Imre Solti

2.1k citations
35 papers · 1.4k indexed · h-index 20
Topics
Biomedical Text Mining and Ontologies (14 papers)Topic Modeling (12 papers)Electronic Health Records Systems (9 papers)
Journals
SHILAP Revista de lepidopterologíaCardiovascular ResearchJournal of Medical Internet Research

In The Last Decade

Imre Solti

34 papers receiving 1.3k citations

Peers

Imre Solti
Comparison fields: 5 of 118
  • Artificial Intelligence 734
  • Molecular Biology 676
  • Health Information Management 224
  • Public Health, Environmental and Occupational Health 135
  • Epidemiology 88
Replace Todd Lingren with:
Todd Lingren United States
Hercules Dalianis Sweden
Majid Rastegar-Mojarad United States
Marc Cuggia France
Yu Rang Park South Korea
Stéphane M. Meystre United States
Megan Kaiser United States
Brett R. South United States
Marcelo Fiszman United States
Henry Lowe United States
Imre Solti relative to Todd Lingren United States Todd Lingren's profile →
Citations per field
00.5×1.5×1.8×
Todd Lingren · 1×
Citations per year

Countries citing papers authored by Imre Solti

Since Specialization
Citations

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

Fields of papers citing papers by Imre Solti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Imre Solti

This figure shows the co-authorship network connecting the top 25 collaborators of Imre Solti. A scholar is included among the top collaborators of Imre Solti 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 Imre Solti. Imre Solti 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 3
2 4
3 27
4 88
5 28
6 23
7 64
8 42
9 38
10 39
11 26
12 59
13 52
14 18
15 59
16 15
17
Preliminary Experiments with Amazon's Mechanical Turk for Annotating Medical Named Entities
22
18 331
19 41
20 8

About Imre Solti

Imre Solti is a scholar working on Health Information Management, Health Informatics and Toxicology, having authored 35 papers that have together received 1.4k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (14 papers), Topic Modeling (12 papers) and Electronic Health Records Systems (9 papers). The work is most often cited by research in Health Informatics (86 citations), Health Information Management (224 citations) and Artificial Intelligence (734 citations). Imre Solti has collaborated with scholars based in United States, Hungary and Hong Kong. Frequent co-authors include Eithon Cadag, Özlem Uzuner, Todd Lingren, Megan Kaiser, Qi Li, Louise Deléger, Haijun Zhai, Yizhao Ni, Laura Stoutenborough and Fei Xia. Their work appears in journals such as SHILAP Revista de lepidopterología, Cardiovascular Research and Journal of Medical Internet 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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