David Fuhry
- Signal Processing top 5%
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence top 10%
- Information Systems top 10%
- Co-authors
- Ruoming JinYang XiangNing RuanFeodor F. DraganSrinivasan ParthasarathyDonghui ZhangHemant PurohitYiye Ruan
- Topics
- Data Management and Algorithms (7 papers)Data Mining Algorithms and Applications (5 papers)Graph Theory and Algorithms (2 papers)
- Journals
- Data Mining and Knowledge DiscoveryNetwork Modeling Analysis in Health Informatics and BioinformaticsFedUni ResearchOnline (Federation University Australia)
- Partner nations
- United StatesUnited KingdomBrazil
In The Last Decade
David Fuhry
11 papers receiving 282 citations
Peers
Comparison fields: 5 of 43
- Signal Processing 153
- Computer Networks and Communications 144
- Computer Vision and Pattern Recognition 94
- Artificial Intelligence 94
- Information Systems 71
Countries citing papers authored by David Fuhry
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
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 of co-authors of David Fuhry
This figure shows the co-authorship network connecting the top 25 collaborators of David Fuhry. A scholar is included among the top collaborators of David Fuhry 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 David Fuhry. David Fuhry is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 5 | |
| 3 | 6 | |
| 4 | 15 | |
| 5 | Prediction of Topic Volume on Twitter | 8 |
| 6 | 10 | |
| 7 | 38 | |
| 8 | 26 | |
| 9 | 138 | |
| 10 | 25 | |
| 11 | 11 |
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) and Graph Theory and Algorithms (2 papers). 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.