William Hoiles

409 citations
18 papers · 271 · h-index 9

Impact in

Papers in

William Hoiles

18 papers receiving 266 citations

Peers

William Hoiles
Comparison fields: 5 of 62
  • Computer Networks and Communications 111
  • Statistical and Nonlinear Physics 40
  • Computational Mathematics 1
  • Information Systems 36
  • Computer Science Applications 8
Replace Fangfang Liu with:
Fangfang Liu China
Xuying Meng China
Jiexing Li China
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Citations per field
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Citations per year

Countries citing papers authored by William Hoiles

Since Specialization
Citations

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

Fields of papers citing papers by William Hoiles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William Hoiles. 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 William Hoiles. The network helps show where William Hoiles may publish in the future.

Co-authors

The 7 scholars most cited alongside William Hoiles, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with William Hoiles Line = papers co-authored together William Hoiles links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 201785
2 201750
3 201425
4 201423
5 201517
6 201213
7 201410
8 201610
9
Bounded Off-Policy Evaluation with Missing Data for Course Recommendation and Curriculum Design
20169
10 20146
11 20185
12 20164
13 20154
14 20183
15
A Non-parametric Learning Method for Confidently Estimating Patient's Clinical State and Dynamics
20163
16 20162
17 20141
18 20121

About William Hoiles

William Hoiles is a scholar working on Statistical and Nonlinear Physics, Management Science and Operations Research, Biomedical Engineering, Computer Networks and Communications and Molecular Biology, having authored 18 papers that have together received 271 indexed citations. Recurring topics across this work include Game Theory and Applications (4 papers), Complex Network Analysis Techniques (4 papers), Microfluidic and Bio-sensing Technologies (3 papers), Lipid Membrane Structure and Behavior (3 papers), Caching and Content Delivery (3 papers), Opinion Dynamics and Social Influence (3 papers), Nanopore and Nanochannel Transport Studies (2 papers) and Microbial Inactivation Methods (2 papers). The work is most often cited by research in Computer Networks and Communications (111 citations), Statistical and Nonlinear Physics (40 citations), Computational Mathematics (1 citation), Information Systems (36 citations) and Computer Science Applications (8 citations). William Hoiles has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Vikram Krishnamurthy, Bruce Cornell, Charles G. Cranfield, Mihaela van der Schaar, Omid Namvar Gharehshiran, Ngọc-Dũng Đào and R. N. Gupta. Their work appears in journals such as IEEE Access, IEEE Transactions on Smart Grid, IEEE Transactions on Cloud Computing, PLoS ONE and IEEE Transactions on Knowledge and Data Engineering.

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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