Mihaela Bornea

28 total papers · 495 total citations
14 papers, 232 citations indexed

About

Mihaela Bornea is a scholar working on Artificial Intelligence, Computer Networks and Communications and Molecular Biology. According to data from OpenAlex, Mihaela Bornea has authored 14 papers receiving a total of 232 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 5 papers in Computer Networks and Communications and 4 papers in Molecular Biology. Recurrent topics in Mihaela Bornea's work include Topic Modeling (8 papers), Natural Language Processing Techniques (5 papers) and Biomedical Text Mining and Ontologies (4 papers). Mihaela Bornea is often cited by papers focused on Topic Modeling (8 papers), Natural Language Processing Techniques (5 papers) and Biomedical Text Mining and Ontologies (4 papers). Mihaela Bornea collaborates with scholars based in United States, Greece and Australia. Mihaela Bornea's co-authors include Kavitha Srinivas, Anastasios Kementsietsidis, Bishwaranjan Bhattacharjee, Octavian Udrea, Julian Dolby, Antonios Deligiannakis, Vasilis Vassalos, Alan Fekete, Orion Hodson and Sameh Elnikety and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Proceedings - International Conference on Data Engineering and arXiv (Cornell University).

In The Last Decade

Mihaela Bornea

14 papers receiving 216 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Mihaela Bornea	141	135	63	53	51	14	232
Yi Huang	128 0.9×	54 0.4×	62 1.0×	42 0.8×	40 0.8×	14	217
Shohedul Hasan	181 1.3×	49 0.4×	68 1.1×	58 1.1×	39 0.8×	14	264
Giuseppe M. Mazzeo	117 0.8×	70 0.5×	31 0.5×	60 1.1×	25 0.5×	16	190
Arjohn Kampman	205 1.5×	103 0.8×	99 1.6×	53 1.0×	31 0.6×	9	250
Norbert Martínez-Bazán	82 0.6×	99 0.7×	70 1.1×	32 0.6×	96 1.9×	10	185
Hugh Darwen	117 0.8×	144 1.1×	65 1.0×	77 1.5×	14 0.3×	17	222
Miikka Junnila	209 1.5×	64 0.5×	118 1.9×	34 0.6×	48 0.9×	14	256
Huiyong Xiao	140 1.0×	61 0.5×	81 1.3×	25 0.5×	17 0.3×	11	179
Julien Leblay	284 2.0×	72 0.5×	58 0.9×	44 0.8×	64 1.3×	13	328
Alexander Schätzle	160 1.1×	143 1.1×	66 1.0×	31 0.6×	90 1.8×	13	216

Countries citing papers authored by Mihaela Bornea

Since Specialization

Citations

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

Fields of papers citing papers by Mihaela Bornea

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mihaela Bornea

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

All Works

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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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