Bhuvan Bamba

927 citations
27 papers · 691 · h-index 10

Impact in

Papers in

Bhuvan Bamba

27 papers receiving 649 citations

Peers

Bhuvan Bamba
Comparison fields: 5 of 51
  • Computer Science Applications 94
  • Artificial Intelligence 468
  • Signal Processing 110
  • Transportation 57
  • Computer Networks and Communications 178
Replace Thomas Springer with:
Thomas Springer Germany
Karim Benouaret France
Roberto Yus United States
Vincent Bindschaedler United States
Marko Luther Germany
Tsunenori Mine Japan
Erik Buchmann Germany
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Thanh T. L. Tran United States
Seog Park South Korea
Bhuvan Bamba relative to Thomas Springer Germany Thomas Springer's profile →
Citations per field
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Citations per year

Countries citing papers authored by Bhuvan Bamba

Since Specialization
Citations

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

Fields of papers citing papers by Bhuvan Bamba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008340
2 200566
3 200953
4 200444
5 200530
6 200529
7
A Patient-centric, Attribute-based, Source-verifiable Framework for Health Record Sharing
200921
8 200919
9 201218
10 201015
11 200810
12 20097
13 20086
14 20045
15 20095
16
Safe Region Techniques for Fast Spatial Alarm Evaluation
20085
17 20184
18 20073
19 20132
20 20072

About Bhuvan Bamba

Bhuvan Bamba is a scholar working on Signal Processing, Computer Networks and Communications, Artificial Intelligence, Geography, Planning and Development and Information Systems, having authored 27 papers that have together received 691 indexed citations. Recurring topics across this work include Data Management and Algorithms (13 papers), Advanced Database Systems and Queries (6 papers), Semantic Web and Ontologies (5 papers), Context-Aware Activity Recognition Systems (4 papers), Geographic Information Systems Studies (4 papers), Privacy-Preserving Technologies in Data (4 papers), Biomedical Text Mining and Ontologies (3 papers) and Caching and Content Delivery (3 papers). The work is most often cited by research in Computer Science Applications (94 citations), Artificial Intelligence (468 citations), Signal Processing (110 citations), Transportation (57 citations) and Computer Networks and Communications (178 citations). Bhuvan Bamba has collaborated with scholars based in United States, India and Türkiye. Frequent co-authors include Ling Liu, Peter Pesti, Ting Wang, Sougata Mukherjea, Aameek Singh, Madhukar R. Korupolu, Philip S. Yu, Arun Iyengar, Mukesh Mohania and Prasan Roy. Their work appears in journals such as Proceedings of the VLDB Endowment, IEEE Transactions on Knowledge and Data Engineering, Lecture notes in computer science, Bilkent University Institutional Repository (Bilkent University) and SMARTech Repository (Georgia Institute of Technology).

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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