S. Maity

915 total citations
2 papers, 110 citations indexed

About

S. Maity is a scholar working on Ocean Engineering, Signal Processing and Applied Psychology. According to data from OpenAlex, S. Maity has authored 2 papers receiving a total of 110 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Ocean Engineering, 1 paper in Signal Processing and 1 paper in Applied Psychology. Recurrent topics in S. Maity's work include Data Management and Algorithms (1 paper), Automated Road and Building Extraction (1 paper) and Human Resource and Talent Management (1 paper). S. Maity is often cited by papers focused on Data Management and Algorithms (1 paper), Automated Road and Building Extraction (1 paper) and Human Resource and Talent Management (1 paper). S. Maity collaborates with scholars based in India. S. Maity's co-authors include Lelitha Vanajakshi and Sayan Ranu and has published in prestigious journals such as Journal of Management Development.

In The Last Decade

S. Maity

2 papers receiving 95 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
S. Maity India 2 47 27 17 15 14 2 110
Sofia Morandini Italy 4 27 0.6× 31 1.1× 14 0.8× 24 1.6× 16 1.1× 13 145
Jose R. Beltran United States 4 26 0.6× 16 0.6× 7 0.4× 14 0.9× 13 0.9× 6 87
Franca Piazza Germany 4 57 1.2× 34 1.3× 4 0.2× 5 0.3× 19 1.4× 4 105
Sam Manning United Kingdom 2 5 0.1× 42 1.6× 25 1.5× 4 0.3× 13 0.9× 5 160
Pamela Mishkin Austria 2 5 0.1× 42 1.6× 25 1.5× 4 0.3× 13 0.9× 2 160
Mischa Seiter Germany 6 9 0.2× 12 0.4× 2 0.1× 19 1.3× 21 1.5× 26 95
Florian Möslein Germany 7 16 0.3× 50 1.9× 29 1.7× 2 0.1× 17 1.2× 44 200
Reza Vaezi United States 6 16 0.3× 32 1.2× 2 0.1× 15 1.1× 15 116
Fatima Lahcen Yachou Aityassine Jordan 5 19 0.4× 41 1.5× 3 0.2× 6 0.4× 31 2.2× 10 156
Thomas Malsch Germany 8 21 0.4× 23 0.9× 8 0.5× 18 1.3× 22 174

Countries citing papers authored by S. Maity

Since Specialization
Citations

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

Fields of papers citing papers by S. Maity

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Maity

This figure shows the co-authorship network connecting the top 25 collaborators of S. Maity. A scholar is included among the top collaborators of S. 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 S. Maity. S. Maity is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

2 of 2 papers shown
1.
Maity, S.. (2019). Identifying opportunities for artificial intelligence in the evolution of training and development practices. Journal of Management Development. 38(8). 651–663. 109 indexed citations
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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