List of Publications

Journal, Conference, and Symposium Publications:

  1. John Wenskovitch and Chris North. “Pollux: Interactive Cluster-First Projections of High-Dimensional Data,” in 2019 Symposium on Visualization in Data Science. VDS’19. Vancouver, BC, Canada, 2019. Acceptance Rate: 29.6%.
  2. John Wenskovitch, Jian Zhao, Scott Carter, Matthew Cooper, and Chris North. “Albireo: An Interactive Tool for Visually Summarizing Computational Notebook Structure,” in 2019 Symposium on Visualization in Data Science. VDS’19. Vancouver, BC, Canada, 2019. Acceptance Rate: 29.6%.
  3. Christian Bors, John Wenskovitch, Michelle Dowling, Simon Attfield, Leilani Battle, Alex Endert, Olga Kulyk, and Robert S. Laramee. “A Provenance Task Abstraction Framework,” Computer Graphics & Applications (2019), pp. 1–15. DOI: 10.1109/MCG.2019.2945720. Journal Impact Factor: 1.725.
  4. Moeti M. Masiane, Anne Driscoll, Wu-chun Feng, John Wenskovitch, and Chris North. “Towards Insight-Driven Sampling for Big Data Visualization,” Behaviour & Information Technology (2019), pp. 1–20. DOI: 10.1080/0144929X.2019.1616223. Journal Impact Factor: 1.429.
  5. Michelle Dowling, Nathan Wycoff, Brian Mayer, John Wenskovitch, Scotland Leman, Leanna House, Nicholas Polys, Chris North, and Peter Hauck. “Interactive Visual Analytics for Sensemaking with Big Text,” Big Data Research, 16 (July 2019), pp. 49–58. DOI: https://doi.org/10.1016/j.bdr.2019.04.003. Journal Impact Factor: 2.952.
  6. Michelle Dowling, John Wenskovitch, J.T. Fry, Scotland Leman, Leanna House, and Chris North. “SIRIUS: Dual, Symmetric, Interactive Dimension Reductions,” IEEE Transactions on Visualization and Computer Graphics, 25(1) (Jan. 2019), pp. 172–182. DOI: 10.1109/TVCG.2018.2865047. Presented at IEEE VIS (VAST) 2018; Acceptance Rate 25.6%. Journal Impact Factor: 2.84.
  7. John Wenskovitch, Lauren Bradel, Michelle Dowling, Leanna House, and Chris North. “The Effect of Semantic Interaction on Foraging in Text Analysis,” in 2018 IEEE Conference on Visual Analytics Science and Technology (VAST). Oct. 2018, pp. 13–24. DOI: 10.1109/VAST.2018.8802424. Acceptance Rate: 30.4%.
  8. Jessica Zeitz Self, Michelle Dowling, John Wenskovitch, Ian Crandell, Ming Wang, Leanna House, Scotland Leman, and Chris North. “Observation-Level and Parametric Interaction for High-Dimensional Data Analysis,” ACM Transactions on Interactive Intelligent Systems (TiiS), 8(2) (June 2018), 15:1–15:36. DOI: 10.1145/3158230. Journal Impact Factor: 1.65.
  9. Xin Chen, Jessica Zeitz Self, Leanna House, John Wenskovitch, Maoyuan Sun, Nathan Wycoff, Jane Robertson Evia, Scotland Leman, and Chris North. “Be the Data: Embodied Visual Analytics,” IEEE Transactions on Learning Technologies, 11(1) (Jan. 2018), pp. 81–95. DOI: 10.1109/TLT.2017.2757481. Journal Impact Factor: 2.315.
  10. John Wenskovitch, Ian Crandell, Naren Ramakrishnan, Leanna House, Scotland Leman, and Chris North. “Towards a Systematic Combination of Dimension Reduction and Clustering in Visual Analytics,” IEEE Transactions on Visualization and Computer Graphics, 24(1) (Jan. 2018), pp. 131–141. DOI: 10.1109/TVCG.2017.2745258. Presented at IEEE VIS (VAST) 2017; Acceptance Rate: 21.4%. Journal Impact Factor: 2.84.
  11. John Wenskovitch, James C. Lombardi, and Roger W. M. Hatfull. “FluxE: Exploring Flux in Astrophysical Simulations,” in SIGGRAPH ASIA 2016 Symposium on Visualization. SA ’16. Macau: ACM, 2016, 15:1–15:8. DOI: 10.1145/3002151.3002154.
  12. Debra M. Wolf, John Wenskovitch, and Bonnie B. Anton. “Nurses’ Use of the Internet and Social Media: Does Age, Years of Experience and Educational Level Make a Difference?” Journal of Nursing Education and Practice, 6(2) (2016), pp. 68–75. DOI: https://doi.org/10.5430/jnep.v6n2p68. Journal Impact Factor: 7.86.
  13. John Wenskovitch, Leonard A. Harris, Jose-Juan Tapia, James R. Faeder, and G. Elisabeta Marai. “MOSBIE: A Tool for Comparison and Analysis of Rule-Based Biochemical Models,” BMC Bioinformatics, 15(1) (2014), pp. 316–331. DOI: 10.1186/1471-2105-15-316. Journal Impact Factor: 2.213.
  14. Timothy Luciani, John Wenskovitch, Koonwah Chen, David Koes, Timothy Travers, and G. Elisabeta Marai. “FixingTIM: Interactive Exploration of Sequence and Structural Data to Identify Functional Mutations in Protein Families,” BMC Proceedings, 8(2) (2014), S3. DOI: 10.1186/1753-6561-8-S2-S3. Journal Impact Factor: 1.46.
  15. Chad Rittle, Yolanda C. Lang, and John Wenskovitch. “Tdap: The Need to Educate and Immunize,” Workplace Health & Safety, 62(11) (2014), pp. 468–475. Journal Impact Factor: 1.029.
  16. Debra M. Wolf, Bonnie B. Anton, and John Wenskovitch. “Promoting Health and Safety Virtually: Key Recommendations for Occupational Health Nurses,” Workplace Health & Safety, 62(7) (2014), pp. 302–306. Journal Impact Factor: 1.029.
  17. Debra M. Wolf, Bonnie B. Anton, and John Wenskovitch. “Using Nurse Survey Data to Empower Patients,” Journal of Healthcare Information Management, 28(1) (2014), pp. 58–65.
  18. John Wenskovitch, Tim Luciani, Koonwah Chen, and G. Elisabeta Marai. “Fixing TIM: Identifying Functional Mutations in Protein Families through the Interactive Exploration of Sequence and Structural Data,” in BioVis 2013 Data Contest. BioVis ’13. Atlanta, GA, 2013. [Vis Experts’ Pick for Best Contest Submission].

