M.T. Raghunath

626 citations
22 papers · 415 indexed · h-index 10

Impact in

Papers in

M.T. Raghunath

19 papers receiving 379 citations

Peers

M.T. Raghunath
Comparison fields: 5 of 51
  • Human-Computer Interaction 142
  • Hardware and Architecture 65
  • Computer Networks and Communications 192
  • Computer Vision and Pattern Recognition 133
  • Information Systems and Management 44
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Citations per year

Countries citing papers authored by M.T. Raghunath

Since Specialization
Citations

This map shows the geographic impact of M.T. Raghunath'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.T. Raghunath with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.T. Raghunath more than expected).

Fields of papers citing papers by M.T. Raghunath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 19 scholars most cited alongside M.T. Raghunath, 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.T. Raghunath Line = papers co-authored together M.T. Raghunath links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20202
2 20090
3 20076
4 20067
5 200563
6 200519
7 20050
8 20044
9
IBM Research Report Device Disambiguation for a Retail Shopping Scenario
20031
10
A Practical Approach to Location Privacy in Public WiFi Networks
20031
11 200317
12 200241
13 200254
14 200210
15 200247
16 200248
17 19951
18
Customizing Interconnection Networks to Suit Packaging Hierarchies
19931
19
Interconnection network design based on packaging considerations
19936
20 199222

About M.T. Raghunath

M.T. Raghunath is a scholar working on Hardware and Architecture, Human-Computer Interaction, Computer Networks and Communications, Computer Vision and Pattern Recognition and Computer Science Applications, having authored 22 papers that have together received 415 indexed citations. Recurring topics across this work include Interconnection Networks and Systems (6 papers), Context-Aware Activity Recognition Systems (5 papers), Interactive and Immersive Displays (4 papers), Advancements in Battery Materials (3 papers), Green IT and Sustainability (3 papers), Parallel Computing and Optimization Techniques (3 papers), Supercapacitor Materials and Fabrication (3 papers) and Cloud Computing and Remote Desktop Technologies (2 papers). The work is most often cited by research in Human-Computer Interaction (142 citations), Hardware and Architecture (65 citations), Computer Networks and Communications (192 citations), Computer Vision and Pattern Recognition (133 citations) and Information Systems and Management (44 citations). M.T. Raghunath has collaborated with scholars based in United States, Japan and India. Frequent co-authors include Chandra Narayanaswami, Ramón Cáceres, Casey Carter, Berger, Takuya Inoue, Ching‐Tien Ho, Cláudio Pinhanez, C.M. Olsen, Abhiram Ranade and E.S. Schlig. Their work appears in journals such as Computer, IEEE Pervasive Computing, Personal and Ubiquitous Computing, VLSI design and Civil-comp proceedings.

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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