John G. Hughes
- Information Systems top 2%
- Artificial Intelligence top 5%
- Computer Networks and Communications top 10%
- Signal Processing top 10%
- Computational Theory and Mathematics top 5%
- Co-authors
- David BellSarabjot Singh AnandJianhan ZhuJun HongMaurice MulvennaMatthias BaumgartenWerner DubitzkyPearl Pu
- Topics
- Data Mining Algorithms and Applications (13 papers)AI-based Problem Solving and Planning (9 papers)Rough Sets and Fuzzy Logic (9 papers)
- Partner nations
- United KingdomUnited StatesRussia
In The Last Decade
John G. Hughes
47 papers receiving 515 citations
Peers
Comparison fields: 5 of 103
- Information Systems 260
- Artificial Intelligence 213
- Computer Networks and Communications 119
- Signal Processing 94
- Computational Theory and Mathematics 92
Countries citing papers authored by John G. Hughes
This map shows the geographic impact of John G. Hughes'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 John G. Hughes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John G. Hughes more than expected).
Fields of papers citing papers by John G. Hughes
This network shows the impact of papers produced by John G. Hughes. 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 John G. Hughes. The network helps show where John G. Hughes may publish in the future.
Co-authorship network of co-authors of John G. Hughes
This figure shows the co-authorship network connecting the top 25 collaborators of John G. Hughes. A scholar is included among the top collaborators of John G. Hughes 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 John G. Hughes. John G. Hughes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 1 | |
| 4 | Tree Growth Based Episode Mining without Candidate Generation. | 2 |
| 5 | Tree-Growth based Sequential and Associative Pattern Discovery. | 0 |
| 6 | 25 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | Analysis and interpolation of complex HPLC/MS spectra for drug discovery | 1 |
| 10 | 9 | |
| 11 | An Internet-enabled Knowledge Discovery Process | 21 |
| 12 | 24 | |
| 13 | Knowledge intensive exception spaces | 9 |
| 14 | Corporate evidential decision making in performance prediction domains | 5 |
| 15 | Aggregating features and matching cases on vague linguistic expressions | 8 |
| 16 | The Application Of Case Based Reasoning To The Interpretation Of Financial Data For Acquisition Analysis | 1 |
| 17 | Re-engineering Business Processes to Facilitate Data Mining | 3 |
| 18 | 2 | |
| 19 | Job cost and constraint relaxation for scheduling problem solving in the CLP paradigm | 1 |
| 20 | Database mining in the architecture of a semantic pre-processor for state-aware query optimization | 2 |
About John G. Hughes
John G. Hughes is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications, having authored 55 papers that have together received 568 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (13 papers), AI-based Problem Solving and Planning (9 papers) and Rough Sets and Fuzzy Logic (9 papers). The work is most often cited by research in Information Systems (260 citations), Signal Processing (94 citations) and Artificial Intelligence (213 citations). John G. Hughes has collaborated with scholars based in United Kingdom, United States and Russia. Frequent co-authors include David Bell, Sarabjot Singh Anand, Jianhan Zhu, Jun Hong, Maurice Mulvenna, Matthias Baumgarten, Werner Dubitzky, Pearl Pu, Ming Tan and Jun Hong. Their work appears in journals such as Knowledge-Based Systems, European Polymer Journal and Rapid Communications in Mass Spectrometry.
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.