Arslan Chaudhry

2.5k total citations
9 papers, 213 citations indexed

About

Arslan Chaudhry is a scholar working on Surgery, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Arslan Chaudhry has authored 9 papers receiving a total of 213 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Surgery, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Artificial Intelligence. Recurrent topics in Arslan Chaudhry's work include Multimodal Machine Learning Applications (3 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Human Pose and Action Recognition (2 papers). Arslan Chaudhry is often cited by papers focused on Multimodal Machine Learning Applications (3 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Human Pose and Action Recognition (2 papers). Arslan Chaudhry collaborates with scholars based in United States, United Kingdom and Israel. Arslan Chaudhry's co-authors include Philip H. S. Torr, Puneet K. Dokania, David López-Paz, Albert Gordo, Marc’Aurelio Ranzato, Marcus Rohrbach, Mohamed Elhoseiny, Thalaiyasingam Ajanthan, Debra Hoppensteadt and Dawid G. Nowak and has published in prestigious journals such as Blood, CHEST Journal and Oxford University Research Archive (ORA) (University of Oxford).

In The Last Decade

Arslan Chaudhry

7 papers receiving 208 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Arslan Chaudhry United States	4	192	136	22	8	7	9	213
Chenshen Wu Spain	3	164 0.9×	133 1.0×	18 0.8×	8 1.0×	4 0.6×	4	186
Jaemin Na South Korea	3	152 0.8×	127 0.9×	16 0.7×	7 0.9×	7 1.0×	7	216
Arthur Douillard France	4	185 1.0×	137 1.0×	20 0.9×	5 0.6×	4 0.6×	7	214
Alexandre Ramé France	3	182 0.9×	133 1.0×	16 0.7×	7 0.9×	3 0.4×	4	211
Vinod K Kurmi India	9	195 1.0×	168 1.2×	37 1.7×	3 0.4×	16 2.3×	17	264
Tiange Luo United Kingdom	2	130 0.7×	88 0.6×	23 1.0×	3 0.4×	5 0.7×	3	157
Matthias De Lange Belgium	3	186 1.0×	118 0.9×	17 0.8×	11 1.4×		3	215
Aron Yu United States	3	115 0.6×	213 1.6×	20 0.9×	3 0.4×	2 0.3×	4	267
Gabriele Graffieti Italy	6	93 0.5×	72 0.5×	13 0.6×	6 0.8×	1 0.1×	9	133
Anastasia Pentina Austria	4	160 0.8×	109 0.8×	14 0.6×	4 0.5×	1 0.1×	5	205

Countries citing papers authored by Arslan Chaudhry

Since Specialization

Citations

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

Fields of papers citing papers by Arslan Chaudhry

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arslan Chaudhry

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Nowak, Dawid G., et al.. (2022). A Tumor Treated With Antibiotics: A Rare Case. Cureus. 14(12). e32819–e32819. 1 indexed citations

2.

Chaudhry, Arslan, et al.. (2021). Acute Pancreatitis-Induced Euglycemic Diabetic Ketoacidosis. Cureus. 13(6). e15949–e15949. 1 indexed citations

3.

Chaudhry, Arslan, et al.. (2021). THE LONG HAUL: A FOLLOW UP STUDY OF PATIENTS DIAGNOSED WITH COVID-19 ONE YEAR AGO AT AN URBAN MEDICAL CENTER IN NEW JERSEY. CHEST Journal. 160(4). A566–A567. 2 indexed citations

4.

Chaudhry, Arslan, et al.. (2021). THE LEAKY LUNG: A CASE OF COVID-19 PNEUMONIA COMPLICATED BY LUNG ABSCESS, BRONCHOPLEURAL FISTULA, AND PNEUMOTHORAX. CHEST Journal. 160(4). A449–A449.

5.

Chaudhry, Arslan, et al.. (2021). Acute Pancreatitis in the Transgender Population. Cureus. 13(7). e16140–e16140. 3 indexed citations

6.

Chaudhry, Arslan, Albert Gordo, Puneet K. Dokania, Philip H. S. Torr, & David López-Paz. (2021). Using Hindsight to Anchor Past Knowledge in Continual Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 35(8). 6993–7001. 101 indexed citations

7.

Chaudhry, Arslan, Albert Gordo, Puneet K. Dokania, Philip H. S. Torr, & David López-Paz. (2020). Using Hindsight to Anchor Past Knowledge in Continual Learning. arXiv (Cornell University). 35(8). 6993–7001. 4 indexed citations

8.

Chaudhry, Arslan, Marcus Rohrbach, Mohamed Elhoseiny, et al.. (2019). Continual learning with tiny episodic memories. Oxford University Research Archive (ORA) (University of Oxford). 100 indexed citations

9.

Hoppensteadt, Debra, et al.. (2012). Effect of Heparin and Its Derivatives On the Progression of Tumor Growth in Mouse Lewis Lung Carcinoma Model.. Blood. 120(21). 2274–2274. 1 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.

Explore authors with similar magnitude of impact