Daniel Morán

464 citations
49 papers · 337 · h-index 4

Impact in

Papers in

Daniel Morán

40 papers receiving 300 citations

Peers

Daniel Morán
Comparison fields: 5 of 76
  • Information Systems 177
  • Computer Networks and Communications 98
  • Demography 43
  • Visual Arts and Performing Arts 12
  • Artificial Intelligence 82
Replace Donovan Michael Ellis with:
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Sandra Spickard Prettyman United States
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Songül Karabatak Türkiye
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Morán

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Morán

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Daniel Morán, 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 Daniel Morán Line = papers co-authored together Daniel Morán links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010186
2
ACT in Practice: Case Conceptualization in Acceptance and Commitment Therapy
200865
3 201215
4 20119
5 20184
6 20124
7 20204
8 20103
9 20203
10
What are rainforests worth? And why it makes economic sense to keep them standing.
20083
11 20183
12 20193
13 20222
14 20102
15 20192
16 20102
17 20212
18 20221
19
MODELO ONTOLÓGICO COMO APOYO A LA TOMA DE DECISIONES EN OPORTUNIDADES DE ESTUDIO / Ontological Model as Support for Decision Making in Study Opportunities
20121
20 20101

About Daniel Morán

Daniel Morán is a scholar working on Demography, Visual Arts and Performing Arts, Cultural Studies, Political Science and International Relations and Linguistics and Language, having authored 49 papers that have together received 337 indexed citations. Recurring topics across this work include Historical Studies in Latin America (34 papers), History and Politics in Latin America (21 papers), Latin American history and culture (7 papers), Argentine historical studies (5 papers), Cloud Computing and Resource Management (4 papers), International Relations in Latin America (3 papers), Politics and Society in Latin America (3 papers) and American Constitutional Law and Politics (2 papers). The work is most often cited by research in Information Systems (177 citations), Computer Networks and Communications (98 citations), Demography (43 citations), Visual Arts and Performing Arts (12 citations) and Artificial Intelligence (82 citations). Daniel Morán has collaborated with scholars based in Peru, Argentina and Spain. Frequent co-authors include Luis M. Vaquero, Luis Rodero‐Merino, Daniel J. Moran, Patricia A. Bach, Steven C. Hayes, Fermín Galán, José M. Alcaraz Calero, Juan Cáceres, Jesús Wiliam Huanca-Arohuanca and Mrugesh H. Trivedi. Their work appears in journals such as Revista Paginas, Computing, Historia Crítica, Historia Ambiental Latinoamericana y Caribeña (HALAC) revista de la Solcha and Historia y Comunicación Social.

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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