Alina Ene

36 papers receiving 482 citations

Peers

Alina Ene
Comparison fields: 5 of 59
  • Computational Mathematics 10
  • Computational Theory and Mathematics 183
  • Artificial Intelligence 297
  • Computer Graphics and Computer-Aided Design 27
  • Computer Networks and Communications 161
Replace B. S. Panda with:
B. S. Panda India
Bharath K. Samanthula United States
Stephen Alstrup Denmark
Irene Finocchi Italy
Stefan Schönauer United States
Edward L. Robertson United States
Andrew Fish United Kingdom
Matti J„ärvisalo Finland
Anup Rao United States
Mike Rosulek United States
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Citations per field
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Citations per year

Countries citing papers authored by Alina Ene

Since Specialization
Citations

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

Fields of papers citing papers by Alina Ene

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Alina Ene, 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 Alina Ene Line = papers co-authored together Alina Ene links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008149
2 2011130
3 201428
4 201623
5 201121
6 201518
7
Prize-collecting Steiner Problems on Planar Graphs
201115
8 201314
9 202113
10 201711
11 201111
12 201910
13 20129
14 20136
15 20146
16 20145
17 20204
18 20214
19 20134
20 20174

About Alina Ene

Alina Ene is a scholar working on Computational Theory and Mathematics, Computer Networks and Communications, Artificial Intelligence, Industrial and Manufacturing Engineering and Cognitive Neuroscience, having authored 39 papers that have together received 518 indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (30 papers), Optimization and Search Problems (19 papers), Advanced Graph Theory Research (15 papers), Cryptography and Data Security (9 papers), Stochastic Gradient Optimization Techniques (4 papers), Neural and Behavioral Psychology Studies (3 papers), Computational Geometry and Mesh Generation (3 papers) and Optimization and Packing Problems (3 papers). The work is most often cited by research in Computational Mathematics (10 citations), Computational Theory and Mathematics (183 citations), Artificial Intelligence (297 citations), Computer Graphics and Computer-Aided Design (27 citations) and Computer Networks and Communications (161 citations). Alina Ene has collaborated with scholars based in United States, United Kingdom and Poland. Frequent co-authors include Sungjin Im, Benjamin Moseley, Huy L. Nguyên, William Horne, Prasad Rao, Robert E. Tarjan, Nikola Milosavljević, Robert Schreiber, Chandra Chekuri and Justin Ward. Their work appears in journals such as Mathematical Programming, Mathematics of Operations Research, SIAM Journal on Computing, SIAM Journal on Discrete Mathematics and Entertainment Computing.

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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