Halil Kilicoglu

3.2k citations
90 papers · 1.9k indexed · h-index 23

Halil Kilicoglu

87 papers receiving 1.8k citations

Peers

Halil Kilicoglu
Comparison fields: 5 of 111
  • Artificial Intelligence 1.3k
  • Health Informatics 40
  • Health Information Management 97
  • Molecular Biology 1.4k
  • Statistics, Probability and Uncertainty 135
Replace Marcelo Fiszman with:
Marcelo Fiszman United States
Rezarta Islamaj United States
Chih-Hsuan Wei United States
Erik M. van Mulligen Netherlands
Aurélie Névéol France
Thomas C. Rindflesch United States
François-Michel Lang United States
Graciela Rosemblat United States
Alan R. Aronson United States
Robert Leaman United States
Halil Kilicoglu relative to Marcelo Fiszman United States Marcelo Fiszman's profile →
Citations per field
00.5×1.5×2.0×
Marcelo Fiszman · 1×
Citations per year

Countries citing papers authored by Halil Kilicoglu

Since Specialization
Citations

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

Fields of papers citing papers by Halil Kilicoglu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Halil Kilicoglu, 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 Halil Kilicoglu Line = papers co-authored together Halil Kilicoglu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20246
3 20241
4 20241
5 20238
6 20231
7 202115
8
Identifying Sample Size Characteristics in Randomized Controlled Trial Publications.
20201
9 20196
10
Enhancing Identification of Relation Arguments in SemRep.
20181
11 20181
12 20175
13 201529
14
Annotating Question Decomposition on Complex Medical Questions
20149
15 201442
16 201217
17
A High-Precision Approach to Detecting Hedges and their Scopes
20109
18 200883
19 200853
20 200563

About Halil Kilicoglu

Halil Kilicoglu is a scholar working on Artificial Intelligence, Statistics, Probability and Uncertainty and Molecular Biology, having authored 90 papers that have together received 1.9k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (73 papers), Topic Modeling (47 papers), Natural Language Processing Techniques (24 papers), Semantic Web and Ontologies (22 papers), Advanced Text Analysis Techniques (12 papers), Meta-analysis and systematic reviews (12 papers), Bioinformatics and Genomic Networks (11 papers) and Computational Drug Discovery Methods (8 papers). The work is most often cited by research in Artificial Intelligence (1.3k citations), Health Informatics (40 citations) and Health Information Management (97 citations). Halil Kilicoglu has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Thomas C. Rindflesch, Marcelo Fiszman, Sabine Bergler, Graciela Rosemblat, Dina Demner‐Fushman, Dongwook Shin, Dimitar Hristovski, Rui Zhang, Dongwook Shin and Kirk Roberts. Their work appears in journals such as Journal of Biomedical Informatics, BMC Bioinformatics, Journal of the American Medical Informatics Association, PLoS ONE and Scientific Reports.

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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