Aniket Muley

1.5k total citations
21 papers, 1.2k citations indexed

About

Aniket Muley is a scholar working on Environmental Engineering, Geochemistry and Petrology and Water Science and Technology. According to data from OpenAlex, Aniket Muley has authored 21 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Environmental Engineering, 12 papers in Geochemistry and Petrology and 10 papers in Water Science and Technology. Recurrent topics in Aniket Muley's work include Groundwater and Isotope Geochemistry (12 papers), Groundwater and Watershed Analysis (11 papers) and Water Quality and Pollution Assessment (8 papers). Aniket Muley is often cited by papers focused on Groundwater and Isotope Geochemistry (12 papers), Groundwater and Watershed Analysis (11 papers) and Water Quality and Pollution Assessment (8 papers). Aniket Muley collaborates with scholars based in India and Canada. Aniket Muley's co-authors include Vasant Wagh, D. B. Panaskar, Shrikant Mukate, Ajaykumar Kadam, S. P. Gaikwad, Abhay M. Varade, Bhavana Umrikar, R. N. Sankhua, James A. Jacobs and D. C. Meshram and has published in prestigious journals such as Marine Pollution Bulletin, Environmental Earth Sciences and Groundwater for Sustainable Development.

In The Last Decade

Aniket Muley

21 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aniket Muley India 13 823 732 640 176 140 21 1.2k
Shrikant Mukate India 17 975 1.2× 795 1.1× 831 1.3× 179 1.0× 158 1.1× 21 1.4k
D. B. Panaskar India 18 1000 1.2× 824 1.1× 885 1.4× 193 1.1× 166 1.2× 25 1.4k
Vahab Amiri Iran 21 738 0.9× 625 0.9× 856 1.3× 212 1.2× 184 1.3× 31 1.3k
P. J. Sajil Kumar Germany 21 763 0.9× 604 0.8× 841 1.3× 160 0.9× 97 0.7× 34 1.1k
Jiutan Liu China 22 822 1.0× 667 0.9× 1.1k 1.7× 213 1.2× 215 1.5× 68 1.5k
Mohamed Gad Egypt 24 993 1.2× 933 1.3× 787 1.2× 221 1.3× 160 1.1× 51 1.6k
Emmanuel Daanoba Sunkari Ghana 19 548 0.7× 469 0.6× 789 1.2× 284 1.6× 185 1.3× 60 1.3k
Johnson C. Agbasi Nigeria 25 704 0.9× 447 0.6× 489 0.8× 205 1.2× 304 2.2× 45 1.3k
Samuel Y. Ganyaglo Ghana 17 553 0.7× 456 0.6× 658 1.0× 153 0.9× 269 1.9× 37 1.1k

Countries citing papers authored by Aniket Muley

Since Specialization
Citations

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

Fields of papers citing papers by Aniket Muley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aniket Muley

This figure shows the co-authorship network connecting the top 25 collaborators of Aniket Muley. A scholar is included among the top collaborators of Aniket Muley 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 Aniket Muley. Aniket Muley 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.
Muley, Aniket, et al.. (2024). Identification of Most Preferable Machine Learning Technique for Prediction of Bank Loan Defaulters. Indian Journal of Science and Technology. 17(4). 343–351. 1 indexed citations
3.
Muley, Aniket, et al.. (2022). Optimal Solution to Transportation Problem with Heptagonal Fuzzy Numbers. 3(4). 1–5. 1 indexed citations
4.
Wagh, Vasant, Shrikant Mukate, Aniket Muley, et al.. (2020). Study of groundwater contamination and drinking suitability in basaltic terrain of Maharashtra, India through PIG and multivariate statistical techniques. Journal of Water Supply Research and Technology—AQUA. 69(4). 398–414. 66 indexed citations
6.
Kadam, Ajaykumar, Vasant Wagh, Aniket Muley, Bhavana Umrikar, & R. N. Sankhua. (2019). Prediction of water quality index using artificial neural network and multiple linear regression modelling approach in Shivganga River basin, India. Modeling Earth Systems and Environment. 5(3). 951–962. 185 indexed citations
7.
Wagh, Vasant, et al.. (2019). Development of CCME WQI model for the groundwater appraisal for drinking in Basaltic terrain of Kadava River basin, Nashik, India. 1 indexed citations
8.
Muley, Aniket, et al.. (2018). Multivariate statistical techniques for prediction of tree and shrub species plantation using soil parameters. Modeling Earth Systems and Environment. 4(1). 281–294. 2 indexed citations
9.
Wagh, Vasant, D. B. Panaskar, Aniket Muley, Shrikant Mukate, & S. P. Gaikwad. (2018). Neural network modelling for nitrate concentration in groundwater of Kadava River basin, Nashik, Maharashtra, India. Groundwater for Sustainable Development. 7. 436–445. 98 indexed citations
10.
Wagh, Vasant, D. B. Panaskar, Shrikant Mukate, et al.. (2018). Health risk assessment of heavy metal contamination in groundwater of Kadava River Basin, Nashik, India. Modeling Earth Systems and Environment. 4(3). 969–980. 174 indexed citations
11.
Muley, Aniket, et al.. (2018). Autoregressive integrated moving average time series model for forecasting air pollution in Nanded city, Maharashtra, India. Modeling Earth Systems and Environment. 4(4). 1435–1444. 34 indexed citations
12.
Wagh, Vasant, D. B. Panaskar, James A. Jacobs, et al.. (2018). Influence of hydro-geochemical processes on groundwater quality through geostatistical techniques in Kadava River basin, Western India. Arabian Journal of Geosciences. 12(1). 100 indexed citations
13.
Mukate, Shrikant, et al.. (2017). Impact of anthropogenic inputs on water quality in Chincholi industrial area of Solapur, Maharashtra, India. Groundwater for Sustainable Development. 7. 359–371. 81 indexed citations
14.
Wagh, Vasant, D. B. Panaskar, & Aniket Muley. (2017). Estimation of nitrate concentration in groundwater of Kadava river basin-Nashik district, Maharashtra, India by using artificial neural network model. Modeling Earth Systems and Environment. 3(1). 55 indexed citations
15.
Wagh, Vasant, D. B. Panaskar, Aniket Muley, & Shrikant Mukate. (2017). Groundwater suitability evaluation by CCME WQI model for Kadava River Basin, Nashik, Maharashtra, India. Modeling Earth Systems and Environment. 3(2). 557–565. 66 indexed citations
16.
Wagh, Vasant, et al.. (2016). Prediction of groundwater suitability for irrigation using artificial neural network model: a case study of Nanded tehsil, Maharashtra, India. Modeling Earth Systems and Environment. 2(4). 1–10. 91 indexed citations
17.
Wagh, Vasant, D. B. Panaskar, Abhay M. Varade, et al.. (2016). Major ion chemistry and quality assessment of the groundwater resources of Nanded tehsil, a part of southeast Deccan Volcanic Province, Maharashtra, India. Environmental Earth Sciences. 75(21). 64 indexed citations
19.
Joshi, Mahesh C., et al.. (2016). Analyzing students performance using Academic Analytics. 1–4. 5 indexed citations
20.
Lingras, Pawan, et al.. (2011). Soft clustering from crisp clustering using granulation for mobile call mining. 2. 410–416. 3 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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