M. Chawathe

466 citations
10 papers · 300 indexed · h-index 7

Impact in

Papers in

M. Chawathe

10 papers receiving 267 citations

Peers

M. Chawathe
Comparison fields: 5 of 37
  • Hardware and Architecture 185
  • Computer Vision and Pattern Recognition 95
  • Computer Networks and Communications 104
  • Media Technology 32
  • Signal Processing 22
Replace Jani Boutellier with:
Jani Boutellier Finland
Peter M. Athanas United States
Hiroyuki Ochi Japan
Maxime Pelcat France
Jens Hagemeyer Germany
Paolo Zicari Italy
T. Chen United States
K. Masselos Greece
Xiaolang Yan China
Christopher Rowen United States
M. Chawathe relative to Jani Boutellier Finland Jani Boutellier's profile →
Citations per field
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Jani Boutellier · 1×
Citations per year

Countries citing papers authored by M. Chawathe

Since Specialization
Citations

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

Fields of papers citing papers by M. Chawathe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside M. Chawathe, 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 M. Chawathe Line = papers co-authored together M. Chawathe links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1
Hardware compilation of streams and processes
20062
2 20056
3 200396
4 200362
5 20034
6 200313
7 200218
8 200263
9 20017
10 200129

About M. Chawathe

M. Chawathe is a scholar working on Hardware and Architecture, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Computational Theory and Mathematics and Control and Systems Engineering, having authored 10 papers that have together received 300 indexed citations. Recurring topics across this work include Embedded Systems Design Techniques (6 papers), CCD and CMOS Imaging Sensors (6 papers), Parallel Computing and Optimization Techniques (5 papers), Advanced Vision and Imaging (3 papers), Advanced Image and Video Retrieval Techniques (2 papers), Numerical Methods and Algorithms (1 paper), Medical Image Segmentation Techniques (1 paper) and Image and Signal Denoising Methods (1 paper). The work is most often cited by research in Hardware and Architecture (185 citations), Computer Vision and Pattern Recognition (95 citations), Computer Networks and Communications (104 citations), Media Technology (32 citations) and Signal Processing (22 citations). M. Chawathe has collaborated with scholars based in United States. Frequent co-authors include Charles A. Ross, Bruce A. Draper, Walid Najjar, Stanislav Böhm, W. Böhm, J. Ross Beveridge, Arun Singh Patel, J. Bins and Ross Beveridge. Their work appears in journals such as Computer, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, IEEE Transactions on Image Processing and The Journal of Supercomputing.

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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