Pavel Curtis

960 total citations
12 papers, 514 citations indexed

About

Pavel Curtis is a scholar working on Computer Networks and Communications, Information Systems and Hardware and Architecture. According to data from OpenAlex, Pavel Curtis has authored 12 papers receiving a total of 514 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Networks and Communications, 3 papers in Information Systems and 3 papers in Hardware and Architecture. Recurrent topics in Pavel Curtis's work include Logic, programming, and type systems (3 papers), Advanced Data Storage Technologies (3 papers) and Parallel Computing and Optimization Techniques (2 papers). Pavel Curtis is often cited by papers focused on Logic, programming, and type systems (3 papers), Advanced Data Storage Technologies (3 papers) and Parallel Computing and Optimization Techniques (2 papers). Pavel Curtis collaborates with scholars based in United States and France. Pavel Curtis's co-authors include David A. Nichols, Michael Dixon, John Lamping, Brenda Laurel, Amy Bruckman, Ron Frederick, Norman I. Adams and Mike Spreitzer and has published in prestigious journals such as Teaching Sociology and eScholarship (California Digital Library).

In The Last Decade

Pavel Curtis

12 papers receiving 429 citations

Peers

Pavel Curtis
Comparison fields: 5 of 73
  • Sociology and Political Science 188
  • Human-Computer Interaction 156
  • Computer Networks and Communications 111
  • Artificial Intelligence 109
  • Communication 99
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Citations per field, relative to Pavel Curtis
Pavel Curtis · 1×
Citations per year, relative to Pavel Curtis
Pavel Curtis · 1×

Countries citing papers authored by Pavel Curtis

Since Specialization
Citations

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

Fields of papers citing papers by Pavel Curtis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pavel Curtis

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

All Works

12 of 12 papers shown
# Work Indexed citations
1 53
2
Mudding: Social phenomena in text-based virtual realities.
253
3
The AstroVR Collaboratory, an On-line Multi-User Environment for Research in Astrophysics
3
4 109
5 16
6 35
7 2
8 30
9 6
10
Constrained qualification in polymorphic type analysis
2
11 4
12
PLOT: A UNIX PROGRAM FOR INCLUDING GRAPHICS IN DOCUMENTS
1

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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