Mithilesh Atulkar

444 total citations
37 papers, 267 citations indexed

About

Mithilesh Atulkar is a scholar working on Computer Networks and Communications, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mithilesh Atulkar has authored 37 papers receiving a total of 267 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Networks and Communications, 9 papers in Artificial Intelligence and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mithilesh Atulkar's work include Network Security and Intrusion Detection (11 papers), Advanced Malware Detection Techniques (7 papers) and Non-Invasive Vital Sign Monitoring (6 papers). Mithilesh Atulkar is often cited by papers focused on Network Security and Intrusion Detection (11 papers), Advanced Malware Detection Techniques (7 papers) and Non-Invasive Vital Sign Monitoring (6 papers). Mithilesh Atulkar collaborates with scholars based in India. Mithilesh Atulkar's co-authors include Mitul Kumar Ahirwal, Naresh Kumar Nagwani, Priyanka Tripathi and Laltu Chandra and has published in prestigious journals such as Biomedical Signal Processing and Control, Multimedia Tools and Applications and Applied Intelligence.

In The Last Decade

Mithilesh Atulkar

34 papers receiving 247 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mithilesh Atulkar India 9 106 65 62 48 40 37 267
Chenguang He China 8 151 1.4× 77 1.2× 50 0.8× 32 0.7× 37 0.9× 39 321
Ali Rizwan United Kingdom 10 68 0.6× 88 1.4× 76 1.2× 40 0.8× 45 1.1× 21 362
Sadaqat Ur Rehman United Kingdom 7 152 1.4× 43 0.7× 86 1.4× 68 1.4× 134 3.4× 22 382
Seyedmohammad Salehi United States 8 158 1.5× 84 1.3× 49 0.8× 22 0.5× 25 0.6× 15 287
Yuan Wen Hau Malaysia 11 71 0.7× 68 1.0× 74 1.2× 36 0.8× 78 1.9× 55 300
M. Ramkumar India 7 51 0.5× 46 0.7× 72 1.2× 49 1.0× 44 1.1× 46 232
Tianming Zhao United States 9 48 0.5× 125 1.9× 30 0.5× 49 1.0× 66 1.6× 12 333
Adel Soudani Saudi Arabia 10 138 1.3× 36 0.6× 30 0.5× 46 1.0× 19 0.5× 49 277
Georges Matar Canada 6 95 0.9× 105 1.6× 12 0.2× 44 0.9× 35 0.9× 8 305
Jonathan Woodbridge United States 8 146 1.4× 70 1.1× 50 0.8× 16 0.3× 117 2.9× 20 359

Countries citing papers authored by Mithilesh Atulkar

Since Specialization
Citations

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

Fields of papers citing papers by Mithilesh Atulkar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mithilesh Atulkar

This figure shows the co-authorship network connecting the top 25 collaborators of Mithilesh Atulkar. A scholar is included among the top collaborators of Mithilesh Atulkar 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 Mithilesh Atulkar. Mithilesh Atulkar 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.
Ahirwal, Mitul Kumar, et al.. (2024). A divide and conquer approach for in-depth analysis of brain connectivity network using ordinal sequence based characterizer. Multimedia Tools and Applications. 84(13). 11625–11651. 1 indexed citations
2.
Atulkar, Mithilesh, et al.. (2024). An efficient attack detection approach for software defined Internet of Things using Jaya optimisation based feature selection technique. International Journal of Communication Networks and Distributed Systems. 31(1). 19–41. 1 indexed citations
3.
Atulkar, Mithilesh, et al.. (2024). An Ensemble Edge Computing Approach for SD-IoT security Using Ensemble of Feature Selection Methods and Classification. Arabian Journal for Science and Engineering. 49(9). 12953–12974. 1 indexed citations
4.
Chandra, Laltu, Mithilesh Atulkar, & Priyanka Tripathi. (2024). Fusion of Local and Global Texture Descriptors for Improved Tuberculosis Detection in Chest X-ray Images. 1–7. 2 indexed citations
5.
Ahirwal, Mitul Kumar, et al.. (2023). Weighted ordinal connection based functional network classification for schizophrenia disease detection using EEG signal. Physical and Engineering Sciences in Medicine. 46(3). 1055–1070. 6 indexed citations
6.
Ahirwal, Mitul Kumar, et al.. (2023). Dynamic characterization of functional brain connectivity network for mental workload condition using an effective network identifier. International Journal of Information Technology. 15(1). 229–238. 6 indexed citations
7.
Atulkar, Mithilesh, et al.. (2023). Ryu Controller-based Attack Detection and Mitigation Method in Software Defined Internet of Things. International Journal of Engineering Trends and Technology. 71(9). 138–156. 1 indexed citations
8.
Ahirwal, Mitul Kumar, et al.. (2022). Content-Based Medical Image Retrieval System for Skin Melanoma Diagnosis Based on Optimized Pair-Wise Comparison Approach. Journal of Digital Imaging. 36(1). 45–58. 4 indexed citations
9.
Atulkar, Mithilesh, et al.. (2022). A Distributed Attack Detection System for SDN Using Stack of Classifiers. International Journal of Engineering Trends and Technology. 71(3). 81–90. 1 indexed citations
10.
Ahirwal, Mitul Kumar, et al.. (2022). Human decision making modelling for gambling task under uncertainty and risk. International Journal of Information and Decision Sciences. 14(1). 15–15. 2 indexed citations
11.
Atulkar, Mithilesh, et al.. (2022). An Unsupervised Attack Detection Approach for Software Defined Networks. 1025–1030. 2 indexed citations
12.
Ahirwal, Mitul Kumar, et al.. (2022). Development of human decision making model with consideration of human factors through reinforcement learning and prospect utility theory. Journal of Experimental & Theoretical Artificial Intelligence. 36(7). 1003–1019. 1 indexed citations
13.
Atulkar, Mithilesh, et al.. (2021). Vital Sign Monitoring System for Healthcare Through IoT Based Personal Service Application. Wireless Personal Communications. 122(1). 129–156. 24 indexed citations
14.
Atulkar, Mithilesh, et al.. (2021). IoT-Based Smart Healthcare System: A Review on Constituent Technologies. Journal of Circuits Systems and Computers. 30(11). 2130008–2130008. 9 indexed citations
16.
Ahirwal, Mitul Kumar, et al.. (2021). A review on content-based image retrieval system: present trends and future challenges. International Journal of Computational Vision and Robotics. 11(5). 461–461. 5 indexed citations
17.
Atulkar, Mithilesh, et al.. (2020). Semantic segmentation of ECG waves using hybrid channel-mix convolutional and bidirectional LSTM. Biomedical Signal Processing and Control. 63. 102162–102162. 50 indexed citations
18.
Atulkar, Mithilesh, et al.. (2020). Comprehensive Investigation on IoT based Smart HealthCare System. 325–330. 5 indexed citations
19.
Atulkar, Mithilesh, et al.. (2020). Achieving Enhanced Network Performance in UDP and TCP Traffic of Software Defined Networking by Selecting Java Based Controllers Decisively. International Journal of Innovative Technology and Exploring Engineering. 9(7). 268–274. 1 indexed citations
20.
Atulkar, Mithilesh, et al.. (2018). Heart Rate Variability Analysis: Application Overview. 1518–1523. 6 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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