Subhashis Chatterjee

690 citations
44 papers · 495 · h-index 15

Impact in

Papers in

Subhashis Chatterjee

42 papers receiving 468 citations

Peers

Subhashis Chatterjee
Comparison fields: 5 of 57
  • Software 378
  • Safety, Risk, Reliability and Quality 277
  • Information Systems 241
  • Statistics and Probability 79
  • Statistics, Probability and Uncertainty 29
Replace Minyan Lu with:
Minyan Lu China
Yuan-Shun Dai United States
George B. Finelli United States
Winfrid G. Schneeweiß Germany
Myron Hecht United States
Sergey V. Gurov Russia
J. S. Gupta India
A. V. Ramesh United States
Dong Tang United States
Leila Meshkat United States
Subhashis Chatterjee relative to Minyan Lu China Minyan Lu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Subhashis Chatterjee

Since Specialization
Citations

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

Fields of papers citing papers by Subhashis Chatterjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Subhashis Chatterjee, 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 Subhashis Chatterjee Line = papers co-authored together Subhashis Chatterjee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201632
2 201531
3 201331
4 201330
5 201129
6 201726
7 201826
8 201221
9 201718
10 201817
11 201817
12 201416
13 201915
14 202115
15 201615
16 201012
17 201112
18 201912
19 201811
20 202210

About Subhashis Chatterjee

Subhashis Chatterjee is a scholar working on Software, Safety, Risk, Reliability and Quality, Information Systems, Statistics and Probability and Computer Networks and Communications, having authored 44 papers that have together received 495 indexed citations. Recurring topics across this work include Software Reliability and Analysis Research (38 papers), Reliability and Maintenance Optimization (26 papers), Software Engineering Research (22 papers), Statistical Distribution Estimation and Applications (8 papers), Software System Performance and Reliability (6 papers), Radiation Effects in Electronics (3 papers), Software Testing and Debugging Techniques (2 papers) and Risk and Safety Analysis (2 papers). The work is most often cited by research in Software (378 citations), Safety, Risk, Reliability and Quality (277 citations), Information Systems (241 citations), Statistics and Probability (79 citations) and Statistics, Probability and Uncertainty (29 citations). Subhashis Chatterjee has collaborated with scholars based in India, United States and Norway. Frequent co-authors include Ankur Shukla, Lakshmi N. Upadhyaya, Arunava Roy, Ananya Das, Hoang Pham, Chandan Bhar, Shariful Alam, Ranjeev Misra, Akhilesh Sharma and Yogesh Kumar Verma. Their work appears in journals such as Soft Computing, International Journal of Reliability Quality and Safety Engineering, Applied Intelligence, Computers & Electrical Engineering and Arabian Journal for Science and Engineering.

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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