Amar Mukherjee

1.3k citations
72 papers · 813 indexed · h-index 16

Impact in

Papers in

Amar Mukherjee

64 papers receiving 726 citations

Peers

Amar Mukherjee
Comparison fields: 5 of 64
  • Hardware and Architecture 183
  • Computer Graphics and Computer-Aided Design 54
  • Artificial Intelligence 479
  • Computer Vision and Pattern Recognition 258
  • Computer Networks and Communications 192
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Ömer Eğecioǧlu United States
René Peralta United States
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Citations per field
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Citations per year

Countries citing papers authored by Amar Mukherjee

Since Specialization
Citations

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

Fields of papers citing papers by Amar Mukherjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20242
3 20084
4 20053
5
Compressed pattern matching for text and images
20051
6 20035
7 200310
8 200327
9 200216
10 20021
11 20024
12 20025
13 200228
14 200118
15 20000
16
Mapping Task Trees onto a Linear Array.
19916
17 19895
18 19881
19
Introduction to n MOS & VLSI systems design
19861
20 198210

About Amar Mukherjee

Amar Mukherjee is a scholar working on Hardware and Architecture, Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Computer Networks and Communications, having authored 72 papers that have together received 813 indexed citations. Recurring topics across this work include Algorithms and Data Compression (42 papers), Advanced Data Compression Techniques (12 papers), Network Packet Processing and Optimization (11 papers), Advanced Data Storage Technologies (10 papers), Cellular Automata and Applications (10 papers), Parallel Computing and Optimization Techniques (7 papers), Error Correcting Code Techniques (5 papers) and Advanced Electrical Measurement Techniques (5 papers). The work is most often cited by research in Hardware and Architecture (183 citations), Computer Graphics and Computer-Aided Design (54 citations), Artificial Intelligence (479 citations), Computer Vision and Pattern Recognition (258 citations) and Computer Networks and Communications (192 citations). Amar Mukherjee has collaborated with scholars based in United States, New Zealand and Australia. Frequent co-authors include Donald Adjeroh, Tim Bell, N. Ranganathan, M.A. Bassiouni, Holger Kruse, Weifeng Sun, T. Gheewala, Michael L. Klein, Tinku Acharya and Ravi Vijaya Satya. Their work appears in journals such as IEEE Transactions on Computers, IEEE Electron Device Letters, The Visual Computer, IEEE Transactions on Very Large Scale Integration (VLSI) Systems and Applied Physics Letters.

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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