B. Solaiman

544 citations
45 papers · 273 · h-index 8

Impact in

Papers in

B. Solaiman

38 papers receiving 237 citations

Peers

B. Solaiman
Comparison fields: 5 of 77
  • Media Technology 66
  • Computer Vision and Pattern Recognition 95
  • Signal Processing 47
  • Health Information Management 10
  • Artificial Intelligence 63
Replace Daniel Kostrzewa with:
Daniel Kostrzewa Poland
Chengpo Mu China
Paras Jain India
Iqbaldeep Kaur India
Baojun Qiao China
Xi’an Feng China
Vladislav Myasnikov Russia
В. В. Старовойтов Belarus
Taisong Xiong China
S. Vasavi India
B. Solaiman relative to Daniel Kostrzewa Poland Daniel Kostrzewa's profile →
Citations per field
00.5×10×
Daniel Kostrzewa · 1×
Citations per year

Countries citing papers authored by B. Solaiman

Since Specialization
Citations

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

Fields of papers citing papers by B. Solaiman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199952
2 200840
3 199932
4 202214
5 199014
6 200313
7 201110
8 201310
9 20027
10
Analyzing Spatial -Temporal Geographic Information based on Blackboard Architecture and Multi-Agent System
20067
11 19896
12 20116
13 19986
14 20026
15 20025
16 20195
17 20034
18 20113
19 20033
20 20133

About B. Solaiman

B. Solaiman is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Media Technology and Ocean Engineering, having authored 45 papers that have together received 273 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (7 papers), Remote-Sensing Image Classification (7 papers), Neural Networks and Applications (6 papers), Medical Imaging Techniques and Applications (5 papers), Data Management and Algorithms (4 papers), Geochemistry and Geologic Mapping (4 papers), Remote Sensing and Land Use (3 papers) and Infrared Target Detection Methodologies (3 papers). The work is most often cited by research in Media Technology (66 citations), Computer Vision and Pattern Recognition (95 citations), Signal Processing (47 citations), Health Information Management (10 citations) and Artificial Intelligence (63 citations). B. Solaiman has collaborated with scholars based in France, Tunisia and Canada. Frequent co-authors include F.T. Ulaby, L.E. Pierce, Hanène Trichili, J.-M. Cauvin, Imed Riadh Farah, Alain Glavieux, C. Roux, Grégoire Mercier, Didier Guériot and C. Roux. Their work appears in journals such as IEEE Journal on Selected Areas in Communications, IEEE Geoscience and Remote Sensing Letters, IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Biomedical Engineering and IEEE Transactions on Aerospace and Electronic Systems.

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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