Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
The state of the art in online handwriting recognition
1990599 citationsCharles C. Tappert et al.profile →
Citations per year, relative to Charles C. Tappert Charles C. Tappert (= 1×)
peers
Rubén Tolosana
Countries citing papers authored by Charles C. Tappert
Since
Specialization
Citations
This map shows the geographic impact of Charles C. Tappert'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 Charles C. Tappert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charles C. Tappert more than expected).
Fields of papers citing papers by Charles C. Tappert
This network shows the impact of papers produced by Charles C. Tappert. 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 Charles C. Tappert. The network helps show where Charles C. Tappert may publish in the future.
Co-authorship network of co-authors of Charles C. Tappert
This figure shows the co-authorship network connecting the top 25 collaborators of Charles C. Tappert.
A scholar is included among the top collaborators of Charles C. Tappert 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 Charles C. Tappert. Charles C. Tappert is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Monaco, John V. & Charles C. Tappert. (2016). The Partially Observable Hidden Markov Model with Application to Keystroke Biometrics.. arXiv (Cornell University).3 indexed citations
6.
Tappert, Charles C., et al.. (2012). Adapting to Change in a Masters-Level Real-World-Projects Capstone Course. Information Systems Education Journal. 10(6). 25–37.4 indexed citations
Tappert, Charles C., et al.. (2009). Assessment of Student Work on Geographically Distributed Information Technology Project Teams. E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education. 2009(1). 2011–2018.
9.
Tappert, Charles C.. (2009). Pedagogical Issues in Managing Information Technology Projects Conducted by Geographically Distributed Student Teams. Society for Information Technology & Teacher Education International Conference. 2009(1). 543–550.2 indexed citations
10.
Cha, Sung-Hyuk & Charles C. Tappert. (2008). Constructing Binary Decision Trees using Genetic Algorithms.. 49–54.7 indexed citations
11.
Tappert, Charles C.. (2007). The Interplay of Student Projects and Student-Faculty Research. E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education. 2007(1). 1879–1886.3 indexed citations
12.
Tappert, Charles C., et al.. (2006). Long-text keystroke biometric applications over the internet. 119–126.8 indexed citations
13.
Gibbons, Michael C., et al.. (2005). Analyzing Open Biometric Identification Systems.. 111–118.1 indexed citations
14.
Cha, Sung-Hyuk, et al.. (2005). Applying Artificial Intelligence Techniques to Problems of Incomplete Information: Optimizing Bidding in the Game of Bridge. International Conference on Artificial Intelligence. 385–392.1 indexed citations
Cha, Sung-Hyuk, et al.. (2004). Interactive Flag Identification Using Image Retrieval Techniques.. 441–445.8 indexed citations
17.
Cha, Sung-Hyuk, et al.. (2004). Use of Histogram Distances in Iris Authentication.. International Conference on Artificial Intelligence. 1023–1027.9 indexed citations
18.
Cha, Sung-Hyuk, et al.. (2004). Interactive Flag Identification. Pace Digital Repository (Pace University).1 indexed citations
19.
Tappert, Charles C., et al.. (2002). A pervasive computing solution to asset, problem and knowledge management. E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education. 2002(1). 1689–1692.3 indexed citations
20.
Tappert, Charles C.. (2002). Students Develop Real-World Web and Pervasive Computing Systems. E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education. 2002(1). 937–944.4 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.