Abhishek Jain

16.4k citations
56 papers · 3.8k indexed · 1 hit paper · h-index 13

Abhishek Jain

48 papers receiving 3.5k citations

Hit Papers

Artificial neural networks: a tutorial3.3k199620262006201610002.0k3.0k

Peers

Abhishek Jain
Comparison fields: 5 of 208
  • Artificial Intelligence 1.2k
  • Environmental Engineering 275
  • Computer Vision and Pattern Recognition 386
  • Signal Processing 202
  • Management Science and Operations Research 176
Replace Khalid Mohiuddin with:
Khalid Mohiuddin Saudi Arabia
Yunqian Ma United States
S. N. Deepa India
A. Sherstinsky United States
Shotaro Sano Japan
Laurene V. Fausett United States
Senén Barro Spain
Takuya Akiba Japan
Claude Sammut Australia
Abhishek Jain relative to Khalid Mohiuddin Saudi Arabia Khalid Mohiuddin's profile →
Citations per field
00.5×1.5×
Khalid Mohiuddin · 1×
Citations per year

Countries citing papers authored by Abhishek Jain

Since Specialization
Citations

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

Fields of papers citing papers by Abhishek Jain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Abhishek Jain, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Abhishek Jain Line = papers co-authored together Abhishek Jain links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20240
4 20246
5 20232
6 20231
7 20231
8 20230
9 20231
10 20192
11 20180
12 20109
13 20108
14 200913
15
Computation of 3D Implant Coordinates for Prostate Brachytherapy
20073
16 200720
17 20071
18 20042
19 19980
20
Sonography of hip joint in infective arthritis.
199022

About Abhishek Jain

Abhishek Jain is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Radiation, Computer Networks and Communications and Computer Graphics and Computer-Aided Design, having authored 56 papers that have together received 3.8k indexed citations. Recurring topics across this work include Cryptography and Data Security (18 papers), Complexity and Algorithms in Graphs (9 papers), Advanced Radiotherapy Techniques (6 papers), Network Security and Intrusion Detection (6 papers), Privacy-Preserving Technologies in Data (5 papers), Cryptographic Implementations and Security (4 papers), Advanced X-ray and CT Imaging (4 papers) and Medical Imaging Techniques and Applications (3 papers). The work is most often cited by research in Artificial Intelligence (1.2k citations), Environmental Engineering (275 citations), Computer Vision and Pattern Recognition (386 citations), Signal Processing (202 citations) and Management Science and Operations Research (176 citations). Abhishek Jain has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Khalid Mohiuddin, Jianchang Mao, Agostino Consoli, Lawrence J. Mandarino, David E. Kelley, Ran Canetti, Adrian Perrig, Xin Zhang, Alessandra Scafuro and Shafi Goldwasser. Their work appears in journals such as Medical Physics, International Journal of Radiation Oncology*Biology*Physics, American Journal of Physiology-Endocrinology and Metabolism, Computer Communications and Behavioral Sciences & the Law.

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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2026