIM and Mobile Augmented Reality Use in Facilities Management. Construction Research Congress 2014. 1941–1950. 22 indexed citations

3.

Williams, Graceline, Masoud Gheisari, & Javier Irizarry. (2014). Issues of Translating BIM for Mobile Augmented Reality (MAR) Environments. Construction Research Congress 2014. 100–109. 2 indexed citations

4.

Williams, Graceline, et al.. (2014). Knee. 209–214. 1 indexed citations

5.

Irizarry, Javier, Masoud Gheisari, Graceline Williams, & Kathy O. Roper. (2014). Ambient intelligence environments for accessing building information. Facilities. 32(3/4). 120–138. 63 indexed citations

6.

Williams, Graceline, et al.. (2014). BIM2MAR: An Efficient BIM Translation to Mobile Augmented Reality Applications. Journal of Management in Engineering. 31(1). 87 indexed citations

7.

Gheisari, Masoud, Graceline Williams, Bruce N. Walker, & Javier Irizarry. (2014). Locating Building Components in a Facility Using Augmented Reality vs. Paper-Based Methods: A User-Centered Experimental Comparison. Computing in Civil and Building Engineering (2014). 850–857. 10 indexed citations

8.

Irizarry, Javier, Masoud Gheisari, Graceline Williams, & Bruce N. Walker. (2012). InfoSPOT: A mobile Augmented Reality method for accessing building information through a situation awareness approach. Automation in Construction. 33. 11–23. 115 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.

Explore authors with similar magnitude of impact