Ehsan Ullah Munir

724 citations
41 papers · 407 · h-index 12

Impact in

Papers in

Ehsan Ullah Munir

38 papers receiving 384 citations

Peers

Ehsan Ullah Munir
Comparison fields: 5 of 81
  • Neurology 83
  • Health Informatics 8
  • Computer Networks and Communications 116
  • Artificial Intelligence 154
  • Computer Vision and Pattern Recognition 79
Replace Giridhar Reddy Bojja with:
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Khalid Masood Khan Saudi Arabia
Saeed Iqbal Pakistan
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Citations per field
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Citations per year

Countries citing papers authored by Ehsan Ullah Munir

Since Specialization
Citations

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

Fields of papers citing papers by Ehsan Ullah Munir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ehsan Ullah Munir. 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 Ehsan Ullah Munir. The network helps show where Ehsan Ullah Munir may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018108
2 201634
3 202026
4 202423
5 202219
6 201717
7 202316
8 201814
9 202214
10 201712
11
Urdu Part of Speech Tagging Using Transformation Based Error Driven Learning
201212
12 202211
13 202310
14 201410
15 20219
16 20199
17 20177
18 20187
19 20176
20 20235

About Ehsan Ullah Munir

Ehsan Ullah Munir is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence, Information Systems and Health Information Management, having authored 41 papers that have together received 407 indexed citations. Recurring topics across this work include Mobile Ad Hoc Networks (12 papers), Energy Efficient Wireless Sensor Networks (11 papers), Energy Harvesting in Wireless Networks (6 papers), Topic Modeling (6 papers), Opportunistic and Delay-Tolerant Networks (5 papers), IPv6, Mobility, Handover, Networks, Security (4 papers), Advanced Wireless Network Optimization (3 papers) and Sentiment Analysis and Opinion Mining (3 papers). The work is most often cited by research in Neurology (83 citations), Health Informatics (8 citations), Computer Networks and Communications (116 citations), Artificial Intelligence (154 citations) and Computer Vision and Pattern Recognition (79 citations). Ehsan Ullah Munir has collaborated with scholars based in Pakistan, United Kingdom and China. Frequent co-authors include Mussarat Yasmin, Muhammad Attique Khan, Muhammad Sharif, Muhammad Aslam, Saqib Iqbal, Hikmat Ullah Khan, Saima Gulzar Ahmad, Naeem Ramzan, Xiao Hu and Muhammad Wasif Nisar. Their work appears in journals such as International Journal of Computational Intelligence Systems, Wireless Personal Communications, IEEE Access, Sustainable Computing Informatics and Systems and Sensors.

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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