Roy Goldman

2.5k citations
13 papers · 1.4k · 1 hit paper · h-index 8

Impact in

Papers in

Roy Goldman

12 papers receiving 1.2k citations

Roy Goldman's Hit Papers

DataGuides: Enabling Query Formulation and Optimization in Semistructured Databases 1997 · 629 citations
6290+9+19Years since publication200400600

Peers

Roy Goldman
Comparison fields: 5 of 47
  • Signal Processing 875
  • Computer Networks and Communications 1.2k
  • Artificial Intelligence 958
  • Information Systems 404
  • Information Systems and Management 46
Replace Bradford W. Wade with:
Bradford W. Wade United States
Patricia G. Selinger United States
Jérǒme Simèon United States
Z. Meral Özsoyoğlu United States
Tok Wang Ling Singapore
Tom Price United States
José A. Blakeley United States
Donovan A. Schneider United States
Torsten Grust Germany
Jan Paredaens Belgium
Roy Goldman relative to Bradford W. Wade United States Bradford W. Wade's profile →
Citations per field
00.5×1.5×
Bradford W. Wade · 1×
Citations per year

Countries citing papers authored by Roy Goldman

Since Specialization
Citations

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

Fields of papers citing papers by Roy Goldman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Roy Goldman, 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 Roy Goldman Line = papers co-authored together Roy Goldman links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1
DataGuides: Enabling Query Formulation and Optimization in Semistructured Databases
Hit paper breakdown →
1997629
2 1997327
3 2000155
4
Proximity Search in Databases
1998135
5 200072
6 200038
7 199633
8
Views for Semistructured Data
199728
9
A Standard Textual Interchange Format for the Object Exchange Model (OEM)
19987
10 19965
11
Interactive query and search in semistructured databases
19983
12
Summarizing and Searching Sequential Semistructured Sources
20003
13
Integrated query and search of databases, XML, and the web
20003

About Roy Goldman

Roy Goldman is a scholar working on Computer Networks and Communications, Signal Processing, Artificial Intelligence, Information Systems and General Health Professions, having authored 13 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (11 papers), Data Management and Algorithms (9 papers), Semantic Web and Ontologies (4 papers), Web Data Mining and Analysis (2 papers), Algorithms and Data Compression (2 papers), Hermeneutics and Narrative Identity (1 paper), Health, Medicine and Society (1 paper) and Aging, Elder Care, and Social Issues (1 paper). The work is most often cited by research in Signal Processing (875 citations), Computer Networks and Communications (1.2k citations), Artificial Intelligence (958 citations), Information Systems (404 citations) and Information Systems and Management (46 citations). Roy Goldman has collaborated with scholars based in United States. Frequent co-authors include Jennifer Widom, Jason McHugh, Serge Abiteboul, Narayanan Shivakumar, Suresh Venkatasubramanian, Héctor García-Molina, Vasilis Vassalos, Svetlozar Nestorov, Anand Rajaraman and Jeff Ullman. Their work appears in journals such as ACM SIGMOD Record and Very Large Data Bases.

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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