Jorge R Herskovic

19 papers receiving 283 citations

Peers

Jorge R Herskovic
Comparison fields: 5 of 62
  • Artificial Intelligence 138
  • Molecular Biology 130
  • Information Systems 55
  • Management Science and Operations Research 55
  • General Health Professions 44
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Citations per year

Countries citing papers authored by Jorge R Herskovic

Since Specialization
Citations

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

Fields of papers citing papers by Jorge R Herskovic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jorge R Herskovic. 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 Jorge R Herskovic. The network helps show where Jorge R Herskovic may publish in the future.

Co-authorship network of co-authors of Jorge R Herskovic

This figure shows the co-authorship network connecting the top 25 collaborators of Jorge R Herskovic. A scholar is included among the top collaborators of Jorge R Herskovic based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jorge R Herskovic. Jorge R Herskovic is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 13
2 28
3 1
4
Optimized dual threshold entity resolution for electronic health record databases--training set size and active learning.
5
5
Twinlist: novel user interface designs for medication reconciliation.
13
6 4
7 2
8
Deterministic binary vectors for efficient automated indexing of MEDLINE/PubMed abstracts.
13
9 4
10 14
11 1
12
Automated medication reconciliation and complexity of care transitions.
8
13 1
14
Medication Reconciliation: Work Domain Ontology, prototype development, and a predictive model.
10
15 4
16 3
17 108
18 3
19 54
20
Using incomplete citation data for MEDLINE results ranking.
9

About Jorge R Herskovic

Jorge R Herskovic is a scholar working on Medical Laboratory Technology, Health Information Management and Geriatrics and Gerontology, having authored 20 papers that have together received 298 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (9 papers), Data Quality and Management (6 papers) and Electronic Health Records Systems (4 papers). The work is most often cited by research in Health Information Management (36 citations), Geriatrics and Gerontology (24 citations) and Statistics, Probability and Uncertainty (39 citations). Jorge R Herskovic has collaborated with scholars based in United States, Chile and Israel. Frequent co-authors include Elmer V. Bernstam, William Hersh, Yindalon Aphinyanaphongs, M. Sriram, Constantin Aliferis, Erel Joffe, Trevor Cohen, Craig Johnson, Michael Byrne and Todd R. Johnson. Their work appears in journals such as Journal of Clinical Oncology, BMC Bioinformatics and Journal of the American Medical Informatics Association.

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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