Chayan Halder

437 citations
23 papers · 181 indexed · h-index 8

Impact in

Papers in

Chayan Halder

21 papers receiving 171 citations

Peers

Chayan Halder
Comparison fields: 5 of 21
  • Media Technology 92
  • Computer Vision and Pattern Recognition 172
  • Human-Computer Interaction 29
  • Artificial Intelligence 53
  • Signal Processing 9
Replace Sheikh Faisal Rashid with:
Sheikh Faisal Rashid Germany
Jie-Bo Hou China
Raid Saabni Israel
Shi-Xue Zhang China
E. Augustin France
R. Jayadevan India
Aurélie Lemaître France
Fouad Slimane Switzerland
Wei-Yi Pei China
David Bridson United Kingdom
Chayan Halder relative to Sheikh Faisal Rashid Germany Sheikh Faisal Rashid's profile →
Citations per field
00.5×1.5×2.3×
Sheikh Faisal Rashid · 1×
Citations per year

Countries citing papers authored by Chayan Halder

Since Specialization
Citations

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

Fields of papers citing papers by Chayan Halder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Chayan Halder, 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 Chayan Halder Line = papers co-authored together Chayan Halder links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201747
2 201724
3 201817
4 201516
5 201811
6 20169
7 20158
8 20158
9 20167
10 20176
11 20224
12 20144
13 20184
14 20153
15 20113
16 20222
17 20162
18 20122
19 20122
20
An Integrated Linear Programming Approach in Optimization of Crops
20201

About Chayan Halder

Chayan Halder is a scholar working on Media Technology, Computer Vision and Pattern Recognition, Human-Computer Interaction, Artificial Intelligence and Civil and Structural Engineering, having authored 23 papers that have together received 181 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (21 papers), Vehicle License Plate Recognition (14 papers), Image Processing and 3D Reconstruction (10 papers), Natural Language Processing Techniques (4 papers), Hand Gesture Recognition Systems (4 papers), Text and Document Classification Technologies (3 papers), Image Retrieval and Classification Techniques (2 papers) and 2D Materials and Applications (1 paper). The work is most often cited by research in Media Technology (92 citations), Computer Vision and Pattern Recognition (172 citations), Human-Computer Interaction (29 citations), Artificial Intelligence (53 citations) and Signal Processing (9 citations). Chayan Halder has collaborated with scholars based in India, United States and Bangladesh. Frequent co-authors include Kaushik Roy, Sk Md Obaidullah, Nibaran Das, KC Santosh, Somnath Chatterjee, Naim Ferdous, A. S. M. Jannatul Islam, Arindam Biswas, Shibaprasad Sen and Himadri Mukherjee. Their work appears in journals such as Multimedia Tools and Applications, International Journal of Machine Learning and Cybernetics, Sadhana, Expert Systems with Applications and International Journal of Pattern Recognition and Artificial Intelligence.

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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