M. Saadatseresht

1.0k citations
61 papers · 756 indexed · h-index 14

Impact in

Papers in

M. Saadatseresht

55 papers receiving 720 citations

Peers

M. Saadatseresht
Comparison fields: 5 of 87
  • Geology 158
  • Ocean Engineering 224
  • Transportation 80
  • Computer Vision and Pattern Recognition 225
  • Organizational Behavior and Human Resource Management 104
Replace Yifan Zhang with:
Yifan Zhang China
Parham Pahlavani Iran
Milan Erdelj France
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Yanmei Zhang China
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M. Saadatseresht relative to Yifan Zhang China Yifan Zhang's profile →
Citations per field
00.5×10×14.5×
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Citations per year

Countries citing papers authored by M. Saadatseresht

Since Specialization
Citations

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

Fields of papers citing papers by M. Saadatseresht

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20218
3 20204
4 20203
5 20195
6
Evaluation of Close-Range Photogrammetric Technique for Deformation Monitoring of Large-Scale Structures: A review
20194
7 201713
8 20151
9 20152
10
COMPARING THE ACCURACY OF A PARAMETRIC MODEL TO CALIBRATING TLS INSTRUMENTS WITH ANOTHER MODELS
20151
11 201519
12 20130
13 20139
14 20138
15 20131
16 20121
17 20116
18
DESIGN AND AUTOMATIC RECOGNITION OF THE CODED TARGETS IN VISION METROLOGY SYSTEMS
20091
19 2008224
20 200422

About M. Saadatseresht

M. Saadatseresht is a scholar working on Geology, Computer Vision and Pattern Recognition, Environmental Engineering, Media Technology and Instrumentation, having authored 61 papers that have together received 756 indexed citations. Recurring topics across this work include 3D Surveying and Cultural Heritage (20 papers), Remote Sensing and LiDAR Applications (19 papers), Robotics and Sensor-Based Localization (13 papers), Optical measurement and interference techniques (9 papers), Remote-Sensing Image Classification (8 papers), Remote Sensing and Land Use (7 papers), Advanced Image and Video Retrieval Techniques (7 papers) and Advanced Vision and Imaging (7 papers). The work is most often cited by research in Geology (158 citations), Ocean Engineering (224 citations), Transportation (80 citations), Computer Vision and Pattern Recognition (225 citations) and Organizational Behavior and Human Resource Management (104 citations). M. Saadatseresht has collaborated with scholars based in Iran, Canada and Germany. Frequent co-authors include Ali Mansourian, Mohammad Taleai, Masood Varshosaz, Saeid Homayouni, Vahid Mahboub, Mahdi Hasanlou, M. Gerke, Farhad Samadzadegan, Soohwan Song and Mehdi Maboudi. Their work appears in journals such as The Photogrammetric Record, Sensors, IET Radar Sonar & Navigation, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing and ISPRS International Journal of Geo-Information.

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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