Munish Saini

737 total citations
47 papers, 378 citations indexed

About

Munish Saini is a scholar working on Information Systems, Computer Science Applications and Artificial Intelligence. According to data from OpenAlex, Munish Saini has authored 47 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Information Systems, 15 papers in Computer Science Applications and 10 papers in Artificial Intelligence. Recurrent topics in Munish Saini's work include Software Engineering Research (13 papers), Open Source Software Innovations (13 papers) and IoT and GPS-based Vehicle Safety Systems (4 papers). Munish Saini is often cited by papers focused on Software Engineering Research (13 papers), Open Source Software Innovations (13 papers) and IoT and GPS-based Vehicle Safety Systems (4 papers). Munish Saini collaborates with scholars based in India and Saudi Arabia. Munish Saini's co-authors include Sandeep K. Sood, Jaswinder Singh, Kuljit Kaur, Harjit Kaur, Amardeep Singh, Amandeep Kaur, Manpreet Kaur, K. Sandeep, Harpreet Singh and Naman Sharma and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Munish Saini

43 papers receiving 362 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Munish Saini India 9 78 74 66 56 41 47 378
Ljubiša Bojić Serbia 11 90 1.2× 50 0.7× 69 1.0× 38 0.7× 55 1.3× 48 451
Roy Setiawan Indonesia 11 87 1.1× 73 1.0× 112 1.7× 70 1.3× 25 0.6× 54 527
Néstor Darío Duque Méndez Colombia 10 80 1.0× 46 0.6× 43 0.7× 94 1.7× 40 1.0× 79 380
Carlos A. Escobar Mexico 8 105 1.3× 102 1.4× 44 0.7× 48 0.9× 29 0.7× 11 503
David Asirvatham Malaysia 11 114 1.5× 68 0.9× 89 1.3× 66 1.2× 67 1.6× 47 401
Md. Saifuddin Khalid Denmark 12 103 1.3× 126 1.7× 62 0.9× 49 0.9× 41 1.0× 47 405
Anu Gokhale United States 11 44 0.6× 94 1.3× 100 1.5× 26 0.5× 33 0.8× 32 401
Stefan Oppl Austria 10 66 0.8× 54 0.7× 48 0.7× 28 0.5× 32 0.8× 50 317
Benedita Malheiro Portugal 11 107 1.4× 92 1.2× 74 1.1× 28 0.5× 80 2.0× 69 415
Simone Braun Germany 12 86 1.1× 27 0.4× 103 1.6× 54 1.0× 27 0.7× 35 368

Countries citing papers authored by Munish Saini

Since Specialization
Citations

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

Fields of papers citing papers by Munish Saini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Munish Saini

This figure shows the co-authorship network connecting the top 25 collaborators of Munish Saini. A scholar is included among the top collaborators of Munish Saini 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 Munish Saini. Munish Saini 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
1.
Saini, Munish, et al.. (2024). Artificial intelligence assisted IoT-fog based framework for emergency fire response in smart buildings. Cluster Computing. 27(6). 7915–7938. 3 indexed citations
2.
Saini, Munish, et al.. (2024). IoT-Fog-based framework to prevent vehicle–road accidents caused by self-visual distracted drivers. Multimedia Tools and Applications. 83(42). 90133–90151. 3 indexed citations
3.
Saini, Munish, et al.. (2024). Artificial Intelligence inspired method for cross-lingual cyberhate detection from low resource languages. ACM Transactions on Asian and Low-Resource Language Information Processing. 23(9). 1–23.
4.
Saini, Munish, et al.. (2024). Artificial intelligence inspired fog-cloud-based visual-assistance framework for blind and visually-impaired people. Multimedia Tools and Applications. 84(24). 27867–27898. 1 indexed citations
5.
Sood, Sandeep K., et al.. (2024). Internet of Vehicles (IoV) Based Framework for electricity Demand Forecasting in V2G. Energy. 297. 131199–131199. 7 indexed citations
6.
Sood, Sandeep K., et al.. (2023). Internet of Vehicles (IoV) based Framework for Vehicle Degradation using Multidimensional Dynamic Time Warping (MDTW). Expert Systems with Applications. 224. 120038–120038. 7 indexed citations
7.
Saini, Munish, et al.. (2023). An intelligent machine learning-enabled cattle reclining risk mitigation technique using surveillance videos. Neural Computing and Applications. 36(4). 2029–2047. 1 indexed citations
8.
Saini, Munish, et al.. (2023). Analyzing the relation among different factors leading to Ph.D. dropout using numerical association rule mining. Education and Information Technologies. 29(1). 375–399. 1 indexed citations
9.
Saini, Munish, et al.. (2023). Artificial intelligence inspired IoT-fog based framework for generating early alerts while train passengers traveling in dangerous states using surveillance videos. Multimedia Tools and Applications. 83(5). 13613–13635. 3 indexed citations
10.
Saini, Munish, et al.. (2022). Indian government initiatives on cyberbullying: A case study on cyberbullying in Indian higher education institutions. Education and Information Technologies. 28(1). 581–615. 24 indexed citations
11.
Saini, Munish, et al.. (2022). Artificial intelligence inspired multilanguage framework for note-taking and qualitative content-based analysis of lectures. Education and Information Technologies. 28(1). 1141–1163. 4 indexed citations
12.
Saini, Munish, et al.. (2022). FCML-gait: fog computing and machine learning inspired human identity and gender recognition using gait sequences. Signal Image and Video Processing. 17(4). 925–936. 5 indexed citations
13.
Saini, Munish, et al.. (2022). Sustainable development goals for gender equality: Extracting associations among the indicators of SDG 5 using numerical association rule mining. Journal of Intelligent & Fuzzy Systems. 44(3). 5151–5162. 3 indexed citations
14.
Saini, Munish, et al.. (2022). Fog cloud-assisted IoT-based human identification in construction sites from gait sequences. Multimedia Tools and Applications. 82(9). 14265–14285. 2 indexed citations
15.
16.
Saini, Munish, et al.. (2021). Indian government E-learning initiatives in response to COVID-19 crisis: A case study on online learning in Indian higher education system. Education and Information Technologies. 26(6). 7569–7607. 47 indexed citations
17.
Saini, Munish, et al.. (2020). Investigating diversity and impact of the popularity metrics for ranking software packages. Journal of Software Evolution and Process. 32(9). 7 indexed citations
18.
Saini, Munish, et al.. (2020). Fetal Distress Classification with Deep Convolutional Neural Network. Current Women s Health Reviews. 17(1). 60–73. 4 indexed citations
19.
Saini, Munish & Kuljit Kaur. (2016). Fuzzy analysis and prediction of commit activity in open source software projects. IET Software. 10(5). 136–146. 4 indexed citations
20.
Saini, Munish & Kuljit Kaur. (2014). A Review of Open Source Software Development Life Cycle Models. International Journal of Software Engineering and Its Applications. 8(3). 417–434. 13 indexed citations

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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