Rajeev Gandhi

1.8k citations
56 papers · 1.1k indexed · h-index 15

Rajeev Gandhi

48 papers receiving 1.1k citations

Peers

Rajeev Gandhi
Comparison fields: 5 of 78
  • Computer Networks and Communications 839
  • Information Systems 566
  • Software 78
  • Hardware and Architecture 70
  • Artificial Intelligence 213
Replace Tim Brecht with:
Tim Brecht Canada
Umesh Shankar United States
Daoxu Chen China
Yoji Yamato Japan
Christos Tsigkanos Austria
Magnus Almgren Sweden
Decheng Zuo China
Robin Berthier United States
Xiumin Zhou China
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Citations per year

Countries citing papers authored by Rajeev Gandhi

Since Specialization
Citations

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

Fields of papers citing papers by Rajeev Gandhi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20231
2 20180
3 20180
4 20181
5 20180
6 20180
7 20180
8 20180
9
PCFIRE: Towards provable preventative Control-Flow Integrity enforcement for realistic embedded software
20163
10 201388
11
YinzCam: experiences with in-venue mobile video and replays
20133
12 2013112
13
To Auto Scale or Not to Auto Scale
201314
14
Theia: Visual Signatures for Problem Diagnosis in Large Hadoop Clusters.
20135
15 201215
16 201036
17
Behavior-based problem localization for parallel file systems
20103
18
Effect of Different Particle Sizes of Jaggery Powder on Storability
201011
19
ASDF: An Automated, Online Framework for Diagnosing Performance Problems.
20091
20
Fingerpointing correlated failures in replicated systems
200713

About Rajeev Gandhi

Rajeev Gandhi is a scholar working on Computer Networks and Communications, Information Systems and Software, having authored 56 papers that have together received 1.1k indexed citations. Recurring topics across this work include Software System Performance and Reliability (25 papers), Cloud Computing and Resource Management (18 papers), Distributed systems and fault tolerance (11 papers), Network Security and Intrusion Detection (8 papers), IoT and Edge/Fog Computing (7 papers), Advanced Malware Detection Techniques (6 papers), Security and Verification in Computing (5 papers) and Peer-to-Peer Network Technologies (4 papers). The work is most often cited by research in Computer Networks and Communications (839 citations), Information Systems (566 citations) and Software (78 citations). Rajeev Gandhi has collaborated with scholars based in United States, Singapore and Portugal. Frequent co-authors include Priya Narasimhan, Jiaqi Tan, Soila Kavulya, Utsav Drolia, Xinghao Pan, Katherine Guo, Rolando Martins, Richard Brull, Vincent Chan and Cyrus Tse. Their work appears in journals such as Regional Anesthesia & Pain Medicine, ACM SIGOPS Operating Systems Review and ACM SIGMETRICS Performance Evaluation Review.

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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