Joel Brandt

2.8k citations
45 papers · 2.0k · h-index 22

Impact in

    • Mobile Crowdsensing and Crowdsourcing
    • Teaching and Learning Programming
    • Open Source Software Innovations
  • Software top 2%
    • Software Testing and Debugging Techniques

Papers in

Joel Brandt

45 papers receiving 1.9k citations

Peers

Joel Brandt
Comparison fields: 5 of 80
  • Computer Science Applications 847
  • Software 292
  • Human-Computer Interaction 357
  • Information Systems 900
  • Information Systems and Management 209
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Allen Cypher United States
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Marc H. Brown United States
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Tessa Lau United States
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Michel C. Desmarais Canada
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Citations per field
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Citations per year

Countries citing papers authored by Joel Brandt

Since Specialization
Citations

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

Fields of papers citing papers by Joel Brandt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009365
2 2010262
3 2011243
4 2010224
5 2012161
6 200769
7 200867
8 201461
9 201458
10 200956
11 201845
12 201842
13 201240
14 201639
15 201730
16 201228
17
Analytic Methods for Optimizing Realtime Crowdsourcing
201228
18 201227
19 201426
20 201426

About Joel Brandt

Joel Brandt is a scholar working on Information Systems, Computer Science Applications, Human-Computer Interaction, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 45 papers that have together received 2.0k indexed citations. Recurring topics across this work include Software Engineering Research (12 papers), Interactive and Immersive Displays (10 papers), Mobile Crowdsensing and Crowdsourcing (6 papers), Advanced Software Engineering Methodologies (5 papers), Teaching and Learning Programming (5 papers), Innovative Human-Technology Interaction (5 papers), Data Visualization and Analytics (4 papers) and Multimedia Communication and Technology (4 papers). The work is most often cited by research in Computer Science Applications (847 citations), Software (292 citations), Human-Computer Interaction (357 citations), Information Systems (900 citations) and Information Systems and Management (209 citations). Joel Brandt has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Scott Klemmer, Mira Dontcheva, Philip J. Guo, Joel Lewenstein, Michael S. Bernstein, David R. Karger, Robert C. Miller, Daniel MacDougall, Björn Hartmann and Stephen Oney. Their work appears in journals such as Frontiers in Endocrinology, IEEE Software, Canadian Journal of Diabetes, International Journal of Interactive Mobile Technologies (iJIM) and Lecture notes in computer science.

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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