Amit Kumar Mondal

1.0k citations
60 papers · 620 indexed · h-index 15

Amit Kumar Mondal

57 papers receiving 584 citations

Peers

Amit Kumar Mondal
Comparison fields: 5 of 100
  • Renewable Energy, Sustainability and the Environment 138
  • Energy Engineering and Power Technology 21
  • Artificial Intelligence 137
  • Computer Vision and Pattern Recognition 85
  • Rehabilitation 28
Replace Rajneesh Sharma with:
Rajneesh Sharma India
Muhammad Tanveer Riaz Pakistan
Srete Nikolovski Croatia
Sangkeum Lee South Korea
Meiyan Zhang China
Luis I. Minchala Ecuador
Mrinmoy Sarkar Bangladesh
Jack Kelly United Kingdom
Iñaki Navarro Switzerland
Syed Kumayl Raza Moosavi Pakistan
Amit Kumar Mondal relative to Rajneesh Sharma India Rajneesh Sharma's profile →
Citations per field
00.5×4.7×
Rajneesh Sharma · 1×
Citations per year

Countries citing papers authored by Amit Kumar Mondal

Since Specialization
Citations

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

Fields of papers citing papers by Amit Kumar Mondal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amit Kumar Mondal. 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 Amit Kumar Mondal. The network helps show where Amit Kumar Mondal may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202328
2 20231
3 202232
4 20221
5 202112
6 202118
7 20201
8 202029
9 201845
10 201838
11 20162
12 20163
13 201520
14 201516
15 20142
16 201124
17 20102
18
Network Monitoring is People: Understanding End-user Perception of Network Problems
20101
19 20095
20 20071

About Amit Kumar Mondal

Amit Kumar Mondal is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 60 papers that have together received 620 indexed citations. Recurring topics across this work include Network Traffic and Congestion Control (6 papers), Robotic Path Planning Algorithms (6 papers), Robotics and Sensor-Based Localization (6 papers), Software Engineering Research (5 papers), Photovoltaic System Optimization Techniques (5 papers), Aerospace Engineering and Energy Systems (5 papers), Internet Traffic Analysis and Secure E-voting (4 papers) and Software System Performance and Reliability (4 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (138 citations), Energy Engineering and Power Technology (21 citations) and Artificial Intelligence (137 citations). Amit Kumar Mondal has collaborated with scholars based in India, United States and Canada. Frequent co-authors include Kamal Bansal, Aleksandar Kuzmanovic, Jitendra Kumar Pandey, Surajit Mondal, Mukul Kumar Gupta, Akash Gupta, Suresh Kumar, K. M. Azharul Hasan, Amit Saha and Paawan Sharma. Their work appears in journals such as IEEE/ACM Transactions on Networking, ACM SIGCOMM Computer Communication Review 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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