Ranjan Sinha

717 citations
20 papers · 415 · h-index 12

Impact in

Papers in

Ranjan Sinha

20 papers receiving 382 citations

Peers

Ranjan Sinha
Comparison fields: 5 of 58
  • Hardware and Architecture 67
  • Computer Vision and Pattern Recognition 119
  • Artificial Intelligence 169
  • Computer Networks and Communications 106
  • Signal Processing 27
Replace Antonio Fariña with:
Antonio Fariña Spain
William Hendrix United States
Abdullah N. Arslan United States
Weiren Yu China
Omid Fatemi Iran
Aamir Shafi United States
Younho Lee South Korea
Yinglong Xia United States
Scott Meyers United States
Marinella Sciortino Italy
Ranjan Sinha relative to Antonio Fariña Spain Antonio Fariña's profile →
Citations per field
00.5×1.6×
Antonio Fariña · 1×
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 19 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
#Work
1 2009105
2
Pruning SIFT for scalable near-duplicate image matching
200747
3 200933
4 200432
5
HAT-trie: a cache-conscious trie-based data structure for strings
200727
6 200727
7 200726
8 200521
9 200721
10 200817
11 201213
12 201012
13 200710
14 20158
15 20145
16 20103
17 20103
18 20242
19 20062
20
Efficient trie-based sorting of large sets of strings
20031

About Ranjan Sinha

Ranjan Sinha is a scholar working on Artificial Intelligence, Computer Networks and Communications, Hardware and Architecture, Molecular Biology and Information Systems, having authored 20 papers that have together received 415 indexed citations. Recurring topics across this work include Algorithms and Data Compression (10 papers), Network Packet Processing and Optimization (8 papers), Advanced Data Storage Technologies (5 papers), Genomics and Phylogenetic Studies (4 papers), Image Retrieval and Classification Techniques (4 papers), Advanced Image and Video Retrieval Techniques (4 papers), Data Stream Mining Techniques (2 papers) and Web Data Mining and Analysis (2 papers). The work is most often cited by research in Hardware and Architecture (67 citations), Computer Vision and Pattern Recognition (119 citations), Artificial Intelligence (169 citations), Computer Networks and Communications (106 citations) and Signal Processing (27 citations). Ranjan Sinha has collaborated with scholars based in Australia, United States and Singapore. Frequent co-authors include Justin Zobel, Simon J. Puglisi, Bertil Schmidt, Heiko Schröder, Jan Schröder, Bryan Beresford‐Smith, S. M. M. Tahaghoghi, Andrew Turpin, Alistair Moffat and Reimara Valk. Their work appears in journals such as Bioinformatics, The VLDB Journal, Frontiers in Nutrition, ACM Journal of Experimental Algorithmics and Journal of Indian Business Research.

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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