Suvodeep Mazumdar

952 total citations · 1 hit paper
45 papers, 417 citations indexed

About

Suvodeep Mazumdar is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Geography, Planning and Development. According to data from OpenAlex, Suvodeep Mazumdar has authored 45 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 6 papers in Geography, Planning and Development. Recurrent topics in Suvodeep Mazumdar's work include Data Visualization and Analytics (7 papers), Geographic Information Systems Studies (6 papers) and Species Distribution and Climate Change (4 papers). Suvodeep Mazumdar is often cited by papers focused on Data Visualization and Analytics (7 papers), Geographic Information Systems Studies (6 papers) and Species Distribution and Climate Change (4 papers). Suvodeep Mazumdar collaborates with scholars based in United Kingdom, Bangladesh and Finland. Suvodeep Mazumdar's co-authors include Andrew Cox, Fabio Ciravegna, Dhavalkumar Thakker, Ana Cristina Vasconcelos, Stuart N. Wrigley, Peter A. Bath, Daniela Petrelli, Daniel Neagu, Yuyang Liu and Vitaveska Lanfranchi and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and International Journal of Remote Sensing.

In The Last Decade

Suvodeep Mazumdar

40 papers receiving 392 citations

Hit Papers

Understanding the Relationship between Urban Public Space... 2024 2026 2025 2024 10 20 30

Peers

Suvodeep Mazumdar
Comparison fields: 5 of 115
  • Artificial Intelligence 120
  • Sociology and Political Science 46
  • Information Systems 42
  • Computer Vision and Pattern Recognition 40
  • Safety Research 35
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Citations per field, relative to Suvodeep Mazumdar
Suvodeep Mazumdar · 1×
Citations per year, relative to Suvodeep Mazumdar
Suvodeep Mazumdar · 1×

Countries citing papers authored by Suvodeep Mazumdar

Since Specialization
Citations

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

Fields of papers citing papers by Suvodeep Mazumdar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suvodeep Mazumdar

This figure shows the co-authorship network connecting the top 25 collaborators of Suvodeep Mazumdar. A scholar is included among the top collaborators of Suvodeep Mazumdar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Suvodeep Mazumdar. Suvodeep Mazumdar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 0
4 0
5
Understanding the Relationship between Urban Public Space and Social Cohesion: A Systematic Review breakdown →
39
6 4
7 1
8 58
9 3
10 11
11 11
12 2
13 18
14 10
15 2
16 6
17
Citizens observatories for effective Earth observations: the WeSenseIt Approach
8
18
Visualizing and animating large-scale spatiotemporal data with ELBAR explorer
1
19
Roadmapping discussion summary:social media and linked data for emergency response
1
20
Identifying information needs by modelling collective query patterns
2

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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