Danielli Cossul

422 citations
9 papers · 269 · h-index 4

Impact in

Papers in

Danielli Cossul

4 papers receiving 255 citations

Peers

Danielli Cossul
Comparison fields: 5 of 89
  • Industrial and Manufacturing Engineering 73
  • Management of Technology and Innovation 28
  • Computer Science Applications 19
  • Management Information Systems 30
  • Strategy and Management 42
Replace Sandra Elisia Lemões Iepsen with:
Sandra Elisia Lemões Iepsen Brazil
Corina Pacher Austria
Lorena Espina-Romero Peru
Julien Maheut Spain
Slavko Rakić Serbia
Isidora Milošević Serbia
Andrea Tick Hungary
Sungsup Ra Philippines
Andrej Jerman Slovenia
Leslie J. Wardley Canada
Danielli Cossul relative to Sandra Elisia Lemões Iepsen Brazil Sandra Elisia Lemões Iepsen's profile →
Citations per field
00.5×1.5×
Sandra Elisia Lemões Iepsen · 1×
Citations per year

Countries citing papers authored by Danielli Cossul

Since Specialization
Citations

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

Fields of papers citing papers by Danielli Cossul

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Danielli Cossul, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Danielli Cossul Line = papers co-authored together Danielli Cossul links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2020184
2 202160
3 202117
4 20237
5 20201
6 20250
7 20170
8 20230
9 20230

About Danielli Cossul

Danielli Cossul is a scholar working on Industrial and Manufacturing Engineering, Management Information Systems, Sociology and Political Science, Infectious Diseases and Strategy and Management, having authored 9 papers that have together received 269 indexed citations. Recurring topics across this work include Digital Transformation in Industry (3 papers), Big Data and Business Intelligence (2 papers), Health Policy Implementation Science (1 paper), Technology Assessment and Management (1 paper), Patient Safety and Medication Errors (1 paper), Academic Research in Diverse Fields (1 paper), Education and Digital Technologies (1 paper) and Child and Adolescent Psychosocial and Emotional Development (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (73 citations), Management of Technology and Innovation (28 citations), Computer Science Applications (19 citations), Management Information Systems (30 citations) and Strategy and Management (42 citations). Danielli Cossul has collaborated with scholars based in Brazil, Canada and Uruguay. Frequent co-authors include Leonardo B. Furstenau, Rejane Frozza, Sandra Elisia Lemões Iepsen, Ana Júlia Dal Forno, Liane Mählmann Kipper, Michele Kremer Sott, Nicola Luigi Bragazzi, Michael S. Dohan, Tarcísio Abreu Saurin and Ricardo de Souza Kuchenbecker. Their work appears in journals such as International Journal of Environmental Research and Public Health, Technology in Society, Applied Ergonomics, Educação e Pesquisa and Revista Psicologia Organizações e Trabalho.

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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