Goutam Saha

1.6k citations
155 papers · 995 indexed · h-index 17

Goutam Saha

132 papers receiving 817 citations

Peers

Goutam Saha
Comparison fields: 5 of 131
  • Software 89
  • Computer Networks and Communications 334
  • Hardware and Architecture 60
  • Information Systems 162
  • Artificial Intelligence 203
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Yanjun Wu China
Supratik Mukhopadhyay United States
Lu Lu China
Dharmender Kumar India
Maria Presa Reyes United States
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Zhen Ling China
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Citations per year

Countries citing papers authored by Goutam Saha

Since Specialization
Citations

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

Fields of papers citing papers by Goutam Saha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20242
3 20240
4 20240
5 20241
6 20233
7 20231
8 20231
9
Controller Placement and Selection Strategy for SDN
20194
10
A Biosystematic species inventory of Indian Sarcophagidae (Insecta: Diptera: Sarcophagidae)
20175
11 20161
12 20154
13
A FINITE ELEMENT METHOD FOR STEADY-STATE NATURAL CONVECTION IN A SQUARE TILT OPEN CAVITY
20153
14
Insect predators of mosquitoes of rice fields: portrayal of indirect interactions with alternative prey
20149
15
Prediction of dominant genes responsible for Lung Adenocarcinoma using Rough Set Theory
20112
16
Predatory activity of Rhantus sikkimensis and larvae of Toxorhynchites splendens on mosquito larvae in Darjeeling, India.
200632
17
Transient Fault Tolerance in Mobile Agent Based Computing
20053
18 20003
19
Transient fault tolerant processing in a RF application
200013
20
Algorithm based EFT errors detection in matrix arrays
19992

About Goutam Saha

Goutam Saha is a scholar working on Software, Hardware and Architecture and Computer Networks and Communications, having authored 155 papers that have together received 995 indexed citations. Recurring topics across this work include Distributed systems and fault tolerance (27 papers), Radiation Effects in Electronics (26 papers), Software Reliability and Analysis Research (17 papers), Gene Regulatory Network Analysis (14 papers), IoT and Edge/Fog Computing (12 papers), Gene expression and cancer classification (11 papers), Software-Defined Networks and 5G (10 papers) and Software System Performance and Reliability (9 papers). The work is most often cited by research in Software (89 citations), Computer Networks and Communications (334 citations) and Hardware and Architecture (60 citations). Goutam Saha has collaborated with scholars based in India, Bangladesh and Poland. Frequent co-authors include Rohit Das, Arnab Kumar Maji, Rajat Kumar Pal, Sudip Mandal, Kazuo Suzuki, Hisashi Kai, Gautam Aditya, Prąsun Chakrabarti, Michał Jasiński and Zbigniew Leonowicz. Their work appears in journals such as SHILAP Revista de lepidopterología, Sensors and Journal of Theoretical Biology.

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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