Catherine Howard

703 total citations
25 papers, 560 citations indexed

About

Catherine Howard is a scholar working on Artificial Intelligence, Education and General Health Professions. According to data from OpenAlex, Catherine Howard has authored 25 papers receiving a total of 560 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 6 papers in Education and 4 papers in General Health Professions. Recurrent topics in Catherine Howard's work include Bayesian Modeling and Causal Inference (5 papers), AI-based Problem Solving and Planning (4 papers) and Semantic Web and Ontologies (4 papers). Catherine Howard is often cited by papers focused on Bayesian Modeling and Causal Inference (5 papers), AI-based Problem Solving and Planning (4 papers) and Semantic Web and Ontologies (4 papers). Catherine Howard collaborates with scholars based in United States, Australia and United Kingdom. Catherine Howard's co-authors include Steven J. Danish, Albert D. Farrell, Markus Stumptner, Lynn E. Pelco, Leslie F. Sikos, Wolfgang Mayer, Alex O. Holcombe, Claire Anderson, A. Judson Wells and Eli Blevis and has published in prestigious journals such as Journal of Consulting and Clinical Psychology, ACM Computing Surveys and Psychological Assessment.

In The Last Decade

Catherine Howard

23 papers receiving 513 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Catherine Howard United States 7 299 161 159 109 99 25 560
Fabrizia Giannotta Sweden 15 277 0.9× 93 0.6× 152 1.0× 114 1.0× 106 1.1× 44 661
Rachel Smith Australia 12 237 0.8× 144 0.9× 199 1.3× 222 2.0× 210 2.1× 27 676
Steven M. Giles United States 16 220 0.7× 122 0.8× 238 1.5× 84 0.8× 132 1.3× 22 606
Michael M. Phillips United States 14 367 1.2× 111 0.7× 94 0.6× 217 2.0× 171 1.7× 27 824
Hilary Saner United States 8 206 0.7× 59 0.4× 107 0.7× 102 0.9× 93 0.9× 17 473
Ruth W. Edwards United States 10 152 0.5× 120 0.7× 112 0.7× 105 1.0× 110 1.1× 13 476
Caitlin McPherran Lombardi United States 15 178 0.6× 48 0.3× 163 1.0× 65 0.6× 274 2.8× 41 686
Charlie Rioux United States 14 229 0.8× 72 0.4× 74 0.5× 105 1.0× 71 0.7× 47 507
Chris Stewart United States 14 177 0.6× 64 0.4× 116 0.7× 92 0.8× 100 1.0× 57 582
Megan L. Smith United States 17 202 0.7× 28 0.2× 60 0.4× 166 1.5× 214 2.2× 52 666

Countries citing papers authored by Catherine Howard

Since Specialization
Citations

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

Fields of papers citing papers by Catherine Howard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Catherine Howard

This figure shows the co-authorship network connecting the top 25 collaborators of Catherine Howard. A scholar is included among the top collaborators of Catherine Howard 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 Catherine Howard. Catherine Howard 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.
Anderson, Claire, et al.. (2019). Talking Textiles, Making Value: Catalyzing Fashion, Dress, and Textiles Heritage in the Midlands. University of the Arts London Research Online (University of the Arts London). 8(1). 84–111.
2.
Sikos, Leslie F., et al.. (2018). Representing network knowledge using provenance-aware formalisms for cyber-situational awareness. Procedia Computer Science. 126. 29–38. 8 indexed citations
3.
Pelco, Lynn E. & Catherine Howard. (2016). Incorporating Community Engagement Language into Promotion and Tenure Policies: One University’s Journey. 27(2). 87–98. 4 indexed citations
4.
Pelco, Lynn E. & Catherine Howard. (2015). Faculty Development for Service-Learning: One Size Does Not Fit All. VCU Scholars Compass (Virginia Commonwealth University). 1 indexed citations
5.
Howard, Catherine & Markus Stumptner. (2014). A Survey of Directed Entity-Relation--Based First-Order Probabilistic Languages. ACM Computing Surveys. 47(1). 1–40. 5 indexed citations
6.
Howard, Catherine & Alex O. Holcombe. (2010). Progressively poorer perceptual precision and progressively greater perceptual lag: Tracking the changing features of one, two and four objects. Journal of Vision. 6(6). 785–785. 1 indexed citations
7.
Blevis, Eli, et al.. (2009). Designing for a sustainable future. 493–494. 1 indexed citations
8.
Howard, Catherine & Markus Stumptner. (2009). Automated compilation of Object-Oriented Probabilistic Relational Models. International Journal of Approximate Reasoning. 50(9). 1369–1398. 5 indexed citations
9.
Howard, Catherine, et al.. (2009). Guides Not Gurus. Ethnographic Praxis in Industry Conference Proceedings. 2009(1). 17–28. 6 indexed citations
10.
Howard, Catherine & Markus Stumptner. (2006). Model Construction Algorithms for Object-Oriented Probabilistic Relational Models.. The Florida AI Research Society. 830–835. 2 indexed citations
11.
Howard, Catherine & Markus Stumptner. (2006). Object and Knowledge Modeling for Impact Fusion.. Software Engineering and Knowledge Engineering. 9(1). 420–425. 1 indexed citations
12.
Howard, Catherine & Markus Stumptner. (2005). Probabilistic Reasoning Techniques for Situation Assessments. 1. 383–386. 2 indexed citations
13.
Howard, Catherine & Markus Stumptner. (2005). SITUATION ASSESSMENT WITH OBJECT ORIENTED PROBABILISTIC RELATIONAL MODELS. 412–418. 1 indexed citations
14.
Howard, Catherine & Markus Stumptner. (2005). Situation assessments using object oriented probabilistic relational models. 3040. 8 pp.–8 pp.. 7 indexed citations
15.
Howard, Catherine. (2004). Bringing All Partners to the Table: The Virginia Commonwealth University and Carver Community Partnership. 15(3). 57–76. 2 indexed citations
16.
Howard, Catherine, et al.. (2004). Knowledge Intensive Interpretation of Signal Data. Lecture notes in computer science. 170–175. 1 indexed citations
17.
Farrell, Albert D., Steven J. Danish, & Catherine Howard. (1992). Risk factors for drug use in urban adolescents: Identification and cross‐validation. American Journal of Community Psychology. 20(3). 263–286. 69 indexed citations
18.
Farrell, Albert D., Steven J. Danish, & Catherine Howard. (1992). Relationship between drug use and other problem behaviors in urban adolescents.. Journal of Consulting and Clinical Psychology. 60(5). 705–712. 203 indexed citations
19.
Farrell, Albert D., Steven J. Danish, & Catherine Howard. (1991). Evaluation of data screening methods in surveys of adolescents' drug use.. Psychological Assessment. 3(2). 295–298. 6 indexed citations
20.
Farrell, Albert D., Steven J. Danish, & Catherine Howard. (1991). Evaluation of data screening methods in surveys of adolescents' drug use.. Psychological Assessment. 3(2). 295–298. 37 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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