Mayank Bawa

2.8k citations
23 papers · 1.5k · h-index 15

Impact in

Papers in

Mayank Bawa

22 papers receiving 1.4k citations

Peers

Mayank Bawa
Comparison fields: 5 of 64
  • Computer Networks and Communications 952
  • Signal Processing 303
  • Information Systems 470
  • Artificial Intelligence 451
  • Computational Theory and Mathematics 208
Replace Narayanan Shivakumar with:
Narayanan Shivakumar United States
Prasanna Ganesan United States
Kun‐Lung Wu United States
Ron Sacks‐Davis Australia
N. Roussopoulos United States
Jingren Zhou United States
Sean Rhea United States
Taneli Mielikäinen Finland
Reid Andersen United States
Oded Shmueli Israel
Mayank Bawa relative to Narayanan Shivakumar United States Narayanan Shivakumar's profile →
Citations per field
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Narayanan Shivakumar · 1×
Citations per year

Countries citing papers authored by Mayank Bawa

Since Specialization
Citations

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

Fields of papers citing papers by Mayank Bawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Symphony: distributed hashing in a small world
2003266
2 2005230
3 2000161
4
Streaming Live Media over a Peer-to-Peer Network
2001135
5
Two Can Keep a Secret: A Distributed Architecture for Secure Database Services
2005134
6
Estimating Aggregates on a Peer-to-Peer Network
2003119
7 200399
8 200085
9 200458
10 200340
11
Streaming Live Media over Peers
200237
12 200331
13 200927
14 200326
15 200619
16
Enabling Privacy for the Paranoids
20046
17
Protecting the PIPE from malicious peers
20026
18
Distributed Balanced Tables: Not Making a Hash of it all
20036
19 20035
20 20043

About Mayank Bawa

Mayank Bawa is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition, having authored 23 papers that have together received 1.5k indexed citations. Recurring topics across this work include Peer-to-Peer Network Technologies (15 papers), Caching and Content Delivery (12 papers), Data Management and Algorithms (3 papers), Distributed systems and fault tolerance (3 papers), Data Mining Algorithms and Applications (3 papers), Privacy-Preserving Technologies in Data (3 papers), Cryptography and Data Security (3 papers) and Advanced Data Storage Technologies (3 papers). The work is most often cited by research in Computer Networks and Communications (952 citations), Signal Processing (303 citations), Information Systems (470 citations), Artificial Intelligence (451 citations) and Computational Theory and Mathematics (208 citations). Mayank Bawa has collaborated with scholars based in United States and Finland. Frequent co-authors include Héctor García-Molina, Gurmeet Singh Manku, Prabhakar Raghavan, Prasanna Ganesan, Tyson Condie, Hrishikesh Deshpande, Rajeev Motwani, Aristides Gionis, Gaurav Bhalotia and Jayant R. Haritsa. Their work appears in journals such as ACM SIGMOD Record, Journal of Computer and System Sciences, ACM SIGCOMM Computer Communication Review, The VLDB Journal and Future Generation Computer Systems.

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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