Daniel Sagalowicz

799 citations
18 papers · 476 · h-index 8

Impact in

    • Semantic Web and Ontologies
    • Natural Language Processing Techniques
    • Topic Modeling
    • Speech and dialogue systems
    • AI-based Problem Solving and Planning
    • Data Management and Algorithms

Papers in

Daniel Sagalowicz

16 papers receiving 395 citations

Peers

Daniel Sagalowicz
Comparison fields: 5 of 44
  • Artificial Intelligence 369
  • Signal Processing 112
  • Computer Networks and Communications 209
  • Information Systems 96
  • Information Systems and Management 14
Replace Gary G. Hendrix with:
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Marc Torrens Switzerland
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Sagalowicz

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Sagalowicz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Daniel Sagalowicz, 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 Daniel Sagalowicz Line = papers co-authored together Daniel Sagalowicz links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 1978351
2 198346
3
Separability - an approach to physical data base design
198114
4 197610
5 19849
6
Physical Design of Network Model Databases Using the Property of Separability
19828
7
IDA: an intelligent data access program
19778
8
Engineering Data Management Activities Within the IPAD Project.
19827
9 19816
10
Managing Network Access to a Distributed Database
19774
11 20184
12
Mechanical intelligence : research and applications
19772
13 19782
14
A Team User's Guide
19811
15
A D-Ladder User's Guide
19801
16 19831
17 19781
18 20211

About Daniel Sagalowicz

Daniel Sagalowicz is a scholar working on Computer Networks and Communications, Artificial Intelligence, Information Systems, Management Science and Operations Research and General Health Professions, having authored 18 papers that have together received 476 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (7 papers), Semantic Web and Ontologies (3 papers), Hermeneutics and Narrative Identity (2 papers), Complex Systems and Decision Making (2 papers), Service-Oriented Architecture and Web Services (2 papers), Data Management and Algorithms (2 papers), Distributed and Parallel Computing Systems (2 papers) and Aging, Elder Care, and Social Issues (2 papers). The work is most often cited by research in Artificial Intelligence (369 citations), Signal Processing (112 citations), Computer Networks and Communications (209 citations), Information Systems (96 citations) and Information Systems and Management (14 citations). Daniel Sagalowicz has collaborated with scholars based in United States and Monaco. Frequent co-authors include Earl D. Sacerdoti, Jonathan Slocum, Gary G. Hendrix, Gio Wiederhold, Kyu-Young Whang, Richard Fikes, S. Jerrold Kaplan, Richard Waldinger, Paul Morris and Howard L. Morgan. Their work appears in journals such as Communications of the ACM, ACM SIGMOD Record, ACM Transactions on Database Systems, Expert Systems and PDXScholar (Portland State University).

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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