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20242026
most citedLLM-CSEC: Empirical Evaluation of Security in C/C++ Code Generated by Large Language Models

1 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

physics.soc-ph2026

Geography as the Organizing Grammar of Geospatial Models

Rajiv Ranjan, Shashank Tamaskar

GeoAI increasingly produces reusable Earth representation s, physical forecasts, multimodal systems, and reasoning a gents. Their progress exposes two distinct limitations. Geo gra…

cs.CV2026

CGMap: A Geospatially Aware Deep Learning Framework for Crop Gap Mapping Using UAV

Karan Sharma, Rajiv Ranjan, Dinesh Kumar +1

In India, crop germination is primarily monitored by visual inspection and manual counting, which are prone to errors, despite their crucial role in determining eventual yield pote…

cs.CV2026

STS-NET: Spatio-Temporal Stress Network for Self-Supervised Crop Stress Detection using Satellite Image Time Series

Pradeep Dalal, Rajiv Ranjan, Sushil Ghildiyal +2

Early and accurate detection of crop stress is essential to improve agricultural productivity and ensure global food security. However, collecting a large labeled crop stress datas…

cs.AI2025★ 1 cited

LLM-CSEC: Empirical Evaluation of Security in C/C++ Code Generated by Large Language Models

Muhammad Usman Shahid, Chuadhry Mujeeb Ahmed, Rajiv Ranjan

The security of code generated by large language models (LLMs) is a significant concern, as studies indicate that such code often contains vulnerabilities and lacks essential defen…

cs.CV2024★ 1 cited

Evaluating Sugarcane Yield Variability with UAV-Derived Cane Height under Different Water and Nitrogen Conditions

Rajiv Ranjan, Tejasavi Birdh, Nandan Mandal +2

This study investigates the relationship between sugarcane yield and cane height derived under different water and nitrogen conditions from pre-harvest Digital Surface Model (DSM)…