M. Sindhu

669 total citations · 1 hit paper
9 papers, 364 citations indexed

About

M. Sindhu is a scholar working on Information Systems, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, M. Sindhu has authored 9 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Information Systems, 3 papers in Computer Networks and Communications and 3 papers in Artificial Intelligence. Recurrent topics in M. Sindhu's work include Blockchain Technology Applications and Security (4 papers), Cryptography and Data Security (2 papers) and Distributed systems and fault tolerance (2 papers). M. Sindhu is often cited by papers focused on Blockchain Technology Applications and Security (4 papers), Cryptography and Data Security (2 papers) and Distributed systems and fault tolerance (2 papers). M. Sindhu collaborates with scholars based in India. M. Sindhu's co-authors include M. Sethumadhavan, Vijay Jagdish Upadhye, Madhavi Srinivasan, L. Natrayan and Harshal Patil and has published in prestigious journals such as Journal of Discrete Mathematical Sciences and Cryptography and IOP Conference Series Materials Science and Engineering.

In The Last Decade

M. Sindhu

8 papers receiving 340 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.

Survey of consensus protocols on blockchain applications

2017 282 citations M. Sindhu, M. Sethumadhavan et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M. Sindhu India	6	322	182	75	49	32	9	364
Sara Rouhani Canada	6	332 1.0×	143 0.8×	82 1.1×	77 1.6×	39 1.2×	15	399
Eranga Bandara United States	11	302 0.9×	171 0.9×	111 1.5×	20 0.4×	18 0.6×	36	409
Yizhong Liu China	13	442 1.4×	218 1.2×	182 2.4×	43 0.9×	50 1.6×	48	570
Eder J. Scheid Switzerland	13	275 0.9×	303 1.7×	100 1.3×	28 0.6×	31 1.0×	54	462
F. Ibikunle Nigeria	7	247 0.8×	146 0.8×	103 1.4×	23 0.5×	26 0.8×	51	405
Ronald Doku United States	10	205 0.6×	143 0.8×	132 1.8×	25 0.5×	19 0.6×	10	342
Rafael Brundo Uriarte Italy	12	390 1.2×	349 1.9×	66 0.9×	42 0.9×	26 0.8×	19	475
Ahsan Manzoor Finland	11	339 1.1×	262 1.4×	141 1.9×	30 0.6×	40 1.3×	13	480
Kai Sachs Germany	11	182 0.6×	276 1.5×	89 1.2×	28 0.6×	14 0.4×	29	350
Muriel Figueredo Franco Brazil	11	189 0.6×	253 1.4×	69 0.9×	22 0.4×	22 0.7×	44	364

Countries citing papers authored by M. Sindhu

Since Specialization

Citations

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

Fields of papers citing papers by M. Sindhu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Sindhu

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Sindhu, M., et al.. (2024). Enhancing Security with Machine Learning-based Finger-Vein Biometric Authentication System. 797–802. 4 indexed citations

2.

Sindhu, M., et al.. (2019). Redactable Blockchain using Enhanced Chameleon Hash Function. 323–328. 32 indexed citations

3.

Sindhu, M., et al.. (2019). Securing Firmware in Internet of Things using Blockchain. 329–334. 18 indexed citations

4.

Srinivasan, Madhavi, et al.. (2018). Implementation of Programmable FIR Filter Using Dadda Multiplier and Parallel Prefix Adder. 585–589. 5 indexed citations

5.

Sindhu, M., et al.. (2017). Survey of consensus protocols on blockchain applications. 1–5. 282 indexed citations breakdown →

6.

Sindhu, M., et al.. (2017). On Federated and Proof Of Validation Based Consensus Algorithms In Blockchain. IOP Conference Series Materials Science and Engineering. 225. 12198–12198. 11 indexed citations

7.

Sindhu, M., et al.. (2017). Analysis of sponge function based authenticated encryption schemes. 1–5. 1 indexed citations

8.

Sindhu, M., et al.. (2010). An Optimum Multilevel CPU Scheduling Algorithm. 90–94. 11 indexed citations

9.

Sethumadhavan, M., et al.. (2008). An algorithm fork-error joint linear complexity of binary multisequences. Journal of Discrete Mathematical Sciences and Cryptography. 11(3). 297–304.

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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