Deborah Joseph

1.4k citations
21 papers · 568 · h-index 10

Impact in

Papers in

Deborah Joseph

19 papers receiving 507 citations

Peers

Deborah Joseph
Comparison fields: 5 of 54
  • Computer Graphics and Computer-Aided Design 156
  • Computational Theory and Mathematics 340
  • Computer Vision and Pattern Recognition 127
  • Computer Networks and Communications 137
  • Artificial Intelligence 114
Replace Lyle Ramshaw with:
Lyle Ramshaw United States
Jurek Czyzowicz Canada
Jeffrey S. Salowe United States
Sergey Bereg United States
M. Sharir United States
Michael M. Hoffmann Switzerland
Vida Dujmović Canada
Stefan Näher Germany
Hubert de Fraysseix France
Hossam ElGindy Australia
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Citations per field
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Citations per year

Countries citing papers authored by Deborah Joseph

Since Specialization
Citations

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

Fields of papers citing papers by Deborah Joseph

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Deborah Joseph, 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 Deborah Joseph Line = papers co-authored together Deborah Joseph links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993294
2 198572
3 198456
4 198536
5 198216
6 199116
7 198615
8 198112
9 198711
10 19939
11 19928
12 19907
13 19804
14 19933
15 19933
16 19832
17 19881
18 19811
19
Resources for Workplace Diversity: An Annotated Practitioner Guide to Information
20011
20 20021

About Deborah Joseph

Deborah Joseph is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering and Geometry and Topology, having authored 21 papers that have together received 568 indexed citations. Recurring topics across this work include Computability, Logic, AI Algorithms (10 papers), Complexity and Algorithms in Graphs (7 papers), semigroups and automata theory (5 papers), Robotic Path Planning Algorithms (4 papers), Advanced Topology and Set Theory (2 papers), Logic, programming, and type systems (2 papers), Numerical Methods and Algorithms (2 papers) and Advanced Graph Theory Research (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (156 citations), Computational Theory and Mathematics (340 citations), Computer Vision and Pattern Recognition (127 citations), Computer Networks and Communications (137 citations) and Artificial Intelligence (114 citations). Deborah Joseph has collaborated with scholars based in United States, Canada and Brazil. Frequent co-authors include Gautam Das, José Soares, Ingo Althöfer, David Dobkin, Paul R. Young, John E. Hopcroft, Sue Whitesides, Judy Goldsmith, Lane A. Hemachandra and Danilo Bruschi. Their work appears in journals such as Journal of Computer and System Sciences, SIAM Journal on Computing, Theoretical Computer Science, International Journal of Foundations of Computer Science and Computational Complexity.

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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