David Fuhry

786 citations
11 papers · 290 indexed · h-index 9
Journals
Data Mining and Knowledge Discovery (1 paper)Network Modeling Analysis in Health Informatics and Bioinformatics (1 paper)FedUni ResearchOnline (Federation University Australia) (1 paper)

In The Last Decade

David Fuhry

11 papers receiving 282 citations

Peers

David Fuhry
Comparison fields: 5 of 43
  • Signal Processing 153
  • Computational Mathematics 8
  • Computer Networks and Communications 144
  • Computer Vision and Pattern Recognition 94
  • Statistical and Nonlinear Physics 45
Replace Dong Wen with:
Dong Wen Australia
Zhenying He China
Brigitte Boden Germany
Hilmi Yıldırım United States
Albert Angel Canada
Nikos Sarkas Canada
Liwen Sun United States
Davide Mottin Denmark
Eirinaios Michelakis United States
Alessandro Roncato Italy
David Fuhry relative to Dong Wen Australia Dong Wen's profile →
Citations per field
00.5×10.5×
Dong Wen · 1×
Citations per year

Countries citing papers authored by David Fuhry

Since Specialization
Citations

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

Fields of papers citing papers by David Fuhry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 18 scholars most cited alongside David Fuhry, 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 David Fuhry Line = papers co-authored together David Fuhry links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 20168
2 20165
3 20156
4 201415
5
Prediction of Topic Volume on Twitter
20128
6 201210
7 201038
8 200926
9 2009138
10 200825
11 200811

About David Fuhry

David Fuhry is a scholar working on Signal Processing, Information Systems and Physical Therapy, Sports Therapy and Rehabilitation, having authored 11 papers that have together received 290 indexed citations. Recurring topics across this work include Data Management and Algorithms (7 papers), Data Mining Algorithms and Applications (5 papers), Graph Theory and Algorithms (2 papers), Advanced Database Systems and Queries (2 papers), Complex Network Analysis Techniques (2 papers), Rough Sets and Fuzzy Logic (2 papers), Opinion Dynamics and Social Influence (2 papers) and Social Media and Politics (1 paper). The work is most often cited by research in Signal Processing (153 citations), Computational Mathematics (8 citations) and Computer Networks and Communications (144 citations). David Fuhry has collaborated with scholars based in United States, United Kingdom and Brazil. Frequent co-authors include Ruoming Jin, Yang Xiang, Ning Ruan, Feodor F. Dragan, Yang Xiang, Srinivasan Parthasarathy, Donghui Zhang, Hemant Purohit, Yiye Ruan and Amit Sheth. Their work appears in journals such as Data Mining and Knowledge Discovery, Network Modeling Analysis in Health Informatics and Bioinformatics and FedUni ResearchOnline (Federation University Australia).

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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