John Martin

1.8k total citations · 1 hit paper
26 papers, 1.4k citations indexed

About

John Martin is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, John Martin has authored 26 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cognitive Neuroscience, 5 papers in Artificial Intelligence and 3 papers in Computer Networks and Communications. Recurrent topics in John Martin's work include EEG and Brain-Computer Interfaces (5 papers), Medical Image Segmentation Techniques (2 papers) and Brain Tumor Detection and Classification (2 papers). John Martin is often cited by papers focused on EEG and Brain-Computer Interfaces (5 papers), Medical Image Segmentation Techniques (2 papers) and Brain Tumor Detection and Classification (2 papers). John Martin collaborates with scholars based in India, Saudi Arabia and United States. John Martin's co-authors include Martha E. Shenton, Ron Kikinis, Robert W. McCarley, Ferenc A. Jólesz, Cynthia G. Wible, Seth D. Pollak, Hiroto Hokama, Michael Coleman, Marjorie LeMay and Guido Gerig and has published in prestigious journals such as New England Journal of Medicine, IEEE Access and Journal of Experimental Psychology Learning Memory and Cognition.

In The Last Decade

John Martin

22 papers receiving 1.3k 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.

Abnormalities of the Left Temporal Lobe and Thought Disorder in Schizophrenia

1992 965 citations Martha E. Shenton, Ron Kikinis et al. New England Journal of Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
John Martin India	9	698	501	483	204	135	26	1.4k
Lijun Jiang China	18	853 1.2×	330 0.7×	519 1.1×	190 0.9×	60 0.4×	76	1.6k
Mick Brammer United Kingdom	18	1.2k 1.7×	311 0.6×	242 0.5×	63 0.3×	127 0.9×	34	1.7k
D Rex United States	19	1.1k 1.6×	419 0.8×	873 1.8×	211 1.0×	140 1.0×	32	2.1k
Walter Hugo Lopez Pinaya United Kingdom	19	743 1.1×	256 0.5×	478 1.0×	140 0.7×	41 0.3×	43	1.5k
Sun I. Kim South Korea	10	570 0.8×	248 0.5×	398 0.8×	111 0.5×	51 0.4×	18	979
M. Berk Mirza United Kingdom	9	604 0.9×	119 0.2×	390 0.8×	411 2.0×	41 0.3×	13	1.3k
William Pettersson‐Yeo United Kingdom	14	1.3k 1.8×	559 1.1×	661 1.4×	20 0.1×	96 0.7×	18	1.9k
Maxime Boucher Canada	11	397 0.6×	178 0.4×	261 0.5×	55 0.3×	57 0.4×	27	887
Vivek Kumar Singh United States	8	414 0.6×	219 0.4×	336 0.7×	180 0.9×	43 0.3×	32	867
Ling‐Li Zeng China	30	2.6k 3.7×	364 0.7×	1.2k 2.4×	100 0.5×	141 1.0×	123	3.4k

Countries citing papers authored by John Martin

Since Specialization

Citations

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

Fields of papers citing papers by John Martin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Martin

This figure shows the co-authorship network connecting the top 25 collaborators of John Martin. A scholar is included among the top collaborators of John Martin 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 John Martin. John Martin 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:

20 of 20 papers shown

Jeribi, Fathe & John Martin. (2025). Adaptive Resource Optimization for IoT-Enabled Disaster-Resilient Non-Terrestrial Networks using Deep Reinforcement Learning. Radioengineering. 34(2). 243–257.

Aruna, M., et al.. (2025). Federated deep reinforcement learning (FDRL) framework using pelican optimization (PO) to achieve sustainable energy in IoT-integrated wireless networks. International Journal of Information Technology. 1 indexed citations

Jeribi, Fathe, et al.. (2025). CentralMaizeGuard: Enhanced deep learning model for maize disease detection and management. Archives of Control Sciences. 221–221.

