Angad Singh

1.4k total citations
36 papers, 1.0k citations indexed

About

Angad Singh is a scholar working on General Health Professions, Mechanical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Angad Singh has authored 36 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in General Health Professions, 5 papers in Mechanical Engineering and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Angad Singh's work include Adhesion, Friction, and Surface Interactions (3 papers), Modular Robots and Swarm Intelligence (3 papers) and Chronic Disease Management Strategies (2 papers). Angad Singh is often cited by papers focused on Adhesion, Friction, and Surface Interactions (3 papers), Modular Robots and Swarm Intelligence (3 papers) and Chronic Disease Management Strategies (2 papers). Angad Singh collaborates with scholars based in United States, India and Canada. Angad Singh's co-authors include Abhishek Sahu, Utpal Bora, Abhinav Luthra, Naresh Kasoju, Shahin S. Ali, Avishek Majumder, Arun Goyal, Kannan Pakshirajan, Michael G. Leu and Paul R. Sutton and has published in prestigious journals such as Bioresource Technology, Carbohydrate Polymers and Journal of General Internal Medicine.

In The Last Decade

Angad Singh

35 papers receiving 918 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Angad Singh United States	12	226	145	141	139	95	36	1.0k
Sandeep Singh Gill India	14	124 0.5×	124 0.9×	54 0.4×	85 0.6×	96 1.0×	97	1.2k
Subhash Chandra India	18	199 0.9×	93 0.6×	57 0.4×	428 3.1×	78 0.8×	103	1.4k
Kaliaperumal Karthikeyan India	20	160 0.7×	120 0.8×	88 0.6×	264 1.9×	16 0.2×	165	1.5k
Prakash Chandra Gupta India	16	289 1.3×	149 1.0×	48 0.3×	146 1.1×	50 0.5×	87	1.2k
Christian K. O. Dzuvor Australia	11	114 0.5×	124 0.9×	64 0.5×	156 1.1×	34 0.4×	16	801
Ruilin Li China	21	199 0.9×	115 0.8×	68 0.5×	535 3.8×	31 0.3×	70	1.3k
B Ravishankar India	20	365 1.6×	163 1.1×	45 0.3×	262 1.9×	41 0.4×	181	1.6k
Nishant Rai India	17	157 0.7×	129 0.9×	63 0.4×	140 1.0×	28 0.3×	93	886
Petr Sláma Czechia	24	225 1.0×	222 1.5×	57 0.4×	397 2.9×	23 0.2×	122	1.9k
Sonia Singh India	16	193 0.9×	94 0.6×	55 0.4×	231 1.7×	22 0.2×	136	848

Countries citing papers authored by Angad Singh

Since Specialization

Citations

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

Fields of papers citing papers by Angad Singh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Angad Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Angad Singh. A scholar is included among the top collaborators of Angad Singh 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 Angad Singh. Angad Singh 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:

20 of 20 papers shown

Lybarger, Kevin, Angad Singh, Brian R. Wood, et al.. (2025). Patient and clinician acceptability of automated extraction of social drivers of health from clinical notes in primary care. Journal of the American Medical Informatics Association. 32(5). 855–865.

Gaster, Barak, Monica Zigman Suchsland, Annette L. Fitzpatrick, et al.. (2024). Evaluating Cognitive Impairment in a Large Health Care System: The Cognition in Primary Care Program. Journal of Alzheimer s Disease. 99(2). 493–501. 1 indexed citations

Singh, Angad, et al.. (2024). Pothole Sensing and Depth Estimation System using Deep Learning Technique. 1–4. 1 indexed citations

Singh, Angad, et al.. (2024). A Review of Real-Time Sign Language Recognition for Virtual Interaction on Meeting Platforms. 364–369. 2 indexed citations

Jin, Gong Yong, et al.. (2023). GLEAM: GAN and LLM for Evasive Adversarial Malware. 53–58. 7 indexed citations

Basu, Saurav, et al.. (2023). Hypertension Control Cascade and Regional Performance in India: A Repeated Cross-Sectional Analysis (2015-2021). Cureus. 15(2). e35449–e35449. 18 indexed citations

Singh, Angad, et al.. (2023). Facial Emotion Recognition for Students Using Machine Learning. 9. 1–4. 2 indexed citations

Lybarger, Kevin, et al.. (2023). Leveraging natural language processing to augment structured social determinants of health data in the electronic health record. Journal of the American Medical Informatics Association. 30(8). 1389–1397. 19 indexed citations

Hartzler, Andrea L., Kevin Lybarger, Brian R. Wood, et al.. (2023). Integrating patient voices into the extraction of social determinants of health from clinical notes: ethical considerations and recommendations. Journal of the American Medical Informatics Association. 30(8). 1456–1462. 2 indexed citations

10.

Turko, Andy J., et al.. (2021). Understanding fish cognition: a review and appraisal of current practices. Animal Cognition. 24(3). 395–406. 51 indexed citations

11.

Rodriguez, Lauren, et al.. (2015). National Survey of Medical Spanish Curriculum in U.S. Medical Schools. Journal of General Internal Medicine. 30(10). 1434–1439. 54 indexed citations

12.

Singh, Angad, et al.. (2014). Secure User Authentication & Graphical Password using Cued Click-Points. International Journal of Computer Trends and Technology. 18(4). 156–160. 1 indexed citations

13.

Singh, Angad, et al.. (2013). Modelling of direct metal laser sintering of EOS DM20 bronze using neural networks and genetic algorithms. Warwick Research Archive Portal (University of Warwick). 8 indexed citations

14.

Gupta, Neha, et al.. (2012). Cluster Based on Demand Routing Protocol for Mobile Ad Hoc Network. 1(3). 7 indexed citations

15.

Singh, Angad, Avishek Majumder, & Arun Goyal. (2008). Artificial intelligence based optimization of exocellular glucansucrase production from Leuconostoc dextranicum NRRL B-1146. Bioresource Technology. 99(17). 8201–8206. 45 indexed citations

16.

Majumder, Avishek, Angad Singh, & Arun Goyal. (2008). Application of response surface methodology for glucan production from Leuconostoc dextranicum and its structural characterization. Carbohydrate Polymers. 75(1). 150–156. 83 indexed citations

17.

Pakshirajan, Kannan, et al.. (2007). Artificial Neural Network-Genetic Algorithm Approach to Optimize Media Constituents for Enhancing Lipase Production by a Soil Microorganism. Applied Biochemistry and Biotechnology. 144(3). 225–235. 59 indexed citations

18.

Singh, Angad & David Starobinski. (2007). A Semi Markov-based Analysis of Rate Adaptation Algorithms in Wireless LANs. 3. 371–380. 5 indexed citations

19.

Ali, Shahin S., Naresh Kasoju, Abhinav Luthra, et al.. (2007). Indian medicinal herbs as sources of antioxidants. Food Research International. 41(1). 1–15. 361 indexed citations

20.

Kaur, Kawaljit, et al.. (2005). COVID-19 AND “NEW NORMAL”. 2021. 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.

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