Suman Maity

520 total citations
35 papers, 333 citations indexed

About

Suman Maity is a scholar working on Global and Planetary Change, Atmospheric Science and Artificial Intelligence. According to data from OpenAlex, Suman Maity has authored 35 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Global and Planetary Change, 14 papers in Atmospheric Science and 9 papers in Artificial Intelligence. Recurrent topics in Suman Maity's work include Climate variability and models (15 papers), Meteorological Phenomena and Simulations (12 papers) and Sentiment Analysis and Opinion Mining (5 papers). Suman Maity is often cited by papers focused on Climate variability and models (15 papers), Meteorological Phenomena and Simulations (12 papers) and Sentiment Analysis and Opinion Mining (5 papers). Suman Maity collaborates with scholars based in India, Japan and United States. Suman Maity's co-authors include Sridhara Nayak, Animesh Mukherjee, A. N. V. Satyanarayana, M. Mandal, Kuvar Satya Singh, Pawan Goyal, R. Bhatla, Atanu Acharya, Jiayi Cheng and Qingxiang Li and has published in prestigious journals such as The Journal of Physical Chemistry B, Journal of Chemical Theory and Computation and Europhysics Letters (EPL).

In The Last Decade

Suman Maity

35 papers receiving 327 citations

Peers

Suman Maity
Comparison fields: 5 of 59
  • Global and Planetary Change 227
  • Atmospheric Science 163
  • Environmental Engineering 74
  • Artificial Intelligence 45
  • Information Systems 39
Umberto Triacca Italy
Philip Kershaw United Kingdom
David Herring United States
Geraldine Wong Germany
Christina Papagiannopoulou Belgium
Steve Ansari United States
Mark Morgan United States
D. W. Shin United States
Rasha Obeidat Jordan
Umberto Triacca Italy View profile →
Citations per field, relative to Suman Maity
Suman Maity · 1×
Citations per year, relative to Suman Maity
Suman Maity · 1×

Countries citing papers authored by Suman Maity

Since Specialization
Citations

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

Fields of papers citing papers by Suman Maity

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suman Maity

This figure shows the co-authorship network connecting the top 25 collaborators of Suman Maity. A scholar is included among the top collaborators of Suman Maity 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 Suman Maity. Suman Maity 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 1
2 3
3 8
4 7
5 6
6 5
7 5
8 9
9 8
10 7
11 23
12 4
13 19
14 17
15 6
16 20
17 18
18 4
19 2
20 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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