M. N. Doja

1.9k total citations
94 papers, 1.2k citations indexed

About

M. N. Doja is a scholar working on Computer Networks and Communications, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, M. N. Doja has authored 94 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Computer Networks and Communications, 23 papers in Artificial Intelligence and 21 papers in Electrical and Electronic Engineering. Recurrent topics in M. N. Doja's work include Energy Efficient Wireless Sensor Networks (23 papers), Mobile Ad Hoc Networks (14 papers) and Energy Harvesting in Wireless Networks (7 papers). M. N. Doja is often cited by papers focused on Energy Efficient Wireless Sensor Networks (23 papers), Mobile Ad Hoc Networks (14 papers) and Energy Harvesting in Wireless Networks (7 papers). M. N. Doja collaborates with scholars based in India, United Kingdom and Saudi Arabia. M. N. Doja's co-authors include Bashir Alam, Tanvir Ahmad, Pawan Singh Mehra, Musheer Ahmad, M. M. Sufyan Beg, Yogesh K. Dwivedi, Sarfaraz Masood, Eesa Al Solami, Pravin Chandra and Ranjit Biswas and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and International Journal of Information Management.

In The Last Decade

M. N. Doja

89 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. N. Doja India 17 411 338 256 246 243 94 1.2k
Amit Kumar Tyagi India 17 290 0.7× 283 0.8× 147 0.6× 358 1.5× 116 0.5× 105 1.0k
Shaukat Ali Pakistan 14 306 0.7× 189 0.6× 196 0.8× 140 0.6× 99 0.4× 46 829
Asad Masood Khattak United Arab Emirates 24 426 1.0× 684 2.0× 189 0.7× 478 1.9× 250 1.0× 112 1.6k
Ali Alzahrani Saudi Arabia 20 321 0.8× 223 0.7× 159 0.6× 382 1.6× 240 1.0× 68 1.2k
Li Kuang China 19 435 1.1× 437 1.3× 208 0.8× 421 1.7× 144 0.6× 100 1.3k
Irina V. Pustokhina Russia 19 330 0.8× 367 1.1× 172 0.7× 227 0.9× 287 1.2× 63 1.3k
Shuai Zhao China 15 472 1.1× 283 0.8× 235 0.9× 316 1.3× 230 0.9× 92 1.1k
Saira Gillani Pakistan 10 414 1.0× 322 1.0× 186 0.7× 384 1.6× 151 0.6× 26 1.1k
Zhiliang Zhu China 17 373 0.9× 213 0.6× 303 1.2× 422 1.7× 97 0.4× 88 1.1k
Denis A. Pustokhin Russia 19 328 0.8× 362 1.1× 172 0.7× 220 0.9× 287 1.2× 55 1.2k

Countries citing papers authored by M. N. Doja

Since Specialization
Citations

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

Fields of papers citing papers by M. N. Doja

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. N. Doja

This figure shows the co-authorship network connecting the top 25 collaborators of M. N. Doja. A scholar is included among the top collaborators of M. N. Doja 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. N. Doja. M. N. Doja 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.
2.
Jaipuria, Jiten, M. N. Doja, Tanvir Ahmad, et al.. (2023). Comparative analysis of real-world data of frequent treatment sequences in metastatic prostate cancer. Current Urology. 18(2). 104–109.
3.
Doja, M. N., et al.. (2022). Data mining and machine learning in cancer survival research: An overview and future recommendations. Journal of Biomedical Informatics. 128. 104026–104026. 40 indexed citations
4.
Doja, M. N., Tanvir Ahmad, Musheer Ahmad, et al.. (2021). An Integrated  Approach for Cancer Survival Prediction Using Data Mining Techniques. Computational Intelligence and Neuroscience. 2021(1). 6342226–6342226. 19 indexed citations
5.
Ahmad, Tanvir, et al.. (2020). A Novel Hybrid Watermarking scheme with Image authentication based on frequency domain, 2- Level SVD using chaotic map. SHILAP Revista de lepidopterología. 8(31). e7–e7. 3 indexed citations
6.
Doja, M. N., et al.. (2020). An energy efficient IS-MAC based on distributed coordination function (DCF) for wireless passive sensor networks. Journal of Information and Optimization Sciences. 41(2). 555–566. 2 indexed citations
7.
Doja, M. N., et al.. (2020). Time-range based sequential mining for survival prediction in prostate cancer. Journal of Biomedical Informatics. 110. 103550–103550. 19 indexed citations
8.
Doja, M. N., et al.. (2020). Age-specific survival in prostate cancer using machine learning. Data Technologies and Applications. 54(2). 215–234. 11 indexed citations
9.
Doja, M. N., et al.. (2019). Recommender System for Personalized Adaptive E-learning Platforms to Enhance Learning Capabilities of Learners Based on their Learning Style and Knowledge Level. SSRN Electronic Journal. 3 indexed citations
10.
Doja, M. N., et al.. (2019). Multimodal KDK Classifier for Automatic Classification of Movie Trailers. International Journal of Recent Technology and Engineering (IJRTE). 8(3). 8481–8490. 4 indexed citations
11.
Ahmad, Tanvir, et al.. (2019). Ensemble of Feature Ranking Methods Using Hesitant Fuzzy Sets for Sentiment Classification. International Journal of Machine Learning and Computing. 9(5). 599–608. 8 indexed citations
12.
13.
Mehra, Pawan Singh, M. N. Doja, & Bashir Alam. (2018). Stability Enhancement in LEACH (SE-LEACH) for Homogeneous WSN. ICST Transactions on Scalable Information Systems. 0(0). 156592–156592. 13 indexed citations
14.
Doja, M. N., et al.. (2017). Web Usage Mining Techniques to Improve the Capabilities of E-learning Websites and Blogs. International Journal of Advanced Research in Computer Science. 8(5). 1847–1851. 2 indexed citations
15.
Malhotra, Shweta, M. N. Doja, Bashir Alam, & Mansaf Alam. (2017). Bigdata analysis and comparison of bigdata analytic approches. 309–314. 2 indexed citations
16.
Masood, Sarfaraz, M. N. Doja, & Pravin Chandra. (2016). Analysis of Weight Initialization Routines for Scaled Conjugate Gradient Training Algorithm. 8 2. 533–538. 3 indexed citations
17.
Masood, Sarfaraz, M. N. Doja, & Pravin Chandra. (2015). Analysis of weight initialization techniques for Gradient Descent algorithm. 1–5. 4 indexed citations
18.
Doja, M. N., et al.. (2013). Analysis of Reactive Routing Protocol Using Fuzzy Inference System. AASRI Procedia. 5. 164–169. 6 indexed citations
19.
Gambhir, Sapna, et al.. (2009). A Novel Approach to Reduce Signaling Delay in HMIPv6 mobile Networks. International Journal of Engineering and Technology. 1(1). 34–39. 1 indexed citations
20.
Doja, M. N., Moinuddin Moinuddin, & Umesh Kumar. (1998). Four Level Simulation of MOSFET. Active and Passive Electronic Components. 21(3). 231–257. 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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