Daniel Riera

2.1k citations
31 papers · 1.3k · h-index 15

Impact in

Papers in

Daniel Riera

30 papers receiving 1.2k citations

Peers

Daniel Riera
Comparison fields: 5 of 83
  • Software 261
  • Industrial and Manufacturing Engineering 537
  • Developmental and Educational Psychology 300
  • Computer Science Applications 108
  • Human-Computer Interaction 97
Replace Antonio Bucchiarone with:
Antonio Bucchiarone Italy
Shian‐Shyong Tseng Taiwan
Lin Padgham Australia
Annapaola Marconi Italy
Michael Winikoff Australia
Jimmy H. M. Lee Hong Kong
Christophe Kolski France
Marco Pistore Italy
Claudio Giovanni Demartini Italy
Alberto Rodrigues da Silva Portugal
Daniel Riera relative to Antonio Bucchiarone Italy Antonio Bucchiarone's profile →
Citations per field
00.5×6.7×
Antonio Bucchiarone · 1×
Citations per year

Countries citing papers authored by Daniel Riera

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Riera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017190
2 2014176
3 2015164
4 2008130
5 201092
6 201088
7 201486
8 200784
9 201468
10 201656
11 200448
12 201222
13 200217
14 201816
15 202015
16 201113
17 201212
18 20037
19 20145
20 20093

About Daniel Riera

Daniel Riera is a scholar working on Industrial and Manufacturing Engineering, Automotive Engineering, Management Information Systems, Transportation and Artificial Intelligence, having authored 31 papers that have together received 1.3k indexed citations. Recurring topics across this work include Vehicle Routing Optimization Methods (19 papers), Transportation and Mobility Innovations (7 papers), Transportation Planning and Optimization (6 papers), Optimization and Packing Problems (5 papers), Advanced Manufacturing and Logistics Optimization (5 papers), Business Process Modeling and Analysis (5 papers), Petri Nets in System Modeling (4 papers) and Optimization and Mathematical Programming (3 papers). The work is most often cited by research in Software (261 citations), Industrial and Manufacturing Engineering (537 citations), Developmental and Educational Psychology (300 citations), Computer Science Applications (108 citations) and Human-Computer Interaction (97 citations). Daniel Riera has collaborated with scholars based in Spain, United States and Mexico. Frequent co-authors include Ángel A. Juan, Jordi Cabot, Robert Clarisó, Joan Arnedo-Moreno, Carina Soledad González González, Alberto Mora, Daniel Guimarans, José Cáceres-Cruz, Barry B. Barrios and Javier Faulín. Their work appears in journals such as Journal of Computing in Higher Education, IEEE Systems Journal, Journal of Simulation, Annals of Operations Research and Transportation Research Part C Emerging Technologies.

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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