Chad Williams

1.6k total citations
25 papers, 1.1k citations indexed

About

Chad Williams is a scholar working on Information Systems, Management Science and Operations Research and Developmental and Educational Psychology. According to data from OpenAlex, Chad Williams has authored 25 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Information Systems, 5 papers in Management Science and Operations Research and 4 papers in Developmental and Educational Psychology. Recurrent topics in Chad Williams's work include Recommender Systems and Techniques (7 papers), Spam and Phishing Detection (6 papers) and Advanced Bandit Algorithms Research (5 papers). Chad Williams is often cited by papers focused on Recommender Systems and Techniques (7 papers), Spam and Phishing Detection (6 papers) and Advanced Bandit Algorithms Research (5 papers). Chad Williams collaborates with scholars based in United States, Canada and Malaysia. Chad Williams's co-authors include Bamshad Mobasher, Robin Burke, Runa Bhaumik, Peter Nelson, Abolfazl Mohammadian, Joshua Auld, Stan Kurkovsky, D. Horner, John S. Mason and Michael Goldweber and has published in prestigious journals such as Transportation Research Record Journal of the Transportation Research Board, IBM Systems Journal and ACM Transactions on Internet Technology.

In The Last Decade

Chad Williams

20 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chad Williams United States 12 819 505 247 195 121 25 1.1k
Sandeep Pandey India 19 518 0.6× 395 0.8× 311 1.3× 228 1.2× 27 0.2× 49 1.0k
Yongli Ren Australia 15 391 0.5× 348 0.7× 102 0.4× 95 0.5× 147 1.2× 76 834
Jingtao Ding China 16 342 0.4× 294 0.6× 96 0.4× 96 0.5× 218 1.8× 51 761
Jianxin Chang China 10 623 0.8× 556 1.1× 71 0.3× 118 0.6× 34 0.3× 17 840
Kaiqi Zhao New Zealand 15 375 0.5× 441 0.9× 145 0.6× 43 0.2× 244 2.0× 43 913
Manos Papagelis Canada 12 194 0.2× 250 0.5× 93 0.4× 62 0.3× 68 0.6× 46 726
Haibin Cheng United States 13 252 0.3× 375 0.7× 129 0.5× 82 0.4× 25 0.2× 17 655
Balaji Palanisamy United States 16 659 0.8× 573 1.1× 661 2.7× 22 0.1× 65 0.5× 89 1.3k
Liu Fang-ai China 16 270 0.3× 278 0.6× 114 0.5× 30 0.2× 59 0.5× 65 612

Countries citing papers authored by Chad Williams

Since Specialization
Citations

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

Fields of papers citing papers by Chad Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chad Williams

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

All Works

20 of 20 papers shown
1.
Kurkovsky, Stan, et al.. (2025). Best Practices in Software Projects with Community Partners. 1722–1722.
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Kurkovsky, Stan, et al.. (2024). External Projects and Partners: Addressing Challenges and Minimizing Risks from the Outset. 555–561. 2 indexed citations
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Williams, Chad & Stan Kurkovsky. (2017). Raspberry Pi creativity: A student-driven approach to teaching software design patterns. 1–9. 2 indexed citations
7.
Auld, Joshua, et al.. (2010). Urban Travel Route and Activity Choice Survey. Transportation Research Record Journal of the Transportation Research Board. 2183(1). 19–28. 30 indexed citations
8.
Auld, Joshua, Chad Williams, Abolfazl Mohammadian, & Peter Nelson. (2009). An automated GPS-based prompted recall survey with learning algorithms. Transportation Letters. 1(1). 59–79. 89 indexed citations
9.
Williams, Chad, Abolfazl Mohammadian, Peter Nelson, & Sean Doherty. (2008). Mining Sequential Association Rules for Traveler Context Prediction. 5 indexed citations
10.
Mobasher, Bamshad, Robin Burke, Runa Bhaumik, & Chad Williams. (2007). Toward trustworthy recommender systems. ACM Transactions on Internet Technology. 7(4). 23–23. 327 indexed citations
11.
Williams, Chad, Bamshad Mobasher, & Robin Burke. (2007). Defending recommender systems: detection of profile injection attacks. Service Oriented Computing and Applications. 1(3). 157–170. 114 indexed citations
12.
Bhaumik, Runa, Chad Williams, Bamshad Mobasher, & Robin Burke. (2006). Securing collaborative filtering against malicious attacks through anomaly detection. National Conference on Artificial Intelligence. 50–59. 56 indexed citations
13.
Mobasher, Bamshad, Robin Burke, Chad Williams, & Runa Bhaumik. (2006). Analysis and detection of segment-focused attacks against collaborative recommendation. 3 indexed citations
14.
Burke, Robin, Bamshad Mobasher, Chad Williams, & Runa Bhaumik. (2006). Detecting Profile Injection Attacks in Collaborative Recommender Systems. 23–23. 47 indexed citations
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Burke, Robin, Bamshad Mobasher, Runa Bhaumik, & Chad Williams. (2006). Segment-Based Injection Attacks against Collaborative Filtering Recommender Systems. 577–580. 60 indexed citations
17.
Burke, Robin, Bamshad Mobasher, Chad Williams, & Runa Bhaumik. (2006). Classification features for attack detection in collaborative recommender systems. 542–547. 183 indexed citations
18.
Mobasher, Bamshad, Robin Burke, Runa Bhaumik, & Chad Williams. (2005). Effective Attack Models for Shilling Item-Based Collaborative Filtering Systems. 67 indexed citations
19.
Williams, Chad, et al.. (2002). The STCL test tools architecture. IBM Systems Journal. 41(1). 74–88. 3 indexed citations
20.

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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