Manoj Panda

682 citations
55 papers · 433 · h-index 13

Impact in

Papers in

Manoj Panda

51 papers receiving 426 citations

Peers

Manoj Panda
Comparison fields: 5 of 54
  • Computer Networks and Communications 256
  • Transportation 39
  • Automotive Engineering 49
  • Electrical and Electronic Engineering 220
  • Control and Systems Engineering 66
Replace Can Liu with:
Can Liu China
Mohammad A. Hoque United States
Sok‐Ian Sou Taiwan
Roberto Brignolo Italy
Maria João Nicolau Portugal
Panita Pongpaibool Thailand
Biplav Choudhury India
Norman Franchi Germany
Manoj Panda relative to Can Liu China Can Liu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Manoj Panda

Since Specialization
Citations

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

Fields of papers citing papers by Manoj Panda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201536
2 201728
3 202126
4 201723
5 201723
6 201019
7 201017
8 201417
9 201616
10 200515
11 201814
12 200913
13 201712
14 201911
15 20139
16 20208
17 20238
18 20208
19 20148
20 20097

About Manoj Panda

Manoj Panda is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Control and Systems Engineering, Building and Construction and Automotive Engineering, having authored 55 papers that have together received 433 indexed citations. Recurring topics across this work include Wireless Networks and Protocols (13 papers), Mobile Ad Hoc Networks (12 papers), Advanced Wireless Network Optimization (10 papers), Traffic Prediction and Management Techniques (9 papers), Traffic control and management (8 papers), Autonomous Vehicle Technology and Safety (7 papers), Transportation Planning and Optimization (6 papers) and Digital Filter Design and Implementation (5 papers). The work is most often cited by research in Computer Networks and Communications (256 citations), Transportation (39 citations), Automotive Engineering (49 citations), Electrical and Electronic Engineering (220 citations) and Control and Systems Engineering (66 citations). Manoj Panda has collaborated with scholars based in India, Australia and Netherlands. Frequent co-authors include Hai L. Vu, Shiva Raj Pokhrel, Anurag Kumar, R Gandhiraj, Michel Mandjes, Dong Ngoduy, Vo Nguyen Quoc Bao, Vishnu Navda, Joy Kuri and Ramachandran Ramjee. Their work appears in journals such as IEEE Transactions on Mobile Computing, Ad Hoc Networks, Transportation Research Part B Methodological, Journal of Intelligent Transportation Systems and Computer 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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