T. Johnson

607 citations
31 papers · 356 · h-index 11

Impact in

    • Distributed systems and fault tolerance
    • Advanced Database Systems and Queries
    • Advanced Data Storage Technologies
    • Distributed and Parallel Computing Systems
    • Network Traffic and Congestion Control
    • Parallel Computing and Optimization Techniques

Papers in

T. Johnson

27 papers receiving 333 citations

Peers

T. Johnson
Comparison fields: 5 of 40
  • Computer Networks and Communications 304
  • Hardware and Architecture 74
  • Signal Processing 102
  • Information Systems 79
  • Artificial Intelligence 101
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Citations per field
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Citations per year

Countries citing papers authored by T. Johnson

Since Specialization
Citations

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

Fields of papers citing papers by T. Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside T. Johnson, 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 T. Johnson Line = papers co-authored together T. Johnson 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 200068
2 199338
3 200237
4 198934
5 198625
6 200322
7 200315
8 199715
9
Hierarchically Split Cube Forests for Decision Support: description and tuned design
199615
10 199311
11 199510
12 20029
13 20038
14 20158
15 19967
16 20166
17 20025
18 20125
19 20154
20 19953

About T. Johnson

T. Johnson is a scholar working on Computer Networks and Communications, Hardware and Architecture, Signal Processing, Artificial Intelligence and Information Systems, having authored 31 papers that have together received 356 indexed citations. Recurring topics across this work include Distributed systems and fault tolerance (11 papers), Parallel Computing and Optimization Techniques (10 papers), Data Management and Algorithms (8 papers), Advanced Data Storage Technologies (8 papers), Advanced Database Systems and Queries (5 papers), Real-Time Systems Scheduling (4 papers), Metaheuristic Optimization Algorithms Research (4 papers) and Data Mining Algorithms and Applications (3 papers). The work is most often cited by research in Computer Networks and Communications (304 citations), Hardware and Architecture (74 citations), Signal Processing (102 citations), Information Systems (79 citations) and Artificial Intelligence (101 citations). T. Johnson has collaborated with scholars based in United States, India and Denmark. Frequent co-authors include Dennis Shasha, Sharma Chakravarthy, Anna Hác, Damianos Chatziantoniou, Adrian Colbrook, H. V. Jagadish, Flip Korn, Nick Duffield, Albert Greenberg and Charles Kalmanek. Their work appears in journals such as ACM SIGCOMM Computer Communication Review, ACM SIGMOD Record, IEEE Transactions on Parallel and Distributed Systems, Journal of Parallel and Distributed Computing and Performance Evaluation.

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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