Neil Shah

185 total papers · 3.2k total citations
67 papers, 1.4k citations indexed

About

Neil Shah is a scholar working on Artificial Intelligence, Information Systems and Statistical and Nonlinear Physics. According to data from OpenAlex, Neil Shah has authored 67 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Artificial Intelligence, 25 papers in Information Systems and 16 papers in Statistical and Nonlinear Physics. Recurrent topics in Neil Shah's work include Advanced Graph Neural Networks (19 papers), Recommender Systems and Techniques (14 papers) and Complex Network Analysis Techniques (14 papers). Neil Shah is often cited by papers focused on Advanced Graph Neural Networks (19 papers), Recommender Systems and Techniques (14 papers) and Complex Network Analysis Techniques (14 papers). Neil Shah collaborates with scholars based in United States, India and China. Neil Shah's co-authors include Christos Faloutsos, Alex Beutel, Meet Soni, Yozen Liu, Hemant A. Patil, Brian Gallagher, Tong Zhao, Meng Jiang, Bryan Hooi and Manan Shah and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computers in Human Behavior and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Neil Shah

56 papers receiving 1.4k citations

Hit Papers

Data Augmentation for Gra... 2021 2026 2022 2024 2021 50 100 150 200

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Neil Shah 920 337 305 303 283 67 1.4k
Panagiotis Karras 1.0k 1.1× 308 0.9× 539 1.8× 464 1.5× 129 0.5× 87 1.6k
Silvio Lattanzi 696 0.8× 318 0.9× 530 1.7× 185 0.6× 646 2.3× 64 1.5k
Iván Herman 493 0.5× 330 1.0× 284 0.9× 224 0.7× 293 1.0× 82 1.7k
Sancheng Peng 507 0.6× 288 0.9× 528 1.7× 236 0.8× 358 1.3× 67 1.5k
Panagiotis Symeonidis 850 0.9× 1.1k 3.2× 212 0.7× 180 0.6× 377 1.3× 68 1.8k
Zhengzhang Chen 676 0.7× 302 0.9× 566 1.9× 324 1.1× 175 0.6× 66 1.4k
Ron Bekkerman 862 0.9× 467 1.4× 212 0.7× 81 0.3× 194 0.7× 35 1.3k
Lidan Shou 472 0.5× 271 0.8× 258 0.8× 323 1.1× 82 0.3× 110 1.1k
Flora Amato 506 0.6× 548 1.6× 373 1.2× 165 0.5× 120 0.4× 108 1.3k
Nagarajan Natarajan 682 0.7× 267 0.8× 305 1.0× 67 0.2× 236 0.8× 62 1.6k

Countries citing papers authored by Neil Shah

Since Specialization
Citations

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

Fields of papers citing papers by Neil Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neil Shah

This figure shows the co-authorship network connecting the top 25 collaborators of Neil Shah. A scholar is included among the top collaborators of Neil Shah 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 Neil Shah. Neil Shah is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026