Inessa Levi

46 papers receiving 290 citations

Peers

Inessa Levi
Comparison fields: 5 of 62
  • Discrete Mathematics and Combinatorics 89
  • Computational Theory and Mathematics 235
  • Algebra and Number Theory 67
  • Geometry and Topology 109
  • Management Science and Operations Research 47
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David Easdown Australia
W. M. Beynon United Kingdom
Emil W. Kiss Hungary
John Meakin United States
Gretchen L. Matthews United States
G. S. Monk United States
Paul Pritchard Australia
Igor Ya. Subbotin United States
Ira J. Papick United States
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Citations per year

Countries citing papers authored by Inessa Levi

Since Specialization
Citations

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

Fields of papers citing papers by Inessa Levi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Inessa Levi, 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 Inessa Levi Line = papers co-authored together Inessa Levi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199424
2
An Investigation of Student Habits in Mathematics Courses.
199920
3 198520
4 199118
5 200016
6 199616
7 198715
8 200213
9 198312
10 200411
11 199811
12 198410
13 20019
14 19898
15 20037
16 19917
17 19917
18 19947
19 20037
20
Technology, Active Learning, and Retention in General Education Mathematics
20166

About Inessa Levi

Inessa Levi is a scholar working on Computational Theory and Mathematics, Management Science and Operations Research, Mathematical Physics, Algebra and Number Theory and Artificial Intelligence, having authored 51 papers that have together received 319 indexed citations. Recurring topics across this work include semigroups and automata theory (34 papers), Fuzzy and Soft Set Theory (12 papers), Advanced Algebra and Logic (11 papers), Mathematical Dynamics and Fractals (7 papers), Geometric and Algebraic Topology (6 papers), Rings, Modules, and Algebras (5 papers), graph theory and CDMA systems (4 papers) and Complex Network Analysis Techniques (4 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (89 citations), Computational Theory and Mathematics (235 citations), Algebra and Number Theory (67 citations), Geometry and Topology (109 citations) and Management Science and Operations Research (47 citations). Inessa Levi has collaborated with scholars based in United States, New Zealand and Portugal. Frequent co-authors include R. McFadden, Patricia B. Cerrito, George Barnes, Graham R. Wood, D. B. McAlister, Boris M. Schein, Jenő Lehel, K.C. O’Meara, James D. Mitchell and Paula Catarino. Their work appears in journals such as Semigroup Forum, Proceedings of the Edinburgh Mathematical Society, Journal of Algebra, Journal of Mathematical Sociology and Journal of Applied Probability.

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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