Akhil Kadiyala

858 total citations
38 papers, 694 citations indexed

About

Akhil Kadiyala is a scholar working on Environmental Engineering, Automotive Engineering and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Akhil Kadiyala has authored 38 papers receiving a total of 694 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Environmental Engineering, 21 papers in Automotive Engineering and 19 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Akhil Kadiyala's work include Air Quality Monitoring and Forecasting (21 papers), Vehicle emissions and performance (21 papers) and Air Quality and Health Impacts (19 papers). Akhil Kadiyala is often cited by papers focused on Air Quality Monitoring and Forecasting (21 papers), Vehicle emissions and performance (21 papers) and Air Quality and Health Impacts (19 papers). Akhil Kadiyala collaborates with scholars based in United States. Akhil Kadiyala's co-authors include Ashok Kumar, Ashok Kumar, Raghava R. Kommalapati, Ziaul Huque, Ashok Kumar, Devinder Kaur, Ashutosh Kumar, Ashok Kumar and Ashok Kumar and has published in prestigious journals such as Journal of Hazardous Materials, Sustainability and Energies.

In The Last Decade

Akhil Kadiyala

38 papers receiving 683 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Akhil Kadiyala United States 18 420 248 244 91 72 38 694
Saleh M. Al-Alawi Oman 7 247 0.6× 70 0.3× 172 0.7× 51 0.6× 19 0.3× 17 710
Daniel H. Loughlin United States 17 132 0.3× 92 0.4× 186 0.8× 26 0.3× 23 0.3× 41 665
Pachaivannan Partheeban India 10 213 0.5× 67 0.3× 132 0.5× 41 0.5× 24 0.3× 52 541
Sharad Gokhale India 22 540 1.3× 571 2.3× 747 3.1× 21 0.2× 41 0.6× 52 1.4k
Norazian Mohamed Noor Malaysia 12 209 0.5× 45 0.2× 171 0.7× 22 0.2× 24 0.3× 66 629
Chenkai Zhang China 14 57 0.1× 67 0.3× 166 0.7× 69 0.8× 35 0.5× 43 592
Ricardo Piedrahita United States 18 534 1.3× 151 0.6× 537 2.2× 31 0.3× 179 2.5× 32 1.1k
Theodore Younglove United States 17 121 0.3× 580 2.3× 187 0.8× 10 0.1× 38 0.5× 31 912
Carl Malings United States 17 811 1.9× 182 0.7× 744 3.0× 26 0.3× 69 1.0× 30 1.1k

Countries citing papers authored by Akhil Kadiyala

Since Specialization
Citations

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

Fields of papers citing papers by Akhil Kadiyala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akhil Kadiyala

This figure shows the co-authorship network connecting the top 25 collaborators of Akhil Kadiyala. A scholar is included among the top collaborators of Akhil Kadiyala 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 Akhil Kadiyala. Akhil Kadiyala 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.
Kadiyala, Akhil & Ashok Kumar. (2018). Applications of python to evaluate the performance of bagging methods. Environmental Progress & Sustainable Energy. 37(5). 1555–1559. 33 indexed citations
2.
Kadiyala, Akhil & Ashok Kumar. (2018). Applications of Python to Evaluate the Performance of Bagging Methods. Environmental Progress & Sustainable Energy. 1 indexed citations
3.
Kadiyala, Akhil & Ashok Kumar. (2017). Applications of Python to evaluate environmental data science problems. Environmental Progress & Sustainable Energy. 36(6). 1580–1586. 36 indexed citations
4.
Kadiyala, Akhil, Raghava R. Kommalapati, & Ziaul Huque. (2016). Quantification of the Lifecycle Greenhouse Gas Emissions from Nuclear Power Generation Systems. Energies. 9(11). 863–863. 20 indexed citations
5.
Kadiyala, Akhil & Ashok Kumar. (2016). Multivariate time series based radial basis function neural network modeling of air quality inside a public transportation bus using available software. Environmental Progress & Sustainable Energy. 35(4). 931–935. 6 indexed citations
6.
Kadiyala, Akhil & Ashok Kumar. (2015). Univariate time series based back propagation neural network modeling of air quality inside a public transportation bus using available software. Environmental Progress & Sustainable Energy. 34(2). 319–323. 16 indexed citations
7.
Kadiyala, Akhil & Ashok Kumar. (2015). Multivariate time series based back propagation neural network modeling of air quality inside a public transportation bus using available software. Environmental Progress & Sustainable Energy. 34(5). 1259–1266. 12 indexed citations
8.
Kadiyala, Akhil & Ashok Kumar. (2014). Multivariate time series models for prediction of air quality inside a public transportation bus using available software. Environmental Progress & Sustainable Energy. 33(2). 337–341. 20 indexed citations
9.
Kadiyala, Akhil & Ashok Kumar. (2014). Vector time series models for prediction of air quality inside a public transportation bus using available software. Environmental Progress & Sustainable Energy. 33(4). 1069–1073. 17 indexed citations
10.
Kadiyala, Akhil. (2012). Development and Evaluation of an Integrated Approach to Study In-Bus Exposure Using Data Mining and Artificial Intelligence Methods. OhioLink ETD Center (Ohio Library and Information Network). 9 indexed citations
11.
Kadiyala, Akhil & Ashok Kumar. (2012). Development and application of a methodology to identify and rank the important factors affecting in-vehicle particulate matter. Journal of Hazardous Materials. 213-214. 140–146. 31 indexed citations
13.
Kadiyala, Akhil & Ashok Kumar. (2011). Quantification of in-vehicle gaseous contaminants of carbon dioxide and carbon monoxide under varying climatic conditions. Air Quality Atmosphere & Health. 6(1). 215–224. 21 indexed citations
15.
Kadiyala, Akhil, Devinder Kaur, & Ashok Kumar. (2010). Application of MATLAB to select an optimum performing genetic algorithm for predicting in‐vehicle pollutant concentrations. Environmental Progress & Sustainable Energy. 29(4). 398–405. 18 indexed citations
16.
Kadiyala, Akhil, et al.. (2009). Interpolation of radon concentrations using GIS‐based kriging and cokriging techniques. Environmental Progress & Sustainable Energy. 28(4). 487–492. 14 indexed citations
17.
Kumar, Ashok, et al.. (2009). Development of a spreadsheet for computing downwind concentrations based on the USEPA's AERMOD model. Environmental Progress & Sustainable Energy. 28(2). 185–191. 1 indexed citations
18.
Kadiyala, Akhil. (2008). Identification of Factors Affecting Contaminant Levels and Determination of Infiltration of Ambient Contaminants in Public Transport Buses Operating on Biodiesel and ULSD Fuels. OhioLink ETD Center (Ohio Library and Information Network). 5 indexed citations
19.
Kadiyala, Akhil, et al.. (2008). Development of a tool for the assessment of department specific hospital waste. Environmental Progress. 27(4). 432–438. 1 indexed citations
20.
Kadiyala, Akhil & Ashok Kumar. (2007). Development of an environmental compliance tool for small businesses. Environmental Progress. 26(4). 316–326. 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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