Jack Orenstein

2.6k citations
27 papers · 2.1k · h-index 16

Impact in

Papers in

Jack Orenstein

27 papers receiving 1.8k citations

Peers

Jack Orenstein
Comparison fields: 5 of 63
  • Signal Processing 1.5k
  • Computer Networks and Communications 1.5k
  • Geography, Planning and Development 339
  • Computer Graphics and Computer-Aided Design 203
  • Hardware and Architecture 137
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Chee-Yong Chan Singapore
Viswanath Poosala United States
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Jarek Gryz Canada
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Paolo Ciaccia Italy
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Citations per field
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Citations per year

Countries citing papers authored by Jack Orenstein

Since Specialization
Citations

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

Fields of papers citing papers by Jack Orenstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside Jack Orenstein, 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 Jack Orenstein Line = papers co-authored together Jack Orenstein links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991427
2 1986324
3 1984304
4 1988219
5 1986159
6 1989116
7 1982102
8 198984
9 199079
10 199249
11
Toward a General Spatial Data Model for an Object-Oriented DBMS
198645
12 198745
13 198430
14 198724
15 199122
16
A Dynamic Hash File for Random and Sequential Accessing
198317
17 199013
18
Algorithms and data structures for the implementation of a relational database system
198310
19 199010
20
Accessing a Relational Database through an Object-Oriented Database Interface
19955

About Jack Orenstein

Jack Orenstein is a scholar working on Computer Networks and Communications, Signal Processing, Artificial Intelligence, Geography, Planning and Development and Information Systems, having authored 27 papers that have together received 2.1k indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (19 papers), Data Management and Algorithms (17 papers), Geographic Information Systems Studies (8 papers), Distributed systems and fault tolerance (5 papers), Semantic Web and Ontologies (4 papers), Advanced Data Storage Technologies (3 papers), Algorithms and Data Compression (3 papers) and Service-Oriented Architecture and Web Services (2 papers). The work is most often cited by research in Signal Processing (1.5k citations), Computer Networks and Communications (1.5k citations), Geography, Planning and Development (339 citations), Computer Graphics and Computer-Aided Design (203 citations) and Hardware and Architecture (137 citations). Jack Orenstein has collaborated with scholars based in United States and Canada. Frequent co-authors include T. H. Merrett, Frank Manola, Umeshwar Dayal, Sandra Heiler, Arnon Rosenthal, Alejandro Buchmann, Upen S. Chakravarthy, A. Biliris and Luc Devroye. Their work appears in journals such as ACM SIGMOD Record, Computer Standards & Interfaces, Communications of the ACM, IEEE Transactions on Software Engineering and BIT Numerical Mathematics.

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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