John T. Korb

1.3k citations
16 papers · 858 · 1 hit paper · h-index 8

Impact in

Papers in

John T. Korb

15 papers receiving 790 citations

John T. Korb's Hit Papers

Computational Thinking in Elementary and Secondary Teacher Education 2014 · 406 citations
4060+4+8Years since publication100200300400

Peers

John T. Korb
Comparison fields: 5 of 51
  • Computer Science Applications 708
  • Developmental and Educational Psychology 328
  • Software 64
  • Media Technology 128
  • Hardware and Architecture 54
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Mark Stehlik United States
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Citations per field
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Citations per year

Countries citing papers authored by John T. Korb

Since Specialization
Citations

This map shows the geographic impact of John T. Korb'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 John T. Korb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John T. Korb more than expected).

Fields of papers citing papers by John T. Korb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John T. Korb. 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 John T. Korb. The network helps show where John T. Korb may publish in the future.

Co-authors

The 18 scholars most cited alongside John T. Korb, 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 John T. Korb Line = papers co-authored together John T. Korb links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1
Computational Thinking in Elementary and Secondary Teacher Education
Hit paper breakdown →
2014406
2 2011161
3 2009104
4 200976
5 198135
6 201218
7 200818
8 19839
9 19837
10
Computing About Physical Objects
19876
11
The TILDE Project
19846
12
An Overview of the DASH Intelligent Terminal Project
19844
13 19863
14 19862
15
A uniform model of interaction in interactive systems
19872
16
The Proposed DARPA IP-to-X.25 Interface Standard: Performance Optimization with Multiple Circuits
19831

About John T. Korb

John T. Korb is a scholar working on Computer Networks and Communications, Computer Science Applications, Information Systems and Management, Hardware and Architecture and Artificial Intelligence, having authored 16 papers that have together received 858 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (5 papers), Teaching and Learning Programming (5 papers), Distributed systems and fault tolerance (3 papers), Scientific Computing and Data Management (3 papers), Evolutionary Algorithms and Applications (2 papers), Mobile Agent-Based Network Management (2 papers), Educational Games and Gamification (2 papers) and Integrated Circuits and Semiconductor Failure Analysis (1 paper). The work is most often cited by research in Computer Science Applications (708 citations), Developmental and Educational Psychology (328 citations), Software (64 citations), Media Technology (128 citations) and Hardware and Architecture (54 citations). John T. Korb has collaborated with scholars based in United States and France. Frequent co-authors include Susanne E. Hambrusch, Aman Yadav, Ninger Zhou, Chris Mayfield, Christoph M. Hoffmann, Antony L. Hosking, Mark P. Haugan, David R. Hanson, Ralph E. Griswold and Douglas E. Comer. Their work appears in journals such as ACM SIGCOMM Computer Communication Review, ACM Transactions on Programming Languages and Systems, ACM Transactions on Computing Education, Communications of the ACM and ACM SIGCSE Bulletin.

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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