Dan Garcia

423 citations
60 papers · 295 · h-index 10

Impact in

Papers in

Dan Garcia

52 papers receiving 287 citations

Peers

Dan Garcia
Comparison fields: 5 of 59
  • Computer Science Applications 186
  • Software 27
  • Developmental and Educational Psychology 64
  • Media Technology 43
  • Information Systems 75
Replace Alex Edgcomb with:
Alex Edgcomb United States
Anarosa A. F. Brandão Brazil
Isidoro Hernán Losada Spain
Aidan Mooney Ireland
Grant Braught United States
Essi Isohanni Germany
Raina Mason Australia
Charlotte Hill United States
Kathryn Cunningham United States
John Monk United Kingdom
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Citations per field
00.5×2.9×
Alex Edgcomb · 1×
Citations per year

Countries citing papers authored by Dan Garcia

Since Specialization
Citations

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

Fields of papers citing papers by Dan Garcia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201579
2 201625
3 201117
4 201316
5
Infusing Parallelism into Introductory Computer Science Curriculum using MapReduce
200815
6 200614
7 201214
8 202213
9 202310
10 201010
11
Snap! (build your own blocks): tutorial presentation
20129
12 20207
13 20024
14
ACES: Automatic Evaluation of Coding Style
20144
15 20023
16 20233
17 20223
18 20203
19 20013
20 20252

About Dan Garcia

Dan Garcia is a scholar working on Computer Science Applications, Information Systems, Artificial Intelligence, Education and Computer Networks and Communications, having authored 60 papers that have together received 295 indexed citations. Recurring topics across this work include Teaching and Learning Programming (21 papers), Online Learning and Analytics (10 papers), Experimental Learning in Engineering (5 papers), Software Testing and Debugging Techniques (5 papers), Distributed and Parallel Computing Systems (5 papers), Cloud Computing and Resource Management (4 papers), Scientific Computing and Data Management (4 papers) and Software Engineering Research (4 papers). The work is most often cited by research in Computer Science Applications (186 citations), Software (27 citations), Developmental and Educational Psychology (64 citations), Media Technology (43 citations) and Information Systems (75 citations). Dan Garcia has collaborated with scholars based in United States, Canada and Israel. Frequent co-authors include Tiffany Barnes, Brian Harvey, Serge Egelman, Gerald Friedland, Mordechai Ben‐Ari, Chih‐Ming Ho, Dean Ho, Matthew West, Craig Zilles and Ramesh Sridharan. Their work appears in journals such as ACM Transactions on Computing Education, Journal of Nanoscience and Nanotechnology, ACM Inroads, CaltechAUTHORS (California Institute of Technology) and Journal of computing sciences in colleges.

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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