Dinesh Garg

1.2k total citations
49 papers, 611 citations indexed

About

Dinesh Garg is a scholar working on Artificial Intelligence, Management Science and Operations Research and Marketing. According to data from OpenAlex, Dinesh Garg has authored 49 papers receiving a total of 611 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 12 papers in Management Science and Operations Research and 7 papers in Marketing. Recurrent topics in Dinesh Garg's work include Auction Theory and Applications (8 papers), Topic Modeling (6 papers) and Consumer Market Behavior and Pricing (6 papers). Dinesh Garg is often cited by papers focused on Auction Theory and Applications (8 papers), Topic Modeling (6 papers) and Consumer Market Behavior and Pricing (6 papers). Dinesh Garg collaborates with scholars based in India, United States and United Kingdom. Dinesh Garg's co-authors include Robert G. Moses, Peter Petocz, Fernando Gil, Rajendra N. Goyal, Y. Narahari, Sujit Gujar, John C. Bowen, Vivek S. Borkar, Babji Srinivasan and Laya Das and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gastroenterology and Food Chemistry.

In The Last Decade

Dinesh Garg

45 papers receiving 569 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dinesh Garg India 13 152 127 85 64 62 49 611
Ioannis Korkontzelos United Kingdom 17 49 0.3× 45 0.4× 563 6.6× 24 0.4× 7 0.1× 75 975
Georges De Moor Belgium 15 17 0.1× 49 0.4× 279 3.3× 82 1.3× 14 0.2× 51 927
Ian Dickinson United Kingdom 14 23 0.2× 77 0.6× 547 6.4× 81 1.3× 14 0.2× 36 974
Chun‐Che Huang Taiwan 12 32 0.2× 46 0.4× 45 0.5× 46 0.7× 4 0.1× 54 597
Dongming Jiang United States 12 11 0.1× 15 0.1× 14 0.2× 12 0.2× 43 0.7× 45 582
Shan Chen China 12 6 0.0× 43 0.3× 67 0.8× 8 0.1× 12 0.2× 50 456
Anurag Verma United States 20 8 0.1× 40 0.3× 38 0.4× 16 0.3× 45 0.7× 65 1.3k
Uzma Afzal Pakistan 10 9 0.1× 15 0.1× 68 0.8× 12 0.2× 15 0.2× 39 556
Jonathan Bury United Kingdom 15 9 0.1× 105 0.8× 205 2.4× 13 0.2× 12 0.2× 36 952
Ismael Sanz Spain 11 8 0.1× 69 0.5× 84 1.0× 16 0.3× 4 0.1× 44 435

Countries citing papers authored by Dinesh Garg

Since Specialization
Citations

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

Fields of papers citing papers by Dinesh Garg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dinesh Garg

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

All Works

20 of 20 papers shown
1.
Garg, Dinesh, et al.. (2022). A Deep Neural Approach to KGQA via SPARQL Silhouette Generation. 2022 International Joint Conference on Neural Networks (IJCNN). 1–8. 4 indexed citations
2.
Garg, Dinesh, et al.. (2021). Threats and Trade-Offs in Resource Critical Crowdsourcing Tasks Over Networks. Proceedings of the AAAI Conference on Artificial Intelligence. 26(1). 2447–2448. 2 indexed citations
3.
Srivastava, Santosh Kumar, et al.. (2020). Inductive Quantum Embedding. Neural Information Processing Systems. 33. 16012–16024. 1 indexed citations
4.
Garg, Dinesh, et al.. (2019). Quantum Embedding of Knowledge for Reasoning. Neural Information Processing Systems. 32. 5594–5604. 8 indexed citations
5.
Garg, Dinesh, et al.. (2019). Implementation of Security Enhancement in AES by Inducting Dynamicity in AES S-Box. International Journal of Innovative Technology and Exploring Engineering. 8(11). 2364–2373. 2 indexed citations
6.
Garg, Dinesh, et al.. (2019). Implementation of Security Enhancement in AES by Inducting Dynamicity in AES S-Box. International Journal of Innovative Technology and Exploring Engineering. 8(10). 2010–2018. 3 indexed citations
7.
Das, Laya, Dinesh Garg, & Babji Srinivasan. (2019). NeuralCompression: A machine learning approach to compress high frequency measurements in smart grid. Applied Energy. 257. 113966–113966. 20 indexed citations
8.
Rajput, Meena, Dinesh Garg, & Rajesh Rajput. (2017). Validation of simplified Indian Diabetes Risk Score for screening undiagnosed diabetes in an urban setting of Haryana. Diabetes & Metabolic Syndrome Clinical Research & Reviews. 11. S539–S542. 9 indexed citations
9.
Deepak, P, Dinesh Garg, & Shirish Shevade. (2017). Latent Space Embedding for Retrieval in Question-Answer Archives. Research Portal (Queen's University Belfast). 855–865. 1 indexed citations
10.
11.
Garg, Dinesh, et al.. (2017). Manipulating Gale-Shapley Algorithm: Preserving Stability and Remaining Inconspicuous. 437–443. 6 indexed citations
12.
Garg, Dinesh, et al.. (2017). A retrospective analysis of trends of HIV and syphilis among blood donors in north India. International Journal of Research in Medical Sciences. 5(9). 3916–3916.
13.
Balakrishnan, N., et al.. (2015). Truthful Interval Cover Mechanisms for Crowdsourcing Applications. Adaptive Agents and Multi-Agents Systems. 1091–1099. 3 indexed citations
14.
Garg, Dinesh. (2014). Clinico-pathological Study of Space Occupying Lesions of Nasal Cavity, Paranasal Sinuses and Nasopharynx. JOURNAL OF CLINICAL AND DIAGNOSTIC RESEARCH. 8(11). FC04–7. 21 indexed citations
15.
Rohilla, Ravi, et al.. (2014). Prevalence and correlates of overweight/obesity among adolescents in an Urban City of North India. Journal of Family Medicine and Primary Care. 3(4). 404–404. 24 indexed citations
16.
Garg, Dinesh, et al.. (2013). Tuberculosis vaccine. Human Vaccines & Immunotherapeutics. 10(2). 420–422. 4 indexed citations
17.
Ramaswamy, Lakshmish, et al.. (2009). CAESAR: A Context-Aware, Social Recommender System for Low-End Mobile Devices. 338–347. 35 indexed citations
18.
Garg, Dinesh, Nanda Kambhatla, Maja Vuković, & Gopal Pingali. (2008). Mining Top Issues from Contact Center Logs for Self Help Portals. 171–178. 1 indexed citations
19.
Garg, Dinesh, Kamal Jain, Kunal Talwar, & Vijay V. Vazirani. (2007). A primal-dual algorithm for computing Fisher equilibrium in the absence of gross substitutability property. Theoretical Computer Science. 378(2). 143–152. 7 indexed citations
20.
Bowen, John C., et al.. (1978). Differential oxygen utilization in the stomach during vasopressin and tourniquet ischemia. Journal of Surgical Research. 25(1). 15–20. 12 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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