Jason McHugh
Impact in
- Signal Processing top 0.5%
- Data Management and Algorithms
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- Advanced Database Systems and Queries
- Advanced Data Storage Technologies
Papers in
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- Advanced Database Systems and Queries 15
-
- Data Management and Algorithms 13
- Co-authors
- Jennifer Widom (12 shared papers)Serge Abiteboul (7 shared papers)Janet L. Wiener (4 shared papers)Roy Goldman (6 shared papers)Dallan Quass (3 shared papers)Joachim Hammer (1 shared paper)Héctor García-Molina (1 shared paper)Vasilis Vassalos (2 shared papers)
- Journals
- ACM SIGMOD Record (3 papers)International Journal on Digital Libraries (1 paper)Very Large Data Bases (2 papers)Electronic workshops in computing (1 paper)
- Partner nations
- United States
In The Last Decade
Jason McHugh
17 papers receiving 1.3k citations
Jason McHugh's Hit Papers
Peers
Comparison fields: 5 of 52
- Signal Processing 940
- Computer Networks and Communications 1.4k
- Artificial Intelligence 1.1k
- Information Systems 442
- Information Systems and Management 61
Countries citing papers authored by Jason McHugh
This map shows the geographic impact of Jason McHugh'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 Jason McHugh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason McHugh more than expected).
Fields of papers citing papers by Jason McHugh
This network shows the impact of papers produced by Jason McHugh. 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 Jason McHugh. The network helps show where Jason McHugh may publish in the future.
Co-authors
The 15 scholars most cited alongside Jason McHugh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | The Lorel query language for semistructured data Hit paper breakdown → | 1997 | 587 |
| 2 | 1997 | 327 | |
| 3 | Query Optimization for XML | 1999 | 181 |
| 4 | 2000 | 155 | |
| 5 | 1997 | 72 | |
| 6 | Incremental Maintenance for Materialized Views over Semistructured Data | 1998 | 68 |
| 7 | Indexing Semistructured Data | 1998 | 55 |
| 8 | 1996 | 33 | |
| 9 | Views for Semistructured Data | 1997 | 28 |
| 10 | Compile-Time Path Expansion in Lore | 1998 | 14 |
| 11 | Optimizing Branching Path Expressions | 1999 | 11 |
| 12 | 1997 | 10 | |
| 13 | Query Optimization for Semistructured Data | 1997 | 10 |
| 14 | A Standard Textual Interchange Format for the Object Exchange Model (OEM) | 1998 | 7 |
| 15 | 1996 | 5 | |
| 16 | Data management and query processing for semistructured data | 2000 | 4 |
| 17 | 2010 | 3 |
About Jason McHugh
Jason McHugh is a scholar working on Computer Networks and Communications, Signal Processing, Artificial Intelligence, Surgery and Cardiology and Cardiovascular Medicine, having authored 17 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (15 papers), Data Management and Algorithms (13 papers), Semantic Web and Ontologies (12 papers), Cardiac, Anesthesia and Surgical Outcomes (1 paper), Hemodynamic Monitoring and Therapy (1 paper), Data Mining Algorithms and Applications (1 paper) and Blood Pressure and Hypertension Studies (1 paper). The work is most often cited by research in Signal Processing (940 citations), Computer Networks and Communications (1.4k citations), Artificial Intelligence (1.1k citations), Information Systems (442 citations) and Information Systems and Management (61 citations). Jason McHugh has collaborated with scholars based in United States. Frequent co-authors include Jennifer Widom, Serge Abiteboul, Janet L. Wiener, Roy Goldman, Dallan Quass, Joachim Hammer, Héctor García-Molina, Vasilis Vassalos, Anand Rajaraman and Michael Rys. Their work appears in journals such as ACM SIGMOD Record, International Journal on Digital Libraries, Very Large Data Bases and Electronic workshops in computing.
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.