Mohammad Ali Abam

411 citations
35 papers · 164 · h-index 8

Impact in

Papers in

Mohammad Ali Abam

28 papers receiving 136 citations

Peers

Mohammad Ali Abam
Comparison fields: 5 of 42
  • Computer Graphics and Computer-Aided Design 89
  • Signal Processing 62
  • Geography, Planning and Development 17
  • Computer Vision and Pattern Recognition 52
  • Software 7
Replace Michael A. Bekos with:
Michael A. Bekos Germany
Chan-Su Shin South Korea
Matias Korman Japan
Elmar Langetepe Germany
Inmaculada Ventura Spain
Fabrizio Frati Italy
Marc Benkert Australia
Wolfgang Mulzer Germany
Paz Carmi Israel
Maarten Löffler Netherlands
Mohammad Ali Abam relative to Michael A. Bekos Germany Michael A. Bekos's profile →
Citations per field
00.5×
Michael A. Bekos · 1×
Citations per year

Countries citing papers authored by Mohammad Ali Abam

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Ali Abam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Mohammad Ali Abam, 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 Ali Abam Line = papers co-authored together Mohammad Ali Abam links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200722
2 200918
3 200917
4 20119
5 20209
6 20098
7 20078
8 20137
9 20106
10 20075
11 20145
12 20055
13 20115
14 20144
15
Fault-tolerant conflict-free coloring
20084
16 20064
17 20074
18 20074
19 20103
20 20113

About Mohammad Ali Abam

Mohammad Ali Abam is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Signal Processing, Computational Mechanics and Computer Networks and Communications, having authored 35 papers that have together received 164 indexed citations. Recurring topics across this work include Computational Geometry and Mesh Generation (29 papers), Data Management and Algorithms (13 papers), Robotic Path Planning Algorithms (8 papers), Advanced Image and Video Retrieval Techniques (5 papers), Digital Image Processing Techniques (4 papers), Automated Road and Building Extraction (4 papers), 3D Shape Modeling and Analysis (4 papers) and Advanced Numerical Analysis Techniques (4 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (89 citations), Signal Processing (62 citations), Geography, Planning and Development (17 citations), Computer Vision and Pattern Recognition (52 citations) and Software (7 citations). Mohammad Ali Abam has collaborated with scholars based in Iran, Netherlands and Australia. Frequent co-authors include Mark de Berg, Joachim Gudmundsson, Alireza Zarei, Sariel Har-Peled, Bettina Speckmann, Michiel Smid, Mohammad Ghodsi, Alireza Ejlali, Paz Carmi and Ali Mohades. Their work appears in journals such as Algorithmica, Computational Geometry, Discrete & Computational Geometry, Theoretical Computer Science and SIAM Journal on Computing.

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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