Sagar Sen

2.6k citations
104 papers · 1.1k · h-index 17

Impact in

  • Software top 1%
    • Software Testing and Debugging Techniques
    • Software Reliability and Analysis Research
    • Model-Driven Software Engineering Techniques
    • Software Engineering Research

Papers in

Sagar Sen

94 papers receiving 1.0k citations

Peers

Sagar Sen
Comparison fields: 5 of 121
  • Software 444
  • Information Systems 412
  • Numerical Analysis 83
  • Artificial Intelligence 373
  • Computational Theory and Mathematics 147
Replace Lynn Batten with:
Lynn Batten Australia
JF Baldwin India
Yifei Wang China
Nicolai M. Josuttis Switzerland
Kenneth Bacławski United States
Paulo Fernandes Brazil
David Carrington Australia
Reind P. van de Riet Netherlands
M. H. Halstead United States
Jacques Cohen United States
Sagar Sen relative to Lynn Batten Australia Lynn Batten's profile →
Citations per field
00.5×6.9×
Lynn Batten · 1×
Citations per year

Countries citing papers authored by Sagar Sen

Since Specialization
Citations

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

Fields of papers citing papers by Sagar Sen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sagar Sen, 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 Sagar Sen Line = papers co-authored together Sagar Sen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 104 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010150
2 2013121
3 201186
4 201939
5 200934
6 202330
7 200830
8 202327
9 197626
10 201325
11 202324
12 201824
13 201023
14 200822
15 202221
16 201721
17 200617
18 200916
19 202214
20 201713

About Sagar Sen

Sagar Sen is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Numerical Analysis, Information Systems and Software, having authored 104 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (16 papers), Numerical Methods and Algorithms (16 papers), Matrix Theory and Algorithms (15 papers), Advanced Software Engineering Methodologies (13 papers), Software Testing and Debugging Techniques (10 papers), Software System Performance and Reliability (9 papers), Software Engineering Research (8 papers) and Anomaly Detection Techniques and Applications (7 papers). The work is most often cited by research in Software (444 citations), Information Systems (412 citations), Numerical Analysis (83 citations), Artificial Intelligence (373 citations) and Computational Theory and Mathematics (147 citations). Sagar Sen has collaborated with scholars based in Norway, United States and India. Frequent co-authors include Benoît Baudry, Dusica Marijan, Arnaud Gotlieb, Yves Le Traon, Gilles Perrouin, Jacques Klein, Ravi P. Agarwal, Arda Göknil, Phu H. Nguyen and Sebastian Oster. Their work appears in journals such as Applied Mathematics and Computation, Mathematical and Computer Modelling, Computers & Mathematics with Applications, Nonlinear Analysis and JMIR Serious Games.

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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