Krishanu Maulik

478 citations
21 papers · 222 · h-index 8

Impact in

Papers in

Krishanu Maulik

20 papers receiving 205 citations

Peers

Krishanu Maulik
Comparison fields: 5 of 30
  • Finance 107
  • Statistics and Probability 68
  • Mathematical Physics 68
  • Management Science and Operations Research 84
  • Management Information Systems 29
Replace Lucia Caramellino with:
Lucia Caramellino Italy
Jesper Lund Pedersen Denmark
Lingjiong Zhu United States
Denis Denisov United Kingdom
David Gilat Israel
А. А. Новиков Russia
Thomas Simon France
N. V. Kartashov Ukraine
Tomoyuki Ichiba United States
Mladen Savov Bulgaria
Krishanu Maulik relative to Lucia Caramellino Italy Lucia Caramellino's profile →
Citations per field
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Lucia Caramellino · 1×
Citations per year

Countries citing papers authored by Krishanu Maulik

Since Specialization
Citations

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

Fields of papers citing papers by Krishanu Maulik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 5 scholars most cited alongside Krishanu Maulik, 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 Krishanu Maulik Line = papers co-authored together Krishanu Maulik links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200467
2 200257
3 200319
4 200213
5
A network traffic model with random transmission rate
200212
6 200311
7 20087
8 20097
9 20096
10 20115
11 20054
12 20123
13 20092
14 20162
15 20192
16
Stochastic Approximation with Random Step Sizes and Urn Models with Random Replacement Matrices
20171
17 20071
18 20131
19 20081
20 20061

About Krishanu Maulik

Krishanu Maulik is a scholar working on Mathematical Physics, Statistics and Probability, Finance, Management Science and Operations Research and Artificial Intelligence, having authored 21 papers that have together received 222 indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (13 papers), Random Matrices and Applications (8 papers), Probability and Risk Models (6 papers), Bayesian Methods and Mixture Models (5 papers), Stochastic processes and financial applications (4 papers), Theoretical and Computational Physics (4 papers), Mathematical Dynamics and Fractals (4 papers) and Network Traffic and Congestion Control (3 papers). The work is most often cited by research in Finance (107 citations), Statistics and Probability (68 citations), Mathematical Physics (68 citations), Management Science and Operations Research (84 citations) and Management Information Systems (29 citations). Krishanu Maulik has collaborated with scholars based in India, United States and Sweden. Frequent co-authors include Sidney I. Resnick, Holger Rootzén, Sidney I. Resnick, Arup Bose and Bert Zwart. Their work appears in journals such as Journal of Applied Probability, Extremes, Advances in Applied Probability, Electronic Journal of Probability and Bernoulli.

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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