Karen Hambardzumyan

446 total citations
3 papers, 15 citations indexed

About

Karen Hambardzumyan is a scholar working on Artificial Intelligence, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Karen Hambardzumyan has authored 3 papers receiving a total of 15 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Molecular Biology and 0 papers in Infectious Diseases. Recurrent topics in Karen Hambardzumyan's work include Natural Language Processing Techniques (2 papers), Biomedical Text Mining and Ontologies (1 paper) and Machine Learning in Bioinformatics (1 paper). Karen Hambardzumyan is often cited by papers focused on Natural Language Processing Techniques (2 papers), Biomedical Text Mining and Ontologies (1 paper) and Machine Learning in Bioinformatics (1 paper). Karen Hambardzumyan collaborates with scholars based in Armenia. Karen Hambardzumyan's co-authors include Hrant Khachatrian, Lilit Nersisyan, T. V. Galstyan, Anna Hakobyan, Arsen Arakelyan, Elena Voita, Andrey Rzhetsky and Aram Galstyan and has published in prestigious journals such as .

In The Last Decade

Karen Hambardzumyan

3 papers receiving 14 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Karen Hambardzumyan Armenia	3	15	6	1	1	1	3	15
Niall Taylor United Kingdom	4	24 1.6×	7 1.2×				5	32
Gregor Koehler Germany	2	9 0.6×	4 0.7×		1 1.0×	1 1.0×	3	16
Juraj Gottweis United States	2	8 0.5×	6 1.0×		1 1.0×		3	11
Frieda Steurs Belgium	4	21 1.4×	7 1.2×	1 1.0×	2 2.0×	1 1.0×	14	31
Chen-Cheng Kuo Taiwan	3	9 0.6×	3 0.5×				3	15
K. Y. Gao China	2	9 0.6×	8 1.3×		2 2.0×	2 2.0×	5	18
Greg Strylewicz United States	3	6 0.4×	4 0.7×				3	28
Sibt ul Hussain Pakistan	3	9 0.6×	2 0.3×		1 1.0×	1 1.0×	3	11
L. Raczyński Poland	2	5 0.3×	4 0.7×		1 1.0×	1 1.0×	3	9
Frank Rügheimer Germany	3	6 0.4×	10 1.7×			1 1.0×	6	18

Countries citing papers authored by Karen Hambardzumyan

Since Specialization

Citations

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

Fields of papers citing papers by Karen Hambardzumyan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karen Hambardzumyan

This figure shows the co-authorship network connecting the top 25 collaborators of Karen Hambardzumyan. A scholar is included among the top collaborators of Karen Hambardzumyan 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 Karen Hambardzumyan. Karen Hambardzumyan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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3 of 3 papers shown

1.

Hambardzumyan, Karen, et al.. (2024). LM Transparency Tool: Interactive Tool for Analyzing Transformer Language Models. 51–60. 2 indexed citations

2.

Khachatrian, Hrant, Lilit Nersisyan, Karen Hambardzumyan, et al.. (2019). BioRelEx 1.0: Biological Relation Extraction Benchmark. 176–190. 9 indexed citations

3.

Hambardzumyan, Karen, et al.. (2018). Towards. 180–186. 4 indexed citations

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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