Aranyak Maity: h-index, Total Citations, and Citation Map
Aranyak Maity's h-index is 9 (9 i10-index, 379+ total citations across 23+ publications) according to Google Scholar as of June 2026. Aranyak Maity is affiliated with Amazon.
Aranyak Maity is a researcher affiliated with Amazon, specializing in Artificial Intelligence, Language Models, Agentic AI. Their work has been cited 379 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Aranyak Maity's Citation Metrics
Bibliometric impact based on 23 indexed publications. Of these, 18 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 9
- i10-Index
- 9
- Total Citations
- 379
- Citing Countries
- 48
As of June 2026.
Aranyak Maity has an h-index of 9 and 379 total citations across 23 publications, with research cited by institutions in 48 countries.
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Global Impact Map
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Power consumption analysis, measurement, management, and issues: A state-of-the-art review of smartphone battery and energy usage
2019261
Top Citing Countries
Top Citing Institutions
Visa Evidence Package
Views and exports tuned for EB-1A, O-1A, and EB-2 NIW petitions. Sustained acclaim, geographic reach, and independent-citation filtering are the strongest evidence categories immigration adjudicators look for.
Significant Contributions
Auto-detected research lines — a seminal paper and the follow-up work building on it. Review and edit before using in a petition. Each Free PDF opens in a new tab — EB-1A organises this into the structure USCIS applies to Criterion 5 of 8 CFR § 204.5(h)(3)(v); EB-1B re-frames it under § 204.5(i)(3) (outstanding researcher); NIW presents it under prong 2 of Matter of Dhanasar.
80 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher established a foundational framework for smartphone energy management and extended it to safety-critical cyber-physical systems, evidenced by a highly cited review and subsequent independent adoption.
The researcher developed high-fidelity fast simulation methods for human-in-the-loop systems, establishing a foundation for certified safe personalization and addressing unknown-unknowns in human-centric AI.
The researcher developed physics-guided models to detect unknown-unknowns in human-in-the-loop systems, extending this framework to cooperative game-theoretic certification for AI-enabled cyber-physical systems.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Aranyak Maity's research
Aranyak Maity is a researcher in Artificial Intelligence, Language Models and Agentic AI at Amazon. Their work has been cited 379 times across 23 publications (h-index 9), according to Google Scholar.
Their most-cited work, “Power consumption analysis, measurement, management, and issues: A state-of-the-art review of smartphone battery and energy usage” (2019), has accumulated 261 citations. Other influential works include “Statistical conformance checking of aviation cyber-physical systems by mining physics guided models” (2023) with 16 citations and “CPS-LLM: large language model based safe usage plan generator for human-in-the-loop human-in-the-plant cyber-physical system” (2024) with 15 citations.
Citations of Aranyak Maity's research come primarily from United States, India and China, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
