Pankesh Patel

2.8k total citations · 1 hit paper
44 papers, 1.6k citations indexed

About

Pankesh Patel is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Pankesh Patel has authored 44 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Networks and Communications, 17 papers in Computer Vision and Pattern Recognition and 14 papers in Artificial Intelligence. Recurrent topics in Pankesh Patel's work include IoT and Edge/Fog Computing (16 papers), Context-Aware Activity Recognition Systems (11 papers) and Service-Oriented Architecture and Web Services (7 papers). Pankesh Patel is often cited by papers focused on IoT and Edge/Fog Computing (16 papers), Context-Aware Activity Recognition Systems (11 papers) and Service-Oriented Architecture and Web Services (7 papers). Pankesh Patel collaborates with scholars based in India, Ireland and United States. Pankesh Patel's co-authors include Amit Sheth, Muhammad Intizar Ali, Ajith Ranabahu, Damien Cassou, Rajiv Ranjan, Omer Rana, Tejal Shah, Zhenyu Wen, Rudresh Dwivedi and Devam Dave and has published in prestigious journals such as ACM Computing Surveys, Journal of Systems and Software and IEEE Intelligent Systems.

In The Last Decade

Pankesh Patel

44 papers receiving 1.5k citations

Hit Papers

Explainable AI (XAI): Core Ideas, Techniques, and Solutions 2022 2026 2023 2024 2022 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pankesh Patel India 15 667 499 471 222 171 44 1.6k
Boyi Xu China 14 873 1.3× 695 1.4× 318 0.7× 238 1.1× 173 1.0× 67 1.7k
Hongming Cai China 16 745 1.1× 741 1.5× 373 0.8× 217 1.0× 227 1.3× 137 1.8k
Zeeshan Pervez United Kingdom 22 551 0.8× 341 0.7× 506 1.1× 217 1.0× 133 0.8× 87 1.4k
John Soldatos Greece 19 485 0.7× 349 0.7× 248 0.5× 181 0.8× 224 1.3× 106 1.3k
Davy Preuveneers Belgium 19 729 1.1× 609 1.2× 510 1.1× 411 1.9× 172 1.0× 134 1.6k
Wilma Russo Italy 21 1.1k 1.6× 419 0.8× 357 0.8× 313 1.4× 96 0.6× 64 1.6k
Abdullah Ayub Khan Pakistan 27 561 0.8× 808 1.6× 433 0.9× 265 1.2× 81 0.5× 93 1.8k
Radhya Sahal Egypt 19 481 0.7× 312 0.6× 368 0.8× 131 0.6× 286 1.7× 38 1.6k
Long Cheng China 23 835 1.3× 735 1.5× 369 0.8× 161 0.7× 86 0.5× 108 1.6k
Ernesto Expósito France 15 684 1.0× 351 0.7× 448 1.0× 107 0.5× 194 1.1× 86 1.4k

Countries citing papers authored by Pankesh Patel

Since Specialization
Citations

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

Fields of papers citing papers by Pankesh Patel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pankesh Patel

This figure shows the co-authorship network connecting the top 25 collaborators of Pankesh Patel. A scholar is included among the top collaborators of Pankesh Patel 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 Pankesh Patel. Pankesh Patel 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.
Dwivedi, Rudresh, Devam Dave, Omer Rana, et al.. (2022). Explainable AI (XAI): Core Ideas, Techniques, and Solutions. ACM Computing Surveys. 55(9). 1–33. 506 indexed citations breakdown →
2.
Rana, Omer, Yinhao Li, Rajiv Ranjan, et al.. (2021). A Fault-Tolerant Workflow Composition and Deployment Automation IoT Framework in a Multicloud Edge Environment. IEEE Internet Computing. 26(4). 45–52. 11 indexed citations
3.
Sudharsan, Bharath, Pankesh Patel, John G. Breslin, et al.. (2021). Toward Distributed, Global, Deep Learning Using IoT Devices. IEEE Internet Computing. 25(3). 6–12. 14 indexed citations
4.
Ali, Muhammad Intizar, Pankesh Patel, John G. Breslin, Ramy Harik, & Amit Sheth. (2021). Cognitive Digital Twins for Smart Manufacturing. IEEE Intelligent Systems. 36(2). 96–100. 46 indexed citations
5.
Sudharsan, Bharath, et al.. (2021). Demo Abstract: Porting and Execution of Anomalies Detection Models on Embedded Systems in IoT. Scholar Commons (University of South Carolina). 4 indexed citations
6.
Sudharsan, Bharath, et al.. (2021). OWSNet: Towards Real-time Offensive Words Spotting Network for Consumer IoT Devices. 83–88. 3 indexed citations
7.
Patel, Vatsal, et al.. (2020). A distributed framework to orchestrate video analytics across edge and cloud: a use case of smart doorbell. The Internet of Things. 4 indexed citations
8.
Mitra, Karan, et al.. (2020). A Blockchain-based Approach for Assessing Compliance with SLA-guaranteed IoT Services. 213–220. 17 indexed citations
9.
Patel, Pankesh, et al.. (2019). A Story Systematic Methodical Facts Ownership Examine Agreement in Threat Storage. International Journal of Innovative Technology and Exploring Engineering. 8(11S). 840–844. 1 indexed citations
10.
Solaiman, Ellis, et al.. (2019). Service level agreement specification for end‐to‐end IoT application ecosystems. Software Practice and Experience. 49(12). 1689–1711. 9 indexed citations
11.
Jha, Devki Nandan, et al.. (2019). SLA-aware Approach for IoT Workflow Activities Placement based on Collaboration between Cloud and Edge. 30–37. 2 indexed citations
12.
Gyrard, Amélie, Pankesh Patel, Soumya Kanti Datta, & Muhammad Intizar Ali. (2017). Semantic Web Meets Internet of Things and Web of Things. HAL (Le Centre pour la Communication Scientifique Directe). 917–920. 11 indexed citations
13.
Ali, Muhammad Intizar, Pankesh Patel, Soumya Kanti Datta, & Amélie Gyrard. (2017). Multi-Layer Cross Domain Reasoning over Distributed Autonomous IoT Applications. 3(1). 75–90. 15 indexed citations
14.
Patel, Pankesh, Muhammad Intizar Ali, & Amit Sheth. (2017). On Using the Intelligent Edge for IoT Analytics. IEEE Intelligent Systems. 32(5). 64–69. 117 indexed citations
15.
Patel, Pankesh, et al.. (2016). IoTSuite: a framework to design, implement, and deploy IoT applications: demonstration abstract. Information Processing in Sensor Networks. 37. 6 indexed citations
16.
Patel, Pankesh, Amélie Gyrard, Dhavalkumar Thakker, Amit Sheth, & Martín Serrano. (2016). SWoTSuite: A Toolkit for Prototyping Cross-domain Semantic Web of Things Applications.. International Semantic Web Conference. 4 indexed citations
17.
18.
Patel, Pankesh, et al.. (2016). A development framework for programming cyber-physical systems. 47–53. 15 indexed citations
19.
Gyrard, Amélie, Pankesh Patel, Amit Sheth, & Martín Serrano. (2016). Building the Web of Knowledge with Smart IoT Applications. IEEE Intelligent Systems. 31(5). 83–88. 22 indexed citations
20.
Patel, Pankesh & Sanjay Chaudhary. (2009). Context Aware Semantic Service Discovery. 1–8. 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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