Debjani Mitra

675 citations
57 papers · 495 · h-index 14

Impact in

Papers in

Debjani Mitra

54 papers receiving 480 citations

Peers

Debjani Mitra
Comparison fields: 5 of 92
  • Signal Processing 67
  • Cognitive Neuroscience 98
  • Computer Networks and Communications 75
  • Aerospace Engineering 74
  • Electrical and Electronic Engineering 132
Replace Seedahmed S. Mahmoud with:
Seedahmed S. Mahmoud Australia
Zhangyong Li China
Hanbin Zhang China
Yu Xie China
Alessandro Montanari United Kingdom
Dou Fan China
José Vieira Portugal
Rumen Hristov United States
Khawla Alzoubi Qatar
C.E. D’Attellis Argentina
Debjani Mitra relative to Seedahmed S. Mahmoud Australia Seedahmed S. Mahmoud's profile →
Citations per field
00.5×3.7×
Seedahmed S. Mahmoud · 1×
Citations per year

Countries citing papers authored by Debjani Mitra

Since Specialization
Citations

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

Fields of papers citing papers by Debjani Mitra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202051
2
Social determinants of lung cancer incidence in Canada: A 13-year prospective study.
201540
3 202136
4 200631
5 201222
6 201620
7 201420
8 201920
9 201419
10 202217
11 202114
12 201613
13 201913
14 202113
15 201912
16 200912
17 201510
18 201510
19 20229
20 20219

About Debjani Mitra

Debjani Mitra is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Aerospace Engineering, Signal Processing and Cognitive Neuroscience, having authored 57 papers that have together received 495 indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (13 papers), Cognitive Radio Networks and Spectrum Sensing (12 papers), EEG and Brain-Computer Interfaces (8 papers), Blind Source Separation Techniques (7 papers), Wireless Communication Networks Research (6 papers), Antenna Design and Analysis (5 papers), Target Tracking and Data Fusion in Sensor Networks (4 papers) and PAPR reduction in OFDM (4 papers). The work is most often cited by research in Signal Processing (67 citations), Cognitive Neuroscience (98 citations), Computer Networks and Communications (75 citations), Aerospace Engineering (74 citations) and Electrical and Electronic Engineering (132 citations). Debjani Mitra has collaborated with scholars based in India, Canada and Italy. Frequent co-authors include Monisha Chakraborty, Amanda Shaw, Anirban Roy, Paul A. Peters, Shweta Singh, Michael Tjepkema, Rakesh Ranjan, Sachin Singh, Annette M. O’Connor and Peter Tugwell. Their work appears in journals such as Biomedical Signal Processing and Control, Wireless Personal Communications, Journal of Ambient Intelligence and Humanized Computing, Physical Communication and IEEE Communications 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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