Visual overviews for discovering key papers and influences across research fronts

Journal of the American Society for Information Science and Technology

Volumn 60, Issue 11, 2009, Pages 2219-2228

  Aris, Aleks ^a   Shneiderman, Ben ^a   Qazvinian, Vahed ^b   Radev, Dragomir ^b  

^a University of Maryland ^*  (United States)

^b UNIVERSITY OF MICHIGAN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DOMAIN EXPERTS; INTERDISCIPLINARY COLLABORATIONS; MULTIPLE REGIONS; RESEARCH FRONT; SUB-DISCIPLINES; TEMPORAL PATTERN; TWO-DIMENSIONAL LAYOUT; USER CONTROL; VISUALIZATION TOOLS;

PAPER; TECHNICAL WRITING;

RESEARCH;

EID: 70349908009     PISSN: 15322882     EISSN: 15322890     Source Type: Journal    
DOI: 10.1002/asi.21160     Document Type: Article

References (42)

1. Aris, A., & Shneiderman, B. (2007). Designing semantic substrates for visual network exploration. Information Visualization, 6(4), 281-300.
2. Börner, K., Chen, C., & Boyack, K. (2003). Visualizing knowledge domains. In B. Cronin (Ed.), Annual review of information science & technology (Vol. 37, pp. 179-255). Medford, NJ: Information Today, Inc./American Society for Information Science and Technology.
3. Bradshaw, S. (2002). Reference directed indexing: Indexing scientific literature in the context of its use. Unpublished doctoral dissertation, Northwestern University.
4. Bradshaw, S. (2003). Reference directed indexing: Redeeming relevance for subject search in citation indexes. In Proceedings of the 7th European Conference on Research and Advanced Technology for Digital Libraries (pp. 499-510).
5. Buckingham Shum, S., Uren, V., Li, G., Domingue, J., & Motta, E. (2003). Visualizing internetworked argumentation. In P.A. Kirschner, S. Buckingham Shum, & C.S. Carr (Eds.), Visualizing argumentation: Software tools for collaborative and educational sense-making (pp. 185-204). London: Springer-Verlag.
6. Card, S.K., Mackinlay, J.D., & Shneiderman, B. (1999). Readings in information visualization: Using vision to think. San Francisco: Kaufmann.
7. Carr, C.S. (2003). Using computer supported argument visualization to teach legal argumentation. In P.A. Kirschner, S. Buckingham Shum, & C.S. Carr (Eds.), Visualizing argumentation: Software tools for collaborative and educational sense-making (pp. 75-96). London: Springer-Verlag.
8. Chen, C. (2003). Mapping scientific frontiers: The quest for knowledge visualization. Berlin: Springer.
9. Chen, C. (2004a). Information visualization: Beyond the horizon (2nd ed.). London: Springer.
10. Chen, C. (2004b). Searching for intellectual turning points: Progressive knowledge domain visualization. Proceedings of the National Academy of Sciences, USA, 101(Suppl.), 5303-5310.
11. Chen, C. (2006). CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature. Journal of the American Society for Information Science and Technology, 57(3), 359-377.
12. Elkiss, A., Shen, S., Fader, A., Güneş., E., States, D., & Radev, D.R. (2008). Blind men and elephants: What do citation summaries tell us about a research article? Journal of the American Society for Information Science and Technology, 59(1), 51-62.
13. Garfield, E. (2004). Historiographic mapping of knowledge domains literature. Journal of Information Science, 30(2), 119-145.
14. Garfield, E., Pudovkin, A.I., & Istomin, V.I. (2003a). Mapping the output of topical searches in the Web of Knowledge and the case of Watson-Crick. Information Technology and Libraries, 22(4), 183-187.
15. Garfield, E., Pudovkin, A.I., & Istomin, V.I. (2003b). Why do we need algorithmic historiography? Journal of the American Society for Information Science and Technology, 54(5), 400-412. Retrieved June 22, 2009, from http://garfield.library.upenn.edu/papers/jasist545400y2003.pdf
16. Ginsparg, P., Houle, P., Joachims, T., & Sul, J.-H. (2004). Mapping subsets of scholarly information. Proceedings of the National Academy of Sciences, USA, 101,5236-5340.
17. Hall, D., Jurafsky, D., & Manning, C.D. (2008). Studying the history of ideas using topic models. Proceedings of the Conference on Empirical Methods in Natural Language Processing, Association for Computational Linguistics (pp. 363-371).
18. Henry, N., Goodell, H., Elmqvist, N., & Fekete, J.-D. (2007). 20 years of four HCI Conferences: A visual exploration. International Journal of Human- Computer Interaction, 23(3), 239-285. Retrieved June 22, 2009, from http://dx.doi.org/10.1080/10447310701702402
