K.M. Kulkarni

1.5k total citations
10 papers, 415 citations indexed

About

K.M. Kulkarni is a scholar working on Geochemistry and Petrology, Environmental Chemistry and Environmental Engineering. According to data from OpenAlex, K.M. Kulkarni has authored 10 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Geochemistry and Petrology, 3 papers in Environmental Chemistry and 3 papers in Environmental Engineering. Recurrent topics in K.M. Kulkarni's work include Groundwater and Isotope Geochemistry (7 papers), Methane Hydrates and Related Phenomena (2 papers) and Groundwater and Watershed Analysis (2 papers). K.M. Kulkarni is often cited by papers focused on Groundwater and Isotope Geochemistry (7 papers), Methane Hydrates and Related Phenomena (2 papers) and Groundwater and Watershed Analysis (2 papers). K.M. Kulkarni collaborates with scholars based in Austria, United States and India. K.M. Kulkarni's co-authors include Pradeep Aggarwal, K. Fröhlich, Laurence Gourcy, K. Froehlich, S. K. Bhattacharya, N. Ahmed, Alamgir Hussain, Robert J. Poreda, Mohamed Ali and Asish R. Basu and has published in prestigious journals such as Geophysical Research Letters, Eos and Hydrological Sciences Journal.

In The Last Decade

K.M. Kulkarni

8 papers receiving 389 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
K.M. Kulkarni Austria	6	277	183	140	81	76	10	415
C. Jusserand France	11	323 1.2×	171 0.9×	128 0.9×	147 1.8×	60 0.8×	22	532
Fumitaka Yanagisawa Japan	8	131 0.5×	214 1.2×	92 0.7×	49 0.6×	81 1.1×	31	409
Kathryn Szramek United States	9	245 0.9×	142 0.8×	39 0.3×	90 1.1×	99 1.3×	10	392
Luis Noriega France	10	169 0.6×	191 1.0×	201 1.4×	63 0.8×	56 0.7×	14	546
Suzanne Hollins Australia	13	314 1.1×	120 0.7×	152 1.1×	153 1.9×	47 0.6×	17	529
I. S. Zektser Russia	10	256 0.9×	82 0.4×	89 0.6×	142 1.8×	127 1.7×	27	476
Ajaz Karim Canada	7	379 1.4×	255 1.4×	106 0.8×	83 1.0×	114 1.5×	8	613
Chris Reich United States	6	282 1.0×	91 0.5×	47 0.3×	81 1.0×	130 1.7×	10	376
Gibran Romero‐Mujalli Germany	8	181 0.7×	167 0.9×	50 0.4×	77 1.0×	74 1.0×	14	359
Adam G. Johnson United States	9	258 0.9×	102 0.6×	87 0.6×	91 1.1×	77 1.0×	18	469

Countries citing papers authored by K.M. Kulkarni

Since Specialization

Citations

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

Fields of papers citing papers by K.M. Kulkarni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K.M. Kulkarni

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

All Works

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10 of 10 papers shown

1.

Kulkarni, K.M., et al.. (2024). “Enhancing Employee Engagement and Productivity With AI”. 13(9). 188–193. 2 indexed citations

2.

Kulkarni, K.M., et al.. (2015). SEASONAL DIVERSITY AND POPULATION DYNAMICS OF OPHIDIAN FAUNA IN BULDHANA DISTRICT MAHARASTRA INDIA. Indian Journal of Scientific Research. 6(1). 23–28.

3.

Zouari, Kamel, et al.. (2008). Hydrogeochemical investigations of recharge and subsequent salinization processes at Al-Raudhatain depression in Kuwait / Analyses hydrogéochimiques de la recharge et des processus associés de salinisation dans la dépression de Al-Raudhatain au Koweit. Hydrological Sciences Journal. 53(1). 204–223. 19 indexed citations

4.

Aggarwal, Pradeep, et al.. (2007). New capabilities for studies using isotopes in the water cycle. Eos. 88(49). 537–538. 23 indexed citations

5.

Povinec, Pavel P., Pradeep Aggarwal, Anna Aureli, et al.. (2006). Characterisation of submarine groundwater discharge offshore south-eastern Sicily. Journal of Environmental Radioactivity. 89(1). 81–101. 52 indexed citations

6.

Aggarwal, Pradeep, et al.. (2006). Environmental isotope investigation of submarine groundwater discharge in Sicily, Italy. 5 indexed citations

7.

Aggarwal, Pradeep, K. Fröhlich, K.M. Kulkarni, & Laurence Gourcy. (2004). Stable isotope evidence for moisture sources in the asian summer monsoon under present and past climate regimes. Geophysical Research Letters. 31(8). 153 indexed citations

8.

Bhattacharya, S. K., K. Froehlich, Pradeep Aggarwal, & K.M. Kulkarni. (2003). Isotopic variation in Indian Monsoon precipitation: Records from Bombay and New Delhi. Geophysical Research Letters. 30(24). 75 indexed citations

9.

Aggarwal, Pramod, et al.. (2001). An inter-laboratory comparison of arsenic analysis in Bangladesh. Draft report. 1 indexed citations

10.

Aggarwal, Pradeep, K. Froehlich, Asish R. Basu, et al.. (2000). A report on isotope hydrology of groundwater in Bangladesh: implications for characterization and mitigation of arsenic in groundwater. 85 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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