Geri Steve

573 citations
12 papers · 259 · h-index 8

Impact in

Papers in

Journals
Data & Knowledge Engineering (1 paper)PubMed (4 papers)PubMed Central (2 papers)IEEE Transactions on Information Technology in Biomedicine (1 paper)
Partner nations
Italy

In The Last Decade

Geri Steve

12 papers receiving 216 citations

Peers

Geri Steve
Comparison fields: 5 of 40
  • Artificial Intelligence 228
  • Information Systems 104
  • Health Information Management 14
  • Management Information Systems 23
  • Language and Linguistics 23
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Citations per year

Countries citing papers authored by Geri Steve

Since Specialization
Citations

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

Fields of papers citing papers by Geri Steve

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 3 scholars most cited alongside Geri Steve, 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 Geri Steve Line = papers co-authored together Geri Steve links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 199981
2
Ontology integration: Experiences with medical terminologies
199854
3
An ontological analysis of the UMLS Metathesaurus.
199842
4
ONIONS: An Ontological Methodology for Taxonomic Knowledge Integration
199619
5
Integrating Medical Terminologies with ONIONS Methodology
199716
6
Ontologies and Information Systems: the Marriage of the Century?
200315
7
Understanding systematic conceptual structures in polysemous medical terms.
20009
8
Toward a standard for guideline representation: an ontological approach.
19998
9
WWW-available conceptual integration of medical terminologies: the ONIONS experience.
19977
10
Ontology alignment: Experiences with medical terminologies
19984
11
Ontological Analysis for the Unification of Biology
20023
12
Cognitive design for sharing medical knowledge models.
19951

About Geri Steve

Geri Steve is a scholar working on Molecular Biology, Artificial Intelligence, Language and Linguistics, General Health Professions and Health Information Management, having authored 12 papers that have together received 259 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (11 papers), Semantic Web and Ontologies (8 papers), linguistics and terminology studies (3 papers), Natural Language Processing Techniques (3 papers), Electronic Health Records Systems (1 paper), Bioinformatics and Genomic Networks (1 paper), Hermeneutics and Narrative Identity (1 paper) and Scientific Computing and Data Management (1 paper). The work is most often cited by research in Artificial Intelligence (228 citations), Information Systems (104 citations), Health Information Management (14 citations), Management Information Systems (23 citations) and Language and Linguistics (23 citations). Geri Steve has collaborated with scholars based in Italy. Frequent co-authors include Aldo Gangemi, Domenico M. Pisanelli and Massimo Battaglia. Their work appears in journals such as Data & Knowledge Engineering, PubMed, PubMed Central and IEEE Transactions on Information Technology in Biomedicine.

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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