Grant Williams

418 total citations
10 papers, 269 citations indexed

About

Grant Williams is a scholar working on Information Systems, Artificial Intelligence and Computer Science Applications. According to data from OpenAlex, Grant Williams has authored 10 papers receiving a total of 269 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Information Systems, 4 papers in Artificial Intelligence and 2 papers in Computer Science Applications. Recurrent topics in Grant Williams's work include Software Engineering Research (7 papers), Topic Modeling (3 papers) and Sentiment Analysis and Opinion Mining (2 papers). Grant Williams is often cited by papers focused on Software Engineering Research (7 papers), Topic Modeling (3 papers) and Sentiment Analysis and Opinion Mining (2 papers). Grant Williams collaborates with scholars based in United States. Grant Williams's co-authors include Anas Mahmoud, Nishant Jha, Lee S. Katz, Henk C. den Bakker, Jessica Chen and Taylor Griswold and has published in prestigious journals such as Requirements Engineering, Computer Science Education and Automated Software Engineering.

In The Last Decade

Grant Williams

10 papers receiving 255 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Grant Williams United States	8	196	75	51	49	26	10	269
Christoph Stanik Germany	4	263 1.3×	107 1.4×	48 0.9×	54 1.1×	24 0.9×	6	331
Safwat Hassan Canada	10	194 1.0×	60 0.8×	46 0.9×	66 1.3×	62 2.4×	25	315
Stuart Mcilroy Canada	5	234 1.2×	62 0.8×	46 0.9×	108 2.2×	50 1.9×	7	360
José M. Del Álamo Spain	11	167 0.9×	149 2.0×	65 1.3×	194 4.0×	51 2.0×	46	383
Dewi Khairani Indonesia	11	128 0.7×	52 0.7×	13 0.3×	57 1.2×	30 1.2×	69	266
Furkh Zeshan Pakistan	10	126 0.6×	73 1.0×	33 0.6×	30 0.6×	92 3.5×	29	279
Eduard C. Groen Germany	9	207 1.1×	88 1.2×	95 1.9×	24 0.5×	22 0.8×	22	300
Humberto T. Marques-Neto Brazil	10	124 0.6×	76 1.0×	23 0.5×	48 1.0×	77 3.0×	50	282
Dragutin Kermek Croatia	8	119 0.6×	45 0.6×	74 1.5×	17 0.3×	17 0.7×	25	261
Steffen Dienst Germany	8	213 1.1×	68 0.9×	53 1.0×	47 1.0×	54 2.1×	12	318

Countries citing papers authored by Grant Williams

Since Specialization

Citations

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

Fields of papers citing papers by Grant Williams

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Grant Williams

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

10 of 10 papers shown

1.

Griswold, Taylor, et al.. (2021). SneakerNet: A modular quality assurance and quality check workflow for primary genomic and metagenomic read data. The Journal of Open Source Software. 6(60). 2334–2334. 2 indexed citations

2.

Williams, Grant, et al.. (2020). Modeling user concerns in Sharing Economy: the case of food delivery apps. Automated Software Engineering. 27(3-4). 229–263. 33 indexed citations

3.

Williams, Grant, et al.. (2019). Using GitHub in large software engineering classes. An exploratory case study. Computer Science Education. 30(2). 155–186. 17 indexed citations

4.

Williams, Grant & Anas Mahmoud. (2018). Modeling User Concerns in the App Store: A Case Study on the Rise and Fall of Yik Yak. Civil War Book Review. 64–75. 17 indexed citations

5.

Williams, Grant & Anas Mahmoud. (2017). Mining Twitter Feeds for Software User Requirements. Civil War Book Review. 1–10. 71 indexed citations

6.

Williams, Grant & Anas Mahmoud. (2017). Mining Twitter Data for a More Responsive Software Engineering Process. Civil War Book Review. 280–282. 2 indexed citations

7.

Jha, Nishant, et al.. (2017). Analyzing User Comments on YouTube Coding Tutorial Videos. Civil War Book Review. 196–206. 52 indexed citations

8.

Williams, Grant & Anas Mahmoud. (2017). Analyzing, Classifying, and Interpreting Emotions in Software Users' Tweets. Civil War Book Review. 2–7. 11 indexed citations

9.

Williams, Grant & Anas Mahmoud. (2017). Analyzing, classifying, and interpreting emotions in software users' tweets. 2–7. 10 indexed citations

10.

Mahmoud, Anas & Grant Williams. (2016). Detecting, classifying, and tracing non-functional software requirements. Requirements Engineering. 21(3). 357–381. 54 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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