Dinesh Datla

662 citations
18 papers · 483 · h-index 11

Impact in

    • Cognitive Radio Networks and Spectrum Sensing
    • Wireless Communication Networks Research
    • Cooperative Communication and Network Coding
    • Distributed Sensor Networks and Detection Algorithms
    • IoT and Edge/Fog Computing
    • Advanced MIMO Systems Optimization
    • Power Line Communications and Noise

Papers in

Dinesh Datla

18 papers receiving 441 citations

Peers

Dinesh Datla
Comparison fields: 5 of 46
  • Computer Networks and Communications 423
  • Electrical and Electronic Engineering 321
  • Signal Processing 39
  • Computational Mechanics 44
  • Hardware and Architecture 9
Replace Sai Shankar N with:
Sai Shankar N United States
B. Gudmundson Sweden
Jaewoo So South Korea
Anna Umbert Spain
Siddarama R. Patil India
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Dominique Noguet France
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Ntsibane Ntlatlapa South Africa
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Citations per field
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Citations per year

Countries citing papers authored by Dinesh Datla

Since Specialization
Citations

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

Fields of papers citing papers by Dinesh Datla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 200994
2 200768
3 201267
4 200762
5 200540
6 200730
7 201125
8 200924
9 200919
10 201116
11 201112
12 20098
13 20156
14
Spectrum Surveying for Dynamic Spectrum Access Networks
20075
15 20113
16 20152
17 20091
18 20161

About Dinesh Datla

Dinesh Datla is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Computational Mechanics, Information Systems and Media Technology, having authored 18 papers that have together received 483 indexed citations. Recurring topics across this work include Cognitive Radio Networks and Spectrum Sensing (10 papers), Power Line Communications and Noise (6 papers), Wireless Communication Networks Research (4 papers), Energy Efficient Wireless Sensor Networks (4 papers), IoT and Edge/Fog Computing (4 papers), Advanced MIMO Systems Optimization (4 papers), Wireless Networks and Protocols (2 papers) and Cloud Computing and Resource Management (2 papers). The work is most often cited by research in Computer Networks and Communications (423 citations), Electrical and Electronic Engineering (321 citations), Signal Processing (39 citations), Computational Mechanics (44 citations) and Hardware and Architecture (9 citations). Dinesh Datla has collaborated with scholars based in United States, Malaysia and South Korea. Frequent co-authors include Gary J. Minden, Alexander M. Wyglinski, Rakesh Rajbanshi, Tamal Bose, Jeffrey H. Reed, Xuetao Chen, Timothy R. Newman, P. Krishnan, Haris Volos and Joseph Evans. Their work appears in journals such as Analog Integrated Circuits and Signal Processing, IEEE Journal on Selected Areas in Communications, Ad Hoc Networks, IEEE Communications Magazine and Digital Communications and Networks.

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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