Jonathan Pakianathan

436 citations
26 papers · 222 · h-index 8

Impact in

Papers in

Jonathan Pakianathan

23 papers receiving 209 citations

Peers

Jonathan Pakianathan
Comparison fields: 5 of 38
  • Discrete Mathematics and Combinatorics 81
  • Geometry and Topology 81
  • Mathematical Physics 73
  • Algebra and Number Theory 23
  • Astronomy and Astrophysics 57
Replace Patrick D. Shanahan with:
Patrick D. Shanahan United States
Yu. V. Chekanov Russia
Eng-Chye Tan Singapore
Mark Losik Russia
Ewain Gwynne United States
Viacheslav Valentinovich Nikulin Russia
Jiri Dadok United States
Christophe Garban France
Alexander Nabutovsky Canada
Reginald M. W. Wood United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Jonathan Pakianathan

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Pakianathan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Jonathan Pakianathan, 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 Jonathan Pakianathan Line = papers co-authored together Jonathan Pakianathan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199465
2 201630
3 200828
4 201419
5 201612
6 199910
7 201610
8 201110
9 20015
10 20024
11 20204
12 20024
13 20004
14 19993
15 20003
16 20183
17 19992
18 20131
19
Cohomology of certain p-groups associated to Lie algebras
19971
20 20051

About Jonathan Pakianathan

Jonathan Pakianathan is a scholar working on Geometry and Topology, Discrete Mathematics and Combinatorics, Mathematical Physics, Algebra and Number Theory and Computational Theory and Mathematics, having authored 26 papers that have together received 222 indexed citations. Recurring topics across this work include Homotopy and Cohomology in Algebraic Topology (9 papers), Finite Group Theory Research (8 papers), Algebraic structures and combinatorial models (8 papers), Geometric and Algebraic Topology (7 papers), Algebraic Geometry and Number Theory (5 papers), Advanced Topics in Algebra (5 papers), Limits and Structures in Graph Theory (4 papers) and Coding theory and cryptography (3 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (81 citations), Geometry and Topology (81 citations), Mathematical Physics (73 citations), Algebra and Number Theory (23 citations) and Astronomy and Astrophysics (57 citations). Jonathan Pakianathan has collaborated with scholars based in United States, Türkiye and Brazil. Frequent co-authors include Alex Iosevich, Charles R Lawrence, William Nielsen Brandt, Anthony C. S. Readhead, Michael A. Bennett, Fred Cohen, Derrick Hart, Jie Wu, William Browder and Misha Rudnev. Their work appears in journals such as Journal of Pure and Applied Algebra, Transactions of the American Mathematical Society, Forum Mathematicum, Journal of Functional Analysis and The Astrophysical Journal.

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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