Daniel H. Dalip
Impact in
- Communication top 5%
- Wikis in Education and Collaboration
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- Mobile Crowdsensing and Crowdsourcing
Papers in
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- Digital Rights Management and Security 4
- Expert finding and Q&A systems 3
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- Natural Language Processing Techniques 7
- Topic Modeling 6
- Sentiment Analysis and Opinion Mining 5
- Co-authors
- Marcos André Gonçalves (13 shared papers)Pável Calado (7 shared papers)Marco Cristo (7 shared papers)Anísio Lacerda (3 shared papers)Flávio Luis Cardeal Pádua (2 shared papers)Fabrício Benevenuto (3 shared papers)Adriano C. M. Pereira (2 shared papers)Mirella M. Moro (4 shared papers)
In The Last Decade
Daniel H. Dalip
25 papers receiving 293 citations
Peers
Comparison fields: 5 of 53
- Communication 122
- Computer Science Applications 69
- Information Systems 180
- Artificial Intelligence 150
- Management Science and Operations Research 18
Countries citing papers authored by Daniel H. Dalip
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).
Fields of papers citing papers by Daniel H. Dalip
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.
Co-authors
The 25 scholars most cited alongside Daniel H. Dalip, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 69 | |
| 2 | 2013 | 62 | |
| 3 | 2011 | 37 | |
| 4 | 2016 | 24 | |
| 5 | 2019 | 16 | |
| 6 | 2021 | 16 | |
| 7 | 2019 | 11 | |
| 8 | 2020 | 9 | |
| 9 | 2014 | 8 | |
| 10 | 2015 | 8 | |
| 11 | 2016 | 8 | |
| 12 | 2017 | 7 | |
| 13 | 2011 | 6 | |
| 14 | 2020 | 5 | |
| 15 | 2019 | 3 | |
| 16 | 2017 | 3 | |
| 17 | 2011 | 3 | |
| 18 | 2025 | 2 | |
| 19 | 2020 | 2 | |
| 20 | A Multi-view Approach for the Quality Assessment of Wiki Articles | 2012 | 1 |
About Daniel H. Dalip
Daniel H. Dalip is a scholar working on Information Systems, Artificial Intelligence, Communication, Computer Science Applications and Information Systems and Management, having authored 30 papers that have together received 306 indexed citations. Recurring topics across this work include Wikis in Education and Collaboration (10 papers), Natural Language Processing Techniques (7 papers), Topic Modeling (6 papers), Sentiment Analysis and Opinion Mining (5 papers), Digital Rights Management and Security (4 papers), Mobile Crowdsensing and Crowdsourcing (3 papers), Expert finding and Q&A systems (3 papers) and Business and Management Studies (3 papers). The work is most often cited by research in Communication (122 citations), Computer Science Applications (69 citations), Information Systems (180 citations), Artificial Intelligence (150 citations) and Management Science and Operations Research (18 citations). Daniel H. Dalip has collaborated with scholars based in Brazil, Portugal and France. Frequent co-authors include Marcos André Gonçalves, Pável Calado, Marco Cristo, Anísio Lacerda, Flávio Luis Cardeal Pádua, Fabrício Benevenuto, Adriano C. M. Pereira, Mirella M. Moro, Pollyanna Gonçalves and Johnnatan Messias. Their work appears in journals such as Applied Intelligence, Journal of Data and Information Quality, Information Processing & Management, Multimedia Tools and Applications and Expert Systems with Applications.
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.