Doreswamy

585 total citations
22 papers, 364 citations indexed

About

Doreswamy is a scholar working on Artificial Intelligence, Computer Networks and Communications and Environmental Engineering. According to data from OpenAlex, Doreswamy has authored 22 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 5 papers in Computer Networks and Communications and 5 papers in Environmental Engineering. Recurrent topics in Doreswamy's work include Air Quality Monitoring and Forecasting (5 papers), Anomaly Detection Techniques and Applications (4 papers) and Internet Traffic Analysis and Secure E-voting (3 papers). Doreswamy is often cited by papers focused on Air Quality Monitoring and Forecasting (5 papers), Anomaly Detection Techniques and Applications (4 papers) and Internet Traffic Analysis and Secure E-voting (3 papers). Doreswamy collaborates with scholars based in India and Egypt. Doreswamy's co-authors include Ibrahim Gad, B. R. Manjunatha, Osama A. Ghoneim and Hemanth Kolla and has published in prestigious journals such as International Journal of Computational Intelligence Systems, CAAI Transactions on Intelligence Technology and Journal of Computational and Theoretical Nanoscience.

In The Last Decade

Doreswamy

18 papers receiving 347 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Doreswamy India 8 201 162 81 70 60 22 364
Qin Zhao China 9 200 1.0× 158 1.0× 106 1.3× 91 1.3× 33 0.6× 37 430
Junshan Wang China 10 201 1.0× 127 0.8× 197 2.4× 65 0.9× 27 0.5× 21 493
Amin Anjomshoaa Austria 10 141 0.7× 88 0.5× 74 0.9× 54 0.8× 44 0.7× 35 405
Ann Move Oguti China 7 119 0.6× 103 0.6× 46 0.6× 34 0.5× 32 0.5× 7 273
Hsin‐Ta Chiao Taiwan 6 227 1.1× 185 1.1× 22 0.3× 83 1.2× 51 0.8× 33 377
Ditsuhi Iskandaryan Spain 6 139 0.7× 99 0.6× 30 0.4× 48 0.7× 31 0.5× 12 230
Valerio Panzica La Manna Netherlands 11 114 0.6× 89 0.5× 111 1.4× 42 0.6× 23 0.4× 25 291
Josue Rodolfo Cuevas Juarez Taiwan 6 111 0.6× 87 0.5× 75 0.9× 36 0.5× 37 0.6× 7 282
Francisco Ramos Spain 9 171 0.9× 117 0.7× 18 0.2× 55 0.8× 48 0.8× 29 368
Shouxu Jiang China 7 127 0.6× 66 0.4× 80 1.0× 41 0.6× 34 0.6× 27 374

Countries citing papers authored by Doreswamy

Since Specialization
Citations

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

Fields of papers citing papers by Doreswamy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Doreswamy

This figure shows the co-authorship network connecting the top 25 collaborators of Doreswamy. A scholar is included among the top collaborators of Doreswamy 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 Doreswamy. Doreswamy 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
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Doreswamy, et al.. (2020). Forecasting Air Pollution Particulate Matter (PM2.5) Using Machine Learning Regression Models. Procedia Computer Science. 171. 2057–2066. 194 indexed citations
3.
Doreswamy, et al.. (2020). Feature selection approach using ensemble learning for network anomaly detection. CAAI Transactions on Intelligence Technology. 5(4). 283–293. 41 indexed citations
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Doreswamy, et al.. (2019). Machine Learning Based Network Anomaly Detection. International Journal of Recent Technology and Engineering (IJRTE). 8(4). 542–548. 5 indexed citations
6.
Doreswamy, et al.. (2018). Multidimensional Data Model for Air Pollution Data Analysis. 1684–1689. 4 indexed citations
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Doreswamy, Ibrahim Gad, & B. R. Manjunatha. (2017). Performance evaluation of predictive models for missing data imputation in weather data. 1327–1334. 26 indexed citations
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Doreswamy, Ibrahim Gad, & B. R. Manjunatha. (2017). Hybrid data warehouse model for climate big data analysis. 1–9. 9 indexed citations
11.
Doreswamy, et al.. (2016). A Binary Bat Inspired Algorithm for the Classification of Breast Cancer Data. Zenodo (CERN European Organization for Nuclear Research). 5(2/3). 1–21. 7 indexed citations
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Doreswamy, et al.. (2015). Fast Modular Artificial Neural Network for the Classification of Breast Cancer Data. 66–72. 6 indexed citations
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Doreswamy, et al.. (2015). BAT-ELM: A bio inspired model for prediction of breast cancer data. 501–506. 8 indexed citations
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Doreswamy. (2011). Linear Regression Model for Knowledge Discovery in Engineering Materials. 3. 147–156. 4 indexed citations
17.
Doreswamy & Hemanth Kolla. (2011). Hybrid Data Mining Technique for Knowledge Discovery from Engineering Materials Data Sets. 3(1). 166–177. 7 indexed citations
18.
Doreswamy. (2011). A Study on Similarity Measure Functions on Engineering Materials Selection. 3. 157–168. 3 indexed citations
19.
Doreswamy, et al.. (2010). Similarity Measuring Approach For Engineering Materials Selection. International Journal of Computational Intelligence Systems. 3(1). 115–122. 4 indexed citations
20.
Doreswamy. (2008). A Survey For Data Mining Frame Work For Polymer Matrix Composite Engineering Materials Design Applications. International Journal of Computational Intelligence Systems. 1(4). 313–328. 2 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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