M. L. Chaudhry

2.1k citations
118 papers · 1.6k indexed · h-index 20

M. L. Chaudhry

111 papers receiving 1.5k citations

Peers

M. L. Chaudhry
Comparison fields: 5 of 67
  • Management Information Systems 1.4k
  • Management Science and Operations Research 607
  • Computer Networks and Communications 590
  • Statistics and Probability 187
  • Transportation 139
Replace L. D. Servi with:
L. D. Servi United States
J. W. Cohen Netherlands
Alexander Dudin Belarus
Bharat T. Doshi United States
G. Falin Russia
Tetsuya Takine Japan
Naishuo Tian China
Bong Dae Choi South Korea
Yiqiang Q. Zhao Canada
Masakiyo Miyazawa Japan
M. L. Chaudhry relative to L. D. Servi United States L. D. Servi's profile →
Citations per field
00.5×2.7×
L. D. Servi · 1×
Citations per year

Countries citing papers authored by M. L. Chaudhry

Since Specialization
Citations

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

Fields of papers citing papers by M. L. Chaudhry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20221
3 20210
4 20193
5 20162
6 201416
7 20122
8 200910
9 200810
10 200629
11 200426
12 200315
13 200313
14 20017
15 19969
16 199211
17 19917
18 198919
19 19879
20 198413

About M. L. Chaudhry

M. L. Chaudhry is a scholar working on Management Information Systems, Management Science and Operations Research and Statistics and Probability, having authored 118 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced Queuing Theory Analysis (112 papers), Probability and Risk Models (42 papers), Network Traffic and Congestion Control (31 papers), Simulation Techniques and Applications (26 papers), Reliability and Maintenance Optimization (16 papers), Wireless Communication Networks Research (15 papers), Random Matrices and Applications (10 papers) and Advanced Wireless Network Optimization (10 papers). The work is most often cited by research in Management Information Systems (1.4k citations), Management Science and Operations Research (607 citations) and Computer Networks and Communications (590 citations). M. L. Chaudhry has collaborated with scholars based in Canada, India and South Korea. Frequent co-authors include J. G. C. Templeton, C. D. Litton, Umesh Gupta, S. K. Samanta, Umesh Gupta, A. D. Banik, António Pacheco, Veena Goswami, Winfried K. Grassmann and Carl M. Harris. Their work appears in journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and Operations Research.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026