Daniel Palacios‐Marqués

94 papers receiving 3.9k citations

Hit Papers

Exploring the boundaries of open innovation: Evidence from social media mining 2022 · 181 citations
1812015202620182022100200300400

Peers

Daniel Palacios‐Marqués
Comparison fields: 5 of 150
  • Business and International Management 263
  • Management of Technology and Innovation 637
  • Strategy and Management 1.2k
  • Information Systems and Management 470
  • Marketing 594
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Citations per year

Countries citing papers authored by Daniel Palacios‐Marqués

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Palacios‐Marqués

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Daniel Palacios‐Marqués, 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 Palacios‐Marqués Line = papers co-authored together Daniel Palacios‐Marqués links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20253
3 20250
4 20254
5 20240
6 20242
7 202325
8 202318
9 202237
10 202179
11
Towards a new era of mass data collection: Assessing pandemic surveillance technologies to preserve user privacy
Hit paper breakdown →
2021122
12 202012
13 20194
14 201723
15 2016143
16 201337
17
NEW METHODOLOGIES TO ADAPT BUSINESS MANAGEMENT STUDIES TO THE BOLOGNA REQUIREMENTS
20110
18 201111
19 201133
20 201025

About Daniel Palacios‐Marqués

Daniel Palacios‐Marqués is a scholar working on Management of Technology and Innovation, Communication, Business and International Management, Information Systems and Management and Strategy and Management, having authored 98 papers that have together received 4.0k indexed citations. Recurring topics across this work include Innovation and Knowledge Management (25 papers), Digital Marketing and Social Media (21 papers), Technology Adoption and User Behaviour (17 papers), Knowledge Management and Sharing (13 papers), Entrepreneurship Studies and Influences (11 papers), Multi-Criteria Decision Making (10 papers), Business Strategy and Innovation (8 papers) and Intellectual Capital and Performance Analysis (8 papers). The work is most often cited by research in Business and International Management (263 citations), Management of Technology and Innovation (637 citations), Strategy and Management (1.2k citations), Information Systems and Management (470 citations) and Marketing (594 citations). Daniel Palacios‐Marqués has collaborated with scholars based in Spain, United Kingdom and Chile. Frequent co-authors include Domingo Ribeiro Soriano, José Ramón Saura, Pedro Soto‐Acosta, José M. Merigó, Samuel Ribeiro‐Navarrete, Andrea Rey‐Martí, Simona Popa, Carlos Devece, María Orero-Blat and Dolores Botella-Carrubí. Their work appears in journals such as Journal of Business Research, Technological Forecasting and Social Change, Management Decision, International Entrepreneurship and Management Journal and Service Industries Journal.

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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