Chayan Halder

447 citations
39 papers · 350 · h-index 10

Impact in

Papers in

Chayan Halder

37 papers receiving 333 citations

Peers

Chayan Halder
Comparison fields: 5 of 28
  • Media Technology 168
  • Computer Vision and Pattern Recognition 326
  • Human-Computer Interaction 58
  • Artificial Intelligence 118
  • Signal Processing 21
Replace Apurva A. Desai - with:
Apurva A. Desai - India
Najiba Tagougui Tunisia
Zenghui Sun China
Kartik Dutta India
David Bridson United Kingdom
Raid M. Saabni Israel
Ronaldo Messina France
E. Augustin France
R. Jayadevan India
Swapan Kumar Parui India
Chayan Halder relative to Apurva A. Desai - India Apurva A. Desai -'s profile →
Citations per field
00.5×1.5×2.1×
Apurva A. Desai - · 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 15 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 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201773
2 201737
3 201826
4 201520
5 201817
6 201514
7 201514
8 201812
9 201611
10 201610
11 20169
12 20159
13 20148
14 20228
15 20178
16 20177
17 20156
18 20156
19 20186
20 20155

About Chayan Halder

Chayan Halder is a scholar working on Media Technology, Computer Vision and Pattern Recognition, Human-Computer Interaction, Artificial Intelligence and Signal Processing, having authored 39 papers that have together received 350 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (36 papers), Vehicle License Plate Recognition (23 papers), Image Processing and 3D Reconstruction (17 papers), Hand Gesture Recognition Systems (7 papers), Natural Language Processing Techniques (7 papers), Image Retrieval and Classification Techniques (4 papers), Text and Document Classification Technologies (4 papers) and Music and Audio Processing (3 papers). The work is most often cited by research in Media Technology (168 citations), Computer Vision and Pattern Recognition (326 citations), Human-Computer Interaction (58 citations), Artificial Intelligence (118 citations) and Signal Processing (21 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, Santanu Phadikar, Subhankar Ghosh, Himadri Mukherjee, Somnath Chatterjee, Shibaprasad Sen and A.B. Roy. 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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