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.
Mobile App Rating Scale: A New Tool for Assessing the Quality of Health Mobile Apps
20151.5k citationsStoyan Stoyanov, Leanne Hides et al.JMIR mhealth and uhealthprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Dian Tjondronegoro
Since
Specialization
Citations
This map shows the geographic impact of Dian Tjondronegoro'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 Dian Tjondronegoro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dian Tjondronegoro more than expected).
Fields of papers citing papers by Dian Tjondronegoro
This network shows the impact of papers produced by Dian Tjondronegoro. 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 Dian Tjondronegoro. The network helps show where Dian Tjondronegoro may publish in the future.
Co-authorship network of co-authors of Dian Tjondronegoro
This figure shows the co-authorship network connecting the top 25 collaborators of Dian Tjondronegoro.
A scholar is included among the top collaborators of Dian Tjondronegoro 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 Dian Tjondronegoro. Dian Tjondronegoro is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Tjondronegoro, Dian, et al.. (2018). Deep learning for energy expenditure prediction in pre-school children. QUT ePrints (Queensland University of Technology).6 indexed citations
Xu, Yue, et al.. (2018). User profile ontology to support personalization for e-coaching systems. QUT ePrints (Queensland University of Technology). 2482.5 indexed citations
Porter‐Steele, Janine, Dian Tjondronegoro, Charrlotte Seib, Leonie S. Young, & Debra Anderson. (2017). Not one size fits all': A brief review of models of care for women with breast cancer in Australia. Griffith Research Online (Griffith University, Queensland, Australia). 41(1). 13.4 indexed citations
Stoyanov, Stoyan, Leanne Hides, David J. Kavanagh, et al.. (2015). Mobile App Rating Scale: A New Tool for Assessing the Quality of Health Mobile Apps. JMIR mhealth and uhealth. 3(1). e27–e27.1467 indexed citations breakdown →
10.
Fitz-Walter, Zachary, Peta Wyeth, Dian Tjondronegoro, & Bridie Scott‐Parker. (2013). Driven to drive : designing gamification for a learner logbook smartphone application. QUT ePrints (Queensland University of Technology).
11.
Tjondronegoro, Dian, et al.. (2012). Human–computer interaction : the impact of users’cognitive styles on query reformulation behaviourduring web searching. QUT ePrints (Queensland University of Technology).2 indexed citations
12.
Xu, Yue, et al.. (2012). Product reputation model : an opinion mining basedapproach. QUT ePrints (Queensland University of Technology). 16–27.6 indexed citations
13.
Fitz-Walter, Zachary, et al.. (2012). Mystery at the library : encouraging library exploration using a pervasive mobile game. QUT ePrints (Queensland University of Technology).3 indexed citations
14.
Lau, Cher Han, Yuefeng Li, & Dian Tjondronegoro. (2011). Microblog Retrieval Using Topical Features and Query Expansion.. Text REtrieval Conference.19 indexed citations
15.
Fitz-Walter, Zachary & Dian Tjondronegoro. (2011). Exploring the opportunities and challenges of using mobile sensing for gamification and achievements. Science & Engineering Faculty.1 indexed citations
16.
Tjondronegoro, Dian, et al.. (2010). The impact of users’ cognitive style on their navigational behaviors in web searching. QUT ePrints (Queensland University of Technology). 73(2). 81–93.8 indexed citations
17.
Tseng, Jack, Dian Tjondronegoro, & Amanda Spink. (2009). Analysing Web Multimedia Query Reformulation Behaviour. QUT ePrints (Queensland University of Technology).1 indexed citations
18.
Lau, Andy M., Dian Tjondronegoro, Jinglan Zhang, Shlomo Geva, & Yuee Liu. (2007). Fusing Visual and Textual Retrieval Techniques to Effectively Search Large Collections of Wikipedia Images. Lecture notes in computer science.2 indexed citations
19.
Tjondronegoro, Dian, et al.. (2007). Multimedia Web Searching on a Meta-Search Engine. QUT ePrints (Queensland University of Technology). 80–83.1 indexed citations
20.
Tjondronegoro, Dian, Yi‐Ping Phoebe Chen, & Binh Pham. (2005). Extraction and Classification of Self-consumable Sport Video Highlights Using Generic HMM. Deakin Research Online (Deakin University). 200–203.1 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.