Peer-Reviewed Workshop Publications:

  1. John Wenskovitch, Michelle Dowling, Laura Grose, Chris North, Remco Chang, Alex Endert, and David H. Rogers. “Machine Learning from User Interaction for Visualization and Analytics: A Workshop-Generated Research Agenda,” in Proceedings of the IEEE VIS Workshop MLUI 2019: Machine Learning from User Interactions for Visualization and Analytics. VIS’19. Vancouver, BC, Canada, 2019.
  2. Yali Bian, John Wenskovitch, and Chris North. “DeepVA: Bridging Cognition and Computation through Semantic Interaction and Deep Learning,” in Proceedings of the IEEE VIS Workshop MLUI 2019: Machine Learning from User Interactions for Visualization and Analytics. VIS’19. Vancouver, BC, Canada, 2019.
  3. John Wenskovitch and Chris North. “Machine Learning from Interaction in Multi-Model Visual Analytics,” in Proceedings of the ACM CHI Conference Workshop on Human-Centered Machine Learning Perspectives. CHI’19. Glasgow, UK, 2019.
  4. Michelle Dowling, John Wenskovitch, Peter Hauck, Adam Binford, Nicholas Polys, and Chris North. “A Bidirectional Pipeline for Semantic Interaction,” in Proceedings of the IEEE VIS Workshop on Machine Learning from User Interaction for Visualization and Analytics. VIS’18. Berlin, Germany, 2018. (Supplementary Material)
  5. John Wenskovitch, Michelle Dowling, and Chris North. “The Cognitive and Computational Benefits and Limitations of Clustering for Sensemaking,” in Proceedings of the ACM CHI Workshop on Sensemaking in a Senseless World. CHI’18. Montreal, QC, Canada, 2018. Long Presentation Rate: 20.8%.
  6. John Wenskovitch and Chris North. “Observation-Level Interaction with Clustering and Dimension Reduction Algorithms,” in Proceedings of the 2nd Workshop on Human-In-the-Loop Data Analytics. HILDA’17. Chicago, IL, USA: ACM, 2017, 14:1–14:6. DOI: 10.1145/3077257.3077259.

