Daniela Gîfu

59 papers and 187 indexed citations i.

About

Daniela Gîfu is a scholar working on Artificial Intelligence, Organizational Behavior and Human Resource Management and Information Systems. According to data from OpenAlex, Daniela Gîfu has authored 59 papers receiving a total of 187 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 13 papers in Organizational Behavior and Human Resource Management and 10 papers in Information Systems. Recurrent topics in Daniela Gîfu’s work include Appreciative Inquiry and Organizational Change (13 papers), Topic Modeling (8 papers) and Natural Language Processing Techniques (7 papers). Daniela Gîfu is often cited by papers focused on Appreciative Inquiry and Organizational Change (13 papers), Topic Modeling (8 papers) and Natural Language Processing Techniques (7 papers). Daniela Gîfu collaborates with scholars based in Romania, Czechia and Slovakia. Daniela Gîfu's co-authors include Mirela Teodorescu, Adrian Iftene, Ioan Constantin Dima, Huiling Zhou, Dan Ionescu, Marius Cioca, Jingbo Xia, Hongyu Hu, Ye Huang and Vladimír Modrák and has published in prestigious journals such as Future Generation Computer Systems, Applied Sciences and Language Resources and Evaluation.

In The Last Decade

Co-authorship network of co-authors of Daniela Gîfu i

Fields of papers citing papers by Daniela Gîfu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniela Gîfu

Since Specialization
Citations

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

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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