Ranjan Sinha

812 citations
36 papers · 579 · h-index 13

Impact in

Papers in

Ranjan Sinha

35 papers receiving 536 citations

Peers

Ranjan Sinha
Comparison fields: 5 of 82
  • Hardware and Architecture 95
  • Computer Vision and Pattern Recognition 157
  • Artificial Intelligence 210
  • Computer Networks and Communications 123
  • Signal Processing 34
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Guy Jacobson United States
José R. Paramá Spain
Kimmo Fredriksson Finland
Abdullah N. Arslan United States
Matthias Petri Australia
Martti Penttonen Finland
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Citations per field
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Citations per year

Countries citing papers authored by Ranjan Sinha

Since Specialization
Citations

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

Fields of papers citing papers by Ranjan Sinha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Ranjan Sinha, 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 Ranjan Sinha Line = papers co-authored together Ranjan Sinha links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009115
2
Pruning SIFT for scalable near-duplicate image matching
200753
3 200443
4 200940
5 200736
6
HAT-trie: a cache-conscious trie-based data structure for strings
200735
7 200729
8 200528
9 200723
10 200823
11 200615
12 201014
13 201213
14 202212
15 202111
16 201511
17 200711
18 20238
19 20146
20 20086

About Ranjan Sinha

Ranjan Sinha is a scholar working on Artificial Intelligence, Computer Networks and Communications, Hardware and Architecture, Molecular Biology and Computer Vision and Pattern Recognition, having authored 36 papers that have together received 579 indexed citations. Recurring topics across this work include Algorithms and Data Compression (14 papers), Network Packet Processing and Optimization (11 papers), Advanced Data Storage Technologies (7 papers), Advanced Image and Video Retrieval Techniques (6 papers), Image Retrieval and Classification Techniques (6 papers), Gut microbiota and health (4 papers), Web Data Mining and Analysis (3 papers) and Dietary Effects on Health (2 papers). The work is most often cited by research in Hardware and Architecture (95 citations), Computer Vision and Pattern Recognition (157 citations), Artificial Intelligence (210 citations), Computer Networks and Communications (123 citations) and Signal Processing (34 citations). Ranjan Sinha has collaborated with scholars based in Australia, United States and India. Frequent co-authors include Justin Zobel, Simon J. Puglisi, Bertil Schmidt, Heiko Schröder, Jan Schröder, Bryan Beresford‐Smith, Alistair Moffat, S. M. M. Tahaghoghi, Andrew Turpin and Anthony Wirth. Their work appears in journals such as Bioinformatics, Journal of Medical Internet Research, The VLDB Journal, Frontiers in Microbiology and IEEE Transactions on Magnetics.

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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