Walter Sujansky

17 papers receiving 362 citations

Peers

Walter Sujansky
Comparison fields: 5 of 71
  • Health Information Management 157
  • Medical Terminology 3
  • Information Systems and Management 63
  • Management Science and Operations Research 55
  • Artificial Intelligence 138
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Countries citing papers authored by Walter Sujansky

Since Specialization
Citations

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

Fields of papers citing papers by Walter Sujansky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Walter Sujansky, 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 Walter Sujansky Line = papers co-authored together Walter Sujansky links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2001125
2
The benefits and challenges of an electronic medical record: much more than a "word-processed" patient chart.
199850
3
Heterogeneous database integration in biomedicine
200134
4 200732
5
Towards improved knowledge sharing: assessment of the HL7 Reference Information Model to support medical logic module queries.
199730
6 201027
7 201415
8 200914
9
Reuse of knowledge represented in the Arden syntax.
199213
10
Towards a standard query model for sharing decision-support applications.
199413
11 20157
12
An evaluation of the TransFER model for sharing clinical decision-support applications.
19967
13 19914
14
The California Clinical Data Project: a case study in the adoption of clinical data standards for quality improvement.
20064
15
Bridging the Representational Heterogeneity of Clinical Databases
19944
16
The SQLX system: generating explanations for clinical rules encoded in SQL.
19923
17
A Formal model for bridging heterogeneous relational databases in clinical medicine
19962

About Walter Sujansky

Walter Sujansky is a scholar working on Artificial Intelligence, Health Information Management, Computer Networks and Communications, Molecular Biology and General Health Professions, having authored 17 papers that have together received 384 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (11 papers), Electronic Health Records Systems (8 papers), Advanced Database Systems and Queries (7 papers), Biomedical Text Mining and Ontologies (6 papers), Scientific Computing and Data Management (3 papers), Pharmaceutical Practices and Patient Outcomes (2 papers), Data Management and Algorithms (2 papers) and Service-Oriented Architecture and Web Services (2 papers). The work is most often cited by research in Health Information Management (157 citations), Medical Terminology (3 citations), Information Systems and Management (63 citations), Management Science and Operations Research (55 citations) and Artificial Intelligence (138 citations). Walter Sujansky has collaborated with scholars based in United States, Argentina and Taiwan. Frequent co-authors include Russ B. Altman, Mark D. Smith, Robert A. Jenders, Carol A. Broverman, Patrícia Flatley Brennan, Michael Shwe, Blackford Middleton, J. Fröhlich, Serina Chang and J. Marc Overhage. Their work appears in journals such as Journal of Biomedical Informatics, Personal and Ubiquitous Computing, Health Affairs, Journal of the American Medical Informatics Association and Computers and Biomedical Research.

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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