Sandra Heiler

1.0k citations
21 papers · 515 · h-index 10

Impact in

Papers in

Sandra Heiler

18 papers receiving 434 citations

Peers

Sandra Heiler
Comparison fields: 5 of 58
  • Signal Processing 192
  • Computer Networks and Communications 381
  • Management Information Systems 67
  • Information Systems 153
  • Artificial Intelligence 217
Replace Fred J. Maryanski with:
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Citations per field
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Citations per year

Countries citing papers authored by Sandra Heiler

Since Specialization
Citations

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

Fields of papers citing papers by Sandra Heiler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995116
2 1986100
3 199290
4 198666
5 198525
6 200223
7 199322
8 198721
9
An Example of Knowledge-Based Query Processing in a CAD/CAM DBMS
198416
10
A flexible framework for transaction management in engineering environments
19929
11
An Approach to Interoperable Object Models.
19927
12
Connecting Heterogeneous Systems and Data Sources.
19844
13 20024
14 19873
15
A 'RISC' Object Model for Object System Interoperation: Concepts and Applications.
19933
16
SIBYL: an economist's workbench
19832
17 19912
18
EIS: a framework for federated software tools and databases
19951
19
Repository Support for Metadata-based Legacy Migration.
19991
20 19870

About Sandra Heiler

Sandra Heiler is a scholar working on Computer Networks and Communications, Artificial Intelligence, Management Information Systems, Information Systems and Signal Processing, having authored 21 papers that have together received 515 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (17 papers), Semantic Web and Ontologies (8 papers), Data Management and Algorithms (4 papers), Business Process Modeling and Analysis (4 papers), Distributed systems and fault tolerance (4 papers), Service-Oriented Architecture and Web Services (4 papers), Advanced Computational Techniques and Applications (3 papers) and Distributed and Parallel Computing Systems (3 papers). The work is most often cited by research in Signal Processing (192 citations), Computer Networks and Communications (381 citations), Management Information Systems (67 citations), Information Systems (153 citations) and Artificial Intelligence (217 citations). Sandra Heiler has collaborated with scholars based in United States and France. Frequent co-authors include Frank Manola, Arnon Rosenthal, Umeshwar Dayal, Mark F. Hornick, Michael L. Brodie, Dimitrios Georgakopoulos, Stanley B. Zdonik, Jack Orenstein, Barbara Blaustein and Michael Siegel. Their work appears in journals such as ACM Computing Surveys, ACM SIGMOD Record, Computer Standards & Interfaces, International Journal of Cooperative Information Systems and IEEE Data(base) Engineering Bulletin.

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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