Devansh Shah

709 total citations · 1 hit paper
8 papers, 360 citations indexed

About

Devansh Shah is a scholar working on Artificial Intelligence, Building and Construction and Computer Networks and Communications. According to data from OpenAlex, Devansh Shah has authored 8 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 2 papers in Building and Construction and 1 paper in Computer Networks and Communications. Recurrent topics in Devansh Shah's work include IoT and Edge/Fog Computing (1 paper), Innovative Teaching and Learning Methods (1 paper) and Artificial Intelligence in Healthcare (1 paper). Devansh Shah is often cited by papers focused on IoT and Edge/Fog Computing (1 paper), Innovative Teaching and Learning Methods (1 paper) and Artificial Intelligence in Healthcare (1 paper). Devansh Shah collaborates with scholars based in India and United States. Devansh Shah's co-authors include Santosh Kumar Bharti, Samir Patel, Arun Singh, Paris Smaragdis, Ritwik Giri, Nishant Doshi, Jean-Marc Valin and Rushil Shah and has published in prestigious journals such as Materials Today Proceedings, SN Computer Science and International Journal of Recent Technology and Engineering (IJRTE).

In The Last Decade

Devansh Shah

7 papers receiving 321 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Heart Disease Prediction using Machine Learning Techniques

2020 325 citations Devansh Shah, Samir Patel et al. SN Computer Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Devansh Shah India	4	266	153	61	58	43	8	360
Eva Ignatious Australia	4	217 0.8×	152 1.0×	63 1.0×	65 1.1×	35 0.8×	6	389
Anna Karen Gárate-Escamilla France	4	184 0.7×	124 0.8×	40 0.7×	52 0.9×	28 0.7×	8	274
Yar Muhammad Pakistan	5	114 0.4×	107 0.7×	35 0.6×	80 1.4×	56 1.3×	9	285
Md. Mamun Ali Bangladesh	8	237 0.9×	185 1.2×	56 0.9×	78 1.3×	26 0.6×	24	439
Nada Ahmed Saudi Arabia	6	154 0.6×	111 0.7×	42 0.7×	29 0.5×	26 0.6×	11	284
Behdad Bahadorian Iran	7	242 0.9×	182 1.2×	110 1.8×	53 0.9×	62 1.4×	8	361
Álvaro Sobrinho Brazil	8	83 0.3×	97 0.6×	31 0.5×	37 0.6×	27 0.6×	37	264
Shaik Razia India	9	110 0.4×	98 0.6×	13 0.2×	23 0.4×	21 0.5×	21	250
Najeeb Ullah Pakistan	8	75 0.3×	60 0.4×	20 0.3×	47 0.8×	85 2.0×	26	284
Vijeta Sharma India	4	102 0.4×	99 0.6×	20 0.3×	17 0.3×	14 0.3×	5	238

Countries citing papers authored by Devansh Shah

Since Specialization

Citations

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

Fields of papers citing papers by Devansh Shah

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Devansh Shah

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

All Works

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8 of 8 papers shown

1.

Shah, Rushil, et al.. (2023). Advancement and application of Theo Jansen linkages: A review. AIP conference proceedings. 2981. 90020–90020.

2.

Giri, Ritwik, et al.. (2023). A Framework for Unified Real-Time Personalized and Non-Personalized Speech Enhancement. 3 indexed citations

3.

Shah, Devansh, et al.. (2022). Sentimental Analysis Using Supervised Learning Algorithms. 1–6. 21 indexed citations

4.

Shah, Rushil, et al.. (2022). A comparative study of kinematic analysis between conventional Theo Jansen mechanism and modified Theo Jansen mechanism developed using ABS for the development of spyder robot. Materials Today Proceedings. 72. 918–926. 2 indexed citations

5.

Shah, Devansh, et al.. (2021). EMERGING TECHNOLOGIES AND APPLICATIONS FOR SMART CITIES. 15(2). 19–24. 4 indexed citations

6.

Shah, Devansh, et al.. (2020). Spaced Repetition for Slow Learners. 146–151. 3 indexed citations

7.

Shah, Devansh, et al.. (2020). Airline Delay Prediction using Machine Learning and Deep Learning Techniques. International Journal of Recent Technology and Engineering (IJRTE). 9(2). 1049–1054. 2 indexed citations

8.

Shah, Devansh, Samir Patel, & Santosh Kumar Bharti. (2020). Heart Disease Prediction using Machine Learning Techniques. SN Computer Science. 1(6). 325 indexed citations breakdown →

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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