Conrad S. Tucker

3.1k total citations
145 papers, 2.2k citations indexed

About

Conrad S. Tucker is a scholar working on Artificial Intelligence, Mechanical Engineering and Sociology and Political Science. According to data from OpenAlex, Conrad S. Tucker has authored 145 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 32 papers in Mechanical Engineering and 19 papers in Sociology and Political Science. Recurrent topics in Conrad S. Tucker's work include Design Education and Practice (27 papers), Product Development and Customization (14 papers) and Color perception and design (14 papers). Conrad S. Tucker is often cited by papers focused on Design Education and Practice (27 papers), Product Development and Customization (14 papers) and Color perception and design (14 papers). Conrad S. Tucker collaborates with scholars based in United States, Thailand and United Kingdom. Conrad S. Tucker's co-authors include Suppawong Tuarob, Christian López, Harrison Kim, Sunghoon Lim, Soundar Kumara, Matthew L. Dering, Nilàm Ram, Timothy W. Simpson, James Cunningham and Marcel Salathé and has published in prestigious journals such as Nature Communications, PLoS ONE and Scientific Reports.

In The Last Decade

Conrad S. Tucker

137 papers receiving 2.1k citations

Peers

Conrad S. Tucker

SPS

Mary Lou Maher United States

Jorge Luís Victória Barbosa Brazil

Jan Treur Netherlands

Simone Stumpf United Kingdom

Michael Terry Canada

Jens Rasmussen Denmark

Constantine Stephanidis Greece

Vincent G. Duffy United States

Philip Moore United Kingdom

Ashish Gupta United States

Mary Lou Maher United States

Conrad S. Tucker

959 ×1.7

186 ×0.5

SPS

1.1k ×3.4

251 ×0.9

308 ×1.4

Citations per year, relative to Conrad S. Tucker Conrad S. Tucker (= 1×) peers Mary Lou Maher

Countries citing papers authored by Conrad S. Tucker

Since Specialization

Citations

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

Fields of papers citing papers by Conrad S. Tucker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Conrad S. Tucker. 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 Conrad S. Tucker. The network helps show where Conrad S. Tucker may publish in the future.

Co-authorship network of co-authors of Conrad S. Tucker

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

All Works

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20 of 20 papers shown

Maina, Joseph, et al.. (2025). Accessible Digital Reconstruction and Mechanical Prediction of 3D-Printed Prosthetics. Journal of Mechanical Design. 147(6).

Jeni, László A., et al.. (2025). Video-based estimation of blood pressure. PLoS ONE. 20(1). e0311654–e0311654. 1 indexed citations

Tucker, Conrad S., et al.. (2024). Mitigating adversarial cascades in large graph environments. Expert Systems with Applications. 258. 125243–125243. 1 indexed citations

Guirguis, David, Conrad S. Tucker, & Jack Beuth. (2024). Accelerating process development for 3D printing of new metal alloys. Nature Communications. 15(1). 582–582. 17 indexed citations

Maina, Joseph, et al.. (2024). Increasing Accessibility of 3D-Printed Customized Prosthetics in Resource-Constrained Communities. 1 indexed citations

Jeni, László A., et al.. (2023). Video-Based Elevated Skin Temperature Detection. IEEE Transactions on Biomedical Engineering. 70(8). 2430–2444. 5 indexed citations

Doss, Christopher, et al.. (2023). Deepfakes and scientific knowledge dissemination. Scientific Reports. 13(1). 13429–13429. 29 indexed citations

Jeni, László A., et al.. (2021). Evaluation of biases in remote photoplethysmography methods. npj Digital Medicine. 4(1). 91–91. 54 indexed citations

Tucker, Conrad S., et al.. (2019). Mobile Based Real-Time Occlusion Between Real and Digital Objects in Augmented Reality.

10.

López, Christian, Scott Tucker, T. Salameh, & Conrad S. Tucker. (2018). An unsupervised machine learning method for discovering patient clusters based on genetic signatures. Journal of Biomedical Informatics. 85. 30–39. 82 indexed citations

11.

Dering, Matthew L. & Conrad S. Tucker. (2017). Implications of Generative Models in Government.. National Conference on Artificial Intelligence. 158–163. 4 indexed citations

12.

Dering, Matthew L. & Conrad S. Tucker. (2017). Early predicting of student struggles using body language.

13.

Tuarob, Suppawong, Conrad S. Tucker, Soundar Kumara, et al.. (2017). How are you feeling?: A personalized methodology for predicting mental states from temporally observable physical and behavioral information. Journal of Biomedical Informatics. 68. 1–19. 29 indexed citations

14.

Lim, Sunghoon, Conrad S. Tucker, & Soundar Kumara. (2016). An unsupervised machine learning model for discovering latent infectious diseases using social media data. Journal of Biomedical Informatics. 66. 82–94. 85 indexed citations

15.

Ma, Junfeng, Conrad S. Tucker, Gül E. Okudan Kremer, & Kathy L. Jackson. (2016). Exposure to Digital and Hands-on Delivery Modes in Engineering Design Education and Their Impact on Task Completion Efficiency. Journal of Integrated Design and Process Science. 21(2). 61–78. 9 indexed citations

16.

Tucker, Conrad S., Harriet Black Nembhard, Wang-Chien Lee, et al.. (2015). A data mining methodology for predicting early stage Parkinson's disease using non-invasive, high-dimensional gait sensor data. PubMed. 5(4). 238–254. 13 indexed citations

17.

Tucker, Conrad S., et al.. (2015). Modeling the Semantic Structure of Textually Derived Learning Content and its Impact on Recipients' Response States. Journal of Mechanical Design. 138(4). 9 indexed citations

18.

Tuarob, Suppawong, Conrad S. Tucker, Marcel Salathé, & Nilàm Ram. (2014). An ensemble heterogeneous classification methodology for discovering health-related knowledge in social media messages. Journal of Biomedical Informatics. 49. 255–268. 77 indexed citations

19.

Kremer, Gül E. Okudan, et al.. (2013). Student preferences on tactile versus digital learning: implications for conceptual design. 735–739. 2 indexed citations

20.

Tucker, Conrad S., et al.. (2010). A ReliefF attribute weighting and X-means clustering methodology for top-down product family optimization. Engineering Optimization. 42(7). 593–616. 15 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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