Elitza Maneva

1.8k citations
16 papers · 718 · h-index 10

Impact in

Papers in

Elitza Maneva

16 papers receiving 666 citations

Peers

Elitza Maneva
Comparison fields: 5 of 52
  • Computer Networks and Communications 450
  • Management Science and Operations Research 190
  • Computational Theory and Mathematics 143
  • Statistical and Nonlinear Physics 101
  • Discrete Mathematics and Combinatorics 20
Replace Petra Berenbrink with:
Petra Berenbrink Canada
Serge Gaspers Australia
Giuseppe Persiano Italy
Frances Rosamond Australia
Ingo Althöfer Germany
Makoto Imase Japan
Steve Chien United States
Simon Fischer Germany
Akihisa Tamura Japan
Danny Hermelin Israel
Elitza Maneva relative to Petra Berenbrink Canada Petra Berenbrink's profile →
Citations per field
00.5×1.5×2.3×
Petra Berenbrink · 1×
Citations per year

Countries citing papers authored by Elitza Maneva

Since Specialization
Citations

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

Fields of papers citing papers by Elitza Maneva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Elitza Maneva, 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 Elitza Maneva Line = papers co-authored together Elitza Maneva links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2003262
2 2004117
3 200560
4 200753
5 200952
6 201049
7 200634
8 200528
9 201323
10 200818
11 20127
12 20086
13 20114
14
Graph Isomorphism, Sherali-Adams Relaxations and Expressibility in Counting Logics.
20112
15 20112
16
Convex geometries in k-SAT problems
20071

About Elitza Maneva

Elitza Maneva is a scholar working on Computer Networks and Communications, Computational Theory and Mathematics, Artificial Intelligence, Molecular Biology and Signal Processing, having authored 16 papers that have together received 718 indexed citations. Recurring topics across this work include Advanced Graph Theory Research (6 papers), Error Correcting Code Techniques (5 papers), Constraint Satisfaction and Optimization (5 papers), Complexity and Algorithms in Graphs (4 papers), Data Management and Algorithms (3 papers), Cooperative Communication and Network Coding (3 papers), DNA and Biological Computing (3 papers) and Formal Methods in Verification (3 papers). The work is most often cited by research in Computer Networks and Communications (450 citations), Management Science and Operations Research (190 citations), Computational Theory and Mathematics (143 citations), Statistical and Nonlinear Physics (101 citations) and Discrete Mathematics and Combinatorics (20 citations). Elitza Maneva has collaborated with scholars based in United States, Spain and Switzerland. Frequent co-authors include Martin J. Wainwright, Christos H. Papadimitriou, Scott Shenker, Alex Fabrikant, Andrej Bogdanov, Samantha J. Riesenfeld, Elchanan Mossel, Albert Atserias, Amin Shokrollahi and Emin Martinian. Their work appears in journals such as SIAM Journal on Computing, Theoretical Computer Science, Journal of the ACM, SIAM Journal on Discrete Mathematics and IEEE Transactions on Information Theory.

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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