Martin, John, Ruchi Mittal, Varun Malik, et al.. (2024). XAI-Powered Smart Agriculture Framework for Enhancing Food Productivity and Sustainability. IEEE Access. 12. 168412–168427. 6 indexed citations

Jeribi, Fathe, John Martin, Ruchi Mittal, et al.. (2024). A Deep Learning Based Expert Framework for Portfolio Prediction and Forecasting. IEEE Access. 12. 103810–103829. 10 indexed citations

Mittal, Ruchi, et al.. (2024). DermCDSM: Clinical Decision Support Model for Dermatosis Using Systematic Approaches of Machine Learning and Deep Learning. IEEE Access. 12. 47319–47337. 12 indexed citations

Mittal, Ruchi, et al.. (2024). RT-NeuroDDSM: Real-Time EEG-Driven Diagnostic Decision Support Model for Neurological Disorders Using Deep Learning. IEEE Access. 12. 116711–116726. 6 indexed citations

Martin, John, Rajvardhan Oak, Mukesh Soni, et al.. (2023). Fusion-based Representation Learning Model for Multimode User-generated Social Network Content. Journal of Data and Information Quality. 15(3). 1–21.

Malik, Varun, Ruchi Mittal, Dinesh Mavaluru, et al.. (2023). Building a Secure Platform for Digital Governance Interoperability and Data Exchange Using Blockchain and Deep Learning-Based Frameworks. IEEE Access. 11. 70110–70131. 24 indexed citations

10.

Martin, John. (2022). EEG Feature Engineering Methods-A Comprehensive Review. 5(2). 30–41. 1 indexed citations

11.

Martin, John, et al.. (2022). A Machine Learning Framework for Epileptic Seizure Detection by Analyzing EEG Signals. International Journal of Computing and Digital Systems. 11(1). 1383–1391. 5 indexed citations

12.

Martin, John. (2022). IoMT Supported COVID Care – Technologies and Challenges. International Journal of Engineering and Management Research. 12(1). 125–131. 2 indexed citations

13.

Martin, John, et al.. (2021). A Machine Learning Framework for Epileptic Seizure Detection by Analyzing EEG Signals. International Journal of Computing and Digital Systems. 1–9. 1 indexed citations

14.

Martin, John, et al.. (2018). Multiresolution Analysis in EEG Signal Feature Engineering for Epileptic Seizure Detection. International Journal of Computer Applications. 180(17). 14–20. 9 indexed citations

15.

Martin, John, et al.. (2018). Adopting Machine Learning Models for Data Analytics-A Technical Note. International Journal of Computer Sciences and Engineering. 6(10). 359–364. 7 indexed citations

16.

Martin, John, et al.. (2016). Bottom-up Approach of Modeling Human Decision Making for Building Intelligent Agents. Indian Journal of Science and Technology. 9(4). 7 indexed citations

17.

Kikinis, Ron, Martha E. Shenton, Guido Gerig, et al.. (1992). Routine quantitative analysis of brain and cerebrospinal fluid spaces with MR imaging. Journal of Magnetic Resonance Imaging. 2(6). 619–629. 201 indexed citations

18.

Shenton, Martha E., Ron Kikinis, Ferenc A. Jólesz, et al.. (1992). Abnormalities of the Left Temporal Lobe and Thought Disorder in Schizophrenia. New England Journal of Medicine. 327(9). 604–612. 965 indexed citations breakdown →

19.

Gerig, Guido, John Martin, Ron Kikinis, et al.. (1992). Unsupervised tissue type segmentation of 3D dual-echo MR head data. Image and Vision Computing. 10(6). 349–360. 67 indexed citations

20.

Reder, Lynne M., Cynthia G. Wible, & John Martin. (1986). Differential memory changes with age: Exact retrieval versus plausible inference.. Journal of Experimental Psychology Learning Memory and Cognition. 12(1). 72–81. 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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