Peer-Reviewed Conference Posters and Presentation Abstracts:

  1. John Wenskovitch and Byron Rich. “Pulsar to Person (P2P): Data Visualization and Sonification to Experience the Universe,” in European Week of Astronomy and Space Science 2019. EWASS’19. Lyon, France, 2019.
  2. Lata Kodali, John Wenskovitch, Nathan Wycoff, Leanna House, and Chris North. “Uncertainty in Interactive WMDS Visualizations,” in 2019 Symposium on Visualization in Data Science. VDS’19. Vancouver, BC, Canada, 2019.
  3. John Wenskovitch, Michelle Dowling, and Chris North. “Simultaneous Interaction with Dimension Reduction and Clustering Projections,” in Proceedings of the 24th International Conference on Intelligent User Interfaces: Companion. IUI ’19. Marina del Rey, California: ACM, 2019, pp. 89–90. DOI: 10.1145/3308557.3308718.
  4. John Wenskovitch. “Dimension Reduction and Clustering Algorithm Combinations for Exploratory Data Analysis,” in 2018 IEEE VIS Doctoral Colloquium Compendium. Berlin, Germany, 2018.
  5. Byron Rich and John Wenskovitch. “Embodied Astronomical Phenomenon: Using Art to Access Astronomy,” in European Week of Astronomy and Space Science 2018. EWASS’18. Liverpool, UK, 2018.
  6. John Wenskovitch and Chris North. “Visual Analytics and Semantic Interaction to Explore Astronomical Data,” in European Week of Astronomy and Space Science 2018. EWASS’18. Liverpool, UK, 2018.
  7. Kimberly Olszewski, John Wenskovitch, and Debra Wolf. “Preparing for the Future: Where Are You with Total Worker Health?” in 2018 NSC Congress & Expo. Houston, TX, 2018.
  8. Kimberly Olszewski, Debra Wolf, and John Wenskovitch. “Total Worker Health…. Where are we? Where do we need to be?” in AAOHN 2018 National Conference. Reno, NV, 2018.
  9. John Wenskovitch, James C. Lombardi Jr., and Roger W.M. Hatfull. “A Computer Science Perspective on the Astronomy Research Software Process,” in European Week of Astronomy and Space Science (EWASS) 2017. Prague, CZ, 2017.
  10. Debra Wolf, Bonnie Anton, and John Wenskovitch. “Empowering Patients to Use the WWW Safely to Make Decisions Regarding Their Health,” in 18th International Conference on Nursing and Healthcare. Irving, TX, 2016.
  11. John Wenskovitch, Leonard Harris, James Faeder, and G. Elisabeta Marai. “A Journaling System for Rule-Based Biochemical Models,” in IEEE BioVis Poster Abstracts with System Demonstration. Atlanta, GA, 2013.
  12. Scott Rothenberger, John Wenskovitch, and G. Elisabeta Marai. “Pexel and Heatmap Visual Analysis of Multidimensional Gun/Homicide Data,” in IEEE Visualization VAST Poster Compendium. Providence, RI, 2011, pp. 297–298. DOI: 10.1109/VAST.2011.6102482.