Daniel H. Dalip

11 papers and 144 indexed citations i.

About

Daniel H. Dalip is a scholar working on Artificial Intelligence, Information Systems and Communication. According to data from OpenAlex, Daniel H. Dalip has authored 11 papers receiving a total of 144 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 5 papers in Information Systems and 4 papers in Communication. Recurrent topics in Daniel H. Dalip’s work include Topic Modeling (4 papers), Wikis in Education and Collaboration (4 papers) and Expert finding and Q&A systems (3 papers). Daniel H. Dalip is often cited by papers focused on Topic Modeling (4 papers), Wikis in Education and Collaboration (4 papers) and Expert finding and Q&A systems (3 papers). Daniel H. Dalip collaborates with scholars based in Brazil, Portugal and France. Daniel H. Dalip's co-authors include Marcos André Gonçalves, Marco Cristo, Pável Calado, Flávio Luis Cardeal Pádua, Fabrí­cio Benevenuto, Anísio Lacerda, Adriano C. M. Pereira, Flávia Spitale Jacques Poggiali, Sérgio Canuto and I. Campos and has published in prestigious journals such as Expert Systems with Applications, Information Processing & Management and Multimedia Tools and Applications.

In The Last Decade

Co-authorship network of co-authors of Daniel H. Dalip i

Fields of papers citing papers by Daniel H. Dalip

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel H. Dalip. 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 Daniel H. Dalip. The network helps show where Daniel H. Dalip may publish in the future.

Countries citing papers authored by Daniel H. Dalip

Since Specialization
Citations

This map shows the geographic impact of Daniel H. Dalip'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 Daniel H. Dalip with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel H. Dalip 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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2025