D. Yogeshwaran

508 citations
24 papers · 216 indexed · h-index 8
Topics
Topological and Geometric Data Analysis (11 papers)Stochastic processes and statistical mechanics (10 papers)Point processes and geometric inequalities (7 papers)
Partner nations
IndiaUnited StatesFrance

In The Last Decade

D. Yogeshwaran

22 papers receiving 206 citations

Peers

D. Yogeshwaran
Comparison fields: 5 of 42
  • Computer Networks and Communications 72
  • Computational Theory and Mathematics 68
  • Mathematical Physics 58
  • Applied Mathematics 51
  • Electrical and Electronic Engineering 42
Replace Chinnaraji Annamalai with:
Chinnaraji Annamalai India
Hua‐Huai Chern Taiwan
F. Barthe France
Sudhir R. Ghorpade India
Gérard Letac France
Dmitry S. Kaliuzhnyi-Verbovetskyi United States
Joe Neeman United States
Michèle Soria France
Simon Plouffe Canada
Fernanda Botelho United States
D. Yogeshwaran relative to Chinnaraji Annamalai India Chinnaraji Annamalai's profile →
Citations per field
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Chinnaraji Annamalai · 1×
Citations per year

Countries citing papers authored by D. Yogeshwaran

Since Specialization
Citations

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

Fields of papers citing papers by D. Yogeshwaran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Yogeshwaran

This figure shows the co-authorship network connecting the top 25 collaborators of D. Yogeshwaran. A scholar is included among the top collaborators of D. Yogeshwaran based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with D. Yogeshwaran. D. Yogeshwaran is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 3
3 0
4 9
5 2
6 4
7 3
8 4
9 25
10 6
11 39
12 3
13 9
14 3
15 3
16
Limit laws for k-coverage of paths by a Markov-Boolean model
1
17 62
18 10
19 2
20
On the Path Tracking Properties of Random Sensor Networks
6

About D. Yogeshwaran

D. Yogeshwaran is a scholar working on Statistics and Probability, Mathematical Physics and Computational Theory and Mathematics, having authored 24 papers that have together received 216 indexed citations. Recurring topics across this work include Topological and Geometric Data Analysis (11 papers), Stochastic processes and statistical mechanics (10 papers) and Point processes and geometric inequalities (7 papers). The work is most often cited by research in Mathematical Physics (58 citations), Applied Mathematics (51 citations) and Statistics and Probability (40 citations). D. Yogeshwaran has collaborated with scholars based in India, United States and France. Frequent co-authors include Srikanth K. Iyer, D. Manjunath, S. Sundhar Ram, Bartłomiej Błaszczyszyn, Robert J. Adler, Eliran Subag, J. E. Yukich, Primož Škraba, Omer Bobrowski and Günter Last. Their work appears in journals such as Journal of Statistical Physics, IEEE Transactions on Mobile Computing and The Annals of Probability.

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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