V. Ramaswami

5.7k citations
65 papers · 3.8k · 1 hit paper · h-index 29

Impact in

Papers in

V. Ramaswami

63 papers receiving 3.6k citations

V. Ramaswami's Hit Papers

Introduction to Matrix Analytic Methods in Stochastic Modeling 1999 · 1.3k citations
1.3k0+9+18Years since publication4008001.2k

Peers

V. Ramaswami
Comparison fields: 5 of 95
  • Management Information Systems 2.7k
  • Management Science and Operations Research 1.3k
  • Statistics and Probability 810
  • Computer Networks and Communications 1.2k
  • Computational Mathematics 24
Replace Guy Latouche with:
Guy Latouche Belgium
Daniel P. Heyman United States
David M. Lucantoni United States
Marcel F. Neuts United States
Winfried K. Grassmann Canada
Upendra Dave India
Onno Boxma Netherlands
Martin I. Reiman United States
David D. Yao United States
Attahiru Sule Alfa Canada
V. Ramaswami relative to Guy Latouche Belgium Guy Latouche's profile →
Citations per field
00.5×1.5×2.1×
Guy Latouche · 1×
Citations per year

Countries citing papers authored by V. Ramaswami

Since Specialization
Citations

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

Fields of papers citing papers by V. Ramaswami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Introduction to Matrix Analytic Methods in Stochastic Modeling
Hit paper breakdown →
19991324
2 1993266
3 1985256
4 1980238
5 1988213
6
Matrix analytic methods for stochastic fluid flows
1999107
7 198578
8 198876
9 200569
10 198569
11 200465
12 200364
13 199664
14 200658
15 199057
16 200756
17 201254
18 201152
19 200841
20 198440

About V. Ramaswami

V. Ramaswami is a scholar working on Management Information Systems, Statistics and Probability, Management Science and Operations Research, Computer Networks and Communications and Computational Theory and Mathematics, having authored 65 papers that have together received 3.8k indexed citations. Recurring topics across this work include Advanced Queuing Theory Analysis (52 papers), Probability and Risk Models (16 papers), Random Matrices and Applications (14 papers), Network Traffic and Congestion Control (12 papers), Wireless Communication Networks Research (11 papers), Markov Chains and Monte Carlo Methods (8 papers), Simulation Techniques and Applications (6 papers) and Petri Nets in System Modeling (5 papers). The work is most often cited by research in Management Information Systems (2.7k citations), Management Science and Operations Research (1.3k citations), Statistics and Probability (810 citations), Computer Networks and Communications (1.2k citations) and Computational Mathematics (24 citations). V. Ramaswami has collaborated with scholars based in United States, South Korea and Belgium. Frequent co-authors include Guy Latouche, Soohan Ahn, David M. Lucantoni, Peter Franken, Volker Schmidt, Dieter König, Peter Taylor, Marcel F. Neuts, Andrei L. Badescu and A. Ravindran. Their work appears in journals such as Journal of Applied Probability, Stochastic Models, Queueing Systems, Performance Evaluation and Advances in Applied 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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