D. B. Panaskar

1.8k total citations
25 papers, 1.4k citations indexed

About

D. B. Panaskar is a scholar working on Geochemistry and Petrology, Environmental Engineering and Water Science and Technology. According to data from OpenAlex, D. B. Panaskar has authored 25 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Geochemistry and Petrology, 15 papers in Environmental Engineering and 14 papers in Water Science and Technology. Recurrent topics in D. B. Panaskar's work include Groundwater and Isotope Geochemistry (18 papers), Groundwater and Watershed Analysis (15 papers) and Water Quality and Pollution Assessment (11 papers). D. B. Panaskar is often cited by papers focused on Groundwater and Isotope Geochemistry (18 papers), Groundwater and Watershed Analysis (15 papers) and Water Quality and Pollution Assessment (11 papers). D. B. Panaskar collaborates with scholars based in India and China. D. B. Panaskar's co-authors include Vasant Wagh, Shrikant Mukate, Aniket Muley, S. P. Gaikwad, James A. Jacobs, Abhay M. Varade, Ajaykumar Kadam, Stephen J. Baker, Ratnakar Dhakate and Paras R. Pujari and has published in prestigious journals such as Ecological Indicators, Environmental Earth Sciences and Hydrological Sciences Journal.

In The Last Decade

D. B. Panaskar

25 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. B. Panaskar India 18 1000 885 824 193 166 25 1.4k
Shrikant Mukate India 17 975 1.0× 831 0.9× 795 1.0× 179 0.9× 158 1.0× 21 1.4k
Mohamed Gad Egypt 24 993 1.0× 787 0.9× 933 1.1× 221 1.1× 160 1.0× 51 1.6k
Aniket Muley India 13 823 0.8× 640 0.7× 732 0.9× 176 0.9× 140 0.8× 21 1.2k
P. J. Sajil Kumar Germany 21 763 0.8× 841 1.0× 604 0.7× 160 0.8× 97 0.6× 34 1.1k
C. Singaraja India 26 832 0.8× 1.1k 1.2× 767 0.9× 242 1.3× 205 1.2× 35 1.5k
P. Aravinthasamy India 22 1.0k 1.0× 1.0k 1.2× 619 0.8× 118 0.6× 158 1.0× 24 1.5k
Jiutan Liu China 22 822 0.8× 1.1k 1.2× 667 0.8× 213 1.1× 215 1.3× 68 1.5k
M. Vasanthavigar India 17 1.0k 1.0× 1.4k 1.6× 1.2k 1.4× 238 1.2× 81 0.5× 22 1.7k
Johnson C. Agbasi Nigeria 25 704 0.7× 489 0.6× 447 0.5× 205 1.1× 304 1.8× 45 1.3k

Countries citing papers authored by D. B. Panaskar

Since Specialization
Citations

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

Fields of papers citing papers by D. B. Panaskar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. B. Panaskar

This figure shows the co-authorship network connecting the top 25 collaborators of D. B. Panaskar. A scholar is included among the top collaborators of D. B. Panaskar 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 D. B. Panaskar. D. B. Panaskar 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.
Mukate, Shrikant, D. B. Panaskar, Vasant Wagh, & Stephen J. Baker. (2019). Understanding the influence of industrial and agricultural land uses on groundwater quality in semiarid region of Solapur, India. Environment Development and Sustainability. 22(4). 3207–3238. 72 indexed citations
2.
3.
Mukate, Shrikant, et al.. (2019). Development of new integrated water quality index (IWQI) model to evaluate the drinking suitability of water. Ecological Indicators. 101. 348–354. 204 indexed citations
4.
5.
Panaskar, D. B., et al.. (2018). An extraction, analysis, and prioritization of Asna river sub-basins, based on geomorphometric parameters using geospatial tools. Arabian Journal of Geosciences. 11(17). 21 indexed citations
6.
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
7.
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
8.
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
9.
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
10.
Panaskar, D. B., et al.. (2017). Geochemical Characterisation of Fluoride Containing Groundwater from Sita Nadi Watershed, Bhokar Taluka, Maharashtra, India. 2 indexed citations
11.
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
12.
Wagh, Vasant, et al.. (2016). Impact of Drought on Environmental, Agricultural and Socio-economic Status in Maharashtra State, India. 4(3). 35–41. 17 indexed citations
13.
14.
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
15.
Panaskar, D. B., et al.. (2014). Evaluation of the seasonal variation in the hydrogeochemical parameters andquality assessment of the groundwater in the proximity of Parli Thermalpower plant, Beed, Maharashtra, India. Advances in Applied Science Research. 5(1). 1 indexed citations
16.
Panaskar, D. B., et al.. (2012). Comparative study of groundwater from basaltic and granitic aquifers ofDharmabad Taluka of Nanded District, Maharashtra. Advances in Applied Science Research. 3(4). 2 indexed citations
17.
Surinaidu, L., et al.. (2012). Assessment of impact of ash ponds on groundwater quality: a case study from Koradi in Central India. Environmental Earth Sciences. 69(7). 2437–2450. 17 indexed citations
18.
Panaskar, D. B., et al.. (2011). Effect of Textile Mill Effluent on Growth of Vigna unguiculata and Pisum sativum Seedlings. Indian Journal of Science and Technology. 4(3). 266–272. 6 indexed citations
19.
Panaskar, D. B., et al.. (2011). Effect of textile mill effluent on growth of Sorghum vulgare and Vigna aconitifolia seedlings. Indian Journal of Science and Technology. 4(3). 273–278. 5 indexed citations
20.
Dhakate, Ratnakar, et al.. (2010). Resolution of freshwater and saline water aquifers by composite geophysical data analysis methods. Hydrological Sciences Journal. 55(3). 414–434. 36 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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