Jacob Stein
Impact in
-
- Advanced Database Systems and Queries
- Distributed systems and fault tolerance
- Advanced Data Storage Technologies
- Signal Processing top 2%
- Data Management and Algorithms
Papers in
-
- Advanced Database Systems and Queries 11
- Distributed systems and fault tolerance 2
- Peer-to-Peer Network Technologies 1
-
- Semantic Web and Ontologies 4
- Logic, programming, and type systems 2
- Computational Physics and Python Applications 1
- Co-authors
- David Maier (10 shared papers)P. S. Butterworth (1 shared paper)Sharon C. Salveter (2 shared papers)David S. Warren (2 shared papers)Ingrid Nunes (1 shared paper)Elder Cirilo (1 shared paper)
- Journals
- ACM SIGPLAN Notices (2 papers)Communications of the ACM (1 paper)IEEE Transactions on Software Engineering (1 paper)Information Systems (1 paper)MIT Press eBooks (1 paper)
- Partner nations
- United StatesNetherlandsSpain
In The Last Decade
Jacob Stein
15 papers receiving 765 citations
Peers
Comparison fields: 5 of 42
- Computer Networks and Communications 782
- Signal Processing 351
- Artificial Intelligence 498
- Information Systems 275
- Software 37
Countries citing papers authored by Jacob Stein
This map shows the geographic impact of Jacob Stein'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 Jacob Stein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacob Stein more than expected).
Fields of papers citing papers by Jacob Stein
This network shows the impact of papers produced by Jacob Stein. 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 Jacob Stein. The network helps show where Jacob Stein may publish in the future.
Co-authors
The 6 scholars most cited alongside Jacob Stein, 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 | 1986 | 235 | |
| 2 | 1986 | 198 | |
| 3 | 1991 | 118 | |
| 4 | 1987 | 110 | |
| 5 | 1989 | 94 | |
| 6 | Development and implementation of an object-oriented DBMS | 1987 | 55 |
| 7 | 1982 | 31 | |
| 8 | 2014 | 15 | |
| 9 | 1987 | 14 | |
| 10 | 1987 | 11 | |
| 11 | 1985 | 7 | |
| 12 | 1985 | 6 | |
| 13 | Is the Disk Half Full or Half Empty? Combining Optimistic and Pessimistic Concurrency Mechanisms in a Shared, Persistent Object Base | 1987 | 4 |
| 14 | Mistaking identity | 1989 | 2 |
| 15 | 1984 | 2 | |
| 16 | Constraints in the association-object data model | 1987 | 1 |
About Jacob Stein
Jacob Stein is a scholar working on Computer Networks and Communications, Artificial Intelligence, Signal Processing, Information Systems and Information Systems and Management, having authored 16 papers that have together received 903 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (11 papers), Data Management and Algorithms (7 papers), Semantic Web and Ontologies (4 papers), Data Mining Algorithms and Applications (3 papers), Logic, programming, and type systems (2 papers), Distributed systems and fault tolerance (2 papers), Peer-to-Peer Network Technologies (1 paper) and Computational Physics and Python Applications (1 paper). The work is most often cited by research in Computer Networks and Communications (782 citations), Signal Processing (351 citations), Artificial Intelligence (498 citations), Information Systems (275 citations) and Software (37 citations). Jacob Stein has collaborated with scholars based in United States, Netherlands and Spain. Frequent co-authors include David Maier, P. S. Butterworth, Sharon C. Salveter, David S. Warren, Ingrid Nunes and Elder Cirilo. Their work appears in journals such as ACM SIGPLAN Notices, Communications of the ACM, IEEE Transactions on Software Engineering, Information Systems and MIT Press eBooks.
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.