Daniel D. Garcia

99 total papers · 661 total citations
69 papers, 481 citations indexed

About

Daniel D. Garcia is a scholar working on Computer Science Applications, Developmental and Educational Psychology and Information Systems. According to data from OpenAlex, Daniel D. Garcia has authored 69 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Computer Science Applications, 13 papers in Developmental and Educational Psychology and 9 papers in Information Systems. Recurrent topics in Daniel D. Garcia's work include Teaching and Learning Programming (28 papers), Online Learning and Analytics (17 papers) and Educational Games and Gamification (10 papers). Daniel D. Garcia is often cited by papers focused on Teaching and Learning Programming (28 papers), Online Learning and Analytics (17 papers) and Educational Games and Gamification (10 papers). Daniel D. Garcia collaborates with scholars based in United States, Israel and Sweden. Daniel D. Garcia's co-authors include Andrew Begel, Steven A. Wolfman, Stanley A. Klein, Brian A. Barsky, David Ginat, Tiffany Barnes, Owen Astrachan, J. M. Forbes, Eric Roberts and Brian Harvey and has published in prestigious journals such as Optometry and Vision Science, Journal of Refractive Surgery and IEEE Multimedia.

In The Last Decade

Daniel D. Garcia

63 papers receiving 446 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Daniel D. Garcia 296 113 97 79 74 69 481
Bruce R. Maxim 83 0.3× 58 0.5× 112 1.2× 40 0.5× 39 0.5× 60 406
Michael Thuné 276 0.9× 167 1.5× 56 0.6× 78 1.0× 84 1.1× 36 461
Cheng-Chih Wu 195 0.7× 122 1.1× 84 0.9× 30 0.4× 68 0.9× 45 433
Wallace Feurzeig 224 0.8× 177 1.6× 47 0.5× 48 0.6× 135 1.8× 28 463
Nasser Giacaman 250 0.8× 76 0.7× 179 1.8× 43 0.5× 90 1.2× 72 548
Phillip Conrad 260 0.9× 103 0.9× 101 1.0× 40 0.5× 61 0.8× 38 548
Jane Waite 350 1.2× 139 1.2× 95 1.0× 52 0.7× 82 1.1× 32 446
Theodosios Sapounidis 279 0.9× 117 1.0× 121 1.2× 63 0.8× 91 1.2× 42 496
Ralph Morelli 354 1.2× 74 0.7× 171 1.8× 59 0.7× 57 0.8× 52 535
Johannes Magenheim 336 1.1× 137 1.2× 132 1.4× 59 0.7× 171 2.3× 47 523

Countries citing papers authored by Daniel D. Garcia

Since Specialization
Citations

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

Fields of papers citing papers by Daniel D. Garcia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel D. Garcia

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel D. Garcia. A scholar is included among the top collaborators of Daniel D. Garcia based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel D. Garcia. Daniel D. Garcia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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