Mandrita Banerjee

674 total citations · 1 hit paper
6 papers, 443 citations indexed

About

Mandrita Banerjee is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Information Systems. According to data from OpenAlex, Mandrita Banerjee has authored 6 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Networks and Communications, 3 papers in Electrical and Electronic Engineering and 2 papers in Information Systems. Recurrent topics in Mandrita Banerjee's work include Advanced Fiber Optic Sensors (3 papers), IoT and Edge/Fog Computing (2 papers) and Photonic and Optical Devices (2 papers). Mandrita Banerjee is often cited by papers focused on Advanced Fiber Optic Sensors (3 papers), IoT and Edge/Fog Computing (2 papers) and Photonic and Optical Devices (2 papers). Mandrita Banerjee collaborates with scholars based in United States, Cyprus and South Korea. Mandrita Banerjee's co-authors include Kim‐Kwang Raymond Choo, Junghee Lee, Mehdi Shadaram, Qian Chen and Chrysostomos Nicopoulos and has published in prestigious journals such as IEEE Photonics Technology Letters, IEEE Transactions on Dependable and Secure Computing and Digital Communications and Networks.

In The Last Decade

Mandrita Banerjee

6 papers receiving 418 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A blockchain future for internet of things security: a position paper

2017 376 citations Mandrita Banerjee, Junghee Lee et al. Digital Communications and Networks profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mandrita Banerjee United States	4	330	243	77	60	42	6	443
Federico Lombardi United Kingdom	9	488 1.5×	320 1.3×	95 1.2×	125 2.1×	42 1.0×	13	570
Satyanarayana Vollala India	13	490 1.5×	296 1.2×	127 1.6×	156 2.6×	48 1.1×	43	629
Mayra Samaniego Canada	9	509 1.5×	445 1.8×	49 0.6×	90 1.5×	49 1.2×	12	598
Meryem Ammi Saudi Arabia	8	342 1.0×	234 1.0×	33 0.4×	100 1.7×	35 0.8×	15	453
Burhan Ul Islam Khan Malaysia	11	142 0.4×	233 1.0×	76 1.0×	70 1.2×	21 0.5×	53	374
Michael Falkenthal Germany	9	169 0.5×	208 0.9×	43 0.6×	90 1.5×	35 0.8×	32	346
Muhammad Irfan Pakistan	10	161 0.5×	167 0.7×	72 0.9×	72 1.2×	34 0.8×	41	445
Sanjeev Kumar Dwivedi India	12	499 1.5×	285 1.2×	144 1.9×	130 2.2×	61 1.5×	34	629
Patrick Bellot France	7	504 1.5×	380 1.6×	44 0.6×	125 2.1×	26 0.6×	16	609
Fares Alharbi Saudi Arabia	8	196 0.6×	222 0.9×	32 0.4×	128 2.1×	20 0.5×	14	391

Countries citing papers authored by Mandrita Banerjee

Since Specialization

Citations

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

Fields of papers citing papers by Mandrita Banerjee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mandrita Banerjee

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

All Works

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6 of 6 papers shown

1.

Banerjee, Mandrita, et al.. (2021). Machine Learning Assisted FBG-based Current Sensor for Transmission Lines. W4.1–W4.1. 1 indexed citations

2.

Banerjee, Mandrita, et al.. (2021). Machine Learning Methods for Discriminating Strain and Temperature Effects on FBG-Based Sensors. IEEE Photonics Technology Letters. 33(16). 876–879. 39 indexed citations

3.

Banerjee, Mandrita, et al.. (2020). A Hardware-assisted Heartbeat Mechanism for Fault Identification in Large-scale IoT Systems. IEEE Transactions on Dependable and Secure Computing. 1–1. 11 indexed citations

4.

Banerjee, Mandrita, et al.. (2020). Discrimination of Strain and Temperature effects on FBG-based Sensor using Machine Learning. 1–2. 3 indexed citations

5.

Banerjee, Mandrita, Junghee Lee, Qian Chen, & Kim‐Kwang Raymond Choo. (2018). Blockchain-Based Security Layer for Identification and Isolation of Malicious Things in IoT: A Conceptual Design. 1–6. 13 indexed citations

6.

Banerjee, Mandrita, Junghee Lee, & Kim‐Kwang Raymond Choo. (2017). A blockchain future for internet of things security: a position paper. Digital Communications and Networks. 4(3). 149–160. 376 indexed citations breakdown →

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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