Mircea Merca

95 papers receiving 672 citations

Peers

Mircea Merca
Comparison fields: 5 of 39
  • Discrete Mathematics and Combinatorics 467
  • Algebra and Number Theory 605
  • Applied Mathematics 184
  • Theoretical Computer Science 15
  • Geometry and Topology 96
Replace Krishnaswami Alladi with:
Krishnaswami Alladi United States
Michael D. Hirschhorn Australia
Qiu-Ming Luo China
Tewodros Amdeberhan United States
F. T. Howard United States
A. A. Karatsuba Russia
Wenpeng Zhang China
Mark Shattuck United States
Sinai Robins United States
Jósé L. Ramírez Colombia
Mircea Merca relative to Krishnaswami Alladi United States Krishnaswami Alladi's profile →
Citations per field
00.5×9.8×
Krishnaswami Alladi · 1×
Citations per year

Countries citing papers authored by Mircea Merca

Since Specialization
Citations

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

Fields of papers citing papers by Mircea Merca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Mircea Merca, 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 Mircea Merca Line = papers co-authored together Mircea Merca links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 110 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201280
2 201748
3 201339
4 201631
5 201130
6 201422
7 201821
8 201918
9 201317
10 201917
11 201216
12 201615
13 201915
14 201615
15 202013
16 201513
17 201411
18 201511
19 201911
20 201511

About Mircea Merca

Mircea Merca is a scholar working on Algebra and Number Theory, Discrete Mathematics and Combinatorics, Applied Mathematics, Geometry and Topology and Statistical and Nonlinear Physics, having authored 110 papers that have together received 724 indexed citations. Recurring topics across this work include Advanced Mathematical Identities (98 papers), Advanced Combinatorial Mathematics (71 papers), Analytic Number Theory Research (64 papers), Mathematical functions and polynomials (15 papers), Advanced Mathematical Theories and Applications (14 papers), Mathematics and Applications (12 papers), Advanced Mathematical Theories (8 papers) and Mathematical Inequalities and Applications (5 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (467 citations), Algebra and Number Theory (605 citations), Applied Mathematics (184 citations), Theoretical Computer Science (15 citations) and Geometry and Topology (96 citations). Mircea Merca has collaborated with scholars based in Romania, United States and Canada. Frequent co-authors include George E. Andrews, Cristina Ballantine, Ae Ja Yee, Jacob Katriel, Alejandro Cuza, Emil Simion, George R. Beck, Bruce E. Sagan, Tewodros Amdeberhan and Ken Ono. Their work appears in journals such as The Ramanujan Journal, Journal of Number Theory, Revista de la Real Academia de Ciencias Exactas Físicas y Naturales Serie A Matemáticas, Journal of Combinatorial Theory Series A and Annals of Combinatorics.

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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