Arvind Mahindru

633 total citations
16 papers, 372 citations indexed

About

Arvind Mahindru is a scholar working on Computer Networks and Communications, Signal Processing and Software. According to data from OpenAlex, Arvind Mahindru has authored 16 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Networks and Communications, 14 papers in Signal Processing and 9 papers in Software. Recurrent topics in Arvind Mahindru's work include Advanced Malware Detection Techniques (14 papers), Network Security and Intrusion Detection (13 papers) and Software Testing and Debugging Techniques (9 papers). Arvind Mahindru is often cited by papers focused on Advanced Malware Detection Techniques (14 papers), Network Security and Intrusion Detection (13 papers) and Software Testing and Debugging Techniques (9 papers). Arvind Mahindru collaborates with scholars based in India, Jordan and South Korea. Arvind Mahindru's co-authors include Amrit Lal Sangal, Paramvir Singh, Himani Arora, Chittaranjan Hota, Jungeun Kim, Lov Kumar, Seifedine Kadry, Lalita Bhanu Murthy Neti, Shubham Mahajan and Sachin Kumar Gupta and has published in prestigious journals such as Scientific Reports, Neural Computing and Applications and Multimedia Tools and Applications.

In The Last Decade

Arvind Mahindru

16 papers receiving 361 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Arvind Mahindru India	9	349	321	170	130	73	16	372
Justin Sahs United States	3	307 0.9×	216 0.7×	154 0.9×	142 1.1×	96 1.3×	6	335
TaeGuen Kim South Korea	5	359 1.0×	316 1.0×	172 1.0×	127 1.0×	98 1.3×	13	398
Leonid Batyuk Germany	4	284 0.8×	247 0.8×	122 0.7×	150 1.2×	40 0.5×	6	313
Zhiruo Zhao China	3	328 0.9×	254 0.8×	171 1.0×	171 1.3×	51 0.7×	7	347
Sebastian Poeplau Germany	3	215 0.6×	104 0.3×	119 0.7×	104 0.8×	130 1.8×	4	278
Weijie Han China	7	256 0.7×	269 0.8×	127 0.7×	28 0.2×	128 1.8×	18	304
Matias Madou Belgium	8	299 0.9×	63 0.2×	190 1.1×	125 1.0×	202 2.8×	16	344
Jagsir Singh India	5	226 0.6×	218 0.7×	102 0.6×	26 0.2×	112 1.5×	6	258
Tongbo Luo United States	6	161 0.5×	85 0.3×	126 0.7×	59 0.5×	93 1.3×	9	212

Countries citing papers authored by Arvind Mahindru

Since Specialization

Citations

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

Fields of papers citing papers by Arvind Mahindru

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arvind Mahindru

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

All Works

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16 of 16 papers shown

Mahindru, Arvind, Himani Arora, Sachin Kumar Gupta, et al.. (2024). PermDroid a framework developed using proposed feature selection approach and machine learning techniques for Android malware detection. Scientific Reports. 14(1). 10724–10724. 14 indexed citations

Mahindru, Arvind & Himani Arora. (2023). PARUDroid: Framework that Enhances Smartphone Security Using an Ensemble Learning Approach. SN Computer Science. 4(5). 1 indexed citations

Mahindru, Arvind, et al.. (2023). YarowskyDroid: Semi-supervised based Android malware detection using federation learning. 380–385. 2 indexed citations

Mahindru, Arvind & Amrit Lal Sangal. (2021). FSDroid:- A feature selection technique to detect malware from Android using Machine Learning Techniques. Multimedia Tools and Applications. 80(9). 13271–13323. 45 indexed citations

Mahindru, Arvind & Amrit Lal Sangal. (2021). HybriDroid: an empirical analysis on effective malware detection model developed using ensemble methods. The Journal of Supercomputing. 77(8). 8209–8251. 15 indexed citations

Mahindru, Arvind & Amrit Lal Sangal. (2020). PARUDroid: Validation of Android Malware Detection Dataset. 42–52. 9 indexed citations

Mahindru, Arvind & Amrit Lal Sangal. (2020). MLDroid—framework for Android malware detection using machine learning techniques. Neural Computing and Applications. 33(10). 5183–5240. 126 indexed citations

Mahindru, Arvind & Amrit Lal Sangal. (2020). SemiDroid: a behavioral malware detector based on unsupervised machine learning techniques using feature selection approaches. International Journal of Machine Learning and Cybernetics. 12(5). 1369–1411. 32 indexed citations

Mahindru, Arvind. (2020). Android permissions dataset, Android Malware and benign Application Data set (consist of permissions and API calls). Data Archiving and Networked Services (DANS). 3. 1 indexed citations

10.

Mahindru, Arvind & Amrit Lal Sangal. (2020). SOMDROID: android malware detection by artificial neural network trained using unsupervised learning. Evolutionary Intelligence. 15(1). 407–437. 20 indexed citations

11.

Mahindru, Arvind. (2019). Android Permissions Dataset. Data Archiving and Networked Services (DANS). 1. 1 indexed citations

12.

Kumar, Lov, Chittaranjan Hota, Arvind Mahindru, & Lalita Bhanu Murthy Neti. (2019). Android Malware Prediction Using Extreme Learning Machine with Different Kernel Functions. 33–40. 7 indexed citations

13.

Mahindru, Arvind & Amrit Lal Sangal. (2019). DeepDroid: Feature Selection approach to detect Android malware using Deep Learning. 16–19. 19 indexed citations

14.

Mahindru, Arvind. (2018). Android Malware and Normal permissions dataset. Data Archiving and Networked Services (DANS). 5. 2 indexed citations

15.

Mahindru, Arvind & Paramvir Singh. (2017). Dynamic Permissions based Android Malware Detection using Machine Learning Techniques. 202–210. 77 indexed citations

16.

Mahindru, Arvind, et al.. (2014). Performance Analysis of Conventional Diversity Combining Schemes in Rayleigh and Rician Fading Channels. IOSR Journal of Computer Engineering. 16(3). 28–32. 1 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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