M. Ladra

1.4k citations
115 papers · 778 · h-index 15

Impact in

Papers in

M. Ladra

104 papers receiving 742 citations

Peers

M. Ladra
Comparison fields: 5 of 41
  • Algebra and Number Theory 659
  • Geometry and Topology 633
  • Mathematical Physics 378
  • Discrete Mathematics and Combinatorics 74
  • Statistical and Nonlinear Physics 103
Replace Miriam Cohen with:
Miriam Cohen Israel
Ualbai Umirbaev Kazakhstan
J. M. Casas Spain
Zhang Jian-hua China
Vesselin Drensky Bulgaria
Ian F. Putnam Canada
Paul Voutier United Kingdom
Dominique Manchon France
I. P. Shestakov Brazil
B. A. Omirov Uzbekistan
M. Ladra relative to Miriam Cohen Israel Miriam Cohen's profile →
Citations per field
00.5×8.7×
Miriam Cohen · 1×
Citations per year

Countries citing papers authored by M. Ladra

Since Specialization
Citations

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

Fields of papers citing papers by M. Ladra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside M. Ladra, 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 M. Ladra Line = papers co-authored together M. Ladra links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 115 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201248
2 201234
3 201333
4 201132
5 200828
6 201326
7 201326
8 199423
9 201421
10 201318
11 199516
12 199816
13 201216
14 201515
15 200814
16 201513
17 201312
18 200611
19 200611
20 200310

About M. Ladra

M. Ladra is a scholar working on Geometry and Topology, Algebra and Number Theory, Mathematical Physics, Computational Theory and Mathematics and Discrete Mathematics and Combinatorics, having authored 115 papers that have together received 778 indexed citations. Recurring topics across this work include Advanced Topics in Algebra (91 papers), Algebraic structures and combinatorial models (87 papers), Homotopy and Cohomology in Algebraic Topology (62 papers), Advanced Operator Algebra Research (10 papers), Rings, Modules, and Algebras (9 papers), Geometric and Algebraic Topology (8 papers), Matrix Theory and Algorithms (7 papers) and Finite Group Theory Research (7 papers). The work is most often cited by research in Algebra and Number Theory (659 citations), Geometry and Topology (633 citations), Mathematical Physics (378 citations), Discrete Mathematics and Combinatorics (74 citations) and Statistical and Nonlinear Physics (103 citations). M. Ladra has collaborated with scholars based in Spain, Uzbekistan and Georgia. Frequent co-authors include J. M. Casas, B. A. Omirov, U. A. Rozikov, Uygun Jamilov, Abror Khudoyberdiyev, Teimuraz Pirashvili, Susana Ladra, Anthony Bak, L.M. Camacho and J.R. Gómez. Their work appears in journals such as Journal of Algebra, Journal of Pure and Applied Algebra, Linear Algebra and its Applications, Homology Homotopy and Applications and Forum Mathematicum.

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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