Edward Sciore

1.3k citations
45 papers · 680 · h-index 15

Impact in

Papers in

Edward Sciore

42 papers receiving 589 citations

Peers

Edward Sciore
Comparison fields: 5 of 48
  • Signal Processing 282
  • Computer Networks and Communications 498
  • Artificial Intelligence 472
  • Information Systems 205
  • Management Science and Operations Research 81
Replace Upen S. Chakravarthy with:
Upen S. Chakravarthy United States
Arthur M. Keller United States
George A. Mihaila United States
Amihai Motro United States
David K. Hsiao United States
Fred J. Maryanski United States
Marc H. Scholl Germany
Hong‐Tai Chou United States
Werner Nutt Italy
Anthony C. Klug United States
Edward Sciore relative to Upen S. Chakravarthy United States Upen S. Chakravarthy's profile →
Citations per field
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Upen S. Chakravarthy · 1×
Citations per year

Countries citing papers authored by Edward Sciore

Since Specialization
Citations

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

Fields of papers citing papers by Edward Sciore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Edward Sciore, 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 Edward Sciore Line = papers co-authored together Edward Sciore links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994198
2 198968
3 198233
4 199232
5 199431
6 198130
7 198029
8
View Security as the Basis for Data Warehouse Security
200025
9 199122
10
Towards an Integrated Database-Prolog System.
198422
11 198320
12 200715
13 197914
14 199414
15 199214
16 198314
17 200710
18
Rule Discovery for Query Optimization.
19919
19
Some Observations on Real-World Data Dependencies.
19809
20 19888

About Edward Sciore

Edward Sciore is a scholar working on Computer Networks and Communications, Artificial Intelligence, Signal Processing, Information Systems and Management Science and Operations Research, having authored 45 papers that have together received 680 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (31 papers), Data Management and Algorithms (22 papers), Semantic Web and Ontologies (17 papers), Data Quality and Management (6 papers), Distributed systems and fault tolerance (5 papers), Access Control and Trust (3 papers), Distributed and Parallel Computing Systems (3 papers) and Cloud Computing and Resource Management (2 papers). The work is most often cited by research in Signal Processing (282 citations), Computer Networks and Communications (498 citations), Artificial Intelligence (472 citations), Information Systems (205 citations) and Management Science and Operations Research (81 citations). Edward Sciore has collaborated with scholars based in United States. Frequent co-authors include Michael Siegel, Arnon Rosenthal, Sharon C. Salveter, Stuart Madnick, Adrian Tang, Peter Honeyman, Adrian Walker, Michael J. Caruso, David H. Warren and Forouzan Golshani. Their work appears in journals such as ACM SIGMOD Record, ACM Transactions on Database Systems, Information Systems, ACM Transactions on Information Systems and Journal of Systems and Software.

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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