19. Joseph, M.T., & Radev, D.R. (2007). Citation analysis, centrality, and the ACL Anthology. Tech. Report No. CSE-TR-535-07, University of Michigan, Department of Electrical Engineering and Computer Science.
20. Leicht, E.A., Clarkson, G., Shedden, K., & Newman, M.E.J. (2007). Large- scale structure of time evolving citation networks. European Physics Journal B, 59, 75-83.
21. Morris, S., & Martens, B. (2007). Mapping research specialties. Annual Review of Information Science, 42.
22. Morris, S.A.,Yen, G., Zheng, W., & Asnake, B. (2003). Timeline visualization of research fronts. Journal of the American Society for Information Science and Technology, 54(5), 413-422.
23. Nanba, H., Abekawa, T., Okumura, M., & Saito, S. (2004a). Bilingualpresri: Integration of multiple research paper databases. In Proceedings of the RIAO (pp. 195-211), Avignon, France.
24. Nanba, H., Kando, N., & Okumura, M. (2004b). Classification of research papers using citation links and citation types: Towards automatic review article generation. In Proceedings of the 11th SIG Classification Research Workshop (pp. 117-134), Chicago.
25. Nanba, H., & Okumura, M. (1999). Towards multidocument summarization using reference information. Proceedings of the International Joint Conference on Artificial Intelligence (pp. 926-931), Stockholm.
26. Newman, M.E.J. (2001). The structure of scientific collaboration networks. Proceedings of the National Academy of Sciences, USA, 98(2), 404-409.
27. Perer, A., & Shneiderman, B. (2008). Integrating statistics and visualization: Case studies of gaining clarity during exploratory data analysis. In Proceedings of the ACM CHI2008 Conference (pp. 265-274). New York: ACM Press.
28. Plaisant, C. (2004). The challenge of information visualization evaluation. In Proceedings of the Conference on Advanced Visual Interfaces (pp. 109-116). New York: ACM Press.
29. Qazvinian, V., & Radev, D.R. (2008). Scientific paper summarization using citation summary networks. In Proceedings of the International Conference on Computational Linguistics (pp. 689-696). Stroudsburg, PA: Association for Computational Linguistics.
30. Saraiya, P., North, C., & Duca, K. (2005). An insight-based methodology for evaluating bioinformatics visualization. IEEE Transactions on Visualization and Computer Graphics, 11(4), 443-456.
31. Shiffrin, R.M., & Börner, K. (2004). Mapping knowledge domains. Proceedings of the National Academy of Sciences, USA, 101, 5183-5185. 11(4), 443-456.
32. Shneiderman, B. (1992). Tree visualization with tree-maps: 2-d space-filling approach. ACM Transactions on Graphics, 11(1), 92-99.
33. Shneiderman, B., & Aris, A. (2006). Network visualization by semantic substrates. Proceedings of IEEE Visualization/Information Visualization, IEEE Transactions on Visualization and Computer Graphics, 12(5), 733-740.
34. Shneiderman, B., & Plaisant, C. (2006). Strategies for evaluating information visualization tools: Multi-dimensional in-depth long-term case studies. In Proceedings of the BELIV'06 Workshop, Advanced Visual Interfaces Conference (pp. 1-7), Venice, Italy. New York: ACM Press.
35. Small, H. (2005). Paradigms, citations, and maps of science: A personal history. Journal of the American Society for Information Science and Technology, 54(5), 394-399.
36. Sugiyama, K. (1987). A cognitive approach for graph drawing. Cybernetics and Systems, 18(6), 447-488.
37. Sugiyama, K., Tagawa, S., & Toda, M. (1981). Methods for visual understanding of hierarchical system structures. IEEE Transactions on Systems, Man and Cybernetics SMC 11(2), 109-125.
38. Teufel, S., & Moens, M. (2002). Summarizing scientific articles: Experiments with relevance and rhetorical status. Computational Linguistics, 28(4), 409-445.
39. Teufel, S., Siddharthan, A., & Tidhar, D. (2006). Automatic classification of citation function. In Proceedings of the Empirical Methods in Natural Language Processing, (pp. 103-110). Burwood, Australia: BPA Digital.
40. Thomas, J.J., & Cook, K.A. (Eds.). (2005). Illuminating the path: Research and development agenda for visual analytics. Los Alamitos, CA: IEEE Press.
41. Thomson Corporation. (2008). Essential science indicators: Emerging research fronts. Retrieved June 22, 2009, from http://esi-topics.com/erf/
42. Uren, V., Buckingham Shum, S., Bachler, M., & Li, G. (2006). Sensemaking tools for understanding research literatures: Design, implementation and userevaluation. InternationalJournalofHuman-ComputerStudies, 64(5), 420-445.