Timothy J. Long

38 papers receiving 578 citations

Peers

Timothy J. Long
Comparison fields: 5 of 79
  • Computational Theory and Mathematics 381
  • Artificial Intelligence 279
  • Information Systems 105
  • Computer Science Applications 104
  • Computer Networks and Communications 61
Replace Rinus Plasmeijer with:
Rinus Plasmeijer Netherlands
Attilio Giordana Italy
Giorgio Delzanno Italy
Paul L. Jones United States
Carsten Gutwenger Germany
Jon L. White United States
Ilyes Jenhani Saudi Arabia
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Zhifei Li China
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Timothy J. Long relative to Rinus Plasmeijer Netherlands Rinus Plasmeijer's profile →
Citations per field
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Citations per year

Countries citing papers authored by Timothy J. Long

Since Specialization
Citations

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

Fields of papers citing papers by Timothy J. Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Timothy J. Long. 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 Timothy J. Long. The network helps show where Timothy J. Long may publish in the future.

Co-authorship network of co-authors of Timothy J. Long

This figure shows the co-authorship network connecting the top 25 collaborators of Timothy J. Long. A scholar is included among the top collaborators of Timothy J. Long 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 Timothy J. Long. Timothy J. Long is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 5
2
Analysis and Prevention of Child Ejections from Golf Cars and Personal Transport Vehicles
4
3
Vehicle Performance Characteristics and Seat Belt Effectiveness in Low Speed Vehicles and Golf Cars
4
4 5
5 8
6 16
7 13
8
Parallel complexity of discrete problems /
1
9 60
10 1
11 6
12 4
13
A Note on One-Way Functions and Polynomial-Time Isomorphisms (Extended Abstract)
1
14 35
15 35
16 22
17 68
18 21
19 2
20 10

About Timothy J. Long

Timothy J. Long is a scholar working on Computer Science Applications, Computational Theory and Mathematics and Software, having authored 39 papers that have together received 671 indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (12 papers), Software Engineering Research (10 papers) and Teaching and Learning Programming (9 papers). The work is most often cited by research in Computational Theory and Mathematics (381 citations), Computer Science Applications (104 citations) and Software (54 citations). Timothy J. Long has collaborated with scholars based in United States and Israel. Frequent co-authors include Alan L. Selman, Bruce W. Weide, Ronald V. Book, Paolo Bucci, David G. M. Mitchell, Peter M. Chapman, Ding‐Zhu Du, Murali Sitaraman, Ker‐I Ko and David Gibson. Their work appears in journals such as Journal of the ACM, Environmental Toxicology and Chemistry and SAE technical papers on CD-ROM/SAE technical paper series.

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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