Mohammad Khansari

860 citations
57 papers · 521 · h-index 13

Impact in

Papers in

Mohammad Khansari

56 papers receiving 499 citations

Peers

Mohammad Khansari
Comparison fields: 5 of 80
  • Computer Networks and Communications 211
  • Computer Vision and Pattern Recognition 130
  • Media Technology 43
  • Statistical and Nonlinear Physics 51
  • Signal Processing 41
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Citations per field
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Citations per year

Countries citing papers authored by Mohammad Khansari

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Khansari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mohammad Khansari, 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 Mohammad Khansari Line = papers co-authored together Mohammad Khansari 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 201346
2 201539
3 201436
4 201236
5 201933
6 201422
7 201620
8 201818
9 201717
10 201317
11 201815
12 202015
13 200713
14 201912
15 200412
16 201810
17
Using network properties to evaluate targeted immunization algorithms
20149
18 20229
19 20139
20 20198

About Mohammad Khansari

Mohammad Khansari is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics, Electrical and Electronic Engineering and Media Technology, having authored 57 papers that have together received 521 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (12 papers), Mobile Ad Hoc Networks (10 papers), Complex Network Analysis Techniques (10 papers), Caching and Content Delivery (6 papers), IoT and Edge/Fog Computing (5 papers), Video Surveillance and Tracking Methods (5 papers), Misinformation and Its Impacts (5 papers) and Peer-to-Peer Network Technologies (4 papers). The work is most often cited by research in Computer Networks and Communications (211 citations), Computer Vision and Pattern Recognition (130 citations), Media Technology (43 citations), Statistical and Nonlinear Physics (51 citations) and Signal Processing (41 citations). Mohammad Khansari has collaborated with scholars based in Iran, United States and United Kingdom. Frequent co-authors include Hamid R. Rabiee, Mostafa Salehi, Aude Billard, Klas Kronander, M. Yousof Naderi, Ali Masoudi‐Nejad, Siti Mariyam Shamsuddin, Jan Flusser, Usman Ullah Sheikh and Kourosh Jafari‐Khouzani. Their work appears in journals such as Ad Hoc Networks, Information Sciences, Robotics and Autonomous Systems, Digital Signal Processing and Theoretical Population Biology.

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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